From auke.ijspeert at epfl.ch Tue Jan 2 10:40:46 2018 From: auke.ijspeert at epfl.ch (Auke Ijspeert) Date: Tue, 2 Jan 2018 16:40:46 +0100 Subject: Connectionists: EPFL: Two positions (PhD studentship and postdoc) in neuromechanical models of human locomotion Message-ID: <897029ae-2fcb-028b-8d02-45babe27d54d@epfl.ch> PhD studentship and postdoc position in neuromechanical models of human locomotion https://biorob.epfl.ch/openings The Biorobotics laboratory (Biorob, http://biorob.epfl.ch/) at EPFL (Lausanne, Switzerland) has one open PhD studentship and one open postdoc position in numerical simulations of human locomotion. The goal of the project is to develop neuromechanical models of human locomotion, together with St?phane Armand (gait analysis, University of Geneva) and Alexandros Kalousis (machine learning, University of applied sciences, Western Switzerland), in the framework of a collaborative Sinergia project funded by the Swiss National Science Foundation. The neuromechanical models will include numerical models of spinal cord circuits coupled to biomechanical simulations of the body. The purpose of the project is to model pathological gaits resulting from motor impairments such as cerebral palsy, and to compare and combine neuromechanical simulation and machine learning approaches for gait analysis. The positions start in September 2018 and are fully funded for 4 years. EPFL is one of the leading Institutes of Technology in Europe and offers internationally competitive salaries and research infrastructure. Applications will be considered starting from Feb 15 2018, and then continuously until the positions are filled. The starting date is September 2018. See https://biorob.epfl.ch/openings for requirements and how to apply. -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique F?d?rale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www: http://biorob.epfl.ch Email: Auke.Ijspeert at epfl.ch ----------------------------------------------------------------- From J.deGreeff at tudelft.nl Tue Jan 2 12:28:45 2018 From: J.deGreeff at tudelft.nl (Joachim de Greeff) Date: Tue, 2 Jan 2018 18:28:45 +0100 Subject: Connectionists: [2nd CFP] HRI-2018 Workshop on *Longitudinal Human-Robot Teaming* Message-ID: * Apologies for cross postings * ===================================================================== HRI-2018 Workshop -- Longitudinal Human-Robot Teaming March 5, 2018 -- Chicago, IL, USA Website: http://bradhayes.info/hri18/ Submission deadline: January 19, 2018 Contact: J.deGreeff at tudelft.nl ===================================================================== Overview ===================================================================== As robots that share working and living environments with humans proliferate, Human-Robot Teaming (HRT) is becoming more relevant every day. HRT does not happen in just one moment, but extends and develops over time. Long-term joint activity is bound to face changes in the environment, possibly changes in the (structure of) the team and/or in the way that tasks are performed and in the expectations that team members have of each other and their teaming. As a team faces different situations it accumulates experience and this allows it to grow. Longitudinal HRT, i.e. teaming which develops over time, is still relatively under-explored as most studies of HRT focus on teaming which happens in the ?now?. For many domains however, the notion of changes over time is very relevant. Examples include disaster response, public safety, education, and manufacturing, but also emerging fields such as autonomous vehicles. So, how do robots and other artificial agents deal with teamwork from a long-term perspective? How to enable them to track experience in changing conditions, learn from it and adapt to new situations? Models of HRT need to incorporate the time dimension to allow cooperation dynamics to be shaped by a changing environment. Development over time brings about various levels of uncertainty, as many real-life situations are only predictable up to a certain point. Thus, uncertainty poses additional challenges for sustaining effective teaming between humans and robots. Uncertainty can also exist in the spatial environment in which teamwork takes place, and in the interaction between team-members. Topics of interest ===================================================================== Topics include, but are not limited to: - Dealing with changes over time (e.g. task and team structures, goals, etc) - Dealing with uncertainty about the environments (both spatial and social) - Learning and adaptation over time to become an effective team-member - Learning capability boundaries of an autonomous system for optimized task division - Learning user models over time for enabling personalized interaction - Joint activity planning under uncertainty - Designing for long-term interdependence within human-robot teams - Understanding, modeling, and shaping long-term team dynamics in mixed human-robot teams - Collaborator action and sustainable preference modeling - Generating verbal and non-verbal acts for management and coordination of team activities developing over time - Leveraging human-robot interaction to request assistance or to recover from failure modes Keynote Speaker ===================================================================== * Robin Murphy * Raytheon Professor of Computer Science and Engineering at Texas A&M University and Director of TEES Center for Robot-Assisted Search and Rescue (CRASAR) and the Center for Emergency Informatics Submission details ===================================================================== We will accept contributed papers as either extended abstracts/short papers (2-4 pages), industry white papers (2 pages), position papers (up to 8 pages), or technical papers (up to 8 pages). Each paper will be assigned two reviewers that will evaluate the submission based on significance, technical quality, and relevance. All papers should be submitted in PDF format using the HRI LBR template (see http://humanrobotinteraction.org/2018/lbr), and should be sent to longitudinal.teaming at gmail.com. All submitted papers within the scope of the workshop will be peer-reviewed. Papers will be selected based on their originality, relevance, contributions, technical clarity, and presentation. Accepted papers will require that at least one author registers for and attends the workshop. Details are available on the workshop?s website: http://bradhayes.info/hri18/ Important dates ===================================================================== Submission deadline: January 19, 2018 Acceptance notification: February 2, 2018 Camera-ready deadline: February 16, 2018 Workshop: March 5, 2018, 8am to 12.30pm Organizers ===================================================================== - Joachim de Greeff, Delft University of Technology, the Netherlands - Jurriaan van Diggelen, TNO the Netherlands, the Netherlands - Bradley Hayes, University of Colorado Boulder, USA - Ivana Kruijff-Korbayov?, DFKI, Germany Program Committee: - Koen Hindriks, Delft University of Technology, the Netherlands - Matthew Johnson, IHMC, USA - Catholijn Jonker, Delft University of Technology, the Netherlands - Mark Neerincx, Delft University of Technology/TNO, the Netherlands - Matthew Gombolay, Georgia Institute of Technology, the Netherlands - Melissa Cefkin, Nissan USA, the Netherlands - Joachim de Greeff, Delft University of Technology, the Netherlands - Jurriaan van Diggelen, TNO Human Factors, the Netherlands - Bradley Hayes, University of Colorado Boulder, USA - Ivana Kruijff-Korbayova, DFKI, Germany -- ______________________________________________ Dr Joachim de Greeff - Postdoctoral researcher EU FP7 TRADR project (http://tradr-project.eu) Interactive Intelligence group Delft University of Technology EWI / EEMCS - room HB 12.240 Mekelweg 4, 2628 CD, Delft Delft, The Netherlands http://joachimdegreeff.eu ______________________________________________ From uwe.aickelin at unimelb.edu.au Mon Jan 1 23:24:32 2018 From: uwe.aickelin at unimelb.edu.au (Uwe Aickelin) Date: Tue, 2 Jan 2018 04:24:32 +0000 Subject: Connectionists: 15 Academic Positions at the University of Melbourne Message-ID: [Apologies if you receive multiple copies of this announcement] The University of Melbourne School of Computing and Information Systems is seeking applicants for 15 continuing (i.e. tenure-track / permanent ) Lecturer and Senior Lecturer positions. We seek dynamic academics with expertise in Computer Science or Information Systems who have the potential to build a stellar teaching and research career at Melbourne. The School of Computing and Information Systems is an international research leader in computer science, information systems and software engineering. In this discipline, the School was ranked number 1 in Australia and 13th in the world in the 2016 QS World University Ranking exercise. We are particularly seeking applicants with expertise in the areas of business information systems, health informatics/digital health, software engineering, cybersecurity, or high-performance and distributed systems, but applicants whose work is aligned with any of the research groups in the School are encouraged to apply. Applications close on 15 Jan 2018. The positions are advertised at http://go.unimelb.edu.au/jsp6, where the formal position description and a brochure with more information are available. Contact Karin Verspoor karin.verspoor at unimelb.edu.au for enquiries and further information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From guangliang.li2010 at gmail.com Tue Jan 2 22:52:16 2018 From: guangliang.li2010 at gmail.com (Guangliang Li) Date: Wed, 3 Jan 2018 11:52:16 +0800 Subject: Connectionists: [meetings] CfP - ICRA 2018 Workshop on Animated and Real Life Personal Robots Message-ID: <00ACB31C-497F-428C-98E5-0F78F0FB79CD@gmail.com> Apologies for cross posting! *****Call for contributions***** International Conference on Robotics and Automation (ICRA 2018) workshop on "At the Crossroads: Blurring the Lines between Animated and Real Life Personal Robots" https://sites.google.com/site/icra2018workshop/home May 21 or 25, 2018 Brisbane, Australia ------------------------------------ Important dates: Submission deadline: March 15th, 2018 Notification of Acceptance: April 15th, 2018 ------------------------------------ Objectives: The vision of the personal robot has generally been shaped by human perceptions of robots through media and animation. The movie industry has produced animated robot movies for generation across genres with great successes while the advancement in AI is narrowing the gap between fiction and reality. To animate, and the related words, animation, animated and animator all derive from the Latin verb, animare, which means ?to give life to'. In the context of robotics, this involves the design and programming of attributes in order to create the illusion of life. Anthropomorphism, the suspension of disbelief, aesthetics, observation, storytelling, performance, articulation of personality through movement and gesture, and the physiological and psychological nature of character are all aspects of animation that animators deal with on a daily basis. In the meantime, researchers have been working relentlessly in the pursuit of bringing human-like capabilities to machines through AI. In this workshop we would like to explore the principals and practice of animators drawing in from their experience that delivered us robot characters we come to love and adore. Their skills together with the techniques of robotics can contribute immensely in giving ?the illusion of life? to personal robots and assist in enhancing human-robot interaction experience. ------------------------------------ We invite interested researchers to submit your work or ideas addressing topics related to the workshop to EasyChair: https://easychair.org/conferences/?conf=apr2018 . Papers should be submitted electronically with two-column format in the IEEE style. The length of submitted Paper should be up to 6 pages. The reviewing process is single blind. The accepted papers will have the opportunity to present your work/ideas in a poster session or oral presentation. We are currently considering the publication of the accepted papers to a special issue or a book chapter. ----------------------------------- Topics of interest: ? Animation in robotics design ? Aesthetics, Movement and the Uncanny Valley ? Anthropomorphism, hyper realism and robotics: to be or not to be ? The principles of animation and Human-robotic interaction ? The performative robot ? Facial animation and communication ? Attributes and emotion ? Designing for Empathy ? Emotional Affordance and the animator's toolkit ? Socially Intelligent Robots ? Collaborative Robotics ? Human Robot Interaction ? Human Behaviour Modeling ? Affective Computing ? Mutual shaping of robots and human ? Performance metrics and benchmarking ? Designing and animating life ? Body language and communication ? Suspension of Disbelief ? Evaluation of the affects of mimicry and originality in robot design ? Paralanguage and the communicative robot ? Navigating the languages of science and design in robotics -------------------------------------- Invited Speakers: ? Deane Taylor, Animation Concept Artist, Production Designer, Illustrator and Director, USA ? Rachid Alami , LAAS CNRS, France --------------------------------------- Organizing Committee: Randy Gomez , Honda Research Institute Japan Deborah Szapiro , University of Technology Sydney Luis Merino ? , University of Pablo Olavide Guangliang Li , Ocean University of China Keisuke Nakamura , Honda Research Institute Japan Manuel Muehlig , Honda Research Institute Europe Bert Bongers , University of Technology Sydney Hiroshi Okuno , Waseda University and Kyoto University Please check the updates on the workshop website: https://sites.google.com/site/icra2018workshop/home . If you have any questions, please contact Guangliang Li at guangliangli at ouc.edu.cn or Randy Gomez r.gomez at jp.honda-ri.com ------------------------ Guangliang Li Assistant Professor, Department of Electronic Engineering, College of Information Science and Engineering, Ocean University of China, China Songling Road 238, 266100, Qingdao, China Room: South Building B208 Email: guangliang.li2010 at gmail.com https://guangliangsite.wordpress.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Tue Jan 2 10:51:54 2018 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 2 Jan 2018 15:51:54 +0000 Subject: Connectionists: Deadline extension --- SBP-BRiMS'2018 -- Social Computing, Behavior/Cultural Modeling, Prediction & Simulation In-Reply-To: References: , <7F764823-1B48-42D3-AE2E-520611D0232D@jhuapl.edu>, , , , , Message-ID: Apologies if you receive multiple copies ... 2018 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation July 10 (Tuesday) - 13 (Friday), 2018, George Washington University, Washington DC, USA http://sbp-brims.org Please note the extended deadline for paper submission... IMPORTANT DATES: Regular Paper (10-page) Submission: New Deadline: 11-January 2018 Author Notification: New Date: 12-February-2018 Final Version Submission: 26-February-2018 Short/Late Breaking Paper (6-page) Submission: 14-May-2018 Tutorial, Demo, and Challenge Problem Submissions: 14-May-2018 Doctoral consortium submissions due: 14-May-2018 Author Notification: 01-June-2018 Final Version Submission for Short Papers: 18-June 2018 Final Version Submission for Challenge Problem: 25-June 2018 All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Top papers will be invited to publish an extended version in a special issue of Computational and Mathematical Organization Theory. All accepted regular papers will be published in our archival physical proceedings - the Springer LNCS volume. Short papers are intended for late breaking findings, research at a more conceptual stage, and other research not appropriate as a regular paper. Accepted short papers will be published only in our on-line non-archival proceedings. The conference will include the following special sessions: Pre-conference Tutorial Sessions: July 10 (first day of the conference) Graduate Consortium: July 13 Poster Session: At Conference Poster Night Technology Demos: During Conference lunch times and Poster Night Challenge Problem Evaluation: At Conference Poster Night Funding Panel & Cross-Fertilization Roundtable* * Previous SBP conferences have included a Cross-Fertilization and/or Funding Panels. The purpose of these panels is to help participants become better acquainted with people outside of their discipline and provide an opportunity for conference participants to interact with program managers from various federal funding agencies. FORMAT AND SUBMISSION: See our webpage (http://sbp-brims.org) for format details. For any questions and inquiries concerning submissions, please email at sbpbrims at andrew.cmu.edu. CALL FOR PAPERS: SBP-BRIMS is an interdisciplinary conference integrating methods from the computational sciences and the social sciences. Submissions are solicited on research issues, theories, methodologies, and applications. Late-breaking research is encouraged. Historical topics of interest have included the following, however this is by no means exhaustive or exclusive: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and evolution * Collective action, public opinion representation, and governance * Cultural patterns, representation, and psycho-cultural situation awareness * Social conventions, social contexts and influence processes * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking Information, Systems, & Network Science * Data mining and analytics on social media for social and human dynamics * Diffusion and other dynamic processes over networks * Detection and inference over network topologies and changes over time * Analysis of high-dimensional networks, link formations, and link types Military & Intelligence Applications * Evaluation, modeling and simulation of military capacities and political influence * Impact of technological innovation on influence and information spread * Group representation and profiling, including extremist behaviors and policies * Cybersecurity, cyber-policy, and attribution * Methods of collating open source data into information describing events and activities Applications for Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Model federation, validation and integration * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation TRAVEL SCHOLARSHIPS: It is anticipated that a limited number travel scholarships will be available on a competitive basis. Additional information will be provided on the SBP-BRiMS Conference website as it becomes available. -------------- next part -------------- An HTML attachment was scrubbed... URL: From inesdomingues at gmail.com Thu Jan 4 07:28:21 2018 From: inesdomingues at gmail.com (=?UTF-8?Q?In=C3=AAs_Domingues?=) Date: Thu, 4 Jan 2018 12:28:21 +0000 Subject: Connectionists: VISUM 2018 Summer School :: CALL FOR PARTICIPATION Message-ID: *Please spread the word* * Call for Participation The sixth edition of the Vision Understanding and Machine Intelligence (VISUM) Summer School will take place between 5 and 13, July 2018, in Porto - Portugal. This year the following topics will be covered: 1. Computer Vision and Machine Learning 2. Affective Computing 3. Deep Learning 4. Statistical Shape Modelling 5. Human Behaviour Analysis 6. Brain Image Analysis World-renowned experts in the fields will deliver the courses, and the material covered will guide you in building your own AI system as a curricular project. Aside from the theoretical relevance of the topics covered, and the experience of building a practical AI application, the school aims to provide a stimulating opportunity for students, young researchers and professionals with interests in Computer Vision and Machine Learning. The participants will benefit from direct interaction with representatives from the most relevant industries in the field, as well as top academics. Application deadline 23 February 2018 Intended audience In general, people that have been exposed to introductory topics of Computer Vision and Machine Learning will find this to be an excellent opportunity to grow their knowledge base. The target audience is therefore: 1. MSc and PhD students 2. Researchers and Post-doctoral scholars 3. Industry professionals Social Program Porto is an eclectic city. Benefiting from low-cost flights, thousands of tourists visit each year. You?ll get a chance to see why so many people are attracted by the city. Well known by its cellars, resting place for the famous wine, Porto as a lot to offer. In the social day (Sunday), we?ll tour the city and check some of its coolest spots. List of invited speakers * * Alejandro Frangi, University of Sheffield, UK Bj?rn W. Schuller, University of Augsburg, DE Michel Valstar, University of Nottingham, UK Jaime S. Cardoso, University of Porto, PT Lu?s Teixeira, University of Porto, PT Industry panel IBM Research AI, IBM T. J. Watson Research Center / by John R. Smith, USA Bosch / by to be announced Tecnalia / by Thierry Keller, ES Neadvance / by Manuel Jo?o Ferreira, PT CardioID / by Andr? Louren?o, PT NOTE: the completed list of speakers and industrial panel will be revealed soon! Website visum.inesctec.pt * -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: dhckcnjcjohdhpol.jpg Type: image/jpeg Size: 208647 bytes Desc: not available URL: From mfasli at essex.ac.uk Thu Jan 4 09:59:08 2018 From: mfasli at essex.ac.uk (Fasli, Maria) Date: Thu, 4 Jan 2018 14:59:08 +0000 Subject: Connectionists: RCUK Innovation Fellowship in AI/ML, University of Essex Message-ID: <735E858D-FD45-4682-8386-D7664234918C@essex.ac.uk> Apologies for cross postings *** RCUK Innovation Fellowship *** Institute for Analytics and Data Science University of Essex, UK 3 year Fellowship post Grade 8: ?32,548-?38,832 per annum/Grade 9: ?39,993- ?41,212 per annum Closing Date: 8th January 2018 The University of Essex (UK) is currently advertising an RCUK Innovation Fellowship (3 years) in the Institute for Analytics and Data Science (IADS) on ?Discovering Individual and Social Preferences through Inverse Reinforcement Learning?. Appointment to this post will be made as Research Fellow. The main duties of the post include to undertake foundational and applied Research and high quality independent and collaborative research within the scope of the RCUK Innovation Fellowship that meets REF standards. Other duties include to contribute to Public Engagement & Impact such as community engagement and interactions with other public sector bodies, business and the third sector. The candidate will be required to comply with the conditions of the RCUK Fellowship (for more details see job specification). Applicants are also required to have a PhD (or be near completion) in Quantitative Social Science, Computer Science, Artificial Intelligence, Data Science, Statistics, or related discipline, or related professional experience. Candidates should have a maximum of four years academic research experience following the submission of their PhD, or be of equivalent professional standing. Particular research areas of interest include but are not limited to: * quantitative methods; * advanced statistical methods; * machine learning; * reinforcement learning; * social preference and social choice. For more information and to make an application, please see here: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=149758FjYY&WVID=9918109NEm&LANG=USA The job specification can be found here: https://www1.essex.ac.uk/hr-jobpacks/science_health-csee/REQ01033_Jobpack.pdf Informal enquiries can be directed to Prof Maria Fasli (mfasli at essex.ac.uk). Professor Maria Fasli PhD, NTF, FHEA UNESCO Chair in Analytics and Data Science Director, Institute for Analytics and Data Science University of Essex T +44 (0)1206 872327 E mfasli at essex.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From mfasli at essex.ac.uk Thu Jan 4 10:12:44 2018 From: mfasli at essex.ac.uk (Fasli, Maria) Date: Thu, 4 Jan 2018 15:12:44 +0000 Subject: Connectionists: Artificial Intelligence Industry Fellow (Lecturer) post Message-ID: <40824BF0-28EB-4D9F-B08F-E02FFBE0E593@essex.ac.uk> Apologies for cross postings *** Artificial Intelligence Industry Fellow (Lecturer) *** Institute for Analytics and Data Science University of Essex, UK ?39,993 - ?47,722 per annum Closing Date: 8th January 2018 The University of Essex (UK) is currently advertising an Artificial Intelligence Industry Fellow (3 years). This is an appointment as a Lecturer in the School of Computer Science and Electronic Engineering, with a three year secondment as Artificial Intelligence (AI) Industry Fellow to the Institute for Analytics and Data Science (IADS). During the secondment as AI Industry Fellow in IADS, the duties will be focused on undertaking research, developing research proposals, developing and undertaking collaborative projects with businesses, knowledge exchange, and supporting analytics and data science training programmes throughout the year. The Fellow will also undertake some teaching and supervision duties within the School of Computer Science and Electronic Engineering. On completion of the secondment, the appointee will return to the School of Computer Science and Electronic Engineering, undertaking the normal range of education, research and administration duties. The person appointed will work closely with the Director of the Institute and UNESCO Chair in Analytics and Data Science, Prof Maria Fasli and Assistant Director Dr Spyros Samothrakis. Applicants should hold a PhD in Computer Science or related area and have excellent knowledge of computer science, artificial intelligence, machine learning or advanced text analytics. Particular research areas of interest include but are not limited to: - machine learning; - reinforcement learning, neural networks, deep learning; - data mining; - predictive analytics; - natural language processing and advanced text analytics; - semantic information extraction and the Semantic Web; - social media analysis; - handling of data in motion (multi-stream processing and reasoning, complex event processing and reasoning); - decision support tools and systems. For more information and to make an application, please see here: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=016430Ek80&WVID=9918109NEm&LANG=USA The job specification can be found here: https://www1.essex.ac.uk/hr-jobpacks/science_health-csee/REQ00946_Jobpack_extended.pdf Informal enquiries can be directed to Prof Maria Fasli (mfasli at essex.ac.uk). Professor Maria Fasli PhD, NTF, FHEA UNESCO Chair in Analytics and Data Science Director, Institute for Analytics and Data Science University of Essex T +44 (0)1206 872327 E mfasli at essex.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From mfasli at essex.ac.uk Thu Jan 4 09:55:13 2018 From: mfasli at essex.ac.uk (Fasli, Maria) Date: Thu, 4 Jan 2018 14:55:13 +0000 Subject: Connectionists: Research Fellow post in Machine Learning (leading to permanent academic position) Message-ID: Apologies for cross postings ***Postdoctoral Research Fellow Post in Machine Learning/Artificial Intelligence*** 3-year Fellowship post leading to permanent academic position ?32,548 - ?38,832 per annum Institute for Analytics and Data Science University of Essex, UK Closing date: 8th January The University of Essex (UK) is currently advertising a Postdoctoral Research Fellow post in the Institute for Analytics and Data Science (IADS) to support the Institute?s work in analytics, data science and big data. The post is for an initial 3-year period within IADS during which the post-holder will be on probation. On successful completion of the Fellowship and the probation period, the post-holder will be offered a permanent appointment as a Lecturer in the School of Computer Science and Electronic Engineering at the University of Essex. The duties of the Postdoctoral Research Fellow include undertaking high quality independent and collaborative research that meets REF standards, applying for grants, contributing to public engagement and impact, developing interdisciplinary collaborations within IADS, supporting the research culture of the Institute, supervising students, and supporting IADS administratively. The Fellow will also undertake a limited amount of teaching to enable them to meet the requirements of probation, and to provide a good foundation in higher education practice for the Fellow's ongoing career. The person appointed will work closely with the Director of the Institute and UNESCO Chair in Analytics and Data Science, Prof Maria Fasli and Assistant Director Dr Spyros Samothrakis. Applicants should hold a PhD in Computer Science or related area and have excellent knowledge of computer science, artificial intelligence, machine learning or advanced text analytics. Particular research areas of interest include but are not limited to: - machine learning; - reinforcement learning, neural networks, deep learning; - data mining; - predictive analytics; - natural language processing and advanced text analytics; - semantic information extraction and the Semantic Web; - social media analysis; - handling of data in motion (multi-stream processing and reasoning, complex event processing and reasoning); - decision support tools and systems. For more information and to make an application, please see here: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID%3d333171EkCU%1BUSESSION=DCC131C22B8346FFB7FC55A2DC3B41FD&WVID=9918109NEm&LANG=USA The job specification can be found here: https://www1.essex.ac.uk/hr-jobpacks/science_health-csee/REQ00948_Jobpack_Published.pdf Informal enquiries can be directed to Prof Maria Fasli (mfasli at essex.ac.uk). Professor Maria Fasli PhD, NTF, FHEA UNESCO Chair in Analytics and Data Science Director, Institute for Analytics and Data Science University of Essex -------------- next part -------------- An HTML attachment was scrubbed... URL: From Doug.Leith at tcd.ie Thu Jan 4 12:58:53 2018 From: Doug.Leith at tcd.ie (Douglas Leith) Date: Thu, 4 Jan 2018 17:58:53 +0000 Subject: Connectionists: PhD Scholarship in Privacy & Recommender Systems at Trinity College Dublin Message-ID: <07AAF2DF-48CD-473C-9943-32C40B304DC4@tcd.ie> PhD position in the School of Computer Science and Statistics (SCSS), Trinity College Dublin (TCD). The position is part of a project working on developing new types of recommender system that have both better performance than existing approaches and yet are much more private, requiring essentially no individually identifying information. Areas include: ? Privacy-enhanced statistical machine learning methods ? Recommender systems, including private search ? Highly scalable optimisation/learning algorithms Relevant analytic tools include methods from Bayesian statistics, stochastic optimisation, decision and queueing theory. TCD is the leading university in Ireland and SCSS is the top ranked Computer Science department. The successful applicant will enter a vibrant, stimulating research environment, positioning them well for their career development. The SCSS has an active international visitor programme and provides the opportunity for international and industry exchange visits. For more information on the research group and its activity, please visit www.scss.tcd.ie/Doug.Leith/ This postgraduate scholarship is open to both EU and international students. Further details on the position can be found here: https://www.scss.tcd.ie/doug.leith/vacancies2.htm Position will remain open until filled. From pblouw at uwaterloo.ca Thu Jan 4 12:53:44 2018 From: pblouw at uwaterloo.ca (Peter Blouw) Date: Thu, 4 Jan 2018 12:53:44 -0500 Subject: Connectionists: Call for Applications - 2018 Nengo Summer School Message-ID: [All details about this school can be found online at https://www.nengo.ai/summerschool] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce a special version of our annual Nengo summer school that will host the* first public access* to *Braindrop*, a new mixed analog-digital neuromorphic chip developed in collaboration with Stanford and Yale. In addition to introducing Braindrop, this two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [1]. Nengo is also being used to program a variety of state-of-the-art neuromorphic chips, including Braindrop! For a look at last year's summer school, check out this short video: https://goo.gl/4tVUkQ We welcome applications from all interested graduate students, research associates, postdocs, professors, and industry professionals with a relevant background. [1] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] Application Deadline: February 15, 2018 *Format*: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: - interface Nengo with various kinds of neuromorphic hardware - build perceptual, motor, and cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - integrate machine learning methods into biologically oriented models - interface Nengo with cameras and robotic systems - implement modern nonlinear control methods in neural models - and much more... *Date and Location:* June 3th to June 15th, 2018 at the University of Waterloo, Ontario, Canada. *Applications*: Please visit http://www.nengo.ai/summerschool, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Peter Blouw (peter.blouw at appliedbrainresearch.com). We look forward to hearing from you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.reske at fz-juelich.de Fri Jan 5 06:54:06 2018 From: m.reske at fz-juelich.de (Martina Reske) Date: Fri, 5 Jan 2018 12:54:06 +0100 Subject: Connectionists: Open PhD positions in Computational Neuroscience in Juelich, Germany Message-ID: <60c0a0e5-4072-a6fe-fa6c-570450a26e73@fz-juelich.de> We are looking for theoretically interested candidates with a bachelor or master?s degree in physics, mathematics, or computer science who want to join us on the quest to understand how the brain works. The department INM-6, Computational and Systems Neuroscience (www.csn.fz-juelich.de) at the J?lich Research Centre develops mathematical models of neuronal dynamics and function. Model-driven analyses of brain activity and structure as well as simulation and analytical investigation of biologically realistic models form the core of our work. To achieve our aims we work on the theoretical foundations of our field by importing and adapting methods of modern theoretical physics and develop analysis software and simulation technology for supercomputers. The institute is also part of the Institute for Advanced Simulation (IAS-6, Theoretical Neuroscience) and hosts the Coordination Site (BCOS) of the national Bernstein Network Computational Neuroscience. Among other projects, the INM-6/IAS-6 participates in the EU flagship ?Human Brain Project? (HBP, www.humanbrainproject.eu). Together with its partners, the INM-6 develops the leading simulation code (NEST) for brain-scale networks at cellular resolution in an open-source approach (www.nest-initiative.org). NEST has been under continuous development for 20 years and serves a worldwide community. The second community code hosted by the department is the Elephant toolbox for the analysis of massively parallel electrophysiological data. We are also applying our knowledge to the creation of novel computing architectures specialized for the simulation of neural networks, a field called neuromorphic computing. We offer participation in a young, dynamic, and internationally connected team, with a high percentage of female researchers at all levels, performing cutting-edge research. A structured program guides the doctoral researcher through the PhD work. Candidates receive advanced education in all competence fields required for computational neuroscience: neurobiology, theory of neuronal networks, data analytics, and simulation science. In addition introductions are provided into good scientific practice and key competences like scientific writing. Researchers have access to the best possible equipment for communication, computing, and making coffee. We expect a good command of English, openness to spending some time abroad in one of our partner laboratories, and an excellent background in mathematics or programming in C++ or Python. We accept applications any time. The J?lich Research Centre is one of the largest research centers in Europe, with excellent scientific equipment, located on a green campus near the cultural centers Cologne, D?sseldorf, and Aachen. Please send a motivation letter, CV, publication list, and copies of school and university certificates as a single PDF email attachment (max. 10 MB) to: Martina Reske, PhD (m.reske at fz-juelich.de) ? scientific coordinator (www.csn.fz-juelich.de). Examples of presently open positions 1. We have an open PhD position in the framework of the HBP. The project focuses on the development of a large-scale multi-area model of the cortex, the outer shell of the brain. The model is formulated on the level of point neurons, mathematically equivalent to an impulse-coupled set of differential equations that phenomenologically describes the brain activity. The project integrates the latest connectivity data available from anatomical databases into a coherent model and analyzes the resulting dynamical properties. A major challenge of the project lies in the construction of a model that satisfies constraints not only on the structural level, but also on the level of neuronal activity. We therefore employ analysis methods known from statistical physics and many-particle systems, such as mean-field reductions, to understand and control the dynamical properties of the resulting, strongly interacting dynamical system. 2. A second open position is also related to the HBP and has the focus on simulation technology for exascale supercomputers. Here we are exploring advanced memory layouts and communication strategies. The candidate is embedded into a team experienced in simulation science and is expected to also join projects with a focus on understanding network dynamics. The results of the work will enter production code and will be published in peer-reviewed journal articles. Scientific stays at our partner laboratory in Norway are planned. 3. A position for a PhD student is available at the newly established interdisciplinary institute ?Brain Structure-Function Relationships? (INM-10). The INM-10 is a virtual institute of the J?lich-Aachen Research Alliance (JARA) led by three directors: Prof. Frank Schneider (University Hospital Aachen), Prof. Ute Habel (School of Medicine, RWTH Aachen University), and Prof. Markus Diesmann (INM-6, Computational and Systems Neuroscience, Research Centre J?lich). The present project will mainly be embedded in the INM-6, but will involve a close collaboration with the group of Prof. Dirk Feldmeyer (Function of Cortical Microcircuits group, INM-2, Research Centre J?lich). The student will investigate network effects of acetylcholine in neocortex using modeling and simulation approaches. Acetylcholine is a neurotransmitter and neuromodulator involved in regulating attention, motivation, memory, and arousal. While the effects of acetylcholine on single neurons have been investigated in some detail, the mechanisms underlying its network-level effects are still poorly understood. The research will be performed in close collaboration with experimentalists in the same institute. The modeling work is expected to yield proposals for new experiments, leading to an interactive loop between modeling and experiments. -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience J?lich Research Centre and JARA J?lich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From graduateprograms at bccn-berlin.de Fri Jan 5 10:51:39 2018 From: graduateprograms at bccn-berlin.de (Robert Martin) Date: Fri, 5 Jan 2018 16:51:39 +0100 Subject: Connectionists: *Graduate Programs in Computational Neuroscience* in Berlin; MSc and PhD; deadline March 15, 2018, deadline for PhD scholarships Jan 14, 2018 Message-ID: [Apologies for cross-posting] *Doctoral* and *Master Program* "Computational Neuroscience" at the Bernstein Center for Computational Neuroscience Berlin in Berlin, Germany Application deadline: *March 15, 2018* PhD Scholarships: *January 14, 2018* Begin of courses: Sept/Oct 2018 Internet: www.computational-neuroscience-berlin.de _Doctoral Program_ The Bernstein Center for Computational Neuroscience Berlin (BCCN Berlin, https://www.bccn-berlin.de/) and the Research Training Group "Sensory Computation in Neural Systems" (GRK 1589/2, https://www.eecs.tu-berlin.de/grk_15891/) invite applications for their PhD program. The BCCN Berlin is a leading research center dedicated to the theoretical study of neural processing and the *scientific program* of the research training group combines techniques and concepts from machine learning, computational neuroscience, and systems neurobiology in order to specifically address sensory computation. Doctoral candidates will work on interdisciplinary projects investigating the mechanisms of neural computation, address the processes underlying perception on different scales and different levels of abstraction, and develop new theories of computation hand in hand with well-controlled experiments in order to put functional hypotheses to the test. The training group offers structured supervision complemented by a teaching and training program. Each student will be supervised by two investigators with complementary expertise and will be associated with the Bernstein Center for Computational Neuroscience Berlin. Candidates are expected to hold a Masters degree (or equivalent) in a relevant subject (e.g., neuroscience, cognitive science, computer science, physics, mathematics, etc.) and have the required advanced mathematical background. _Master's Program_ The tuition-free Master program in Computational Neuroscience offers *15 places* per year, has a duration of 2 years and is fully taught in English. The *curriculum* is subdivided into ten modules, whose content includes theoretical neuroscience, programming, machine learning, cognitive neuroscience, acquisition, modelling, and computational analysis of neural data, with a strong focus on a complementary theoretical and experimental training. Three lab rotations and a Master's thesis are accomplished in the second year. The aim of the program is to provide the students with an interdisciplinary education and an early contact to the neurocomputational research environment. *Requirements* BSc or equivalent degree in a relevant subject (typically in the natural sciences, in an engineering discipline, in cognitive science, or in mathematics), certificate of English proficiency, proof of sufficient mathematical knowledge (at least 24 ECTS credit points). _Neurosciences in Berlin_ _International PhD Fellowships_ The BCCN Berlin is part of the newly created Einstein Center for Neurosciences Berlin (ECN). The ECN was initiated by the joint research networks listed below to harmonize existing training programs in the neurosciences in Berlin, with the goal of strengthening an already strong research landscape and consolidating a PhD education equal to the highest international standards. The ECN invites applications for *scholarships* for its PhD program starting in Fall 2018. Deadline for application is *January 14* 2018. ECN member institutions are: The Berlin School of Mind and Brain The Bernstein Center for Computational Neuroscience Berlin The Center for Stroke Research Berlin The Cluster of Excellence NeuroCure The ECN member institutions promote cutting-edge neuroscientific research across a wide range of different disciplines and approaches. The ECN provides the umbrella structure that specifically fosters interdisciplinary, collaborative research by facilitating cooperation between these institutions, and by promoting interaction on all levels. With around 100 internationally recognized research groups, the ECN offers outstanding interdisciplinary training and research opportunities for national and international scientists, with research spanning from synapse to behavior, molecule to disease, and brain to mind. How to apply: Visit http://www.ecn-berlin.de/ Closing date for applications is January 14, 2018. The final interview will take place in March 2017. The ECN is an inter-institutional research network funded by Einstein Foundation Berlin and jointly supported by the Charit? - Universit?tsmedizin Berlin, the Freie Universit?t Berlin, the Humboldt-Universit?t zu Berlin and the Technische Universit?t Berlin, as well as the non-university partners Max Delbr?ck Center for Molecular Medicine and Leibniz-Institut f?r Molekulare Pharmakologie. ~~~ _For more information_ ... ... come and visit us at the BCCN Berlin: https://www.bccn-berlin.de/Home/Contact/How_to_reach/ ... or browse: www.computational-neuroscience-berlin.de ... or e-mail: graduateprograms at bccn-berlin.de . Best regards, Robert Martin -- Robert Martin, PhD Teaching Coordinator Bernstein Center for Computational Neuroscience Humboldt-Universitaet zu Berlin Philippstr. 13 House 6; 10115 Berlin; Germany Phone/Fax +49 (0)30 2093 6773/6771 http://www.computational-neuroscience-berlin.de GRK 1589/1, Sensory Computation in Neural Systems Technische Universitaet Berlin Sekretariat MAR 5-6; Marchstr. 23; 10587 Berlin Phone/Fax +49 (0)30 314 72006/73121 http://www.eecs.tu-berlin.de/grk_15891/ From simon.lucas at qmul.ac.uk Fri Jan 5 12:44:54 2018 From: simon.lucas at qmul.ac.uk (Simon Lucas) Date: Fri, 5 Jan 2018 17:44:54 +0000 Subject: Connectionists: Fully Funded PhD Studentships in Game AI Message-ID: <5F164307-C458-4BB3-BBC4-9CD6EA157274@qmul.ac.uk> We invite applications for fully-funded PhD studentships in Game AI and related areas. There are two types available: * IGGI Centre for Doctoral Training: http://iggi.org.uk (see Queen Mary University of London supervisors here: http://gameai.eecs.qmul.ac.uk/iggi2018-cfc/ ) These are 4-year studentships, with significant taught components and industry placements, but restricted to UK/EU students apart from exceptional cases. There are 12 studentships available across the 4 IGGI sites (York, Essex, Goldsmiths and QMUL) * Queen Mary University of London (QMUL) funded studentships: these are 3-year studentships open to candidates from any country (we have several of these available) http://gameai.eecs.qmul.ac.uk/phd-studentships2018/ Games provide a perfect test bed and application area for AI. Recent advances in AI have been amazing, and will take many aspects of games to exciting new levels in the coming years. We look forward to receiving applications from talented and enthusiastic candidates. Please see above links for details of how to apply. Deadline in each case is 31 Jan 2018. Professor Simon Lucas Head of School Electronic Engineering and Computer Science Queen Mary University of London -------------- next part -------------- An HTML attachment was scrubbed... URL: From vinxlemons at gmail.com Sat Jan 6 12:51:39 2018 From: vinxlemons at gmail.com (vincenzo lomonaco) Date: Sat, 6 Jan 2018 12:51:39 -0500 Subject: Connectionists: CORe50: a new Dataset and Benchmark for Continuous/Lifelong Object Recognition Message-ID: <7056cb85-cb7f-ac5e-8225-e1cfc94278ca@gmail.com> Dear all, We are happy to announce that the CORe50 dataset from the paper ?/CORe50: a new Dataset and Benchmark for Continuous Object Recognition/? (CoRL, 2017) is now publicly available at the link: https://vlomonaco.github.io/core50/ *CORe50*, specifically designed for /Continuous/Lifelong Learning/ and /Object Recognition/, is a collection of more than 500 videos (30fps) of 50 domestic objects belonging to 10 different categories. Instance level granularity, temporal coherence, first-person point-of-view and very different environmental conditions and backgrounds (outdoor sessions included) is what makes CORe50 particularly useful for assessing /Continuous Learning/ techniques. On top of the CORe50 dataset we are also happy to release a 3-way benchmark with multiple baselines and a living leaderboard to keep track of the progresses made in this new exciting area! For downloading the code, the dataset, the benchmark and more, check out the official website https://vlomonaco.github.io/core50/ Best regards, Vincenzo Vincenzo Lomonaco, M.Sc. PhD Students' Representative @ DISI, University of Bologna http://www.vincenzolomonaco.com/ Linkedin Twitter Facebook Google+ -------------- next part -------------- An HTML attachment was scrubbed... URL: From huawei.london at yahoo.com Mon Jan 8 06:12:09 2018 From: huawei.london at yahoo.com (Biswa Sengupta) Date: Mon, 8 Jan 2018 11:12:09 +0000 (UTC) Subject: Connectionists: Huawei AI Theory Lab Job Advert References: <571713394.2416147.1515409929715.ref@mail.yahoo.com> Message-ID: <571713394.2416147.1515409929715@mail.yahoo.com> Huawei AI Theory Lab Job Advert Applications are invited for research internships as well as for research scientist positions to join Huawei Research and Development?s research arm (Noah?s Ark lab) in London (UK), Hong Kong, Shenzhen and Beijing. We are looking for candidates who have the skills and research experience to join a new research team to push the boundaries of pure mathematics, theoretical statistics (incl. parametric and non-parametric Bayesian statistics) and machine learning (incl. deep learning and reinforcement learning). A proven record of publications (in reputed conferences such as NIPS, COLT, UAI, ICML, AISTATS, JMLR, PAMI, and others) and prototyping skills in terms of developing algorithms, in any language, is essential. As an industry research laboratory, we pursue both theoretical and applied research, where one feeds into the other. Like academia, knowledge dissemination is through the publication of papers in reputed journals, conferences and workshops, as well as patents. We have current collaborations with world-renowned academic institutions; fostering such industry-academia partnerships is deemed an essential quality for research interns/scientists. The successful applicant will be based at our offices in London (UK), Hong Kong, Shenzhen and Beijing, and will be part of a successful R&D team comprising research scientists, research engineers and software developers.? Qualifications, skills and other information: 0 Applicants for research scientists generally have a PhD degree and/or postdoctoral experience in computer science, engineering, statistics, mathematics, and allied disciplines. Research interns are PhD students1 Knowledge of Bayesian statistics2 Knowledge of reinforcement learning3 Knowledge of deep learning methodologies, such as convolutional and recurrent networks4 Technical familiarity with at least one of the following: Python, C/C++, Java, Scala, etc. Salary is commensurate to experience/skill-set.?Email to send across CVs: noahlab at huawei.com, mentioning a preference for location (London (UK), Hong Kong, Shenzhen and Beijing). Please mention AI Theory Lab on your covering letter so that it is directed to the specific group. Research Internships: Please format subject line of the email as: AITheory_Name_RI_CurrentDegreeUniversity_currentlocationResearch scientists: Please format subject line of the email as: AITheory_Name_RS_CurrentPlaceofWork_currentlocation -------------- next part -------------- An HTML attachment was scrubbed... URL: From barros at informatik.uni-hamburg.de Mon Jan 8 08:20:20 2018 From: barros at informatik.uni-hamburg.de (Pablo Barros) Date: Mon, 8 Jan 2018 14:20:20 +0100 Subject: Connectionists: 2nd CFP: Special Session on Neural Models for Behavior IJCNN 2018 Message-ID: <2b869360-41c1-c596-70d3-7e40b3559f5e@informatik.uni-hamburg.de> 2nd Call for papers: special session on ?Neural Models for Behavior Recognition? at IJCNN 2018 - http://www.ecomp.poli.br/~wcci2018/ International Joint Conference on Neural Networks, hosted at IEEE World Congress on Computational Intelligence (IEEE WCCI 2018) 8-13 July 2018, Rio de Janeiro, Brazil Special Session on Neural Models for Behavior Recognition Organized by: Pablo Barros (Universit?t Hamburg, Germany), Bruno Fernandes (Universidade de Pernambuco, Brazil) and Stefan Wermter (Universit?t Hamburg, Germany) Categorizing and, to a certain degree, understanding human behavior is an important skill for autonomous systems. A robot able to identify whether a person needs help, an autonomous car to perceive whether a pedestrian is crossing the road, or a camera to localize someone in danger need a robust and reliable human behavior understanding. Although many different solutions have appeared in the past years, most of them do not take longer contextual information into consideration, usually only relying on instantaneous or short-context scenarios which limits the applicability of such systems in a real-world scenario. The potential of having neural models that take into consideration contextual information is substantial and it would be beneficial to develop this technology further for this field. To have a system which is capable of learning, understanding and generalizing human behavior within a longer contextual scene is a challenging task. With recent neural computing technologies, such as training and understanding deep neural networks, life-long learning and unsupervised approaches, to name a few, we believe that autonomous systems which are capable of learning from long-context human behavior are feasible. This kind of processing would provide contextual information which would be beneficial to understanding and acting in real-world scenarios. We invite papers on both practical and theoretical issues about neural learning for behavior recognition. In particular, topics of interest include, but are not limited to: - Gesture processing, recognition and/or generation - Models for emotional behavior analysis and/or understanding - Speech based sentiment analysis and/or dialog processing - Action recognition and/or generation - Crossmodal human behavior learning - Temporal architectures for human behavior learning - Emotional feedback and modulation in decision-making processes - Life-long learning for human behavior processing Submitted papers will be reviewed according to the IJCNN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style. More details: http://www.ecomp.poli.br/~wcci2018/submissions/#papersubmission IMPORTANT DATES: ??? Paper submission: 15th January 2018 ??? Paper acceptance: 15th March 2018 ??? Final paper submission: 1st May 2018 ??? Early registration: 1st May 2018 ??? IEEE WCCI 2018 conference: 8-13 July 2018 Dr. rer. nat. Pablo Barros Knowledge Technology Department of Informatics University of Hamburg barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html https://www.informatik.uni-hamburg.de/wtm/ -- Dr.rer.nat. Pablo Barros Research Associate Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html www.knowledge-technology.info From yael at Princeton.EDU Mon Jan 8 09:20:41 2018 From: yael at Princeton.EDU (Yael Niv) Date: Mon, 8 Jan 2018 14:20:41 +0000 Subject: Connectionists: Seeking Postdoctoral Research Associate for NIDA-Princeton collaboration Message-ID: <4B61D3E8-0EF8-42B5-BADC-691993DCCF45@princeton.edu> A postdoctoral research position is available, to support an ongoing collaboration between the labs of Dr Geoffrey Schoenbaum at the NIDA-IRP (https://irp.drugabuse.gov/schoenbaum.php) and Dr. Yael Niv at the Princeton Neuroscience Institute and Department of Psychology (http://www.princeton.edu/~nivlab). Research in the Schoenbaum lab utilizes rodent models to study learning and decision making, as well as addiction. Research in the Niv lab focuses on computational modeling of learning and decision making at the systems level (reinforcement learning, Bayesian inference), and model-driven behavioral and functional imaging experiments of human learning and decision making. Over the past 10 years, the labs have collaborated in a series of experiments that have leveraged rodent and single unit recording approaches and computational modeling to study the brain circuits mediating associative learning. We seek an exceptionally talented candidate to continue this collaboration. Work will consist of experimental work in rodents, combined with computational modeling to analyze and interpret past results and to suggest new studies. For this, we are looking for someone who is intensely interested in and has proven experience in empirical investigations of associative learning and decision making, expertise in computer programming and modeling, and a desire to explore reinforcement learning and normative models of behavior. Interest in addiction is also valuable, but not essential. Anticipated start date can be as soon as spring of 2018, though there is considerable flexibility. This is a one-year position with the expectation of renewal, pending satisfactory performance. Essential Qualifications: PhD in psychology, neuroscience or equivalent. Proven experience with computer programming. Preferred Qualifications: The ideal candidate will have significant experience with single unit recording (single unit and ensemble analytic techniques especially desired, in rodents or other species). Experience with fMRI is also of interest. Proficiency in programming (Matlab, Python or equivalent) and experience with computational modeling (machine learning, reinforcement learning, Bayesian models) is highly desirable. To apply, please send a cover letter stating background and research interests and citations of at least two representative publications, a CV, and contact information for at least two references to geoffrey.schoenbaum at nih.gov From Z.Yang at mdx.ac.uk Mon Jan 8 09:41:11 2018 From: Z.Yang at mdx.ac.uk (Zhijun Yang) Date: Mon, 8 Jan 2018 14:41:11 +0000 Subject: Connectionists: 2nd CFP: 2018 IJCNN Special Session: Neural Techniques for Artificial and Natural Locomotions Message-ID: Dear Colleagues, Apologies if you receive multiple copies of this CFP. Call for papers: Special Session IJCNN-24 Neural Techniques for Artificial and Natural Locomotions in IJCNN 2018 International Joint Conference on Neural Networks, hosted at IEEE World Congress on Computational Intelligence (IEEE WCCI 2018) 8-13 July 2018, Rio de Janeiro, Brazil - http://www.ecomp.poli.br/~wcci2018/ijcnn-sessions/#ijcnn24 Neural Techniques for Artificial and Natural Locomotions Organized by Zhijun Yang (Z.Yang at mdx.ac.uk), Vaibhav Gandhi, Mehmet Karamanoglu, and Felipe Fran?a There are evidences showing that walking with adaptive gait patterns may be an acquired characteristic possessed by legged animals and humans. A baby animal or infant usually experiences an inept process to learn walking before becoming fully adaptive to a complex terrain. This learning process starts with reflexes reflecting involuntary responses to stimuli. It may involve a complex sequence of activities for sensorimotor integration, synchronization and coordination of cortical neurons and muscles. After the relevant cortical regions are well acquainted with the external world, the animals are considered as trained and represent the most capable walking machine in nature. Many theoretical and experimental approaches have been proposed intending to decipher the mechanisms underlying the natural locomotion while presenting its artificial intelligence (AI) counterpart. For instance, the finite state machine (FSM), in both deterministic and probabilistic variants, are traditionally used to model the gait pattern generation and transition. Recent years have seen the interest in this area of research growing rapidly thanks to the emergence of new computing methodologies using spiking neurons and neuronal populations, with the neuron complexity rangin from the simplest integrate-and- firing type to the classic Hodgkin-Huxley type. A special Izhikevich neuron can display an abundant spectrum of real neuron activities. These methods show great potential in modelling the natural locomotion models in this relatively new research field. On the other hand, the modern technology provides us means of implementing the theoretic models by using high performance computing (HPC) techniques such as dedicated neuromorphic circuits, GPUs, FPGAs as well as deep learning tools. Scope and Topics This special session brings together the new research works from academics and industry related researchers in this prevalent area. The workshop aims to promote the applications of multidisciplinary methods in investigating and exploiting the neural mechanisms of natural locomotion. We invite papers on both theory and applications of the broad area of neural control for natural locomotion. The artificial locomotion systems, built upon the mechanisms underlying the natural locomotion systems, are particularly welcome. The topics of interest include, but are not limited to, the following. * Neuroscience studies of natural locomotion and control * Novel mathematic models for gait pattern generation and transition * Central pattern generation models and applications * Somatosensory system, sensorimotor interaction and impacts on locomotion * Machine learning and deep learning methods applicable for motion control * Neuromorphic hardware implementation, parallel computing platforms using state-of- the-art hardware such as GPU or FPGA for neural control of locomotion * Software frameworks, such as robot operating system (ROS), applicable for robot control * Bayesian inference and hidden Markov models for decision making on robot motion * Novel finite state machine methods, implementation and applications in robotics * State-of- the-art robot projects using leading edge hardware and/or software IMPORTANT DATES: * Paper submission: 15th January 2018 * Paper acceptance: 15th March 2018 * IEEE WCCI 2018 conference: 8-13 July 2018 Regards, Zhijun -- Zhijun Yang, BEng, MSc, PhD, PGCertHE, FHEA Senior Lecturer in Design Engineering Department of Design Engineering and Mathematics Faculty of Science and Technology Middlesex University, London NW4 4BT, UK Voice: +44 (0)7882681333 -------------- next part -------------- An HTML attachment was scrubbed... URL: From james.rankin at gmail.com Mon Jan 8 10:56:49 2018 From: james.rankin at gmail.com (James Rankin) Date: Mon, 8 Jan 2018 15:56:49 +0000 Subject: Connectionists: (deadline 10 Jan) EPSRC funded PhD in Computational/Mathematical Neuroscience (funded for UK students) Message-ID: *3 EPSRC funded PhD positions in Computational & Mathematical Neuroscience* UK students (or students who have spent last 3 years in UK) fully funded (fees and stipend) EU students partially funded (fees but no stipend) International students not eligible *Application deadline: 10th January 2018* Starting: September 2018 The studentships will provide funding for a stipend which is currently ?14,553 per annum for 2017-2018. It will provide research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. * Cortical network models to understand differential input response properties during active and silent states* Supervisors: Dr James Rankin and Dr Mick Craig (Medical School, Exeter) http://www.exeter.ac.uk/studying/funding/award/?id=2903 * Determination of parameter dependencies across diverse populations of neuronal and excitable cells* Supervisors: Dr James Rankin and Dr Joel Tabak (Medical School, Exeter) http://www.exeter.ac.uk/studying/funding/award/?id=2932 *The neural circuitry mediating multisensory integration in Platynereis larvae* Supervisors: Dr James Rankin and Prof G?sp?r J?kely (Living Systems Institute, Exeter) http://www.exeter.ac.uk/studying/funding/award/?id=2901 Apply through links above or contact pgrenquiries at exeter.ac.uk or j.a.rankin at exeter.ac.uk directly with any questions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Mon Jan 8 10:18:22 2018 From: gangluo at cs.wisc.edu (Gang Luo) Date: Mon, 8 Jan 2018 07:18:22 -0800 Subject: Connectionists: Call for Papers: Distributed and Parallel Databases: Data Management and Analytics for Healthcare In-Reply-To: References: Message-ID: Distributed and Parallel Databases Special Issue Call for Papers "Data Management and Analytics for Healthcare" www.Springer.com/10619 GUEST EDITORS: Fusheng Wang (Fusheng.wang at stonybrook.edu) Department of Biomedical Informatics Department of Computer Science Stony Brook University Gang Luo (luogang at uw.edu) Department of Biomedical Informatics and Medical Education University of Washington Distributed and Parallel Databases invites papers for a special issue on Data Management and Analytics for Healthcare. Scope Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well-being. This special issue seeks original and high-quality research articles cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral,environmental, and omic- data, and data from social media and the Web. Topics of interest include, but not limited to: * Big data integration for biomedical data; * Data cleansing for noisy and missing data; * Medical data and knowledge management and decision support; * Data management technologies for medical data; * Semantic Web and ontologies for biomedical applications; * Medical natural language processing and text mining; * Data mining and knowledge discovery from medical data; * Algorithms to speed up the analysis of big medical data; * Innovative visualization for query and analysis of medical data; * Medical image mining; * Medical information retrieval; * Data privacy and security for healthcare data; * Hospital readmission analytics; * Medical fraud detection; * Social media and Web data analytics for public health; * Data analytics for pervasive computing for medical care. PAPER SUBMISSION: * Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals. * All papers will be reviewed following standard reviewing procedures for the Journal. * Papers must be prepared in accordance with the Journal guidelines: www.springer.com/10619 * Submit manuscripts to: http://DAPD.edmgr.com. Choose ?title? as the article type. Distributed and Parallel Databases www.Springer.com/10619 Editor-in-Chief: Mohamed F. Mokbel : Professor, University of Minnesota, USA Amit P. Sheth, Wright State University, USA Divyakant Agrawal, University of California at Santa Barbara, USA IMPORTANT DATES: Submission deadline: March 31, 2018 (articles will be handled as soon as they are received) First author notification: May 31, 2018 Revised articles due: June 30, 2018 Final author notification: September 1, 2018 From tarek.besold at googlemail.com Mon Jan 8 11:15:01 2018 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Mon, 8 Jan 2018 16:15:01 +0000 Subject: Connectionists: Special Interest Group "Explainable AI" and corresponding mailing list launched Message-ID: Dear all, We recently launched a SIG on ?Explainable AI? within the Association for Neural-Symbolic Learning and Reasoning. Have a look here for further information: http://www.neural-symbolic.org/sig-xai The SIG shall serve as a platform for discussion, announcements, etc. relating to all aspects of explainable and/or interpretable and/or comprehensible AI. Also, we set up a corresponding mailing list, reachable via the following subscription/administration link: http://www.jiscmail.ac.uk/XAI Membership in the SIG is free. Membership in the NeSy Association is not required, but encouraged (you can find further information here: www.neural-symbolic.org). Cheers, Tarek. PS: Apologies for cross-posting? --- Tarek R. Besold, PhD WWW: http://www.cat-ai.org Twitter: @jeublanc LinkedIn: http://www.linkedin.com/in/tarekbesold/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Sharon.Crook at asu.edu Mon Jan 8 17:36:26 2018 From: Sharon.Crook at asu.edu (Sharon Crook) Date: Mon, 8 Jan 2018 22:36:26 +0000 Subject: Connectionists: CNS*2018: Registration and Abstract Submission Open In-Reply-To: References: Message-ID: CNS*2018 Call for Abstracts Organization for Computational Neurosciences (OCNS) 27th Annual Meeting Seattle, USA, July 13-18 Local Organizers: Christof Koch, Adrienne Fairhall, Eric Shea-Brown The main meeting begins the evening of Friday July 13 and runs through Monday July 16. It will be preceded by a day of tutorials (Friday July 13) and followed by two days of workshops (Tuesday July 17 and Wednesday July 18). Invited Keynote Speakers: Eve Marder, Brandeis University Nancy Kopell, Boston University Daniel Wolpert, University of Cambridge Rajesh Rao, University of Washington Registration and abstract submission are open. Abstract submission deadline: March 5, 2018. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. Abstract Submission: http://www.cnsorg.org/cns-2018-abstract-submission Registration: https://ocns.memberclicks.net/index.php?option=com_mc&view=mc&mcid=form_243284 Workshop proposals also are being accepted at: http://www.cnsorg.org/cns-2018-call-for-workshops For up-to-date conference information, please visit: http://www.cnsorg.org/cns-2018 ---------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org From Donald.Adjeroh at mail.wvu.edu Tue Jan 9 01:10:15 2018 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 9 Jan 2018 06:10:15 +0000 Subject: Connectionists: Final call for papers (deadline only days away): SBP-BRiMS'2018 -- Social Computing, Behavior/Cultural Modeling, Prediction & Simulation In-Reply-To: References: , <7F764823-1B48-42D3-AE2E-520611D0232D@jhuapl.edu>, , , , , , Message-ID: Apologies if you receive multiple copies ... 2018 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation July 10 (Tuesday) - 13 (Friday), 2018, George Washington University, Washington DC, USA http://sbp-brims.org Please note the extended deadline for paper submission... IMPORTANT DATES: Regular Paper (10-page) Submission: New Deadline: 11-January 2018 Author Notification: New Date: 12-February-2018 Final Version Submission: 26-February-2018 Short/Late Breaking Paper (6-page) Submission: 14-May-2018 Tutorial, Demo, and Challenge Problem Submissions: 14-May-2018 Doctoral consortium submissions due: 14-May-2018 Author Notification: 01-June-2018 Final Version Submission for Short Papers: 18-June 2018 Final Version Submission for Challenge Problem: 25-June 2018 All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Top papers will be invited to publish an extended version in a special issue of Computational and Mathematical Organization Theory. All accepted regular papers will be published in our archival physical proceedings - the Springer LNCS volume. Short papers are intended for late breaking findings, research at a more conceptual stage, and other research not appropriate as a regular paper. Accepted short papers will be published only in our on-line non-archival proceedings. The conference will include the following special sessions: Pre-conference Tutorial Sessions: July 10 (first day of the conference) Graduate Consortium: July 13 Poster Session: At Conference Poster Night Technology Demos: During Conference lunch times and Poster Night Challenge Problem Evaluation: At Conference Poster Night Funding Panel & Cross-Fertilization Roundtable* * Previous SBP conferences have included a Cross-Fertilization and/or Funding Panels. The purpose of these panels is to help participants become better acquainted with people outside of their discipline and provide an opportunity for conference participants to interact with program managers from various federal funding agencies. FORMAT AND SUBMISSION: See our webpage (http://sbp-brims.org) for format details. For any questions and inquiries concerning submissions, please email at sbpbrims at andrew.cmu.edu. CALL FOR PAPERS: SBP-BRIMS is an interdisciplinary conference integrating methods from the computational sciences and the social sciences. Submissions are solicited on research issues, theories, methodologies, and applications. Late-breaking research is encouraged. Historical topics of interest have included the following, however this is by no means exhaustive or exclusive: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and evolution * Collective action, public opinion representation, and governance * Cultural patterns, representation, and psycho-cultural situation awareness * Social conventions, social contexts and influence processes * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking Information, Systems, & Network Science * Data mining and analytics on social media for social and human dynamics * Diffusion and other dynamic processes over networks * Detection and inference over network topologies and changes over time * Analysis of high-dimensional networks, link formations, and link types Military & Intelligence Applications * Evaluation, modeling and simulation of military capacities and political influence * Impact of technological innovation on influence and information spread * Group representation and profiling, including extremist behaviors and policies * Cybersecurity, cyber-policy, and attribution * Methods of collating open source data into information describing events and activities Applications for Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Model federation, validation and integration * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation TRAVEL SCHOLARSHIPS: It is anticipated that a limited number travel scholarships will be available on a competitive basis. Additional information will be provided on the SBP-BRiMS Conference website as it becomes available. -------------- next part -------------- An HTML attachment was scrubbed... URL: From compsens at medizin.uni-tuebingen.de Tue Jan 9 04:22:46 2018 From: compsens at medizin.uni-tuebingen.de (Compsens) Date: Tue, 09 Jan 2018 10:22:46 +0100 Subject: Connectionists: PhD Position Computational Neurosciences, University of Tuebingen, Germany Message-ID: <20180109102246.Horde.fWtmQg9R54ddIaczXCRqhXP@webmail.uni-tuebingen.de> PHD POSITION: COMPUTER ANIMATION AND MACHINE LEARNING TECHNOLOGY FOR THE STUDY OF ACTION AND SOCIAL PERCEPTION (Hertie Institute / Center for Integrative Neuroscience, University of Tuebingen, Germany) The Section for Computational Sensomotorics at the Center for Integrative Neurosciences (CIN) and the Hertie Institute for Clinical Brain Research (HIH) at the University of Tuebingen invites applications for a PhD student for a project that aims at the development of novel technology for the study of action and social perception exploiting VR technology. VR and computer animation combined with state-of-the-art machine learning approaches (including deep learning) offer novel possibilities for the investigation and understanding of the neural basis of the perception of actions and social signals. The project aims at the development of novel learning-based technologies combining state-of-the-art learning technology and computer graphics for the study of social perception exploiting facial and body movements in humans and animals, including clinical applications. The project is funded for duration of 3 years. What we offer: ?being part of an inspiring multidisciplinary and international research team ?possibility to obtain a PhD in Neuroscience at the International Graduate Training Center (GTC) for Neuro-science in Tuebingen or of a PhD in Computer Science at Tuebingen University ?specialized courses, summer schools, seminars by renowned experts at the GTC ?stimulating interdisciplinary scientific environment (HIH among top 3 European institutions for clinical brain research; Bernstein Center for Computational Neuroscience; 3 Max Planck Institutes: Biological Cybernetics, Intelligent Systems, and Developmental Biology). ?active participation at international conferences ?collaborations with leading international partners in neuro- and computer science (including M.I.T, KU Leuven, Imperial College, CALTECH, etc.) What we are looking for a person with: ?a Master degree in Computer Science, Engineering, Physics, mathematics, or Computational Neuroscience or a related discipline ?strong motivation and enthusiasm for research, ?strong mathematical background ?programming skills (at least in C++ , MATLAB or Python), ideally some knowledge in Computer Graphics, Computer Vision or VR ?willingness to learn relevant techniques and software tools for computer animation, computer vision and deep learning ?interest in action and social perception, related technical and neuroscience applications ?English speaking and writing skills. Committed to Equal Opportunities. Interested candidates should send their application, including a CV, all marks from studies, 2 letters of reference, and a short research statement of about one half page (explaining how your skills might support a project on learning of hierarchies in motor control) to: ------------------------------------------------------------------------------ Prof. Dr. Martin Giese Section for Theoretical Sensomotorics, Dept. for Cognitive Neurology Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience University of Tuebingen, Otfried-M?ller Str. 25, D-72076 Tuebingen GERMANY Tel.: +49 7071 2989124 Email: martin.giese at uni-tuebingen.de Web: http://www.compsens.uni-tuebingen.de From compsens at medizin.uni-tuebingen.de Tue Jan 9 04:15:45 2018 From: compsens at medizin.uni-tuebingen.de (Compsens) Date: Tue, 09 Jan 2018 10:15:45 +0100 Subject: Connectionists: POSTDOC / PHD POSITION (University of Tuebingen, Germany) Message-ID: <20180109101545.Horde.0dLdGr5rH7x4MeAbtCDDPyq@webmail.uni-tuebingen.de> POSTDOC / PHD POSITION: LEARNING OF COGNITIVE REPRESENTATIONS FOR HUMAN-ROBOT INTERACTION (University of Tuebingen, Germany) ============================================================ The Section for Computational Sensomotorics at the Center for Integrative Neurosciences and the Hertie Institute for Clinical Brain Research at the University of Tuebingen invites applications for a 2y-Postdoc or 3y-PhD student. We offer employment with salary and social benefits based on the collective agreement for public service employees in the academic and science sector. The position is funded within the EC research project COGIMON that includes multiple other European partners. This highly interdisciplinary project aims at the development of control algorithms and strategies for the interaction between humans and humanoid robots, ultimately leading also to biomedical applications. The available project focuses on the development of machine learning algorithms for the representation and control of interactive full-body movements, in close interaction with experiments with human subjects. This includes work with human motion capture data and marker-less tracking, techniques from computer animation, and related problems in control, exploiting appropriate techniques from machine learning. Our group has long expertise with the modeling and perception of complex human body motion. We are part of the Hertie Institute for Clinical Brain Science (HIH), one of the leading European institutions in Clinical Neuroscience and of the Excellence Center for Integrative Neuroscience (CIN) that hosts a large spectrum of experimental and theoretical groups in neuroscience at the University and the Max Planck Institutes. Ideal candidates should have the following qualifications: * Masters (PhD) degree in Computer Science, Electrical / Mechanical / Biomedical Engineering, Physics, or related fields with good mathematical training * programming experience (Mat lab, C/C++, ...) * Knowledge about control theory or machine learning * English speaking and writing skills. Committed to Equal Opportunities. Please send applications preferentially electronically (including CV, marks and 2 letters of reference) as soon as possible to Prof. Dr. Martin Giese, Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience, Otfried-M?ller. 25, 72076 Tuebingen, Germany; email: martin.giese at uni-tuebingen.de ================================================== Section for Theoretical Sensomotorics Dept. for Cognitive Neurology Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience University of Tuebingen Otfried-M?ller Str. 25 D-72076 Tuebingen GERMANY Tel.: +49 7071 2989124 Fax: +49 7071 294790 Email: martin.giese at uni-tuebingen.de Web: http://www.compsens.uni-tuebingen.de/ ============================================== From barros at informatik.uni-hamburg.de Tue Jan 9 04:49:18 2018 From: barros at informatik.uni-hamburg.de (Pablo Barros) Date: Tue, 9 Jan 2018 10:49:18 +0100 Subject: Connectionists: CFP: Special Issue on Crossmodal Learning Message-ID: <9ef8a163-ab8f-17e9-cf87-98d4c5a2a3f3@informatik.uni-hamburg.de> 2nd CALL FOR PAPERS Special Issue on Computational Models for Crossmodal Learning of the Cognitive Systems Research Journal. https://www.journals.elsevier.com/cognitive-systems-research/call-for-papers/special-issue-on-crossmodal-learning ?I. Aim and Scope The ability of processing crossmodal information is a fundamental feature of the brain that provides a robust perceptual experience for an efficient interaction with the environment. Consequently, the integration of multisensory information plays a crucial role in autonomous systems to create robust and meaningful representations of objects and events. For dealing with real-world information, an autonomous, intelligent system must be capable of processing, integrating, and segregating different modalities for the purpose of coherent perception, decision-making, and cognitive learning. Recent neurophysiological findings in crossmodal learning have inspired novel computational models with the aim to trigger biologically inspired behavioral responses. A rich set of neural mechanisms support the integration and segregation of multimodal stimuli, providing the means to efficiently solve conflicts across modalities. This special issue aims to invite contributors from psychology, computational neuroscience, artificial intelligence, and cognitive robotics to discuss current research on crossmodal learning mechanisms both from the theoretical and modelling perspective. II. Potential Topics Topics include, but are not limited to: - New theories and findings on crossmodal processing - New neuroscientific results on crossmodal learning - Machine learning and neural networks for learning multisensory representations - Computational models of crossmodal attention and perception - Brain-inspired approaches for multisensory integration - Multisensory robot perception III. Submission Authors must use the Evise system to submit their contibutions, more informations can be found here: https://www.journals.elsevier.com/cognitive-systems-research/ *All manuscripts must be submitted to the Special Issue "VSI: Crossmodal Learning"* - Paper submission deadline: 09.02.2018 IV. Guest Editors Pablo Barros, University of Hamburg, Germany German I. Parisi, University of Hamburg, Germany Doreen Jirak, Hamburg University, Germany Bruno Fernandes, Universidade de Pernambuco, Brazil -- Dr.rer.nat. Pablo Barros Research Associate Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html www.knowledge-technology.info From niceboston at hotmail.com Tue Jan 9 07:31:20 2018 From: niceboston at hotmail.com (Jason Sherwin) Date: Tue, 9 Jan 2018 12:31:20 +0000 Subject: Connectionists: Job Posting: Postdoctoral Research Associate in Baseball, Biomedical Signal Processing and Machine Learning Message-ID: Postdoctoral Research Associate in Baseball, Biomedical Signal Processing and Machine Learning Thor Industries, Inc. and US Army Research Laboratory Thor Industries is pleased to announce this postdoctoral position in its Cooperative Agreement with the US Army Research Laboratory (ARL). The project started approximately 4 months ago and will run approximately for another 8 months or longer (pending extension). Thor Industries is led by its Principal, Dr. Jason Sherwin. Thor Industries is partnered with the University of Tennessee Math Department on this Cooperative Agreement with the ARL. Thor Industries is tasked with examining neural and behavioral data collected from real-world baseball hitting experts and analyzing these data for relationships to real-world data (i.e., on-field statistics collected in-game). A familiarity with rapid decision-making, go/no-go paradigms and baseball metrics is a requirement. The successful applicant is expected to relocate to Aberdeen Proving Ground, MD, USA, or nearby to work at the Aberdeen Proving Ground with ARL personnel. A housing allowance will be given in addition to stated salary. A travel budget is also available to the successful applicant. Only U.S. Citizens will be considered due to security restrictions at the worksite. The successful applicant will investigate and develop advanced signal processing and machine learning algorithms for prediction purposes. The ideal candidate will have received a PhD in Biomedical Engineering, Electronic Engineering, Computer Science or a closely related discipline, and is expected to have significant experience of biomedical signal processing and machine learning techniques. Applicants are also encouraged to have a strong publication record as first author, ideally including publications in 1st quartile journals in relevant areas. Appointment will be made as Senior Research Scientist in Thor Industries. Salary: Approximately $35,000 per annum Duration: Fixed-Term until August 2019 For further information and inquiries, please contact Dr. Jason Sherwin niceboston at gmail.com ------------------------------------------------------------------ sponsored link: yahoo recommended - http://msn.medsplacerx.com ------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dominic.ward at surrey.ac.uk Tue Jan 9 10:04:05 2018 From: dominic.ward at surrey.ac.uk (dominic.ward at surrey.ac.uk) Date: Tue, 9 Jan 2018 15:04:05 +0000 Subject: Connectionists: LVA/ICA 2018: Extended submission deadline: 4 Feb 2018 (full paper upload 7 Feb) Message-ID: Dear List, Following a number of requests, the submission deadline for LVA/ICA 2018 has been extended to 4 February, with a few additional days to upload full papers (by 7 February). ==================================== == LVA/ICA 2018 - CALL FOR PAPERS == 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018 University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 Submission deadline: February 4, 2018 **extended*** (Full paper upload deadline: February 7, 2018) ==================================== The International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, is an interdisciplinary forum where researchers and practitioners can experience a broad range of exciting theories and applications involving signal processing, applied statistics, machine learning, linear and multilinear algebra, numerical analysis and optimization, and other areas targeting Latent Variable Analysis problems. We are pleased to invite you to submit research papers to the 14th LVA/ICA which will be held at the University of Surrey, Guildford, UK, from the 2nd to the 6th of July, 2018. The conference is organized by the Centre for Vision, Speech and Signal Processing (CVSSP); and the Institute of Sound Recording (IoSR). Authors should register papers by submitting the title and abstract by ** Sunday, 4 February 2018 ** (extended deadline) The complete version of the paper must be uploaded by ** Wednesday, 7 February 2018 ** The proceedings will be published in Springer-Verlag's Lecture Notes in Computer Science (LNCS). == Keynote Speakers == - Orly Alter Scientific Computing & Imaging Institute and Huntsman Cancer Institute, University of Utah, USA - Andrzej Cichocki Brain Science Institute, RIKEN, Japan - Tuomas Virtanen Laboratory of Signal Processing Tampere University of Technology, Finland == Topics == Prospective authors are invited to submit original papers (8-10 pages in LNCS format) in areas related to latent variable analysis, independent component analysis and signal separation, including but not limited to: - Theory: * sparse coding, dictionary learning * statistical and probabilistic modeling * detection, estimation and performance criteria and bounds * causality measures * learning theory * convex/nonconvex optimization tools * sketching and censoring for large scale data - Models: * general linear or nonlinear models of signals and data * discrete, continuous, flat, or hierarchical models * multilinear models * time-varying, instantaneous, convolutive, noiseless, noisy, over-complete, or under-complete mixtures * Low-rank models, graph models, online models - Algorithms: * estimation, separation, identification, detection, blind and semi-blind methods, non-negative matrix factorization, tensor decomposition, adaptive and recursive estimation * feature selection * time-frequency and wavelet based analysis * complexity analysis * Non-conventional signals (e.g. graph signals, quantum sources) - Applications: * speech and audio separation, recognition, dereverberation and denoising * auditory scene analysis * image segmentation, separation, fusion, classification, texture analysis * biomedical signal analysis, imaging, genomic data analysis, brain-computer interface - Emerging related topics: * sparse learning * deep learning * social networks * data mining * artificial intelligence * objective and subjective performance evaluation == Venue == LVA/ICA 2018 will be held at the University of Surrey, Guildford, in the South East of England, UK. The university is a ten minute walk away from the town centre, which offers a vibrant blend of entertainment, culture and history. Guildford is 40 minutes from London by train, and convenient for both London Heathrow and London Gatwick airports. == Conference Chairs == - General Chairs Mark Plumbley - University of Surrey, UK Russell Mason - University of Surrey, UK - Program Chairs Sharon Gannot - Bar-Ilan University, Israel Yannick Deville - Universit? Paul Sabatier Toulouse 3, France == Important Dates == - Submission deadline: February 4, 2018 **Extended** - Full paper upload deadline: February 7, 2018 - Notification of acceptance: March 19, 2018 - Camera ready submission: April 16, 2018 - Summer School: July 2, 2018 - Conference: July 3-6, 2018 == Website == For further information and information on how to submit, please visit: http://cvssp.org/events/lva-ica-2018 We look forward to your participation, The LVA/ICA 2018 Organizing Committee Email: lva.ica.2018 at gmail.com =============================== From thomas.j.palmeri at vanderbilt.edu Tue Jan 9 13:42:04 2018 From: thomas.j.palmeri at vanderbilt.edu (Palmeri, Thomas J) Date: Tue, 9 Jan 2018 18:42:04 +0000 Subject: Connectionists: Postdoctoral Fellowships in Model-based Cognitive Neuroscience at Vanderbilt Message-ID: <1DDFC856-A183-435D-B935-F2DBC0AB8D4A@vanderbilt.edu> Postdoctoral Fellowships in Model-based Cognitive Neuroscience at Vanderbilt Department of Psychology Vanderbilt Vision Research Center We eagerly seek postdoctoral fellows to join research projects in model-based cognitive neuroscience, developing and testing computational models of visual cognition that connect behavior and brain data. Fellows will join an ongoing collaboration of Thomas Palmeri, Jeffrey Schall, and Gordon Logan at Vanderbilt using cognitive and neural models to understand perceptual decision making, cognitive control, and visual attention. Successful models predict details of observed behavior and are constrained by or predict neurophysiological, electrophysiological, and brain imaging data in human and non-human primates. Fellows also have opportunities to join a collaboration of Thomas Palmeri, Isabel Gauthier, and their colleagues using combinations of cognitive, psychometric, and deep learning models to understand object recognition, categorization, visual learning, and perceptual expertise and to explain individual differences in behavior and brain data. Research facilities include high-end laboratory workstations, behavioral testing stations, a web-based server infrastructure for online experiments, eye trackers, a shared 7000+ core CPU cluster and large-scale GPU cluster at Vanderbilt?s ACCRE, and state-of-the art facilities for neurophysiology, electrophysiology, and brain imaging. Postdoctoral fellows will also take advantage of the facilities and support provided by the Department of Psychology (www.vanderbilt.edu/psychological_sciences/) and the Vanderbilt Vision Research Center (vvrc.vanderbilt.edu). And as Dave Grohl of the Foo Fighters said, ?Everybody now thinks that Nashville is ... the coolest city in America?. Candidates can hold a Ph.D. in psychology, neuroscience, computer science, mathematics, engineering, or related disciplines. Candidates should have demonstrated skills in computer programming and statistical analyses. Some background and/or strong interest in computational modeling is desired. For those with significant modeling expertise, a knowledge of basic neuroscience is desired but not required. Start date is negotiable, but preference will be given to candidates who can begin soon. Applications will be reviewed on a rolling basis as they arrive. Salary will be based on the NIH postdoctoral scale. Please forward to potential applicants. Applicants should send a cover letter with a brief research statement, a CV, and names and email addresses of three references to: Thomas Palmeri Department of Psychology Vanderbilt Vision Research Center Vanderbilt University Nashville, TN 37240 thomas.j.palmeri at vanderbilt.edu catlab.psy.vanderbilt.edu *apologies for cross-posting* --------------------------- Thomas Palmeri Professor of Psychology co-Director of Scientific Computing Department of Psychology 507 Wilson Hall Vanderbilt University 111 21st Avenue South Nashville, Tennessee 37240 thomas.j.palmeri at vanderbilt.edu http://catlab.psy.vanderbilt.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From smartstart at fz-juelich.de Wed Jan 10 03:53:01 2018 From: smartstart at fz-juelich.de (Smart Start Coordination Office) Date: Wed, 10 Jan 2018 09:53:01 +0100 Subject: Connectionists: Application NOW open Message-ID: <62227fa2-aeea-c49a-390c-e72195802ab2@fz-juelich.de> SMARTSTART into Computational Neuroscience NOW: We invite first and second-year Master students with a background in related fields to apply to our joint training program SMARTSTART. The program aims at complementing previous studies with concepts, theories and techniques of Computational Neuroscience. SMARTSTART consists of two programs. Both of them last one year each and take place at numerous locations of the Bernstein Network and further locations throughout Germany. SMARTSTART 1 provides financial support to then second-year Master students, allowing them to attend supplementary courses and training visits at participating institutions. Students will receive an experienced faculty mentor who will advise and guide them at this educational stage. SMARTSTART 2 provides fully funded positions for pre-PhD students. At the start of the program, these students will have already obtained their Master?s degree and are in the process of selecting a PhD project. SMARTSTART 2 allows them to elaborate their own PhD proposal as a collaborative project between two labs. This comprises exchange visits as well as voluntary attendance of lectures and courses offered by participating institutions. Both SMARTSTART programs will commence the next round in the winter term 2018/19. The online application window will be open until Wednesday, February 28, 2018. For more information please visit our website: www.smartstart-compneuro.de Best regards, Kathrin Hebert -- Coordination Office Smart Start - Joint Training Program in Computational Neuroscience Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9593 mail: smartstart at fz-juelich.de web: www.nncn.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From veronica.bolon at udc.es Wed Jan 10 04:56:58 2018 From: veronica.bolon at udc.es (=?utf-8?Q?Ver=C3=B3nica_Bol=C3=B3n?=) Date: Wed, 10 Jan 2018 10:56:58 +0100 Subject: Connectionists: 3rd CFP for IJCNN18 Special Session on Parallelism on Machine Learning: Theory and Applications -- EXTENDED DEADLINE Message-ID: [Apologies if you receive multiple copies of this CFP] 3rd Call for papers: special session on ?Parallelism in Machine Learning: Theory and Applications? at IJCNN 2018 ? EXTENDED DEADLINE International Joint Conference on Neural Networks, hosted at IEEE World Congress on Computational Intelligence (IEEE WCCI 2018) 8-13 July 2018, Rio de Janeiro, Brazil - http://www.ecomp.poli.br/~wcci2018/ Parallelism in Machine Learning: Theory and Applications Organized by: Veronica Bolon-Canedo, Jorge Gonzalez-Dominguez, Amparo Alonso-Betanzos (University of A Coru?a, Spain), Beatriz Remeseiro (University of Oviedo, Spain) Machine learning (ML) is a prolific research area focused on the study and definition of algorithms able to learn from and make predictions on data. The current technologies and the use of Internet have revolutionized the way in which people acquire, store, or share data, resulting in huge amounts of information. In order to deal with massive volumes of data, ML techniques have to learn complex models with millions of parameters, increasing the computational cost involved. Parallel programming and distributed learning are gaining attention in the last years as a mean to alleviate the effects of this extremely increase of computational cost. The efficient exploitation of High Performance Computing (HPC) resources such as multicore CPUs, hardware accelerators (GPUs, Intel Xeon Phi coprocessors, FPGAs, etc.), clusters or cloud-based systems can significantly accelerate many ML algorithms. This increase of speed allows ML users to either reduce the time needed for their applications or to search a larger space in the same period of time. We invite papers on both practical and theoretical issues about incorporating parallel and distributed approaches into machine learning problems. In particular, topics of interest include, but are not limited to: Development of parallel machine learning algorithms on multicore and manycore architectures: multithreading, GPUs, Intel Xeon Phi coprocessor, FPGAs, etc. Development of distributed machine learning algorithms. Exploitation of cloud, grid and distributed-memory systems to accelerate machine learning algorithms: Spark, Hadoop, MPI, etc. Scalability analysis of parallel and distributed methods for machine learning. Performance comparison of parallel and distributed machine learning algorithms. Deep learning models trained across multicore CPUs, GPUs or clusters of computers. Applications: bioinformatics, medicine, multimedia, marketing, cyber security, etc. Submitted papers will be reviewed according to the IJCNN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style. IMPORTANT DATES: Paper submission: 1st February 2018 Paper acceptance: 15th March 2018 Final paper submission: 1st May 2018 Early registration: 1st May 2018 IEEE WCCI 2018 conference: 8-13 July 2018 Ver?nica Bol?n Canedo, PhD Grupo LIDIA Departamento de Computaci?n Facultad de Inform?tica Universidade da Coru?a Campus de Elvi?a, s/n 15071 - A Coru?a, Spain Phone: +34 981 167150 Ext. 6007 Fax: +34 981 167160 e-mail: veronica.bolon at udc.es http://www.lidiagroup.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From sandayci at rub.de Wed Jan 10 04:44:34 2018 From: sandayci at rub.de (Yulia Sandamirskaya) Date: Wed, 10 Jan 2018 10:44:34 +0100 Subject: Connectionists: Misha Mahowald Prize 2018 Message-ID: 2nd CALL FOR SUBMISSIONS: The Third Misha Mahowald Prize for Neuromorphic Engineering The Misha Mahowald Prize recognizes outstanding research in neuromorphic engineering in a broad sense: neurally-inspired hardware, but also neuromorphic software, algorithms, and architectures can compete for the award. The award is named for Misha Mahowald, a creative and influential pioneer, who passed away before she could see the field flourishing. She created some of the first neuromorphic circuits including the silicon retina and the silicon neuron. The Prize is awarded by a jury of international experts and carries a cash prize of USD 3000. The submission deadline is February 1, 2018. Previous winners of the prize include IBM Research (Principal Investigator: Dharmendra Modha) for the TrueNorth neuromorphic processor, and the Robotics and Perception Group at the University of Zurich (Principal Investigator: Davide Scaramuzza) for their work on event-based vision for autonomous robots. The competition is open to any individual or research group worldwide. A description of any type of neurally-inspired hardware, software, or algorithm may be submitted. The award is for an original, ground-breaking contribution to neuromorphic engineering. The work of individuals and groups will be considered equally. Only one winner is announced each year. There are no runners-up. Revised resubmissions are encouraged. To apply: Submit an extended abstract in English of up to two DIN A4 pages, containing: ? Applicant(s) and affiliation(s) ? Contact person information ? Project title ? Brief description of the work, its novelty, and its potential impact, including images/tables/original paper links ? Link to a video, if applicable (authors must arrange for unrestricted online viewing of video) Send the document as a PDF file (max. size 2 MB) to: prize at mahowaldprize.org If a video is included in the submission, a download link to the original source file should be included. The Prize is sponsored by iniLabs, a technology company based in Switzerland that invents, produces, and sells neuromorphic technologies for research. iniLabs plays no role in selecting the nominee. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tt at cs.dal.ca Wed Jan 10 06:54:38 2018 From: tt at cs.dal.ca (Thomas Trappenberg) Date: Wed, 10 Jan 2018 07:54:38 -0400 Subject: Connectionists: 3 Year Postdoctoral Fellowship in Halifax, Nova Scotia, Canada Message-ID: Dear Colleagues, Through the generous support of Dr. Donald Hill we are able to offer a postdoctoral position for up to three years at Dalhousie University in Halifax, Nova Scotia, Canada to work with me and Dr. Alan Fine from the medical faculty at the intersection between deep learning, computational neuroscience and medicine. We are particularly interested in collaborating on probabilistic synapses and medical applications. Dalhousie has a strong medical faculty with unique access to data such as databases with genetically unique populations, a large international collaborations on psychiatric assessments including structural MRI data, and images from a unique lensless microscope to name just a few. The application deadline is February 1, and the position can be taken up between March and September of this year. Please see https://www.dal.ca/faculty/gradstudies/postdoctoral/ prospective/hill.html for more detail and the application process. Dr. Thomas Trappenberg Professor Faculty of Computer Science Dalhousie University Halifax, NS, Canada -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Wed Jan 10 08:35:45 2018 From: tarek.besold at googlemail.com (tarek.besold at googlemail.com) Date: Wed, 10 Jan 2018 13:35:45 -0000 Subject: Connectionists: Call for Participation: Cognitive Computation Symposium - Thinking Beyond Deep Learning // February 27, 2018 // City, University of London (UK) Message-ID: <007a01d38a17$eb8b1d40$c2a157c0$@gmail.com> === COGNITIVE COMPUTATION SYMPOSIUM: THINKING BEYOND DEEP LEARNING (CoCoSym) === Location: City, University of London Date: February 27, 2018 Website: http://www.neural-symbolic.org/CoCoSym2018/index.html Registration: http://estore.city.ac.uk/product-catalogue/conference-events/school-specific -events/cognitive-computation-symposium-thinking-beyond-deep-learning ### THE BIG QUESTIONS ### - Is Deep Learning the ultimate solution to the problem(s) of Artificial Intelligence? - If it isn't, how could and/or should AI and ML continue once the hype breaks? - What is going to be "the next big thing" after Deep Learning? ### THE PEOPLE ### Host/Chair: Tarek R. Besold (City, University of London) Co-Convenors: Artur d'Avila Garcez (City, University of London), Michael Spranger (Sony CSL), Michael Witbrock (IBM Research AI). Confirmed speakers include: - Eduardo Alonso (City, University of London) - Antoine Bordes (Facebook AI Research) - Edward Grefenstette (DeepMind) - Barbara Hammer (Bielefeld University) - Kristian Kersting (TU Darmstadt) - Alessio Lomuscio (Imperial College London) - Stephen Muggleton (Imperial College London) - Alessandra Russo (Imperial College London) - Luciano Serafini (Fondazione Bruno Kessler) - Francesca Toni (Imperial College London) - Volker Tresp (LMU Munich & Siemens) - Frank van Harmelen (VU Amsterdam) - Geraint Wiggins (Queen Mary, University of London) - Michael Wooldridge (University of Oxford) - Willem Zuidema (University of Amsterdam) --- Tarek R. Besold, PhD WWW: http://www.cat-ai.org Twitter: @jeublanc LinkedIn: http://www.linkedin.com/in/tarekbesold/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From renan.moioli at gmail.com Wed Jan 10 10:01:19 2018 From: renan.moioli at gmail.com (Renan Moioli) Date: Wed, 10 Jan 2018 12:01:19 -0300 Subject: Connectionists: 2nd CFP IEEE CEC 2018 -- Special Session on Evolutionary Robotics Message-ID: (apologies if you received multiple copies) ------------------------------------------------------------------------ IEEE CEC 2018 -- Special Session on Evolutionary Robotics ------------------------------------------------------------------------ Rio de Janeiro, Brazil. 8-13 July, 2018 2nd CALL FOR PAPERS General Chairs: -------------------- Renan C. Moioli (ELS-IIN - Brazil) Patricia A. Vargas (Heriot-Watt University - United Kingdom) Micael Couceiro (Ingenarius, Ltd - Portugal) Josh Bongard (University of Vermont - USA) Phil Husbands (University of Sussex - United Kingdom) Website: http://sites.google.com/a/isd.org.br/cec18er/ Evolutionary Robotics (ER) aims to apply evolutionary computation techniques to automatically design the control and/or hardware of both real and simulated autonomous robots. Its origins date back to the beginning of the nineties and since then it has been attracting the interest of many research centres all over the world. ER techniques are mostly inspired by existing biological architectures and Darwin?s principle of selective reproduction of the fittest. Evolution has revealed that living creatures are able to accomplish complex tasks required for their survival, thus embodying cooperative, competitive and adaptive behaviours. Having an intrinsic interdisciplinary character, ER has been employed towards the development of many fields of research, among which we can highlight neuroscience, cognitive science, evolutionary biology and robotics. Hence, the objective of this special session is to assemble a set of high-quality original contributions that reflect and advance the state-of-the-art in the area of Evolutionary Robotics, with an emphasis on the cross-fertilization between ER and the aforementioned research areas, ranging from theoretical analysis to real-life applications. Papers Publication: ------------------------- Papers accepted to this special session track will be published in the IEEE CEC proceedings. Paper Submission: ------------------------ Submissions should follow the guidance given on the IEEE CEC 2018 conference website: http://www.ecomp.poli.br/~wcci2018/submissions/# papersubmission When submitting, please select in the submission system the respective special session title under the list of Main research topic: Evolutionary Robotics. All submissions will be peer-reviewed with the same criteria used for other contributed papers. All accepted papers will be included and published in the conference proceedings. Topics of interest include (but are not restricted to): ------------------------------------------------------------------- . Evolution of robots that display minimal cognitive behaviour, learning, memory, spatial cognition, adaptation or homeostasis. . Evolution of neural controllers for robots, aimed at giving an insight to neuroscientists, evolutionary biologists or advancing control structures. . Evolution of communication, cooperation and competition, using robots as a research platform. . Co-evolution and the evolution of collective behaviour. . Evolution of morphology in close interaction with the environment, giving rise to self-reconfigurable, self-designing, self-healing, self-reproducing, humanoid and walking robots. . Evolution of robot systems aimed at real-world applications as in aerial robotics, space exploration, industry, search and rescue, robot companions, entertainment and games. . Evolution of controllers on board real robots or the real-time evolution of robot hardware. . Novel or improved algorithms for the evolution of robotic systems, including deep artificial neural networks . The use of evolution for the artistic exploration of robot design. . Bio-mimetic and hybrid approaches to evolutionary robotics Important Dates: ---------------------- Paper Submission: January 15, 2018 Notification of Acceptance: March 15, 2018 Camera-Ready Submission: May 1, 2018 -------------- next part -------------- An HTML attachment was scrubbed... URL: From erishabh at gmail.com Wed Jan 10 19:29:34 2018 From: erishabh at gmail.com (Rishabh Mehrotra) Date: Wed, 10 Jan 2018 19:29:34 -0500 Subject: Connectionists: Research Internships at Spotify Research, London Message-ID: *TL;DR:* Research internships at Spotify Research in London. Deadline: 3rd Feb. Contact: rishabhm at spotify.com or mounial at spotify.com for details. We are looking for Research Scientist Interns for Spotify?s User Engagement research lab based in London to work on a number of interesting problems in machine learning, deep learning, recommendations, user modeling/engagement, and large scale experimentation. We are part of a high impact team that is building the next generation technologies aimed at making every user interaction with Spotify amazing through personalization and discovery. We?re looking for talented research interns who have applied experience in the field of Machine Learning, Machine Intelligence, User Behavioral Analysis, IR, NLP, and more broadly, AI. The User Engagement team works on some of Spotify?s key features ? personalized playlists such as Discover Weekly and Daily Mix, the Home view, and Search. Our projects are intended to take on some of technology?s greatest challenges and make impact on millions of users. Some of the challenges our team is working on include developing terascale solutions for understanding and interpreting user interaction signals, understanding user success with short term & long term metrics, developing algorithmically curated playlists and other challenges in machine learning and user understanding. *Who you are* - You are currently enrolled in a PhD programme in Computer Science, Data Science, or related areas with a strong computational focus. - You will have a strong knowledge of data mining, machine learning or evaluation with experience in machine learning, deep learning, optimization techniques, information retrieval and/or natural language understanding. - You have publications in communities such as WWW, SIGIR, WSDM, RecSys, CHI, KDD, AAAI, ACL, NIPS, ICML, UbiComp, or related, in the following topics: - user understanding: music cognition, metrics and evaluation, large scale experimentation - matching: information retrieval, recommendation, machine learning - You possess solid hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing and modeling of real data. *Application Deadline:* 3rd Feb 2018 *Applications: * https://www.spotifyjobs.com/job/research-scientist-intern-phd-ocwu6fws/ https://www.linkedin.com/jobs/view/493376017/ *Contact:* Feel free to get in touch with Mounia Lalmas (mounial at spotify.com) or Rishabh Mehrotra (rishabhm at spotify.com) for details/questions. -- Rishabh. Web: www.rishabhmehrotra.com Twitter: https://twitter.com/erishabh -------------- next part -------------- An HTML attachment was scrubbed... URL: From pfeiffer at ini.phys.ethz.ch Wed Jan 10 18:59:07 2018 From: pfeiffer at ini.phys.ethz.ch (Michael Pfeiffer) Date: Thu, 11 Jan 2018 00:59:07 +0100 Subject: Connectionists: PhD in Event-based Vision at Bosch Center for Artificial Intelligence Message-ID: <5a7b9cdf-44ea-e3d3-0a31-5e34e3630079@ini.phys.ethz.ch> At the Bosch Center for Artificial Intelligence (BCAI, see www.bosch-ai.com) in Renningen near Stuttgart, Germany we have an open position for a PhD in Event-based Vision for Automated Driving. The PhD will work in the context of the European project ULPEC (www.ulpecproject.eu), together with academic and industrial partners from around Europe. At BCAI, the PhD will be part of a research team with focus on Deep Learning perception in the context of automated driving. Details and instructions how to apply can be found here: https://www.bosch-career.de/en/bewerben/jobsearch/-/cui/job/ZRB_UNREG_SEARCH/en/567D863A01021EE7B5D1E25CF6CC90F5 Description: * Development and implementation of novel object detection and tracking algorithms to process event-based vision data * Research on spiking neural network architectures and training algorithms * Original research, collaboration in the European project ULPEC with Machine Learning and hardware experts * Publications in top-tier journals and supervision of Master students Requirements: * Master of Science in computer science, mathematics, computational neuroscience or related fields * Profound knowledge of Machine Learning, preferably Deep Learning, and basic knowledge of computer vision * Knowledge of spiking neural networks and neuromorphic engineering is preferred but not required * Proven programming skills, in particular Python and/or C++ * Strong team player and ability to work in interdisciplinary teams * Strong English skills Duration: 3 years Contact: Michael (dot) Pfeiffer3(AT) de.bosch.com, Tel.: +49(711)811-18195 Please also forward this opportunity to potentially interested candidates. Best regards, Michael Pfeiffer -------------- next part -------------- An HTML attachment was scrubbed... URL: From dengdehao at gmail.com Thu Jan 11 05:17:46 2018 From: dengdehao at gmail.com (Teng Teck Hou) Date: Thu, 11 Jan 2018 18:17:46 +0800 Subject: Connectionists: [INNS-BDDL 2018] Extension of paper submission deadline to Wednesday, 31st January 2018 Message-ID: <5a5739ca.03b0240a.4e3be.33d8@mx.google.com> [Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data and Deep Learning 2018 April 17-19, 2018, Bali, Indonesia Homepage: http://www.innsbigdata2018.org #######################Description:###################### The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field. Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3rd INNS Conference on Big Data and Deep Learning (INNS BDDL) will be held Tuesday through Thursday, April 17 ? 19, 2018 at the Grand Inna Bali Beach hotel, Sanur, Bali, Indonesia. The INNS BDDL conference aims to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning." Accepted and presented papers will be published in Procedia Computer Science indexed by Scopus. Several papers will be selected for possible publication in a high-quality journal. A preliminary list of such journals includes: - Cognitive Systems Research (Scopus SJR 0.648, Impact Factor 1.182) - Cognitive Computation (Scopus SJR 0.823, Impact Factor 3.441) - Big Data Analytics - Evolving Systems (Scopus SJR 0.459, Impact Factor 1.067) - International Journal of Neural Systems (Scopus SJR 1.121, Impact Factor 6.333) - and possibly others Several papers will be selected for possible publication in top journals. The conference will feature a comprehensive technical program with technical tracks on: Track 1: Big Data Track 2: Big Data Algorithms Track 3: Deep Learning Track 4: Application Areas ####################Important Dates################################# * Tutorial and workshop proposals (Submission) ?30 September 2017 * Tutorial and workshop proposals (Decision) ? 7 October 2017 * Paper submission ???? 31 January 2018 * Decision notification???? 15 February 2018 * Camera-ready submission??? 28 February 2018 * Conference????? 17 - 19 April 2018 ################################################################### #########################Keynote Speakers########################## * Prof. Geoffrey I. Webb, Monash University, Australia * Prof. Kay Chen Tan, City University, Hong Kong * Dr. Ir. Ari Santoso, Ministry of Education and Culture ################################################################### #################### Organizing committees ############### General chairs Seiichi Ozawa, Kobe University, Japan Ah-Hwee Tan, Nanyang Technological University, Singapore Program Chairs Plamen P. Angelov, Lancaster University, UK Asim Roy, Arizona State University, USA Mahardhika Pratama, Nanyang Technological University, Singapore Honorary Board Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Local Committee Chairs Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia Advisory Board Yew-Soon Ong, Nanyang Technological University, Singapore Robert Kozma, University of Memphis, USA Sankar K. Pal, Indian Statistical Institute, India Haibo He, University of Rhode Island, USA Witold Pedrycz, University of Alberta, Alberta, Canada Leszek Rutkowski, Czestochowa University of Technology, Poland Nikola Kasabov, Auckland University of Technology, New Zealand Fernando Gomide, University of Campinas, Brazil Marley Vellasco, Pontif?cia Universidade Cat?lica do Rio de Janeiro, Brazil Yoonsuck Choe, Texas A&M University Minho Lee, Kyungpook National University, South Korea Bao-Liang Lu, Shanghai Jiao Tong University, China Irwin King, the Chinese University of Hong Kong, Hong Kong Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Noor Akhmad Setiawan, Universitas Gadjah Mada, Indonesia Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Ali Ridho Barakbah, Politeknik Elektronika Negeri Surabaya, Indonesia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore Alfian Futhul Hadi, Universitas Jember, Indonesia Panel Chairs Sreenatha Anavatti, University of New South Wales, Australia Mukesh Prasad, University of Technology, Sydney, Australia Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia Awards Chairs Tapabrata Ray, University of New South Wales, Australia Dejan Dovzan, University of Ljubljana, Slovenia Richard J. Oentaryo, McLaren Applied Technologies, Singapore Publication Chairs Edwin Lughofer, Johannes Kepler University, Austria Jose Antonio Iglesias, Carlos III University of Madrid, Spain Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France Publicity Chair Simone Scardapane, Sapienza University, Italy Teng Teck Hou, Singapore Management University, Singapore Kurnianingsih, Politeknik Negeri Semarang, Indonesia International Liaison Chairs Yun Sing Koh, University of Auckland, New Zealand Deepak Puthal, University of Technology Sydney, Australia Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia Webmaster Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia Choiru Za?in, La Trobe University, Australia ########################################################## ###### Topics and Areas include, but not limited to the following###### >>BIG DATA Autonomous, online, incremental learning in big data High dimensional data, feature selection, feature transformation for big data Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online learning Online multimedia/stream/text analytics Link and graph mining Big data and cloud computing, large scale stream processing on the cloud Big data and collective intelligence/collaborative learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization? >>Big Data Algorithm Neuromorphic hardware for scalable machine learning Evolving systems for big data analytics Evolutionary systems and big data Fuzzy systems and big data Cognitive modelling and big data Probabilistic approach for big data Concept drift detection for big data Granular computing for big data Transfer learning for big data >>Deep Learning Deep belief network Convolutional neural network Long short term memory Deep network architecture Deep autoencoder Deep stacked network Deep learning for natural language processing Deep learning for machine vision Evolving deep network Transfer learning in deep learning Online deep learning >>Application Areas Banking and Securities Communications, Media and Entertainment Healthcare Providers Education Manufacturing & Natural Resources Government Insurances Retail & Wholesale Trade Transportation Energy & Utilities, Etc. ############################################################################ ##########################Sponsoring Organizations################# * INNS - International Neural Network Society * MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember ################################################################ Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From Phil.Garner at idiap.ch Thu Jan 11 08:40:19 2018 From: Phil.Garner at idiap.ch (Phil Garner) Date: Thu, 11 Jan 2018 14:40:19 +0100 Subject: Connectionists: Post-doc position: Multimodal people monitoring using sound (and vision) Message-ID: <9e10e34f-288a-f972-7f76-b860b6e97348@idiap.ch> Dear Colleagues, We have a new opening for a post-doctoral researcher at Idiap Research Institute. It is a joint position with the Swiss Center for Electronics and Microtechnology (CSEM), and involves investigation of deep learning in the context of speech and image processing. For a full description, please see the link: http://www.idiap.ch/education-and-jobs/job-10236 Idiap is located in French speaking Switzerland, although the lab hosts many nationalities, and functions in English. All positions offer quite generous salaries. Several similar positions at PhD, post-doc and senior level are available at the institute in general. http://www.idiap.ch/en/join-us/job-opportunities Sincerely, -- Phil Garner http://www.idiap.ch/~pgarner From marcello.pelillo at gmail.com Thu Jan 11 09:05:57 2018 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Thu, 11 Jan 2018 15:05:57 +0100 Subject: Connectionists: Faculty position in Machine Learning @ LUISS University, Rome Message-ID: LUISS University in Rome, Italy (www.luiss.it) is aggressively recruiting tenured faculty in the area of Algorithms, Machine Learning and Data Science. A call for expression of interest related to an Associate/Full Professorship in Machine Learning and Artificial Intelligence is available on: http://www.luiss.edu/call-expressions-interest-full-or- associate-professorship-machine-learning-and-artificial-intelligen The announcement was published also on AKADEUS: https://www.akadeus.com/announcement,a3513.html INOMICS: https://inomics.com/job/full-or-associate-professorship-in- machine-learning-and-artificial-intelligence-computer-science-1116325 Candidates will hold a PhD from a leading research university, will have an established teaching experience and an appropriate record of publications in highly ranked international journals. Candidates will also have either a tenured position status in a university or have recently obtained the appropriate national qualification (ASN) in the Italian University System. The deadline for the expression of interest is January 31, 2018. For further information, please contact recruitingdim at luiss.it. -- Marcello Pelillo, *FIEEE, FIAPR* Professor of Computer Science Ca' Foscari University of Venice *Director*, European Centre for Living Technology (ECLT) Ca' Minich S. Marco 2940, 30124 Venezia, Italy Tel: (39) 041 2347588 - Fax: (39) 041 2347589 http://www.unive.it/eclt *Head*, Computer Vision and Pattern Recognition Lab DAIS - Campus Scientifico Via Torino 155, 30172 Venezia Mestre, Italy Tel: (39) 041 2348440 - Fax: (39) 041 2348419 http://www.dais.unive.it E-mail: marcello.pelillo at gmail.com URL: http://www.dsi.unive.it/~pelillo -------------- next part -------------- An HTML attachment was scrubbed... URL: From lucaleonardo.bologna at pa.ibf.cnr.it Thu Jan 11 10:08:53 2018 From: lucaleonardo.bologna at pa.ibf.cnr.it (Luca Leonardo Bologna) Date: Thu, 11 Jan 2018 16:08:53 +0100 Subject: Connectionists: Job position in Computational Neuroscience at the Institute of Biophysics (National Research Council - Italy) Message-ID: *The Institute of Biophysics of the Italian National Research Council seeks applicants for a position in Computational Neuroscience in the laboratory of Michele Migliore (Palermo, Italy). We are seeking extremely motivated individuals to work in a highly collaborative project.* The project involves the implementation of tools/applications to operate, improve, and maintain a user-oriented simulation platform. A Master or PhD in Physics, Informatics, Computational Neuroscience, Biomedical Engineering, Electrical Engineering, or related field is required. The position is funded by the EU Human Brain Project. Salary follows the National Research Council scale for pre or post-doctoral status. The ideal candidate will have a consolidated experience in Pyhton, C, Object Oriented programming, development of web-application, and both front- and back-end web technologies (e.g. html, javascript, css, django, flask,?). A basic knowledge of the Italian language is required for foreign candidates. Applicants should email ?michele dot migliore at cnr dot it? a PDF file containing: 1) a CV, highlighting evidence of required skills. 2) a max one-page statement of prior research experience and motivation to be considered for this position. The appointment will be for one year, and it could be extended. Best regards. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tony.Pipe at brl.ac.uk Thu Jan 11 11:04:43 2018 From: Tony.Pipe at brl.ac.uk (Tony Pipe) Date: Thu, 11 Jan 2018 16:04:43 +0000 Subject: Connectionists: PhD Scholarship at Bristol Robotics Laboratory: One Shot Printed Multi-Digit Manipulator In-Reply-To: <60471384-2b1e-9217-367d-c103b704c214@brl.ac.uk> References: <60471384-2b1e-9217-367d-c103b704c214@brl.ac.uk> Message-ID: <4a00b1f1-5516-b963-b083-0fd631212022@brl.ac.uk> HP Inc. UK LTD funded PhD Scholarship at Bristol Robotics Laboratory: One Shot Printed Multi-Digit Manipulator ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- The innovative high technology provider HP Inc (HP) and the world renowned Bristol Robotics Laboratory (BRL) have decided to work together to carry out an exciting new research project on creating and developing the technology and techniques that would enable the 3D printing of a multi-digit robot manipulator, in one pass. Such a process has yet to be developed, but would include construction of the manipulator?s digits, the joints between those digits, together with all the embedded sensing and actuation components. The likely form would be an opposed 3+fingered gripper that will be capable of picking up a modest range of items. The research work itself will have a strong emphasis on ?learning from experiment?, i.e., there will be an iterative process of developing prototypes of gradually greater capability, in order to validate the instantiation of approaches that are identified through the conducted research. These prototypes could be partially assembled from sub-components where the technology is not available but is a realistic step away. Experienced BRL research academics will work together with HP?s senior design engineers to provide guidance throughout the research programme. BRL?s established expertise in state-of-the-art 3D plastic-part printing will be augmented by HP?s specialised skills in the range of properties available, or being investigated, with its advanced Multi Jet Fusion (MJF - powder bed) 3D printing process, as well as its deep knowledge of that which is available in the wider industry. Of course, this is advanced research, so it cannot be predicted exactly how fast the pace of progress will be. However, if things go well, then the scope could be extended to include the use of manipulator customisation to address established challenges in 3D printing workflow. For example, HP?s MJF process produces ?cakes? containing the parts. These are then separated from each other in a dedicated station with the resulting parts that were in the cake all mixed together.? The potential for widely varying shapes, masses and material properties represent a critical challenge for their subsequent handling by automated systems. If the printing of customised manipulators for specific parts could be rendered to be cheap and rapid, then this could form a crucial part of a solution to the handling and sorting of the disparate parts. The PhD will take place in BRL and will benefit from links with the existing CDT programme within the BRL. For the full advert please refer to the following link: http://www1.uwe.ac.uk/research/postgraduateresearchstudy/studentshipopportunities/oneshotprinted.aspx -- Tony Pipe Professor of Robotics and Autonomous Systems Deputy Director: Bristol Robotics Laboratory Bristol Robotics Laboratory T-Building Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 From Tony.Pipe at brl.ac.uk Thu Jan 11 11:15:42 2018 From: Tony.Pipe at brl.ac.uk (Tony Pipe) Date: Thu, 11 Jan 2018 16:15:42 +0000 Subject: Connectionists: PhD Scholarship at Bristol Robotics Laboratory in Object Identification and Authentication using Microscopic Forensic Signatures In-Reply-To: <4a00b1f1-5516-b963-b083-0fd631212022@brl.ac.uk> References: <60471384-2b1e-9217-367d-c103b704c214@brl.ac.uk> <4a00b1f1-5516-b963-b083-0fd631212022@brl.ac.uk> Message-ID: <3779ad6b-0e4b-3af2-4c2d-f856c3dde1be@brl.ac.uk> HP Inc. UK LTD funded PhD Scholarship at Bristol Robotics Laboratory in Object Identification and Authentication using Microscopic Forensic Signatures ---------------------------------------------------------------------------------------------------------------------------------- The technology provider HP Inc. (HP) and the world renowned Bristol Robotics Laboratory (BRL) are working together on an exciting new research project to develop novel sensors and algorithms aimed at realising low-cost technology for the capture of unique surface characteristics from differing substrate types (e.g. paper, ceramic, plastic etc.). Both 3D structural and 2D spectral signals will be investigated at the microscopic scale (defined here as 1-3um XY, 100nm Z), with the aim of recovering and describing properties that naturally occur at the surface, or which can be introduced, in order to realise a unique object recognition signature. About the Studentship Estimating 3D surface texture and reflectance at microscale is a challenging, problem with a number of unsolved issues, and requires the capture of highly dense microstructures. This project will focus on: 1.?????? Using a range of optical/computer vision techniques to capture and recover 3D surfaces of substrates at microscale. 2.?????? Investigating the simultaneous recovery of multispectral signals and 3D structure at the microscopic scale. 3.?????? Developing novel algorithms to derive translation and rotation invariant signatures of different categories of substrates. 4.?????? Developing novel machine learning approaches (use of deep learning concepts) to characterise substrates at the microscale level and identify their inherent properties. 3D depth recovery approaches such as structured light and stereo reconstruction will be considered, along with alternative methods based on phase shift interferometry and/or focus variation. Likewise, approaches looking at the narrow band spectral shifting data, captured using a hyperspectral imaging device (or a custom based multispectral image capture system) will also be investigated. In addition, this project will also investigate approaches looking at using localised properties (surface reflectance, surface texture and 3D properties) of a surface at microscale in order to build a more generalised meta-surface structure characterisation, say using a Simultaneous Localisation and Mapping (SLAM) approach. The aim will be to establish signatures which can be captured using low-cost technology, are unique at the item level, can be readily compared and which have strong statistical significance. Typically this may be achieved through: 1.?????? the printing of a registration mark 2.?????? including sufficient information in the signature for self-registration or 3.?????? introducing a small degree of rotation and transitional invariance into the signature itself. Experienced BRL research academics from the Centre for Machine Vision (CMV), will work together with HP?s senior design engineers to provide guidance throughout the research programme. The CMV has developed internationally leading research and expertise in innovative 3D surface recovery solutions applied to different areas, including medical, agri-tech, digital advertising and others. Augmented by HP?s specialised skills at developing low-cost microscopic scale devices, this research will use a range of state-of-art optical/computer vision techniques developed at the CMV to generate innovate solutions for the capture, recovery and characterisation of substrates at microscale. The PhD will be at the CMV in BRL and will benefit from links with the existing CDT programme (http://farscope.bris.ac.uk/) within the BRL. For an informal discussion about the studentship, please email Professor Melvyn Smith: melvyn.smith at uwe.ac.uk For the full advert please refer to the following link: http://www1.uwe.ac.uk/research/postgraduateresearchstudy/studentshipopportunities/objectidentification.aspx -- Tony Pipe Professor of Robotics and Autonomous Systems Deputy Director: Bristol Robotics Laboratory Bristol Robotics Laboratory T-Building Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 From Tony.Pipe at brl.ac.uk Thu Jan 11 11:06:27 2018 From: Tony.Pipe at brl.ac.uk (Tony Pipe) Date: Thu, 11 Jan 2018 16:06:27 +0000 Subject: Connectionists: Professor of Robotics In-Reply-To: <4a00b1f1-5516-b963-b083-0fd631212022@brl.ac.uk> References: <60471384-2b1e-9217-367d-c103b704c214@brl.ac.uk> <4a00b1f1-5516-b963-b083-0fd631212022@brl.ac.uk> Message-ID: <50ce53e9-b172-9a8f-2abd-0ca52b86aed4@brl.ac.uk> Job title: Professor of Robotics Department: Bristol Robotics Laboratory, Engineering Design & Mathematics Campus/location: Frenchay, Bristol campus Salary band: ?60,173 - ?86,889 per annum Duration of post: Permanent Closing date: 19 January 2018 @ 23:59 Job Overview: The Bristol Robotics Laboratory at the Faculty of Environment & Technology have an exciting permanent and full time position for a Professor of Robotics to join BRL within the Engineering, Design & Mathematics Department. The Robotics and Autonomous Systems (RAS) research-and-innovation pipeline is now experiencing unprecedented growth, evidenced by substantial new research opportunities appearing across the UK, EU and global funding landscape. In the context of Human-Robot Interaction, you will champion research in control systems underpinning: ??? advanced augmented and virtual reality via immersive tele-operation; ??? dynamic Levels of Autonomy (LoA) , typically varying from teleoperation to autonomous control, i.e., the ability to dynamically switch between different LoA so as to significantly outperform any single Level. These research topics can lead naturally to shared control frameworks that enable both human and AI to collaborate in controlling one or more robots, thus simultaneously fusing reasoning from both the human and the autonomous agent. These methods are particularly relevant to safety-critical application domains where remote operation and varying autonomy could be highly beneficial. This strategic focus resonates strongly as a fundamental and core issue in domains that stretch from assisted living, through robot-assisted surgery, to operations in an array of challenging and/or hazardous environments (e.g. nuclear decommissioning, subsea, space, offshore maintenance), and human-robot teamwork in manufacturing domains that incorporate critical elements of ?Industrie 4.0?. In all of these areas, a human-in-the-loop may be required for some or even all of the time, but complex manipulations may be too difficult to directly teleoperate efficiently. We are looking for a candidate that could take on the challenge of joining these common factors across the application domains, all of which are existing foci for BRL, i.e., a candidate who will work with and grow our existing teams as part of our BRL Unique Selling Point. We welcome applications from researchers able to build on strongly linked disciplines and who are fully committed to developing one or more of the area of research outlined above. UWE Bristol is an ambitious university. Together, our people are working hard to advance knowledge, inspire people and transform futures. We are looking for people with the skills and ambition to help us achieve those aims. We are a well-established university, with over 27,000 students, 250,000 alumni and 3,000 staff. Students come to study with us from all over the UK, as well as from 140 different countries around the world, making this a diverse and interesting place to come and study. Bristol itself is a hub of social and cultural activity. A place with a strong, creative and fiercely independent mindset. A city with a buzzing music scene, great restaurants and interesting business ventures. It?s not surprising Bristol is consistently named as one of the best places to live and work in the UK. In addition to progressive pay rates, UWE Bristol offers a wide range of staff benefits including: ??? a generous holiday allowance of 35 Days ??? up to 12.5 bank holiday/closure days per year in addition; ??? flexible working; ??? excellent defined benefit pension schemes; ??? option to participate in the cycle to work scheme; ??? family friendly policies; ??? onsite nursery at our Frenchay Campus; ??? option to purchase childcare vouchers. This post is based at our lively Frenchay campus where we have invested in the latest facilities and resources to give our students access to everything they need to succeed ? with ?300m being spent on new state-of-the-art learning spaces and accommodation between now and 2020 to enhance our offer even further. Frenchay campus is within close proximity to excellent motorway links and within walking distance of two train stations, making UWE Frenchay Campus the ideal place to work for those wishing to commute to Bristol. If you have any queries or would like an informal discussion, please contact the Director of BRL, Prof. Chris Melhuish at Chris.Melhuish at uwe.ac.uk or on +44 117 328 6332. Link to Bristol Robotics Laboratory with more details of the laboratory and full advert is: http://www.brl.ac.uk (http://www.brl.ac.uk/jobsatbrl.aspx for advert only). Alternative link for more details of the role and how to apply, please visit: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?amNvZGU9MTY5MzczMiZvd25lcj01MDU1Mjc4Jm93bmVydHlwZT1mYWlyJnBvc3RpbmdfY29kZT00OTcmdnRfdGVtcGxhdGU9MTUzOA&jcode=1693732&owner=5055278&ownertype=fair&posting_code=497&vt_template=1538 -- Tony Pipe Professor of Robotics and Autonomous Systems Deputy Director: Bristol Robotics Laboratory Bristol Robotics Laboratory T-Building Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 From chakrabarty at flyinghealth.com Thu Jan 11 15:09:57 2018 From: chakrabarty at flyinghealth.com (Arnab Chakrabarty) Date: Thu, 11 Jan 2018 21:09:57 +0100 Subject: Connectionists: Berlin based Start-up is looking for biologists Message-ID: <001301d38b18$296ece80$7c4c6b80$@flyinghealth.com> Berlin Start-up seeks biologists for multiple open positions (senior and junior) neuraltrain GmbH is a newly founded digital health start-up based in Berlin developing innovative, digital, mental health solutions. We are looking for biologist(s)/neuroscientist(s) for one of the current projects on a digital therapy solution in depression and affective disorders. Start dates are marginally negotiable although immediate availability (starting March, 2018) is strongly preferred. Responsibilities: * Design, conduct, analyse and present research from the project * In-depth literature review and meta-analyses; in particular, brain oscillations, psychophysics, depression, internet based therapy interventions are topics of relevance * Identification and establishment of scientific collaboration with academic partners * Writing reports, grants, publications in English (and German) Qualifications and traits desired: * PhD in Neurosciences/ Cognitive Neurosciences/ Psychology/ Biology; fresh graduates and post-docs are particularly encouraged to apply * Expertise in any of the following areas: neuronal oscillations, neurobiology of emotion, neurobiology of attention, psychophysics, perceptual learning. Programming and some app development experience is a strong plus * Experience as an independent researcher in any of the above areas * Knowledge of Python and/or willingness to learn, strong statistical and analytical skills * Entrepreneurial mentality and an ownership/stakeholder attitude to get things done * Knowledge of 'key opinion leaders' in depression and psychiatry, psychology, brain oscillations is a plus You do not have to match all the criteria to apply. We will assess your fit on a case by case basis. We are an equal opportunities employer and favour diversity. We offer a young, dynamic and dynamic working environment in a hip and exciting co-working space right in the heart of Berlin. We are a small, but growing team and are very well-connected in the Digital Health ecosystem. We offer enough flexibility to grow personally and professionally. Location: Berlin Position: Full-time If you feel addressed by this job description, feel encouraged to get in touch at chakrabarty at neuraltrain.de with your CV and cover letter describing your motivation for the project and digital health. Dr. Arnab Chakrabarty Founder and CEO, neuraltrain GmbH -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: neuraltrain job description_11Jan2018.pdf Type: application/pdf Size: 573205 bytes Desc: not available URL: From dayan at gatsby.ucl.ac.uk Fri Jan 12 00:44:51 2018 From: dayan at gatsby.ucl.ac.uk (Peter Dayan) Date: Fri, 12 Jan 2018 05:44:51 +0000 Subject: Connectionists: Conference: Computational Neuroscience of Prediction Message-ID: <20180112054451.GI30751@gatsby.ucl.ac.uk> Kerstin Preuschoff and I are organising a Brain Conference on the Computational Neuroscience of Prediction in Rungstedgaard, Denmark, 15-18 April 2018. The programme is richly broad and deep - so do please join us and contribute. The end of early application is next week: 20th January 2018. Short talk presenters and 15 stipend awardees will be selected following the regular registration deadline (of 14 Feb). Please see the details and application form at: http://www.fens.org/Meetings/The-Brain-Conferences/The-Computational-Neuroscience-of-Prediction/ Peter Dayan From jimtoer at ifi.uio.no Fri Jan 12 01:54:30 2018 From: jimtoer at ifi.uio.no (=?utf-8?Q?Jim_T=C3=B8rresen?=) Date: Fri, 12 Jan 2018 07:54:30 +0100 Subject: Connectionists: Call for papers: Special session on Sensing and Predicting Human Mental and Medical State at WCCI-IJCNN (Rio de Janeiro, 8-13, July 2018) Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: Computational Intelligence for Sensing and Predicting Human Mental and Medical State (CI-SEPHUMMES) Cross-Disciplinary Special session at 2018 IEEE World Congress on Computational Intelligence (WCCI) Special session Web page: https://sites.google.com/site/wcci2018sephummes International Joint Conference on Neural Networks, hosted at IEEE World Congress on Computational Intelligence (IEEE WCCI 2018) 8-13 July 2018, Rio de Janeiro, Brazil - http://www.ecomp.poli.br/~wcci2018/ Paper submission deadline: 1 February 2018 (extended) Organizers Jim Torresen , University of Oslo, Norway Enrique Garcia Ceja , University of Oslo, Norway Dante Barone , Federal University of Rio Grande do Sul, Brazil Description Computational intelligence techniques have shown to be effective in classifying human mental and medical state. This is useful for a number of applications including within mental health treatment technology and systems for monitoring and notifying about irregular medical state of elderly people living alone at home. Many different kinds of sensing technologies are relevant including sensors available in smartphones, sensor watches and ambient sensors. Scope and Topics The aim of the special session is to provide a forum to disseminate and discuss recent and significant research within applying computation intelligence to classify, model and predict future human mental and medical state. We invite interested authors to submit their original and unpublished work to this special session. Topics of interest within the given application domain for the special session include (but are not limited to): ? Ambient assisted living ? Ambient sensor systems ? Contributions and Applications of Computational Neuroscience ? Data analytics and visualization ? Emotion detection ? Medical state classification and forecasting ? Mental disorders state classification and forecasting ? Mobile sensing ? Multi-sensor fusion ? On-body sensor systems ? Privacy in human monitoring ? Remote sensing and monitoring ? Robot companion sensing ? Sensitive data collection and storage ? Sensor networks ? Smart home technologies ? Temporal data analysis ? Time series modeling and forecasting Submitted papers will be reviewed according to the IJCNN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style. Accepted and presented papers will be published under the IJCNN 2018 proceedings. However, as a cross-disciplinary and CI applications oriented special session, cross-disciplinary work involving Fuzzy and Evolutionary learning is encouraged. For paper guidelines please visit www.ecomp.poli.br/~wcci2018/submissions/#guidelines > and for submissions please visit http://ieee-cis.org/conferences/ijcnn2018/upload.php and select "CDSS-23. Special Session special session on Computational Intelligence for Sensing and Predicting Human Mental and Medical State" as the Main research topic. IMPORTANT DATES: Paper submission: 15th January 2018 Paper acceptance: 15th March 2018 Final paper submission: 1st May 2018 Early registration: 1st May 2018 IEEE WCCI 2018 conference: 8-13 July 2018 Best regards, Jim Jim Torresen Professor Department of Informatics University of Oslo PO Box 1080 Blindern N-0316 Oslo ==================== E-mail: jimtoer at ifi.uio.no Phone: +47 2285 2454 Mobile: + 47 9284 6669 http://people.uio.no/jimtoer -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpulina at uniss.it Fri Jan 12 03:28:53 2018 From: lpulina at uniss.it (Luca Pulina) Date: Fri, 12 Jan 2018 09:28:53 +0100 Subject: Connectionists: QBFEVAL'18 - Competitive Evaluation of QBF Solvers Message-ID: <2eac05fb-b1e5-20e8-0543-8fb5d05b03ae@uniss.it> [apologies for any cross-posting] ****************************************************************** QBFEVAL'18 - Competitive Evaluation of QBF Solvers Preliminary Call for Participation A joint event with Federated Logic Conference (FLoC) 2018 - Oxford, UK 6 - 19 July 2018 ****************************************************************** QBFEVAL'18 will be the 2018 competitive evaluation of QBF solvers, and the thirteenth evaluation of QBF solvers and instances ever. QBFEVAL'18 will award solvers that stand out as being particularly effective on specific categories of QBF instances. We warmly encourage developers of QBF solvers to submit their work, even at early stages of development, as long as it fulfills some very simple requirements. We also welcome the submission of QBF formulas to be used for the evaluation. Researchers thinking about using QBF-based techniques in their area (e.g., formal verification, planning, knowledge reasoning) are invited to contribute to the evaluation by submitting QBF instances of their research problems (see the requirements for instances). The results of the evaluation will be a good indicator of the current feasibility of QBF-based approaches and a stimulus for people working on QBF solvers to further enhance their tools. Details about solvers and benchmarks submission, tracks, and related rules will be soon available. In the meanwhile, we encourage people to join discussions at https://groups.google.com/forum/#!forum/qbfeval18, as well as for questions, comments and any other issue regarding QBFEVAL'18. Important Dates Registration open: March 1st 2018 Registration close: April 22nd 2018 Solvers and Benchmarks due: April 30th 2018 Final results: presented at FLoC 2018 Organization Luca Pulina, University of Sassari Martina Seidl, Johannes Kepler Universit?t Linz Judges Olaf Beyersdorff, University of Leeds Christoph Wintersteiger, Microsoft Research Limited -- Luca Pulina, Ph.D. Associate Professor of Computer Science University of Sassari Tel. +39 079 228987 From r.pascanu at gmail.com Fri Jan 12 06:36:58 2018 From: r.pascanu at gmail.com (Razvan Pascanu) Date: Fri, 12 Jan 2018 11:36:58 +0000 Subject: Connectionists: Transylvanian Machine Learning Summer School (TMLSS), Cluj-Napoca, Romania, 16-22 July 2018 Message-ID: Call for Participation (apologies for crossposting) Transylvanian Machine Learning Summer School July 16-22, 2018, Cluj-Napoca, Romania Web: www.tmlss.ro Email: contact at tmlss.ro Application opens: January 22, 2018 Application closes: March 30, 2018 Notification of acceptance: April 27, 2018 Motivation and description TMLSS is a machine learning summer school that aims to popularize topics around machine learning and artificial intelligence and to encourage research in these fields. The summer school will be held in Eastern Europe -- this year in Cluj-Napoca, Romania. By bringing together high quality lecturers and students from all over the world, we strive to enable communication and networking between the Eastern Europe research community and students and researchers from established groups around the world. The school is open to participants from all over the world. The selection process has equal opportunities and diversity at heart, and will assess interest and knowledge of machine learning. The theme of this edition will be Deep Learning and Reinforcement Learning. The programme consists of lectures and hands-on practical sessions on core topics such as Computer Vision, Natural Language Processing, Reinforcement Learning, and Generative Models. Additional advanced topics include Robotics and the Theory of Neural Networks. List of confirmed lecturers Doina Precup, McGill University & DeepMind Dumitru Erhan, Google Brain Guido Mont?far, University of California, Los Angeles Jan Chorowski, University of Wroc?aw & Google Brain Kyunghyun Cho, New York University & Facebook AI Research Lucian Bu?oniu, Technical University of Cluj-Napoca Luigi Malag?, Romanian Institute of Science and Technology Marius Leordeanu, Politechnica University of Bucharest & Institute of Mathematics of the Romanian Academy Raia Hadsell, DeepMind Razvan Pascanu, DeepMind Lab instructors Diana Borsa, DeepMind & University College London Mihaela Rosca, DeepMind Viorica Patraucean, DeepMind Wojtek Czarnecki, DeepMind Organizers Doina Precup, McGill University & DeepMind Luigi Malag?, Romanian Institute of Science and Technology R?zvan Florian, Romanian Institute of Science and Technology Razvan Pascanu, DeepMind Viorica Patraucean, DeepMind Partners Romanian Institute of Science and Technology, Cluj-Napoca, Romania Babes-Bolyai University, Cluj-Napoca, Romania Poster session Participants are encouraged to present posters on their research work and interests. The work described does not have to be novel. For example, students can present their experience of reproducing published work. Presenting a poster increases the chance of being selected. Participants that choose to present a poster will be asked to submit an abstract during registration. Social events The programme includes several opportunities for socializing and networking, such as welcoming reception, half-day trip around Cluj, farewell dinner. Scholarships A limited number of scholarships will be offered to students, based on financial considerations. More info www.tmlss.ro contact at tmlss.ro Follow us on Facebook -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.gomez.rodriguez at gmail.com Fri Jan 12 07:44:17 2018 From: m.gomez.rodriguez at gmail.com (Manuel Gomez Rodriguez) Date: Fri, 12 Jan 2018 13:44:17 +0100 Subject: Connectionists: The Cornell, Maryland, Max Planck Pre-doctoral Research School 2018 Message-ID: The Cornell, Maryland, Max Planck Pre-doctoral Research School 2018: "Emerging Trends in Computer Science" August 7-12, 2018 Saarbruecken, Germany Applications are requested from undergraduate students or Master's students in computer science, computer engineering, or a related discipline to The Cornell, Maryland, Max Planck Pre-doctoral Research School. The second of this new annual series of week-long schools will focus on emerging trends in computer science, including software-defined networking, practical formal methods, computational economics and machine learning, systems and network algorithmics, security and privacy, and natural language processing. Leading researchers will engage with attendees in their areas of expertise. The curriculum will include lectures, projects, and interaction with faculty from participating institutions. The small, select group of attendees will be exposed to state-of-the-art research in computer science, have the opportunity to interact one-on-one with internationally leading scientists from three of the foremost academic institutions in research and higher learning in the US and in Europe, and network with like-minded students. They will get a sense of what it is like to pursue an academic or industrial research career in computer science and have a head start when applying for graduate school. For full consideration, applications should be received by February 7, 2018. Travel and accommodation will be covered for accepted students. Further information about the school and how to apply can be found at http://cmmrs.mpi-sws.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From zfalomir at gmail.com Fri Jan 12 09:38:29 2018 From: zfalomir at gmail.com (Zoe Falomir) Date: Fri, 12 Jan 2018 15:38:29 +0100 Subject: Connectionists: Extended Deadline (5 February) SI CC-CogM+RS @CognitiveComputation (Springer) Message-ID: ================================================ Cognitive Computation Special Issue on Bridging Cognitive Models and Recommender Systems (CC-CogM+RS) Call for Papers Extended Deadline (strict): February 5th, 2018 ================================================ BACKGROUND: The aim of this special issue is to provide a space for researchers to discuss the possible points of contact and to highlight the issues and the advantages of bridging different fields for the study of cognitive architectures for recommendation, as well as recommender systems shaping cognitive architectures. In recent conferences and meetings, we realized that this bridged topic has not received sufficient attention. In our opinion, recommendations should also be designed/evaluated taking into account cognitive and emotional factors. This issue is closely related with key trends that are in the peak of the Gartner's 2016 Hype Cycle for Emerging Technologies ( gartner.com/newsroom/id/3412017) as cognitive expert advisors, machine learning or smart robots. This bridge should be traveled in both sides. From one side, cognition represents an ideal model to link different disciplines, as the field of Robotics and that of Interaction studies, or the field of Decision Support Systems and that of Information Retrieval. Cognitive architectures are providing recommendations to an agent (a human or a robot) in order to interact with the environment (perceived environment or collected data). On the other side, expert recommender systems, by getting assessment from collaborative human expertise, can automate, in a cognitive way, procedures and tasks, either for physical agents, like robots, or soft agents collecting information from databases or Internet. Interaction experiences bridging cognitive architectures and recommender systems refers not only to objective measures related with the associated task, but especially to the subjective ones: emotions, mood, engagement, availability. Appealing architectures managing these concerns consider fuzzy / hesitant / qualitative / uncertainty measures and reasoning. TOPICS COVERED: - Cognitive modeling, cognitive systems, cognitive architectures, cognitive representations. - Recommender systems, decision support systems, group decision making, cognitive expert advisors. - Context-aware systems, sentiment analysis, and social data analysis. - Logic and reasoning, spatial thinking, spatio-temporal reasoning, common-sense reasoning. - Theoretical foundations of cognitive models and recommender systems: machine learning, computational intelligence, data analysis and data mining, knowledge acquisition and representation, adaptive perception/cognition. - Cognitive Robotics. - Applications involving topics from above and focused on: education, robotics, creativity, ambient-intelligence, health-care SUBMISSION: Manuscripts should be prepared according to the "Instructions For Authors" of the journal found at http://www.springer.com/biomed/neuroscience/journal/12559?de tailsPage=pltci_2094392 and submissions should be done through the EditorialManager system: https://www.editorialmanager.com/cogn/default.aspx selecting the category "SI: Bridging Cognitive Models and Recommender Systems,(CC-CogM+RS)" SCHEDULING: Submissions Deadline: January 15th, 2018 First notification of acceptance: April 1st, 2018 Submission of revised papers: May 1st, 2018 Final notification to the authors: May 20th, 2018 Submission of final/camera-ready papers: June 15th, 2018 Publication of special issue: September 2018 GUEST EDITORS: - Prof. Dr. Cecilio Angulo, Universitat Polit?cnica de Catalunya - UPC BarcelonaTECH , Spain - Dr.-Ing. Zoe Falomir, Universit?t Bremen, Germany - Prof. Dr. Davide Anguita, Universit? degli Studi di Genova, Italy - Prof. N?ria Agell, ESADE - Ramon Llull University, Spain - Dr. Erik Cambria, Nanyang Technological University, Singapore FURTHER INFORMATION: For further information, please contact us! -- ------------------------------------------------------------ Dr.-Ing. Zoe Falomir Llansola https://sites.google.com/site/zfalomir/home Twitter at @zfalomir ------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.deGreeff at tudelft.nl Sat Jan 13 09:56:33 2018 From: J.deGreeff at tudelft.nl (Joachim de Greeff) Date: Sat, 13 Jan 2018 15:56:33 +0100 Subject: Connectionists: [3rd CFP] HRI-2018 Workshop on *Longitudinal Human-Robot Teaming* Message-ID: <108697_1515855398_w0DEuaSK110562_6c72db19-3606-0e7f-fa90-ee6fe7c91321@tudelft.nl> * Apologies for cross postings * ===================================================================== HRI-2018 Workshop -- Longitudinal Human-Robot Teaming March 5, 2018 -- Chicago, IL, USA Website: http://bradhayes.info/hri18/ Submission deadline: January 19, 2018 Contact: J.deGreeff at tudelft.nl ===================================================================== Overview ===================================================================== As robots that share working and living environments with humans proliferate, Human-Robot Teaming (HRT) is becoming more relevant every day. HRT does not happen in just one moment, but extends and develops over time. Long-term joint activity is bound to face changes in the environment, possibly changes in the (structure of) the team and/or in the way that tasks are performed and in the expectations that team members have of each other and their teaming. As a team faces different situations it accumulates experience and this allows it to grow. Longitudinal HRT, i.e. teaming which develops over time, is still relatively under-explored as most studies of HRT focus on teaming which happens in the ?now?. For many domains however, the notion of changes over time is very relevant. Examples include disaster response, public safety, education, and manufacturing, but also emerging fields such as autonomous vehicles. So, how do robots and other artificial agents deal with teamwork from a long-term perspective? How to enable them to track experience in changing conditions, learn from it and adapt to new situations? Models of HRT need to incorporate the time dimension to allow cooperation dynamics to be shaped by a changing environment. Development over time brings about various levels of uncertainty, as many real-life situations are only predictable up to a certain point. Thus, uncertainty poses additional challenges for sustaining effective teaming between humans and robots. Uncertainty can also exist in the spatial environment in which teamwork takes place, and in the interaction between team-members. Topics of interest ===================================================================== Topics include, but are not limited to: - Dealing with changes over time (e.g. task and team structures, goals, etc) - Dealing with uncertainty about the environments (both spatial and social) - Learning and adaptation over time to become an effective team-member - Learning capability boundaries of an autonomous system for optimized task division - Learning user models over time for enabling personalized interaction - Joint activity planning under uncertainty - Designing for long-term interdependence within human-robot teams - Understanding, modeling, and shaping long-term team dynamics in mixed human-robot teams - Collaborator action and sustainable preference modeling - Generating verbal and non-verbal acts for management and coordination of team activities developing over time - Leveraging human-robot interaction to request assistance or to recover from failure modes Keynote Speaker ===================================================================== * Robin Murphy * Raytheon Professor of Computer Science and Engineering at Texas A&M University and Director of TEES Center for Robot-Assisted Search and Rescue (CRASAR) and the Center for Emergency Informatics Submission details ===================================================================== We will accept contributed papers as either extended abstracts/short papers (2-4 pages), industry white papers (2 pages), position papers (up to 8 pages), or technical papers (up to 8 pages). Each paper will be assigned two reviewers that will evaluate the submission based on significance, technical quality, and relevance. All papers should be submitted in PDF format using the HRI LBR template (see http://humanrobotinteraction.org/2018/lbr), and should be sent to longitudinal.teaming at gmail.com. All submitted papers within the scope of the workshop will be peer-reviewed. Papers will be selected based on their originality, relevance, contributions, technical clarity, and presentation. Accepted papers will require that at least one author registers for and attends the workshop. Details are available on the workshop?s website: http://bradhayes.info/hri18/ Important dates ===================================================================== Submission deadline: January 19, 2018 Acceptance notification: February 2, 2018 Camera-ready deadline: February 16, 2018 Workshop: March 5, 2018, 8am to 12.30pm Organizers ===================================================================== - Joachim de Greeff, Delft University of Technology, the Netherlands - Jurriaan van Diggelen, TNO the Netherlands, the Netherlands - Bradley Hayes, University of Colorado Boulder, USA - Ivana Kruijff-Korbayov?, DFKI, Germany Program Committee: - Koen Hindriks, Delft University of Technology, the Netherlands - Matthew Johnson, IHMC, USA - Catholijn Jonker, Delft University of Technology, the Netherlands - Mark Neerincx, Delft University of Technology/TNO, the Netherlands - Matthew Gombolay, Georgia Institute of Technology, the Netherlands - Melissa Cefkin, Nissan USA, the Netherlands - Joachim de Greeff, Delft University of Technology, the Netherlands - Jurriaan van Diggelen, TNO Human Factors, the Netherlands - Bradley Hayes, University of Colorado Boulder, USA - Ivana Kruijff-Korbayova, DFKI, Germany -- ______________________________________________ Dr Joachim de Greeff - Postdoctoral researcher EU FP7 TRADR project (http://tradr-project.eu) Interactive Intelligence group Delft University of Technology EWI / EEMCS - room HB 12.240 Mekelweg 4, 2628 CD, Delft Delft, The Netherlands http://joachimdegreeff.eu ______________________________________________ From r.pascanu at gmail.com Sun Jan 14 17:08:10 2018 From: r.pascanu at gmail.com (Razvan Pascanu) Date: Sun, 14 Jan 2018 22:08:10 +0000 Subject: Connectionists: Transylvanian Machine Learning Summer School (TMLSS), Cluj-Napoca, Romania, 16-22 July 2018 Message-ID: Call for Participation (apologies for crossposting) Transylvanian Machine Learning Summer School July 16-22, 2018, Cluj-Napoca, Romania Web: www.tmlss.ro Email: contact at tmlss.ro Application opens: January 22, 2018 Application closes: March 30, 2018 Notification of acceptance: April 27, 2018 Motivation and description TMLSS is a machine learning summer school that aims to popularize topics around machine learning and artificial intelligence and to encourage research in these fields. The summer school will be held in Eastern Europe -- this year in Cluj-Napoca, Romania. By bringing together high quality lecturers and students from all over the world, we strive to enable communication and networking between the Eastern Europe research community and students and researchers from established groups around the world. The school is open to participants from all over the world. The selection process has equal opportunities and diversity at heart, and will assess interest and knowledge of machine learning. The theme of this edition will be Deep Learning and Reinforcement Learning. The programme consists of lectures and hands-on practical sessions on core topics such as Computer Vision, Natural Language Processing, Reinforcement Learning, and Generative Models. Additional advanced topics include Robotics and the Theory of Neural Networks. List of confirmed lecturers Doina Precup, McGill University & DeepMind Dumitru Erhan, Google Brain Guido Mont?far, University of California, Los Angeles Jan Chorowski, University of Wroc?aw & Google Brain Kyunghyun Cho, New York University & Facebook AI Research Lucian Bu?oniu, Technical University of Cluj-Napoca Luigi Malag?, Romanian Institute of Science and Technology Marius Leordeanu, Politechnica University of Bucharest & Institute of Mathematics of the Romanian Academy Raia Hadsell, DeepMind Razvan Pascanu, DeepMind Lab instructors Diana Borsa, DeepMind & University College London Mihaela Rosca, DeepMind Viorica Patraucean, DeepMind Wojtek Czarnecki, DeepMind Organizers Doina Precup, McGill University & DeepMind Luigi Malag?, Romanian Institute of Science and Technology R?zvan Florian, Romanian Institute of Science and Technology Razvan Pascanu, DeepMind Viorica Patraucean, DeepMind Partners Romanian Institute of Science and Technology, Cluj-Napoca, Romania Babes-Bolyai University, Cluj-Napoca, Romania Poster session Participants are encouraged to present posters on their research work and interests. The work described does not have to be novel. For example, students can present their experience of reproducing published work. Presenting a poster increases the chance of being selected. Participants that choose to present a poster will be asked to submit an abstract during registration. Social events The programme includes several opportunities for socializing and networking, such as welcoming reception, half-day trip around Cluj, farewell dinner. Scholarships A limited number of scholarships will be offered to students, based on financial considerations. More info www.tmlss.ro contact at tmlss.ro Follow us on Facebook -------------- next part -------------- An HTML attachment was scrubbed... URL: From destexhe at unic.cnrs-gif.fr Sun Jan 14 16:58:06 2018 From: destexhe at unic.cnrs-gif.fr (Alain Destexhe) Date: Sun, 14 Jan 2018 22:58:06 +0100 Subject: Connectionists: Call for Applications: Spring Course in Computational Neuroscience Paris March 19-23, 2018 Message-ID: Hi All, I am forwarding this announcement as the deadline is in a month. Sorry for those who already received it. All the best, Alain ------------ Call for Applications: Spring Course in Computational Neuroscience, Paris, March 19-23, 2018 We hereby announce the EITN Spring Course in Computational Neuroscience of March 19-23, 2018.? It will be held at the European Institute of Theoretical Neuroscience (EITN) in Paris, and is organized by the Theoretical Neuroscience Group of the Human Brain Project.? The main focus of the course will be to understand and design neural models at multiple scales, ranging from cellular and circuit models to large-scale brain networks. Organizers: Idan Segev (Hebrew University), Markus Diesmann (Research Center Julich), Viktor Jirsa (CNRS, Marseille), Sonja Gruen (Research Center Julich), Gaute Einevoll (NMBU), Alain Destexhe (CNRS and EITN) and Gustavo Deco (University Pompeu Fabra). The goal of the course is to teach different techniques of computational neuroscience spanning different scales: Day 1: single-neuron models (Segev) Day 2: mean-field models (Destexhe) Day 3: model comparison and validation (Gruen, Einevoll) Day 4: from local circuits to whole-brain models (Diesmann, Jirsa) Day 5: resting state and sensory processing (Deco) The students will be asked to form 5 interdisciplinary working groups on each one of these themes, and will do a short modeling project using one of the simulation packages presented at the course (Python, NEST, Brian, The Virtual Brain...) Tutorials and use cases will be provided to teach students how to use these packages. The student selection will be based on their excellence, and also based on their need to follow such a course.? Experimentalists and theoreticians are welcome, a prior background in basic neuroscience is required.? We request that the students come to the course with their laptop computer and have software installed, which we will identify prior to the course, to allow working on the projects and tutorials. The deadline for applications is February 15th, 2018.? Applications consist of a one-page CV and a motivation letter to explain why you would like to attend this course. Applications should be sent to the EITN, at eitn at unic.cnrs-gif.fr From rnaud at uottawa.ca Sun Jan 14 18:12:54 2018 From: rnaud at uottawa.ca (Richard Naud) Date: Sun, 14 Jan 2018 23:12:54 +0000 Subject: Connectionists: Summer School of the Centre for Neural Dynamics Message-ID: Call for applicants of the Summer School of the Centre for Neural Dynamics The summer school is intended for graduate students and undergraduate students in their third and fourth year of study in the physical sciences (e.g. physics, applied mathematics, engineering, computer science) and the life sciences (e.g. neuroscience, biology, physiology, human kinetics) who wish to develop their skills in neural data analysis and in mathematical modeling of neural activity. The topics will range from cellular to systems neuroscience, with applications in medicine. Individuals outside of academia may also participate. Dates: May 20 - June 2, 2018. Location: Ottawa, Canada. Application Deadline: February 15, 2018. Faculty Andr? Longtin (uOttawa) Richard Naud (uOttawa) Steve Prescott (Sick Kids) Jonathan Rubin (UPitt) Jean-Philippe Thivierge (uOttawa) Majid Mohajerani (ULethbridge) Greg Silasi (uOttawa) Adam Sachs (uOttawa) Jean-Claude B??que (uOttawa) Maurice Chacron (McGill) Georg Northoff (uOttawa) Detailed information can be found on the website of the Centre of Neural Dynamics. Kind Regards, Andr? Longtin and Richard Naud -------------- next part -------------- An HTML attachment was scrubbed... URL: From nnavarin at math.unipd.it Mon Jan 15 04:25:07 2018 From: nnavarin at math.unipd.it (=?utf-8?Q?Dr=2E_Nicol=C3=B2_Navarin?=) Date: Mon, 15 Jan 2018 10:25:07 +0100 Subject: Connectionists: Deadline Extended: special session on Empowering Deep Learning Models at WCCI-IJCNN (Rio de Janeiro, 8-13 July 2018). Message-ID: <8939_1516008566_w0F9TN5w009177_68E09561-2766-4157-8F41-8CA65B342B82@math.unipd.it> Second Call for Papers Empowering Deep Learning Models Special Session for the 2018 IEEE World Congress on Computational Intelligence (WCCI) 2018, the International Joint Conference on Neural Networks (IJCNN) 2018 http://www.ecomp.poli.br/~wcci2018/ijcnn-sessions/#ijcnn8 Paper submission deadline: 1 February 2018 IEEE WCCI conference: 8-13 July 2018, Rio de Janeiro, Brazil Description In recent years, Deep Learning has become the go-to solution for a broad range of applications, often outperforming state-of-the-art. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, computer vision, drug discovery, genomics and many others. Scope and Topics The goal of this special session is to provide a forum for focused discussions on new extensions of deep learning models and techniques, and to gain a deeper understanding of the difficulties and limitations associated with state-of-the-art approaches and algorithms. Practitioners should provide practical insights to the theoreticians, which in turn, should supply theoretical insights and guarantees, further strengthening and sharpening practical intuitions and wisdom. Examples of these possible extensions are: -Multimodal and Multitask Deep Learning -Deep Transfer Learning -Deep Recurrent and Recursive Neural Networks -Deep Learning on Structured Data -Interpretability of Deep Learning -Private and Federated Deep Learning -Generative and Adversarial Deep Learning -Randomized Deep Learning (Deep ELM, Deep ESN, Deep Reservoir Computing) The focus of this special session is to attract both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations between the different fields of deep learning and other fields of research in solving real world problems. Both theoretical and practical results (e.g. Social Data Analysis, Speech, Natural Language Processing, Cybersecurity) are welcome to our special session. This special session is supported by the IEEE Task Force on Deep Learning. Important dates Paper Submission Deadline: 1 february 2018 Paper Acceptance Notification Date: 15 March 2018 Final Paper Submission and Early Registration Deadline: 1st May 2018 IEEE WCCI 2018: 08-13 July 2018 Special Session Organizers Nicol? Navarin (University of Padova, Italy), Luca Oneto (University of Genoa, Italy), Luca Pasa (Istituto Italiano di Tecnologia), Alessandro Sperduti (University of Padova, Italy). ? Nicol? Navarin, PhD Research fellow University of Padova - Department of Mathematics via Trieste 63, 35121 Padova - Italy Tel. +39 049 8271476 E-mail: ?nnavarin at math.unipd.it Web: http://www.math.unipd.it/~nnavarin -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.madden at nuigalway.ie Mon Jan 15 04:59:09 2018 From: michael.madden at nuigalway.ie (Madden, Michael) Date: Mon, 15 Jan 2018 09:59:09 +0000 Subject: Connectionists: Job opportunity - Postdoctoral Researcher / Research Fellow in machine learning, AI, and robotics Message-ID: Hello all; I would appreciate it if you would bring this position to the attention of anybody who may be interested in it. We are currently recruiting an experienced Postdoctoral Researcher / Research Fellow with Prof. Michael Madden in the Data Mining & Machine Learning Group, at the National University of Ireland, Galway. The successful candidate will be involved in development of new algorithms for probabilistic reasoning over time, for routing and control of autonomous airborne and ground-based vehicles, and for context-aware decision support driven by sensor data analytics. This is an excellent opportunity to engage in R&D, working in a flexible and stimulating research environment, while collaborating with academic and industrial partners across Europe and gaining experience in project management and proposal-writing. There can also be opportunities for some part-time lecturing, to support the successful candidate?s academic career development. You are welcome to contact me for informal enquiries about this post. For further information and how to apply, please see: http://datamining.it.nuigalway.ie/ Thank you, Michael. -- Prof. Michael Madden Head of Data Mining & Machine Learning Group National University of Ireland, Galway +353-91-493797 / +353-86-7952802 http://datamining.it.nuigalway.ie/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From james.marshall at sheffield.ac.uk Mon Jan 15 06:49:06 2018 From: james.marshall at sheffield.ac.uk (James Marshall) Date: Mon, 15 Jan 2018 11:49:06 +0000 Subject: Connectionists: Job: RA in Computational Neuroscience (Insect Protocerebrum) - Sheffield, UK Message-ID: <9EFD981B-209B-4CB1-810E-DEE1D4CDDAE7@sheffield.ac.uk> [apologies for cross-posting] Dear colleagues, we are seeking a postdoctoral research associate to join the University of Sheffield, as part of the 4.8m GBP Brains on Board project. The successful applicant will join a large and dynamic team seeking to model the honeybee brain and deploy models on flying robots, and will be responsible for investigating and modelling insect protocerebrum. For further details please see http://brainsonboard.co.uk and http://www.jobs.ac.uk/job/BGS054/research-associate-in-computational-neuroscience/ Best wishes, James Marshall --- James A. R. Marshall Professor of Theoretical and Computational Biology Behavioural and Evolutionary Theory Lab University of Sheffield http://staffwww.dcs.shef.ac.uk/people/J.Marshall/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From trentin at dii.unisi.it Mon Jan 15 08:40:20 2018 From: trentin at dii.unisi.it (Edmondo Trentin) Date: Mon, 15 Jan 2018 14:40:20 +0100 Subject: Connectionists: CFP: ANNPR 2018 in Siena (Italy) - 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition Message-ID: Call for papers: 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2018) September 19-21, 2018 DIISM, Universit? di Siena, Tuscany (Italy) URL: http://annpr2018.diism.unisi.it/ Sponsored by the International Association for Pattern Recognition (IAPR) The Workshop proceedings will be published in the Springer LNAI series ANNPR 2018 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of interest include, but are not limited to: Methodological Issues - Supervised, partially supervised, and unsupervised learning - Feed-forward, recurrent, and competitive neural nets - Kernel machines - Hierarchical modular architectures and hybrid systems - Combination of neural networks and Hidden Markov models - Multiple classifier systems and ensemble methods - Probabilistic graphical models - Deep architectures Applications to Pattern Recognition - Image processing and segmentation - Handwritten recognition and Document analysis - Sensor-fusion and multi-modal processing - Feature extraction, dimensionality reduction - Clustering and vector quantization - Speech and speaker recognition - Data, text, and web mining - Bioinformatics/Cheminformatics ANNPR2018 is organized by the Technical Committee 3 (IAPR TC3) on Neural Networks & Computational Intelligence of the International Association for Pattern Recognition (IAPR). As such, we particularly encourage submissions that fit the Manifesto and the research directions of the TC3 (see http://iapr-tc3.diism.unisi.it/Research.html) Important Dates Special session proposal: Apr 1, 2018 Paper submission: Apr 29, 2018 Notification of acceptance: June 10, 2018 Camera ready due: June 25, 2018 Early registration: June 25, 2018 Workshop: Sept. 19-21, 2018 (Wed to Fri) Paper Submission: Perspective Authors shall submit their paper in Springer LNCS/LNAI format. Instructions for Authors, LaTeX templates, etc. are available at the Springer LNCS/LNAI web-site (see http://www.springer.com/it/computer-science/lncs/conference-proceedings-guidelines). The maximum paper length is 12 pages. Submission of a paper constitutes a commitment that, if accepted, at least one of the Authors will complete an early registration to the workshop. On-line submission via EasyChair will be made available in due time through the ANNPR2018 website. For more information, please visit us at: http://annpr2018.diism.unisi.it/ Do not hesitate to contact the ANNPR2018 Chairs for any inquiries. ANNPR2018 Chairs Luca Pancioni, Universit? di Siena, Italy Friedhelm Schwenker, Ulm University, Germany Edmondo Trentin, Universit? di Siena, Italy ----------------------------------------------- Edmondo Trentin, PhD Dip. Ingegneria dell'Informazione e Scienze MM. V. Roma, 56 - I-53100 Siena (Italy) E-mail: trentin at dii.unisi.it Voice: +39-0577-234636 Fax: +39-0577-233602 WWW: http://www.dii.unisi.it/~trentin From zoubin at eng.cam.ac.uk Mon Jan 15 09:11:02 2018 From: zoubin at eng.cam.ac.uk (Zoubin Ghahramani) Date: Mon, 15 Jan 2018 14:11:02 +0000 Subject: Connectionists: Postdoc Position in AI/Machine Learning Trust and Transparency at the University of Cambridge Message-ID: <612AC203-0DC8-4B9E-B44C-6CD41259C605@eng.cam.ac.uk> In collaboration with the Machine Learning Group, the Leverhulme Centre for the Future of Intelligence (CFI) at the University of Cambridge invites applications for a postdoctoral Research Associate to work on the project 'Trust and Transparency in AI', which spans multiple disciplines including machine learning, law, psychology and policy. The appointment will be for up to 3 years. It is an exciting opportunity for a talented individual to make a major contribution to the development of this field. Deadline 29 January 2018. Apply here: http://lcfi.ac.uk/careers/research-associate-trust-and-transparency/ --- Zoubin Ghahramani University of Cambridge & Uber From tbrown at research.baycrest.org Mon Jan 15 12:51:31 2018 From: tbrown at research.baycrest.org (Tanya Brown) Date: Mon, 15 Jan 2018 12:51:31 -0500 Subject: Connectionists: THE VIRTUAL BRAIN Workshop - NODE#6 Message-ID: www.thevirtualbrain.org/node6 ? ? *Get up to speed about the fundamental principles of full brain network modeling using the open-source neuroinformatics platform The Virtual Brain (TVB).* *- 1 DAY WORKSHOP - * TVB enables biologically realistic modeling of network dynamics using Connectome-based approaches across different brain scales. Generate macroscopic neuroimaging signals including fMRI, intracranial and stereotactic EEG, surface EEG and MEG for single subjects. Personalized brain network models can be derived from an individual?s MRI data. Researchers from different backgrounds can benefit from an integrative software platform including a supporting framework for data management (generation, organization, storage, integration and sharing) and a simulation core written in Python. Applications to use cases in the healthy and diseased brain are explicitly presented. *LOCATION* *Charit? ? Universit?tsmedizin Berlin & Berlin Institute of Health * Charit?platz 1 On Campus: Bonhoefferweg 3, Dept. Neurology Berlin, 10117 Germany *REGISTER HERE * *PROGRAM AT A GLANCE * - *A generative model of the brain; **describing the building blocks of a brain network model* - *Interacting with TVB; **w**orking with the web UI, command line and scripting interfaces* - *Constructing personalized models from empirical data; **learn how to take your own data and model it within the framework of TVB.* - *Brain stimulation in TVB* - *Clinical applications of TVB* - *Hands-on session; **using the GUI and demo scripts to simulate epilepsy, stroke, brain stimulation and a mouse model.* *After the workshop you should have a basic picture of how these models are built, how they work, and what biological properties of a neural system they represent. In addition, we will highlight several research topics that can be explored using this tool.* *The workshop is organized with interleaved oral presentation and hands-on sessions. Attendants will have the time to ask questions. The hands-on sessions will let you immediately apply the concepts from the lectures to your simulations in TVB.* *Refreshments will be available during the breaks and lunch will be provided.* *WORKSHOP HAS LIMITED ATTENDANCE* *Registration closes February 9th ? claim your spot today! * ? *This workshop is organized and hosted by the TVB Team at **Charit? Universit?tsmedizin Berlin **and **Berlin Institute of Health * FOR MORE INFORMATION AND TO REGISTER, PLEASE VISIT US AT: www.thevirtualbrain.org/node6 *If you have any organizational questions,* * please don't hesitate to send an email * *to our local coordinator Paul Triebkorn .* *We look forward to welcoming you,* *?The TVB Team ?* -- *Tanya Brown* Program Manager - The Virtual Brain Rotman Research Institute at Baycrest 416-785-2500 x 2782 tbrown at research.baycrest.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Please forward the news to your colleagues. ****************************************************** * ICCS 2018 * International Conference on Computational Science * Wuxi, China, June 11-13, 2018 * http://www.iccs-meeting.org/iccs2018/ ****************************************************** ---------------------------------- News: ---------------------------------- [1] Main Track submission deadline is extended to January 31, 2018. Please create a new submission now to indicate your interest: https://easychair.org/conferences/?conf=iccs2018 [2] "Short paper" category is introduced for work in progress or student research. Students will enjoy a reduced conference fee. NB: a preferable option for a "short paper" is a "poster" presentation (another category in Easychair submission webpage). [3] 16 thematic workshops complement the Main Track topics. Workshops may have different deadlines, please check the workshop webpages or contact workshop organisers. http://www.iccs-meeting.org/iccs2018/registered-workshops [4] Five keynotes are confirmed: https://www.iccs-meeting.org/iccs2018/keynote-lectures/ - Charlie Catlett, Argonne National Laboratory | University of Chicago, USA - Xiaofei Chen, Southern University of Science and Technology, China - Liesbet Geris, University of Liege | KU Leuven, Belgium - Sarika Jalan, Indian Institute of Technology Indore, India - Petros Koumoutsakos, ETH Zurich, Switzerland ---------------------------------- Publication and indexing ---------------------------------- All accepted papers will be published in the Springer Lecture Notes in Computer Science (LNCS) series and submitted for indexing by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. After the conference, selected papers will be invited to submit extended versions to a special issue of the Journal of Computational Science (Impact Factor: 1.748, 5-Year Impact Factor: 2.009). Our previous special issue: http://www.sciencedirect.com/science/journal/18777503/20 ---------------------------------- Important dates: ---------------------------------- Paper submission deadline: January 31, 2018 Conference sessions: June 11-13, 2018 ---------------------------------- Conference Organisers: ---------------------------------- Local Organisers: Yong Shi (University of Chinese Academy of Sciences, China) Haohuan Fu (National Supercomputing Center in Wuxi, China) Workshop Chair: Michael Harold Lees (University of Amsterdam, The Netherlands) Publicity & Publication Chair: Valeria V. Krzhizhanovskaya (University of Amsterdam, The Netherlands and ITMO University, Russia) Scientific Chair: Peter M.A. Sloot (University of Amsterdam, The Netherlands and Complexity Institute NTU, Singapore) Scientific Co-Chair: Jack Dongarra (University of Tennessee, USA) ---------------------------------- ----- To unsubscribe please send an email to LISTSERV at MLIST.NTU.EDU.SG with the following command in the body of your email: SIGNOFF ICCS or UNSUBSCRIBE ICCS From dominic.ward at surrey.ac.uk Tue Jan 16 03:55:05 2018 From: dominic.ward at surrey.ac.uk (dominic.ward at surrey.ac.uk) Date: Tue, 16 Jan 2018 08:55:05 +0000 Subject: Connectionists: 2nd CFP - SiSEC 2018: Community-Based Signal Separation Evaluation Campaign Message-ID: Dear list, Please see the call for participation in SiSEC 2018 below, sent on behalf of Antoine Liutkus. Thank you ---------------------------------------------- *** SECOND CALL FOR PARTICIPATION *** Community-Based Signal Separation Evaluation Campaign (SiSEC 2018) https://sisec.inria.fr/ Deadline for submission of extended abstract: February, 4th 2018 Deadline for submission of separation results: April, 1st 2018 ---------------------------------------------- A SPECIAL SISEC SESSION WILL TAKE PLACE AT LVA/ICA 2018 There are two options for participating in the conference and presenting your SiSEC contribution: 1. An extended abstract (2 pages max) may be submitted to Antoine Liutkus: antoine [dot] liutkus [at] inria [dot] fr Abstracts will not be included in the LVA/ICA 2018 proceedings, but will give you the opportunity to present your work at the conference. 2. A regular paper may be submitted on the SiSEC track of LVA/ICA (see dates below) See more information at http://cvssp.org/events/lva-ica-2018/ ----------------------------------------------- Following the success of the six previous editions, we are glad to announce the launch of the SiSEC 2018 campaign for the evaluation of source separation algorithms. This campaign is open to anyone, whether you are an expert or a newcomer, and whether your algorithm relies on prior information or not. This year, SiSEC features two audio tasks: 1) Professionally produced music recordings (MUS), Following the success of the previous editions, we worked a lot to improve the music separation task. This year's edition includes: - An augmented dataset, with 100 full songs for training, 50 songs for test, all mixed professionally in stereo, for anyone to use. - This year, all the data is encoded in the Native Instruments STEMS format, yielding only 4.4gb for 150 tracks, while maintaining trans- parent quality. - A set of Python tools to load, parse, and use the dataset easily. An easy-to-use standalone utility is also provided to convert the data to WAV if needed. - Baseline scripts implementing oracle methods, including Ideal Binary Mask, Ideal Ratio Mask, and Multichannel Wiener Filter. - Submission will be automated, and analysis plots will be generated automatically. 2) Asynchronous recordings of speech mixtures (ASY), runs with the same datasets and metrics as SiSEC 2015. Please visit https://sisec.inria.fr/ for further instructions. IMPORTANT DATES Feb 4th 2018 - LVA/ICA 2018 Submission deadline / SiSEC extended abstract Feb 7th 2018 - LVA/ICA Full paper upload deadline Mar 1st 2018 - Submission system for SiSEC open Apr 1st 2018 - Submission of separation results Apr 8th 2018 - Publication of separation results Apr 16th 2018 - LVA/ICA Camera-ready papers deadline Jul 2nd 2018 - LVA/ICA 2018 Summer school Jul 3rd 2018 - LVA/ICA 2018 Conference begins Please register to the mailing list sisec[at]inria.fr at https://sympa.inria.fr/sympa/info/sisec If you have any question, do not hesitate to contact us. Best regards, SiSEC 2018 Chair Antoine Liutkus antoine [dot] liutkus [at] inria [dot] fr PS: We are sorry in case of cross posting. From filippombianchi at gmail.com Tue Jan 16 06:26:58 2018 From: filippombianchi at gmail.com (filippo bianchi) Date: Tue, 16 Jan 2018 12:26:58 +0100 Subject: Connectionists: [Deadline extended] Special Session on Non-Iterative Approaches in Learning (WCCI 2018) Message-ID: *********** Call for Papers *********** *Special session on Non-iterative Approaches in Learning (Including comparative studies with iterative methods)* 2018 IEEE World Congress on Computational Intelligence (WCCI 2018) Rio de Janeiro, BRAZIL, 08-13 July 2018 - http://www.ecomp.poli. br/~wcci2018/ ------------------------------------------------------------ --------------------------------- *DESCRIPTION:* Optimization, which plays a central role in learning, has received considerable attention from academics, researchers, and domain workers. Many optimization problems in machine learning can be tackled with non-iterative approaches, which can be presented in closed-form manner. Those methods are in general computationally faster than iterative solutions and less sensitive to parameter settings. Even though non-iterative methods have attracted much attention in recent years, there exists a performance gap when compared with older methods and other competing paradigms. This special session aims to bridge this gap. The first target of this special session is to present the recent advances of non-iterative solutions in learning. Secondly, the focus is on promoting the concepts of non-iterative optimization with respect to counterparts, such as gradient-based methods and derivative-free iterative optimization techniques. Besides the dissemination of the latest research results on non-iterative algorithms, it is also expected that this special session will cover some practical applications, present some new ideas and identify directions for future studies. Original contributions, comparative studies with both iterative and non-iterative methods are welcome. Typical paradigms include (but not limited to) random vector functional link (RVFL), Echo State Networks (ESN), kernel ridge regression (KRR), random forests (RF), etc? The topics of the special session include, but are not limited to: - Methods with and without randomization - Regression, classification and time series analysis - Kernel methods such as kernel ridge regression, kernel adaptive filters, etc. - Feedforward, recurrent, multilayer, deep and other structures. - Ensemble learning - Moore-Penrose pseudo inverse, SVD and other solution procedures. - Gaussian Process regression - Non-iterative methods for large-scale problems with and without kernels - Theoretical analysis of non-iterative methods - Comparative studies with competing iterative methods - Applications of non-iterative solutions in domains such as power systems, biomedical, finance, signal processing, big data and all other areas *Important Dates* - *1**st** February 2018* ? paper submission deadline - 15th March 2018 ? Paper acceptance notification - 8-13 July 2018 ? IEEE WCCI 2018 conference, Rio de Janeiro, Brazil *Paper Submission* Papers submitted to this Special Session are reviewed according to the same rules as the submissions to the regular sessions of WCCI 2018. Authors who submit papers to this session must follow this link ( http://ieee-cis.org/conferences/ijcnn2018/upload.php?) and select in *"**Main Research topic**"* the option *"**S1. Special Session on Non-iterative Approaches in Learning**"* from the drop-down menu. Submissions to regular and special sessions follow identical format, instructions, deadlines and procedures of the other papers. *Journal Extension* The best papers submitted to the Special Session will be invited for a journal extension within the Special Issue ?*Non-Iterative Learning Approaches and Their Applications*? on the journal Cognitive Computation, Springer (https://link.springer.com/journal/12559). Cognitive Computation (impact factor 3.44) is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles describing original basic and applied work involving bio-inspired computational accounts of all aspects of natural and artificial cognitive systems.? *Organizers* - Dr P. N. Suganthan, Nanyang Technological University, Singapore. epnsugan at ntu.edu.sg - Dr. Filippo Maria Bianchi, UiT the Arctic University of Norway, Troms?, filippo.m.bianchi at uit.no Link to PDF version of CfP: https://drive.google.com/open?id=1LEu22zA2XHXcADEwbedsTmAAW_uSn56l ------------------------------------------------------------------------------------------ Filippo Maria Bianchi, PhD. *Postdoctoral fellow at Machine Learning group,Department of Physics and Technology,UiT The Arctic University of Norway.Homepage: https://sites.google.com/view/filippombianchi/home * -------------- next part -------------- An HTML attachment was scrubbed... URL: From jpezaris at gmail.com Tue Jan 16 10:50:36 2018 From: jpezaris at gmail.com (John Pezaris) Date: Tue, 16 Jan 2018 10:50:36 -0500 Subject: Connectionists: AREADNE 2018 Call for Abstracts Message-ID: AREADNE 2018 Research in Encoding and Decoding of Neural Ensembles Nomikos Conference Centre, Santorini, Greece 20-24 June 2018 http://areadne.org info at areadne.org Dear Colleague, We are pleased to announce solicitation of abstracts for poster presentation at AREADNE 2018, 20-24 June 2018, our seventh meeting to be held at the Nomikos Conference Centre in Santorini, Greece. Continuing with the same highly successful format, AREADNE 2018 will bring scientific leaders from around the world to present their theoretical and experimental work on the functioning of neuronal ensembles. The meeting will provide an informal yet spectacular setting in which attendees can discuss their recent ideas and discoveries, with a relaxed pace that emphasizes interaction. Please see the Call for Abstracts for additional details, including links for templates, at http://areadne.org/call-for-abstracts Submissions of abstracts for poster presentations are due by 9 Feb 2018; notifications will be provided by 13 March 2018. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page http://areadne.org or send email to us at info at areadne.org. We hope to see you at AREADNE 2018! Best, - J. --- John S. Pezaris, Ph.D. AREADNE 2018 Co-Chair Harvard Medical School Massachusetts General Hospital 55 Fruit Street Boston, MA 02114, USA john at areadne.org jpezaris at gmail.com From M.Baltieri at sussex.ac.uk Tue Jan 16 21:38:53 2018 From: M.Baltieri at sussex.ac.uk (Manuel Baltieri) Date: Wed, 17 Jan 2018 11:38:53 +0900 Subject: Connectionists: [meetings] 2nd CFP, Special session - Hybrid Life: Approaches to integrate biological, artificial and cognitive systems, ALife 2018 (Tokyo) References: Message-ID: <541BA9CB-DA55-4EF8-B7AF-0A9DED49478C@sussex.ac.uk> [Apologies for cross-posting] ********** 2nd Call for Papers ********** Special session - Hybrid Life: Approaches to integrate biological, artificial and cognitive systems https://sites.google.com/view/hybrid-life/ 2018 Artificial Life conference (ALife) Tokyo, JAPAN, 23-27 July 2018 - http://2018.alife.org/ Invited panelists: Ryota Kanai, Jun Tani (more to come). --------------------------------------------------------------------------------------------- DESCRIPTION: The main focus of ALife research is the study of natural systems with the goal of understanding what life is. More concretely, ALife defines ways to investigate processes that contribute to the formation and proliferation of living organisms. In this session we focus on three common approaches to tackle this investigation, proposing ways to integrate, extend and possibly improve them. More specifically we refer to: 1) the formalisation of the necessary properties for the definition of life, 2) the implementation of artificial agents, and 3) the study of the relation between life and cognition. For this special session we propose to start from these well-established Alife methodologies, and extend them through: a unified formal language for the description and modelling of living, as well as artificial and cognitive systems, e.g. control theory, Bayesian inference, dynamical systems theory, etc., the exploration of biological creatures enhanced by artificial systems (or artificial systems augmented with organic parts) in order to investigate the boundaries between living and nonliving organisms, and the evaluation of coupled biological-artificial systems that could shed light on the importance of interactions among systems for the study of living and cognitive organisms. This special sessions aims to invite contributions from the fields of psychology, computational neuroscience, HCI, theoretical biology, artificial intelligence, robotics and cognitive science to discuss current research on the formalisation, combination and interaction of artificial/living/cognitive systems from theoretical, modelling and implementational perspectives. Potential topics include, but are not limited to: Formalisation of life and cognition (e.g. dynamical systems theory, stochastic optimal control, Bayesian inference, etc.) Cognitive robotics Autopoiesis Life-mind continuity thesis Systems biology Origins-of-life theories with relationships to artificial and cognitive systems Animal-robot interaction Bio-inspired robotics Bio-integrated robotics Human-machine interaction Augmented cognition Sensory substitution Interactive evolutionary computation Artificial perception PANELISTS: Ryota Kanai Ryota Kanai is a neuroscientist working on the computational principles underlying consciousness and the brain, and the founder and CEO of an AI startup, Araya, Inc. in Tokyo. His goal is to create artificial consciousness using intrinsic motivation, deep neural networks, and integrated information while taking inspirations from neuroscience. He formerly led a cognitive neuroscience lab at the Sackler Centre for Consciousness Science at the University of Sussex, Brighton, UK. Araya Inc.: http://www.araya.org/ Jun Tani Jun Tani is a Full Professor at the Okinawa Institute of Science and Technology (OIST), Okinawa, Japan. He is directing the Cognitive Neurorobotics Research Unit. He has investigated the problem of embodied cognition by applying the predictive coding framework to neurorobotics experimental study for more than 20 years. His study has been summarized in his book, ?Exploring Robotic Minds: Actions, Symbols, and Consciousness as Self-Organizing Dynamic Phenomena." published from Oxford Univ. Press in 2016. CNRU at OIST: https://groups.oist.jp/cnru Important Dates 19th March 2018 ? Paper submission deadline 23rd April 2018 ? Paper acceptance notification 21st May 2018 ? Camera-ready version 23-27th July 2018 ? Artificial Life conference (ALife), Tokyo, Japan Paper Submission Papers and abstracts submitted to this special sessions will be reviewed by a selected group of experts from the a-life community as well as from other areas key to our proposal, specifically chosen for this review process. If you are submitting to a special session you will be given the opportunity to select it during the submission process. Submissions to special sessions follow the same format, instructions and deadlines of regular ALife papers, as specified here http://2018.alife.org/instructions-for-authors/ . Organizers Manuel Baltieri, University of Sussex, Brighton, UK. m.baltieri at sussex.ac.uk Keisuke Suzuki, University of Sussex, Brighton, UK. k.suzuki at sussex.ac.uk Hiroyuki Iizuka, Hokkaido University, Sapporo, Japan hiroyukiiizuka at gmail.com Contacts For questions, enquiries and more information please check our website https://sites.google.com/view/hybrid-life/ or get in touch with Manuel m.baltieri at sussex.ac.uk . All the best, Manuel, Keisuke, Hiro -------------- next part -------------- An HTML attachment was scrubbed... URL: From Laurent.Perrinet at univ-amu.fr Wed Jan 17 04:09:27 2018 From: Laurent.Perrinet at univ-amu.fr (Laurent Perrinet) Date: Wed, 17 Jan 2018 10:09:27 +0100 Subject: Connectionists: Probabilities and Optimal Inference to understand the Brain Message-ID: <6E180D94-F8CC-4618-91A0-57B40D34CA68@univ-amu.fr> Dear colleagues, You are invited to participate to a 2-day workshop on "Probabilities and Optimal Inference to understand the Brain" April 5-6th 2018 at the Institute of Neurosciences Timone in Marseille in the south of France. The workshop will bring together experimentalists and theoreticians working in different fields of neurosciences (perception, motor control, learning and decision making and cognitive disorders) and at different levels on investigation (neuronal physiology, oscillations in cortical activity, behavior...) but all developing models and experimental data interpretations within the Bayesian theoretical framework. The main ambition of the workshop will be not only to provide a phenomenological description on the current applications on the Bayesian optimal inference theory to the neurosciences, but also to open to critical analyses on the advantages and limitations on this type on approach. In particular all speakers will be invited to address the question "In what aspects does the Bayesian or active inference framework push forward our understanding of the brain beyond other theoretical models?" The list of confirmed speakers is: - Dora Angelaki (Baylor College of Medicine) - Rafal Bogacz (University of Oxford) - Fr?d?ric Crevecoeur (Universit? Catholique de Louvain) - Kelly Diederen (University of Cambridge) - Emmanuel Dauc? (INS, Marseille) - Opher Donchin (Ben-Gurion University of the Negev) - Pascal Mamassian (ENS Paris) - Laurent Perrinet (INT, Marseille) - Lionel Rigoux (Max Planck Institute) - David Thura (University of Montreal) - Simone Vossel (Forschungszentrum J?lich & University of Cologne) The full program is attached and also available at https://opt-infer-brain.sciencesconf.org/program/details . In addition we are accepting contributions such as posters, as well as a limited number of short oral presentations by young researchers of the Marseille Neuroscience community related to the workshop's topic. Registration @ https://opt-infer-brain.sciencesconf.org/registration is free but mandatory. Sincerely, The organizing committee : Paul Apicella, Frederic Danion, Nicole Malfait, Anna Montagnini and Laurent Perrinet e-mail : opt-infer-brain at sciencesconf.org ----- Laurent Perrinet - INT (UMR 7289)/CNRS http://invibe.net/LaurentPerrinet -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Bayes-Probabilities & Optimal Inference WS - Program.pdf Type: application/pdf Size: 505965 bytes Desc: not available URL: -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc2018 at gmail.com Wed Jan 17 07:11:23 2018 From: iswc2018 at gmail.com (Maribel Acosta) Date: Wed, 17 Jan 2018 13:11:23 +0100 Subject: Connectionists: [CfP] ISWC 2018 - Workshop and Tutorial Proposals Message-ID: 17th International Semantic Web Conference (ISWC 2018) Monterey, California (USA), October 8-12, 2018 This is an announcement of the ISWC 2018 call for Workshop and Tutorial proposals. The deadline for submissions is on Sunday* **January 21**, 2018* We are very much looking forward to innovative ideas from the subscribers of this list. Website: http://iswc2018.semanticweb.org Facebook: https://www.facebook.com/groups/InternationalSemanticWebConference Twitter: @iswc2018 (https://twitter.com/iswc2018) Important dates: http://iswc2018.semanticweb.org/important-dates/ In this announcement: Workshop and Tutorial proposals: ***second call*** Call for Workshop and Tutorial Proposals =============================== In addition to the regular research program, ISWC 2018 will feature a workshop and tutorial program addressing the diverse interests of its audience. We hereby invite you to submit a tutorial proposal on a topic relevant to the ISWC 2018 audience. Detailed info: http://iswc2018.semanticweb.org/call-for-tutorial-proposals/ Besides tutorials, ISWC will host a number of workshops on topics related to the general theme of the conference. The role of the workshops is to provide a context for a focused and intensive scientific exchange among researchers interested in a particular topic. As such, workshops are the primary venues for the exploration of emerging ideas as well as for the discussion of novel aspects of established research topics. We invite you to submit a proposal for workshops on a topic of interest to ISWC attendees. Detailed info: http://iswc2018.semanticweb.org/call-for-workshop-proposals/ Workshops & Tutorials Chairs * Amrapali Zaveri, Maastricht University, Maastricht, Netherlands * Elena Demidova, L3S Research Center, Leibniz Universit?t Hannover, Hannover, Germany Important Dates for Workshops and Tutorials ================================== Workshop & Tutorial proposals January 21, 2018 Workshop & Tutorial proposals notifications February 15, 2018 Workshop paper submissions due June 1, 2018 Workshop paper notifications sent July 13, 2018 Workshops & Tutorials October 8-9, 2018 Conference October 10-12, 2018 The ISWC Organising Committee (http://iswc2018.semanticweb.org/organization/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.g.a.vervaeke at medisin.uio.no Wed Jan 17 11:34:47 2018 From: k.g.a.vervaeke at medisin.uio.no (Koen Gerard Alois Vervaeke) Date: Wed, 17 Jan 2018 16:34:47 +0000 Subject: Connectionists: PhD and Postdoc positions in Neuroscience in Oslo, Norway Message-ID: PhD and Postdoc positions in Neuroscience are available in the lab of Associate Professor Koen Vervaeke (www.vervaeke-lab.org). The positions are initially funded for a period of 2-3 years and can be extended. The starting date is flexible but preferably between May-September 2018. We are searching for candidates that are interested in cortical circuits. There are two research programs in the lab; Memory and spatial representations in the retrosplenial cortex, and somatosensation in the barrel cortex. We study behaviour and neural activity in trained rodents using custom-build two-photon microscopes, optogenetics, and in-vivo patch clamp electrophysiology. There are three specific projects; 1) Two-photon Bessel beam Ca2+ imaging of spines and dendrites during behaviour, 2) In-vivo patch-clamp or extracellular recording during spatial navigation, and 3) Data analysis of behaviour and neural population activity. There are great long-term career opportunities for postdoc applicants. During the fellowship, candidates with a strong track record will be prepared to apply for a Young Researcher Grant from the Norwegian Research Council, to start their own junior group once the fellowship is finished. Qualifications: For postdocs: We are an interdisciplinary lab looking for candidates from different backgrounds. Candidates must have a proven track record of publications in neuroscience, and should have experience with some of the following disciplines; Electrophysiology, microscopy, optogenetics, data analysis and machine learning, or computational neuroscience. The candidates should be handy, have good programming skills (eg. Matlab/LabVIEW), excel in logical and critical thinking, should be team players and contribute to a positive and optimistic lab atmosphere. Applicants must hold a PhD degree or be close to obtaining their degree. For PhD applicants: Students with a degree in neuroscience, biology, medicine, computer science, physics or engineering are encouraged to apply. Ideally, the applicants have basic experience with some of the following disciplines; Electrophysiology, microscopy, optogenetics or computational neuroscience. The candidates should be handy and be comfortable to work with rodents. To apply, please sent your motivation letter and CV to koenv at medisin.uio.no. We offer: ? Postdoc Salary level NOK 486.100 - 567.100 NOK (~50.000-59.000 euros) per year. * PhD Salary level NOK 432.700 ? 489.300 (~44.000 - 50.000 euros) per year. ? Attractive pension and welfare benefits Koen Vervaeke www.vervaeke-lab.org Domus Medica, University of Oslo Sognsvannsveien 9, 0372 Oslo, Norway Tel. +47 22 85 12 09 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ian.r.oakley at gmail.com Wed Jan 17 18:36:34 2018 From: ian.r.oakley at gmail.com (Ian Oakley) Date: Wed, 17 Jan 2018 23:36:34 +0000 Subject: Connectionists: ICMI 18 Call for Long and Short Papers Message-ID: ********** International Conference on Multimodal Interaction (ICMI) Boulder, Colorado, October 16-20th, 2018 https://icmi.acm.org/2018/ Call for Long and Short Papers Due May 1st, 2018, Reviews June 21st, Rebuttals June 28th, Decisions July 18th. Submission and general info: https://icmi.acm.org/2018/index.php?id=cfp ********** ICMI 2018 Call for Long and Short Papers The 20th International Conference on Multimodal Interaction (ICMI 2018) will be held in Boulder, Colorado. ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The conference focuses on theoretical and empirical foundations, component technologies, and combined multimodal processing techniques that define the field of multimodal interaction analysis, interface design, and system development. We are keen to showcase novel input and output modalities and interactions to the ICMI community. ICMI 2018 will feature a single-track main conference which includes: keynote speakers, technical full and short papers (including oral and poster presentations), demonstrations, exhibits and doctoral spotlight papers. The conference will also feature workshops and grand challenges. The proceedings of ICMI 2018 will be published by ACM as part of their series of International Conference Proceedings and Digital Library. We also want to welcome conference papers from behavioral and social sciences. These papers allow us to understand how technology can be used to increase our scientific knowledge and may focus less on presenting technical or algorithmic novelty. For this reason, the "novelty" criteria used during ICMI 2018 review will be based on two sub-criteria (i.e., scientific novelty and technical novelty as described below). Accepted papers at ICMI 2018 only need to be novel on one of these sub-criteria. In other words, a paper which is strong on scientific knowledge contribution but low on algorithmic novelty should be ranked similarly to a paper that is high on algorithmic novelty but low on knowledge discovery. - Scientific Novelty: Papers should bring some new knowledge to the scientific community. For example, discovering new behavioral markers that are predictive of mental health or how new behavioral patterns relate to children?s interactions during learning. It is the responsibility of the authors to perform a proper literature review and clearly discuss the novelty in the scientific discoveries made in their paper. - Technical Novelty: Papers reviewed with this sub-criterion should include novelty in their computational approach for recognizing, generating or modeling data. Examples include: novelty in the learning and prediction algorithms, in the neural architecture, or in the data representation. Novelty can also be associated to a new usage of an existing approach. Please visit https://icmi.acm.org/2018/ for details on the submission process. This year, ICMI welcomes contributions on our theme of multi-modal understanding of multi-party interactions. Additional topics of interest include but are not limited to: - Affective computing and interaction - Cognitive modeling and multimodal interaction - Gesture, touch and haptics - Healthcare, assistive technologies - Human communication dynamics - Human-robot/agent multimodal interaction - Interaction with smart environment - Machine learning for multimodal interaction - Mobile multimodal systems - Multimodal behavior generation - Multimodal datasets and validation - Multimodal dialogue modeling - Multimodal fusion and representation - Multimodal interactive applications - Speech behaviors in social interaction - System components and multimodal platforms - Visual behaviors in social interaction - Virtual/augmented reality and multimodal interaction Important Dates Long and short paper submission: May 1, 2018 (11:59 PST) Reviews available: June 21, 2018 Rebuttal period: June 28, 2018 Paper notification: July 18, 2018 Paper camera-ready: July 31, 2018 Presenting at main conference: October 16-20, 2018 You might also consider submitting a workshop proposal (due Feb 16, 2018) - see https://icmi.acm.org/2018/index.php?id=cfw for details Sincerely, ICMI 2018 Program co-chairs Marcelo Worsley (Northwestern) Emily Mower Provost (U Michigan) Mohammad Soleymani (U Geneva) -------------- next part -------------- An HTML attachment was scrubbed... URL: From poirazi at imbb.forth.gr Thu Jan 18 05:31:31 2018 From: poirazi at imbb.forth.gr (Yiota Poirazi) Date: Thu, 18 Jan 2018 12:31:31 +0200 Subject: Connectionists: DENDRITES 2018 Call for Abstracts Message-ID: DENDRITES 2018 EMBO Workshop on Dendritic Anatomy, Molecules and Function Heraklion, Crete, Greece 17-20 June 2018 http://meetings.embo.org/event/18-dendrite *Organizing committee:* Yiota Poirazi, IMBB-FORTH Erin Schuman, MPI for Brain Research Michael H?usser, UCL Matthew Larkum, Humboldt University Dear Colleagues, We are pleased to announce solicitation of abstracts for short oral or poster presentation at the EMBO Workshop on DENDRITES 2018, that will take place in Heraklion, Crete on 17-20 June 2018. This is the 3rd of a very successful series of meetings on the island of Crete that is dedicated to dendrites. The meeting will bring together scientific leaders from around the globe to present their theoretical, hardware and experimental work on dendrites. The meeting program is designed to facilitate discussions of new ideas and discoveries, in a relaxed atmosphere that emphasizes interaction. Please register and submit your abstract online at: http://meetings.embo.org/event/18-dendrite Submissions of abstracts are due by February 15, 2018. Notifications will be provided by March 10, 2018. Potential attendees are strongly encouraged to submit an abstract as presenters will have registration priority. For more information about the conference, please refer to our web site or send email to info at mitos.com.gr We look forward to seeing you at DENDRITES 2018! on behalf of the organizing committee, Yiota Poirazi ps: Please note that DENDRITES 2018 is followed by AREADNE 2018 , June 20-24, a highly successful meeting on neural encoding that takes place in the nearby island of Santorini. -- Panayiota Poirazi, Ph.D. Research Director Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 ?mail: poirazi at imbb.forth.gr Lab site: www.dendrites.gr FENS-Kavli Network of Excellence -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Thu Jan 18 06:18:49 2018 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Thu, 18 Jan 2018 11:18:49 +0000 Subject: Connectionists: Research Fellows in Audio Source Separation and Perceptual Audio (deadline: 24 Jan 2018) Message-ID: Dear Connectionists, Please forward the job opportunities below to anyone who may be interested... deadline approaching! Many thanks, Mark ---------------------------------------------------------------- Research Fellows in Audio Source Separation and Perceptual Audio Evaluation University of Surrey, UK Salary: GBP 30,688 to GBP 38,833 per annum Closing Date: 24 January 2018 (23:59 GMT) Applications are invited for two Research Fellow posts: (a) Research Fellow in Source Separation for Musical Audio Repurposing https://jobs.surrey.ac.uk/107017 (b) Research Fellow in Perceptual Audio Evaluation https://jobs.surrey.ac.uk/107117 These are to work full-time on an EPSRC funded project "Musical Audio Repurposing using Source Separation" (https://cvssp.github.io/maruss-website/) from 1 February 2018 to 31 July 2018. This project is tackling the challenge of high quality musical audio repurposing, focussing on soloing, desoloing, remixing and upmixing. The project is investigating new methods for musical audio source separation, in parallel with investigating new perceptual evaluation measures for audio source separation. For the Research Fellow in Source Separation for Musical Audio Repurposing: The candidate will be responsible for investigating and developing new and enhanced methods for high quality musical audio source separation. These may include methods based on deep learning, score-informed musical source separation, non-negative matrix factorisation (NMF), and interactive methods employing user feedback. The candidate will be working as part of a team, with other researchers focussing on perceptual evaluation methods and software development of open-source research tools. The successful applicant is expected to have a PhD in electronic engineering, computer science or a related subject, and is expected to have research experience in audio signal processing and machine learning. Research experience in one or more of the following is desirable: audio source separation, audio upmixing, musical audio processing, non-negative matrix factorization (NMF) and/or deep learning. Experience in programming in one or more of Max/MSP, PureData, Python, C++ and/or MATLAB will be an advantage, as will academic publications in a relevant area. For Research Fellow in Perceptual Audio Evaluation: The candidate will be responsible for perceptually evaluating the results of musical audio separation and repurposing. This will involve preparing and conducting subjective experiments, analysing the results, and comparing these with extant metrics and perceptual models. The candidate will make use of the resulting data to either refine or develop new metrics or perceptual models to aid the development and evaluation of musical source separation and repurposing algorithms. The successful applicant will have undertaken doctoral level research in experimental/applied psychoacoustics or similar and will have expertise in psychoacoustics, with an understanding of factors likely to be related to source separation and audio repurposing. Skills in and experience of the following are essential: the design and execution of listening-based subjective experiments; and statistical analysis and modeling. Also essential are strong writing skills for audiences of varying levels of technical expertise, and the ability to work independently and manage time effectively. A background in programming in one or more of Max/MSP, PureData, Python, C++ and/or MATLAB will be an advantage. Specific skills in source separation and audio repurposing and the development of related perceptual models will also be an advantage, as will academic publications in a relevant area. The project is led by Prof Mark Plumbley in the Machine Audition Lab of the Centre for Vision Speech and Signal Processing (CVSSP), and this posts will be jointly supervised by Dr Russell Mason in the Institute of Sound Recording (IoSR). CVSSP (https://www.surrey.ac.uk/cvssp) is one of the largest groups of its type in the UK, with over 120 active researchers working in the areas of vision, image processing, and audio, and a grant portfolio of over ?12M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio, and video and audio capture facilities supporting research in real-time video and audio processing and visualisation. The IoSR (http://iosr.surrey.ac.uk/) is a leading centre for research in psychoacoustic engineering, as well as being home to the Tonmeister undergraduate degree programme. It has a focused team of 12 researchers, plus several industrial collaborators, and a range of professional facilities of the highest standards, including three recording studios and an ITU-R BS 1116 standard critical listening room. Informal enquires are welcome, to: Prof Mark Plumbley (m.plumbley at surrey.ac.uk) or Dr Russell Mason (r.mason at surrey.ac.uk). For more information and to apply online, please visit: (a) Research Fellow in Source Separation for Musical Audio Repurposing https://jobs.surrey.ac.uk/107017 (b) Research Fellow in Perceptual Audio Evaluation https://jobs.surrey.ac.uk/107117 We acknowledge, understand and embrace diversity. -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk ================================================================================ LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 Paper submission deadline: February 4, 2018 (Full paper upload by February 7) ================================================================================ From J.Bowers at bristol.ac.uk Thu Jan 18 07:31:04 2018 From: J.Bowers at bristol.ac.uk (Jeffrey Bowers) Date: Thu, 18 Jan 2018 12:31:04 +0000 Subject: Connectionists: =?windows-1252?q?Senior_Research_Associate_=96_Un?= =?windows-1252?q?iversity_of_Bristol=2C_UK=2E?= Message-ID: Senior Research Associate ? University of Bristol, UK. This five year ERC-funded project entitled ?Generalisation in Mind and Machine? explores how well neural networks support human-like generalisation across a range of tasks. Over the course of the grant there will be four post-doctoral fellows involved in modelling, one research assistant involved in empirical work, and two PhD students. This is one of three modelling posts that runs for three years. I am looking to hire someone with a PhD in computer science or cognitive psychology (or related field) who has experience working with neural networks. In contrast with the large community of researchers focused on improving the performance of deep networks for applied reasons, the goal of this project is to explore what neural networks tell us about how the brain works. More specifically, the team will be working on questions of generalisation in the domains of object identification, word identification, short-term memory, and games, amongst other areas. This research is related to my previous and ongoing research that explores why and when artificial neural networks learn localist "grandmother cell" representations with the goal to better understand why some neurons respond to high-level information in a highly selective manner. You can find more information about my research and download papers at: https://jeffbowers.blogs.ilrt.org/research/ This post is available from 1st May 2018 (but somewhat flexible about start date) and the closing date for applications is Thursday 15th March 2018. For informal enquiries please contact Professor Jeffrey Bowers - J.Bowers at bristol.ac.uk. For more information and to apply, please visit: http://www.jobs.ac.uk/job/BHB793/erc-senior-research-associate -------------- next part -------------- An HTML attachment was scrubbed... URL: From neurotechnix at insticc.info Thu Jan 18 11:14:52 2018 From: neurotechnix at insticc.info (neurotechnix at insticc.info) Date: 18 Jan 2018 16:14:52 +0000 Subject: Connectionists: CFP NEUROTECHNIX 2018 - 6th Int.l Congress on Neurotechnology, Electronics and Informatics (Seville/Spain) Message-ID: <20180118161457.1.8843FC6E047F3CBC@insticc.info> SUBMISSION DEADLINE 6th International Congress on Neurotechnology, Electronics and Informatics Submission Deadline: May 2, 2018 http://www.neurotechnix.org/ September 20 - 21, 2018 Seville, Spain. NEUROTECHNIX is organized in 4 major tracks: - Neural Rehabilitation and Neuroprosthetics - Neuroimaging and Neurosensing - Neuroinformatics and Neurocomputing - Neuromodulation and Neural Engineering A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, NEUROTECHNIX Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 100 033 Fax: +351 265 520 186 Web: http://www.neurotechnix.org/ e-mail: neurotechnix.secretariat at insticc.org From nq6 at cumc.columbia.edu Thu Jan 18 13:13:35 2018 From: nq6 at cumc.columbia.edu (Qian, Ning) Date: Thu, 18 Jan 2018 18:13:35 +0000 Subject: Connectionists: postdoc position in computational neuroscience/visual psychophysics at Columbia Message-ID: A postdoctoral position in computational neuroscience and/or visual psychophysics is available at Columbia University, New York, in the Department of Neuroscience and Zuckerman Mind Brain Behavior Institute, housed in the new J L Green building where many computational and systems neuroscience labs are located. The postdoc will work with Drs. Misha Tsodyks and Ning Qian on a project investigating interactions between perceptual decoding and working memory and/or the related visual psychophysical tests. Candidates with a strong background in computational neuroscience, visual psychophysics, or a related field are encouraged to apply. The position is available immediately but the starting time can be discussed. Applications will be reviewed as they arrive, until the position is filled. The initial appointment is for one year with the possibility of renewal. The salary follows Columbia University's standard, which is well above the NIH postdoctoral salary scale. Please send your CV, representative publications, and names of two or three referees to nq6 at columbia.edu. Informal inquiries are also welcome. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ijcci at insticc.info Thu Jan 18 11:15:21 2018 From: ijcci at insticc.info (ijcci at insticc.info) Date: 18 Jan 2018 16:15:21 +0000 Subject: Connectionists: CFP IJCCI 2018 - 10th Int.l Joint Conf. on Computational Intelligence (Seville/Spain) Message-ID: <20180118161524.1.299CBC9A58465A4B@insticc.info> SUBMISSION DEADLINE 10th International Joint Conference on Computational Intelligence Submission Deadline: May 2, 2018 http://www.ijcci.org/ September 18 - 20, 2018 Seville, Spain. IJCCI is organized in 4 major tracks: - Evolutionary Computation - Fuzzy Computation - Neural Computation - Cognitive and Hybrid Systems A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, IJCCI Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 100 033 Fax: +351 265 520 186 Web: http://www.ijcci.org/ e-mail: ijcci.secretariat at insticc.org From phycs at insticc.info Thu Jan 18 11:15:45 2018 From: phycs at insticc.info (phycs at insticc.info) Date: 18 Jan 2018 16:15:45 +0000 Subject: Connectionists: CFP PhyCS 2018 - 5th Int.l Conf. on Physiological Computing Systems (Seville/Spain) Message-ID: <20180118161549.1.961E71C59841B496@insticc.info> SUBMISSION DEADLINE 5th International Conference on Physiological Computing Systems Submission Deadline: May 2, 2018 http://www.phycs.org/ September 19 - 21, 2018 Seville, Spain. PhyCS is organized in 4 major tracks: - Devices - Methodologies and Methods - Human Factors - Applications With the presence of internationally distinguished keynote speakers: Eduardo Rocon, Consejo Superior de Investigaciones Cient?ficas, Spain Lucas Noldus, Noldus Information Technology bv, Netherlands A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, PhyCS Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.phycs.org/ e-mail: phycs.secretariat at insticc.org From alb.mazzoni at gmail.com Thu Jan 18 16:16:28 2018 From: alb.mazzoni at gmail.com (Alberto Mazzoni) Date: Thu, 18 Jan 2018 22:16:28 +0100 Subject: Connectionists: ICNR2018 - FIRST ANNOUNCEMENT & CALL FOR PAPERS, SPECIAL SESSIONS and WORKSHOPS Message-ID: --------------------------------------------------------------------------------------------- We apologize if you receive multiple copies of this announcement --------------------------------------------------------------------------------------------- The International Conference on NeuroRehabilitation (ICNR2018) Pisa, Italy October 16-20 http://www.icnr2018.org info at icnr2018.org On behalf of all the organizers, it is our pleasure to invite you to the genuine International Conference on NeuroRehabilitation (ICNR2018) that will take place in Pisa (Italy) in October 16-20, 2018. Please, visit the website at http://www.icnr2018.org . The 2018 International Conference on Neurorehabilitation will bring together researchers and students from the fields of Motor Control, Neurtotechnologies, Clinical Rehabilitation, Applied Neurophysiology, Biomedical Engineering and Neuromechanics to promote, feed and encourage a technology-based therapeutic global shift. On this occasion, ICNR2018 will be held in parallel at the same venue with The International Symposium on Wearable Robotics (WeRob2018). Please, visit the website at http://www.werob2018.org . We are looking forward to welcoming you in Pisa on October 2018! --------------------------------------------------------------------------------------------------------- *- Call for Special sessions-* ICNR2018 seeks to provide focused discussions on new topics and innovative applications of established approaches during the conference. Therefore, the organization of Special Sessions is encouraged. March 15 is the final deadline for Special Session Proposals submission. *- Call for Workshops-* ICNR2018 seeks to provide an extensive program of workshops to be held prior the conference. Proposals that address topics related to the conference theme are welcome. We invite proposals for half-day or full-day workshops. March 15 is the final deadline for Workshop Proposals submission. *- Submission of contributions-* Extended abstract (2 pages) contributions are welcome. April 15 is the final deadline for extended abstracts. All contributions will be peer reviewed. Accepted contributions will appear in Conference Proceedings. After a selection process, accepted articles will be announced to authors on June 15, 2018. *- Important Deadlines -* Special session proposal submission deadline: March 15, 2018 Workshops proposal submission deadline: March 15, 2018 Contributions submission deadline: April 15, 2018 Notification to authors: June 15, 2018 Authors registration deadline: July 1, 2018 Final version submission: July 15, 2018 Early registration: July 1, 2018 *- Registration Fees -* Early student (until July 1): 300? Early regular (until July 1): 550? Early Single day student (until July 1, 2018): 200? Early Single day regular (until July 1, 2018): 300? Student: 450? Regular: 750? Single day student: 300? Single day regular: 450? *- Confirmed Plenary speakers -* Michael Goldfard (Vanderbilt University) Maria Chiara Carrozza (SSSA) Katja Mombaur (Heidelberg University) Herman van der Kooij (University of Twente) (tentative) Oskar Aszmann (Medical University of Vienna) (tentative) Hugh Herr (MIT) (tentative) Mitsuo KAWATO (ATR) *- Logistics -* ICNR obtained special rates for accommodation with hotels nearby the conference venue. During the conference, transportation services will be facilitated between these hotels and the venue. For updated information on accommodation, trasportation and conference venue please visit our website frequently. --------------------------------------------------------------------------------------------- For further and up-to-date information, please visit the conference website: http://www.icnr2018.org Prof. Jos? L. Pons & Prof. Silvestro Micera Co-Chairs ICNR2018 http://www.ICNR2018.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From wasa2018 at pmf.uns.ac.rs Fri Jan 19 04:24:58 2018 From: wasa2018 at pmf.uns.ac.rs (wasa2018 at pmf.uns.ac.rs) Date: Fri, 19 Jan 2018 10:24:58 +0100 Subject: Connectionists: 8th Workshop on Applications of Software Agents - Novi Sad, Serbia, June 25-27, 2018 Message-ID: <36e82025402ae2da00ccc47cadbb3519@pmf.uns.ac.rs> 8th Workshop on Applications of Software Agents - WASA 2018 in conjunction with 8th International Conference on Web Intelligence, Mining and Semantics - WIMS 2018 https://wims2018.pmf.uns.ac.rs/ ----------------------------------------------------------- https://perun.pmf.uns.ac.rs/events/wasa2018/index.html Novi Sad, Serbia, June 25-27, 2018 Workshop Description -------------------- Software agent technologies reached a certain level of maturity that allows development of applications spanning from lab prototypes to mature real-life systems, in domains that could have not been imagined before. Furthermore, software agent technologies proved their usefulness in synergy with methods of intelligent computing and artificial intelligence. The aim of the WASA workshop is to contribute to the advancement of technologies and applications of software agents' with a special interest in intelligent computing including, but not limited to: reasoning, semantics, pattern recognition, learning and cognition, etc. The workshop welcomes papers addressing research and experience reports on various applications of software agents. Papers describing finalized research, as well as work-in-progress, are welcome. The topics of the workshop cover, broadly understood, software agent and intelligent technologies connected to applications and experiences in areas like: - e-business - social networks - e-learning - grid and cloud computing - gaming - smart environments - e-health - multimedia - disaster and crisis management - virtual organizations - simulation - energy conservation - sustainability and green computing - planning and decision making - traffic control - image and video understanding - manufacturing and industrial management etc. (but this list is not exhaustive). Program Chairs -------------- Mirjana Ivanovic, University of Novi Sad, Serbia Maria Ganzha, University of Gdansk and IBS PAN, Poland Program Co-chairs ----------------- Marcin Paprzycki, IBS PAN and WSM, Poland Costin Badica, University of Craiova, Romania Program Committee Members (tentative) ------------------------- Amelia Badica, University of Craiova, Romania Olivier Boissier, ENS Mines Saint-Etienne, France Paolo Bresciani, FBK, Italy Marius Brezovan, University of Craiova, Romania Mihaela Colhon, University of Craiova, Romania Weihui Dai, Fudan University, China Giancarlo Fortino, University of Calabria, Italy Adrian Groza, Technical University of Cluj-Napoca, Romania Galina Ilieva, University of Plovdiv "Paisii Hilendarsky", Bulgaria Nicolae Jascanu, "Dunarea de Jos" University of Galati, Romania Gordan Jezic, University of Zagreb, Croatia Syst? Kari, Tampere University of Technology, Finland Petros Kefalas, University of Sheffield International Faculty, CITY College, Thessaloniki, Greece Florin Leon, Technical University "Gheorghe Asachi" of Iasi, Romania, Marin Lujak, University Rey Juan Carlos, Spain Viorel Negru, West University of Timisoara, Romania Andrea Omicini, University of Bologna, Italy Agostino Poggi, University of Parma, Italy Ilias Sakellariou, University of Macedonia, Greece Denis Trcek, University of Ljubljana, Slovenia Important Dates --------------- Submission of papers to WASA: February 7, 2018 Notification of acceptance: March 25, 2018 Camera-ready papers: April 25, 2018 Paper registration: April 25, 2018 Workshop: June 25-27, 2018 Post-conference publication --------------------------- A selection of the best papers accepted and presented at WASA'2018 will be invited for extension and possible inclusion (subject to an additional review process) into a Special Issue of an internationally recognized journals: 1. ComSIS - Computer Science and Information Systems Journal, Two-year impact factor (2016): 0.837., http://www.comsis.org/ 2. Information Technology And Control, Impact factor (2016): 0.475, http://itc.ktu.lt/index.php/ITC/ Previous editions ----------------- 7th Workshop on Applications of Software Agents - WASA 2017 http://perun.pmf.uns.ac.rs/events/wasa2017/ 6th Workshop on Applications of Software Agents - WASA 2016 http://perun.pmf.uns.ac.rs/events/wasa2015/ 5th Workshop on Applications of Software Agents - WASA 2015 http://perun.pmf.uns.ac.rs/events/wasa2015/ 4th Workshop on Applications of Software Agents - WASA 2014 http://perun.pmf.uns.ac.rs/events/wasa2014/ 3rd Workshop on Applications of Software Agents - WASA 2013 http://perun.pmf.uns.ac.rs/events/wasa2013/ 2nd Workshop on Applications of Software Agents - WASA 2012 http://perun.pmf.uns.ac.rs/events/wasa2012/ 1st Workshop on Applications of Software Agents - WASA 2011 http://perun.pmf.uns.ac.rs/events/wsagents/ From J.deGreeff at tudelft.nl Fri Jan 19 06:07:48 2018 From: J.deGreeff at tudelft.nl (Joachim de Greeff) Date: Fri, 19 Jan 2018 12:07:48 +0100 Subject: Connectionists: Deadline extension (February 9) for the HRI-2018 Workshop on *Longitudinal Human-Robot Teaming* Message-ID: Due to multiple requests, we have extended the deadline. The new dates are: *Extended submission deadline: February 9, 2018* *Acceptance notification: February 23, 2018* *Camera-ready deadline: March 2, 2018* HRI-2018 Workshop on *Longitudinal Human-Robot Teaming* ===================================================================== HRI-2018 Workshop -- Longitudinal Human-Robot Teaming March 5, 2018 -- Chicago, IL, USA Website: http://bradhayes.info/hri18/ Submission deadline: January 19, 2018 Contact: J.deGreeff at tudelft.nl ===================================================================== Overview ===================================================================== As robots that share working and living environments with humans proliferate, Human-Robot Teaming (HRT) is becoming more relevant every day. HRT does not happen in just one moment, but extends and develops over time. Long-term joint activity is bound to face changes in the environment, possibly changes in the (structure of) the team and/or in the way that tasks are performed and in the expectations that team members have of each other and their teaming. As a team faces different situations it accumulates experience and this allows it to grow. Longitudinal HRT, i.e. teaming which develops over time, is still relatively under-explored as most studies of HRT focus on teaming which happens in the ?now?. For many domains however, the notion of changes over time is very relevant. Examples include disaster response, public safety, education, and manufacturing, but also emerging fields such as autonomous vehicles. So, how do robots and other artificial agents deal with teamwork from a long-term perspective? How to enable them to track experience in changing conditions, learn from it and adapt to new situations? Models of HRT need to incorporate the time dimension to allow cooperation dynamics to be shaped by a changing environment. Development over time brings about various levels of uncertainty, as many real-life situations are only predictable up to a certain point. Thus, uncertainty poses additional challenges for sustaining effective teaming between humans and robots. Uncertainty can also exist in the spatial environment in which teamwork takes place, and in the interaction between team-members. Topics of interest ===================================================================== Topics include, but are not limited to: - Dealing with changes over time (e.g. task and team structures, goals, etc) - Dealing with uncertainty about the environments (both spatial and social) - Learning and adaptation over time to become an effective team-member - Learning capability boundaries of an autonomous system for optimized task division - Learning user models over time for enabling personalized interaction - Joint activity planning under uncertainty - Designing for long-term interdependence within human-robot teams - Understanding, modeling, and shaping long-term team dynamics in mixed human-robot teams - Collaborator action and sustainable preference modeling - Generating verbal and non-verbal acts for management and coordination of team activities developing over time - Leveraging human-robot interaction to request assistance or to recover from failure modes Keynote Speaker ===================================================================== * Robin Murphy * Raytheon Professor of Computer Science and Engineering at Texas A&M University and Director of TEES Center for Robot-Assisted Search and Rescue (CRASAR) and the Center for Emergency Informatics Submission details ===================================================================== We will accept contributed papers as either extended abstracts/short papers (2-4 pages), industry white papers (2 pages), position papers (up to 8 pages), or technical papers (up to 8 pages). Each paper will be assigned two reviewers that will evaluate the submission based on significance, technical quality, and relevance. All papers should be submitted in PDF format using the HRI LBR template (see http://humanrobotinteraction.org/2018/lbr), and should be sent to longitudinal.teaming at gmail.com. All submitted papers within the scope of the workshop will be peer-reviewed. Papers will be selected based on their originality, relevance, contributions, technical clarity, and presentation. Accepted papers will require that at least one author registers for and attends the workshop. Details are available on the workshop?s website: http://bradhayes.info/hri18/ Important dates ===================================================================== Extended submission deadline: February 9, 2018 Acceptance notification: February 23, 2018 Camera-ready deadline: March 2, 2018 Workshop: March 5, 2018, 8am to 12.30pm Organizers ===================================================================== - Joachim de Greeff, Delft University of Technology, the Netherlands - Jurriaan van Diggelen, TNO the Netherlands, the Netherlands - Bradley Hayes, University of Colorado Boulder, USA - Ivana Kruijff-Korbayov?, DFKI, Germany Program Committee: - Koen Hindriks, Delft University of Technology, the Netherlands - Matthew Johnson, IHMC, USA - Catholijn Jonker, Delft University of Technology, the Netherlands - Mark Neerincx, Delft University of Technology/TNO, the Netherlands - Matthew Gombolay, Georgia Institute of Technology, the Netherlands - Melissa Cefkin, Nissan USA, the Netherlands - Joachim de Greeff, Delft University of Technology, the Netherlands - Jurriaan van Diggelen, TNO Human Factors, the Netherlands - Bradley Hayes, University of Colorado Boulder, USA - Ivana Kruijff-Korbayova, DFKI, Germany -- ______________________________________________ Dr Joachim de Greeff - Postdoctoral researcher EU FP7 TRADR project (http://tradr-project.eu) Interactive Intelligence group Delft University of Technology EWI / EEMCS - room HB 12.240 Mekelweg 4, 2628 CD, Delft Delft, The Netherlands http://joachimdegreeff.eu ______________________________________________ From veronica.bolon at udc.es Fri Jan 19 07:40:44 2018 From: veronica.bolon at udc.es (=?utf-8?Q?Ver=C3=B3nica_Bol=C3=B3n?=) Date: Fri, 19 Jan 2018 13:40:44 +0100 Subject: Connectionists: 3rd CFP for ICIAR 2018 Special Session on "Big Visual Data: Challenges and Applications" -- DEADLINE EXTENDED Message-ID: <16E255CC-8DB3-4753-89E1-F9BE7B3FD5CB@udc.es> [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Big Visual Data: Challenges and Applications" at ICIAR 2018 ? DEADLINE EXTENDED 15th International Conference on Image Analysis and Recognition (ICIAR 2018) June 27-29, 2018 - P?voa de Varzim (Portugal) - https://www.aimiconf.org/iciar18/ Big Visual Data: Challenges and Applications Organized by: Beatriz Remeseiro (University of Oviedo, Spain), Veronica Bolon-Canedo (University of A Coru?a, Spain), Martin Kampel (Vienna University of Technology, Austria) Visual data is massively stored and processed by different agents in the industrial world, whilst people have changed the way in which they acquire and transmit both images and videos as part of their daily routines. This unprecedented amount of visual data has created new research opportunities and technological challenges. In this context, the combination of computer vision and big data has become an active area of research finding success in many different domains. This special session is focused on large scale computer vision algorithms and large scale machine learning techniques that address the problems derived from the increasing visual data availability. Additionally, it pursues to offer a meeting opportunity for academics and researchers to present their cutting-edge approaches to deal with large scale vision problems and identify unique challenges that need to be faced. We invite authors to contribute with their recent advances derived from the availability of huge amounts of visual data, as well as review papers with the state-of-art techniques and the open challenges encountered in this field. In particular, topics of interest include, but are not limited to: Novel algorithms able to understand big visual data and exploit noisy annotations. Scalable algorithms and efficient methods that can handle big visual data. Visual models and feature representations of images and videos. Deep learning algorithms applied to solve image analysis and recognition problems. Benchmarks, datasets or data repositories with large volumes of visual data. Applications and services: multimedia technologies, medical informatics, video surveillance, marking, etc. SUBMISSION PROCEDURE: Authors are invited to submit full papers showing original research contributions. The conference proceedings will be published in the Springer Lecture Notes in Computer Science series (Springer LNCS). Prospective authors should submit an electronic copy of their complete manuscript through the ICIAR 2018 submission system by February 1, 2018, selecting the special session topic in their submission. All submitted papers will be reviewed by at least two independent reviewers. For more information please go to https://www.aimiconf.org/iciar18 . IMPORTANT DATES: Paper submission deadline: February 1, 2018 Author notification: March 12, 2018 Camera-ready version: March 26, 2018 Paper registration: April 2, 2018 ICIAR conference: June 27-29, 2018 PROGRAM COMMITTEE: Brais Cancela, INESC TEC, Portugal Javier Traver, Universitat Jaume I, Spain Mariella Dimiccoli, Universitat de Barcelona, Spain Nicola Strisciuglio, University of Groningen, Netherlands Noelia Barreira, Universidade da Coru?a, Spain Peter Roth, Graz University of Technology, Austria Robert Sablatnig, Vienna University of Technology, Austria Ver?nica Bol?n Canedo, PhD Grupo LIDIA Departamento de Computaci?n Facultad de Inform?tica Universidade da Coru?a Campus de Elvi?a, s/n 15071 - A Coru?a, Spain Phone: +34 981 167150 Ext. 6007 Fax: +34 981 167160 e-mail: veronica.bolon at udc.es http://www.lidiagroup.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Fri Jan 19 10:01:05 2018 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Fri, 19 Jan 2018 16:01:05 +0100 Subject: Connectionists: CfP - Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC) at WETICE 2018 Message-ID: <9a167507-6041-a56e-b765-2c6f0c6f2da9@unimore.it> *16th Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC)* Track?at IEEE WETICE 2018 Paris, France, June 27-29, 2018 http://didattica.agentgroup.unimore.it/ACEC2018 Call for Papers *Aims and Scope* Over its 15 years in existence, ACEC has focused on worksthat explorethe adaptability, autonomy and intelligence of software agents for the collaboration across the enterprise. In 2018,?organizers would like to continue to explore the research on agent-based computing, but they would also?welcome works that leverage advanced adaptive techniques, non necessarily based on software agents. In addition to the?traditional domain areas, i.e., Computer Supported Collaborative Work, Workflow and Supply Chain Management, Automation in Virtual Enterprises, and Automated Distributed Service Composition, ACEC isalso interested in new adaptive techniques, e.g.,?Cloud Computing, Crowd-Sourcing and?Social Networking. In addition to traditional papers, the forthcoming 16th episode of ACEC welcomes papers from two focus areas: * Adaptive and Agent-based Services * Adaptive Techniques for Organizational/Enterprise Use of Emerging Web Paradigms (Cloud, Crowd-sourcing, Mobile Apps) Such two themes represent important areas where software agents can leverage their distributed nature,along with their proactive and autonomous characteristics, to provide solutions to?complex problems, which are difficult to solveusing traditional/existing technologies. * * *Topics of Interest* Topics of interest include, but are not limited to: * Adaptive and/or agent-mediated workflow, supply chain, and virtual enterprises * Methodologies, languages and tools to support agent collaboration * Agent architectures and infrastructures for dynamic collaboration * Adaptive and/or Agent-based service architectures and infrastructures * Service Oriented Architectures (SOAs) based on agents * Services for dynamic agent collaboration * Agent-to-Human service interactions * Autonomous, Adaptive and/or Agent-mediated service integration * Organizational and enterprise systems that leverage the Web 2.0 * Adaptive and Agent-mediated cloud environments * * *Important Dates* * Paper submission: *March 2, 2018* * Notification:*April 8, 2018* * Camera ready: *April 13, 2018* * Registration: *April 13, 2018* * Conference:*June 27-29, 2018* * * *Paper Submission* Papers should contain original contributions (not published or submitted elsewhere) and references to related state-of-the art work. Please submit your papers in PDF or PS format. Papers up to 6 pages (including figures, tables and references) can be submitted. Papers should follow the IEEE format, which is single-spaced, two columns, 10pt Times/Roman font. Papers should include a title, the name and affiliation of each author, an abstract of up to 150 words and no more than eight keywords. All submitted papers will be peer-reviewed by a minimum of three program committee members. The accepted papers will be published in the post-conference proceedings (to be published by the IEEE Computer Society Press). Authors of accepted papers must present their papers at the conference. *At least one author for each accepted paper should register and attend WETICE 2018 to have the paper published in the proceedings.* The paper submission procedure is carried out using the EasyChair conference management system: https://www.easychair.org/conferences/?conf=wetice2018 * * *Track Chairs* * Stefania Monica, Universit? degli Studi di Parma, Italy * Federico Bergenti, Universit? degli Studi di Parma, Italy * M. Brian Blake, Drexel University, USA * Giacomo Cabri, Universit? degli Studi di Modena e Reggio Emilia, Italy * Usman Wajid, The University of Manchester, UK From poirazi at imbb.forth.gr Fri Jan 19 11:17:44 2018 From: poirazi at imbb.forth.gr (Yiota Poirazi) Date: Fri, 19 Jan 2018 18:17:44 +0200 Subject: Connectionists: DENDRITES 2018 Call for Abstracts Message-ID: DENDRITES 2018 EMBO Workshop on Dendritic Anatomy, Molecules and Function Heraklion, Crete, Greece 17-20 June 2018 http://meetings.embo.org/event/18-dendrite *Organizing committee:* Yiota Poirazi, IMBB-FORTH Erin Schuman, MPI for Brain Research Michael H?usser, UCL Matthew Larkum, Humboldt University Dear Colleagues, We are pleased to announce solicitation of abstracts for short oral or poster presentation at the EMBO Workshop on DENDRITES 2018, that will take place in Heraklion, Crete on 17-20 June 2018. This is the 3rd of a very successful series of meetings on the island of Crete that is dedicated to dendrites. The meeting will bring together scientific leaders from around the globe to present their theoretical, hardware and experimental work on dendrites. The meeting program is designed to facilitate discussions of new ideas and discoveries, in a relaxed atmosphere that emphasizes interaction. Please register and submit your abstract online at: http://meetings.embo.org/event/18-dendrite Submissions of abstracts are due by February 15, 2018. Notifications will be provided by March 10, 2018. Potential attendees are strongly encouraged to submit an abstract as presenters will have registration priority. For more information about the conference, please refer to our web site or send email to info at mitos.com.gr We look forward to seeing you at DENDRITES 2018! on behalf of the organizing committee, Yiota Poirazi ps: Please note that DENDRITES 2018 is followed by AREADNE 2018 , June 20-24, a highly successful meeting on neural encoding that takes place in the nearby island of Santorini. -- Panayiota Poirazi, Ph.D. Research Director Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 ?mail: poirazi at imbb.forth.gr Lab site: www.dendrites.gr FENS-Kavli Network of Excellence -- Panayiota Poirazi, Ph.D. Research Director Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 ?mail: poirazi at imbb.forth.gr Lab site: www.dendrites.gr FENS-Kavli Network of Excellence -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.K.Seth at sussex.ac.uk Fri Jan 19 16:16:34 2018 From: A.K.Seth at sussex.ac.uk (Anil Seth) Date: Fri, 19 Jan 2018 21:16:34 +0000 Subject: Connectionists: Funded PhD at the University of Sussex: Causality and complexity in human neural dynamics during natural vision Message-ID: <0C4A5A4B-A084-4816-B3E7-0ECB78415134@sussex.ac.uk> A funded PhD position is available at the University of Sussex, application deadline Feb 16 2018. Causality and complexity in human neural dynamics during natural vision A PhD studentship in the area of computational neuroscience is available at the Sackler Centre for Consciousness Science, within Prof Anil Seth's group based in the Department of Informatics. It is a collaborative project with the group of Prof. Rafael Malach at the Weizmann Institute in Israel, and Prof. Ashesh Mehta from the Feinstein Institute in New York. The position is co-funded by the University of Sussex and the Canadian Institute for Advanced Research (CIFAR). This project offers an exciting opportunity to apply leading-edge analytical methods to unique sources of data, in order to unravel the neural basis of conscious vision. The successful candidate will develop and apply dynamical complexity measures and functional connectivity analysis to detailed intracranial recordings obtained from humans during unconstrained real-world movement, with simultaneous video. A key advantage of this set-up is the availability of extensive high-resolution coverage of the entire (human) visual brain, acquired during ecologically valid visual behavior. Other sources of data may also be analysed during the project. The overall goal is to work towards an explanatory bridge from network-level neural dynamics to large-scale theories of perception and consciousness (e.g., global workspace theory, predictive processing). More details, including how to apply, are here: http://www.sussex.ac.uk/study/phd/fees-and-scholarships/scholarships/view/870 (please note funding is sufficient to cover fees and living expenses for UK/EU students only) --------------------------------------------- Anil K. Seth, D.Phil. University of Sussex, UK Professor of Cognitive and Computational Neuroscience Co-Director, Sackler Centre for Consciousness Science Editor-in-Chief, Neuroscience of Consciousness www.anilseth.com @anilkseth -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.aly at em.ci.ritsumei.ac.jp Sat Jan 20 10:23:38 2018 From: amir.aly at em.ci.ritsumei.ac.jp (Amir Aly) Date: Sun, 21 Jan 2018 00:23:38 +0900 Subject: Connectionists: CFP- Special issue on Robots and Smart Environments Message-ID: *Cognitive Systems Research (CSR) Journal* CALL FOR PAPERS **Apologies for cross posting ** We are happy to call for papers for the journal special issue: "*Social Cognitive Systems in Smart Environments: Approaches for Learning, Reasoning, and Adaptation*" *Webpage: **https://www.journals.elsevier.com/cognitive-systems-research/call-for-papers/special-issue-social-cognitive-systems-in-smart-environment * *I. Aim and Scope * A ?smart? environment incorporates intelligent systems (e.g., smart home, smart factory, smart city, smart car etc.) employing heterogeneous devices, such as: sensors, actuators, cameras, networks, and screens. Within such a smart environment, autonomous agents can take on an important mediating role between human users and the environment. This is particularly true if high-level cognitive functions and computational intelligence are employed to handle the uncertainty of the complex environment so as to allow agents to act appropriately within different contexts of interaction. Using robotic systems in smart environments opens the door to several socio-cognitive applications, such as: reducing cognitive load for individuals interacting with a smart environment, assisting the elderly and people with cognitive disabilities in mobility and daily tasks (which requires robots to learn the multimodal characteristics of human behavior and to spatially perceive the environment containing other smart objects to decide the best way to employ/manipulate them in order to successfully perform tasks), and developing a cloud-connected robot system to incrementally share knowledge between robots in different smart environments about the behavioral characteristics of human users in order to interact with them adaptively. To meet the requirements of these target applications, robots need to be able to learn how to use the capabilities of their smart environments to better address the needs of the human users. Industrial applications of such technologies include factories of the future and the digital eco-system within an autonomous car. This special issue aims to shed light on cutting edge lines of interdisciplinary research in cognitive science, artificial intelligence, and robotics covering basic research and applications. Recent advances and possible future research avenues on smart robots and environments would be discussed in detail in this journal special issue. *II. Potential Topics* Topics relevant to this special issue include, but are not limited to: - Cyber-physical systems in smart environments - Multimodal human robot interaction - Cognitive modeling of human behavior - Cognitive architectures and strategies for intelligent interaction with the environment - AI and machine learning approaches applied to human-robot-environment interaction - Internet of things - Ambient assisted living - Infotainment in smart vehicles - Natural user interface design - Cloud robotics - Ubiquitous computing *III. Submission* Submissions to the special issue must include original research that has not been published nor submitted to other journals. Authors should prepare their manuscript according to the "Guide for Authors" available at the journal homepage: http://www.journals.elsevier.com/cognitive-systems- research/. Papers should be submitted through the EVISE system: https://www.evise.com/evise/jrnl/cogsys. Authors should select "*VSI:Smart Environments"* as the article type during the submission process. *IV. Timline (Submission portal will be open on March 1, 2018)* - Deadline for paper submission: April 30, 2018 - First notification for authors: July 31, 2018 - Deadline for revised papers submission: September 30, 2018 - Final notification for authors: November 30, 2018 - Deadline for submission of camera-ready manuscripts: January 15, 2019 *V. Guest editors* Dr. Amir Aly, Ritsumeikan University, Japan (amir.aly at em.ci.ritsumei.ac.jp) Dr. Shashank Pathak,Visteon Corporation, Germany ( shashank.pathak at visteon.com) Dr. Sean Andrist, Microsoft Research, USA (sandrist at microsoft.com) Prof. Armando Tacchella, University of Genoa, Italy ( armando.tacchella at unige.it) -- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.lepora at bristol.ac.uk Sun Jan 21 02:33:22 2018 From: n.lepora at bristol.ac.uk (Nathan Lepora) Date: Sun, 21 Jan 2018 07:33:22 +0000 Subject: Connectionists: =?windows-1252?q?=5Bjobs=5D_Postdoc/Senior_Postdo?= =?windows-1252?q?c_=96_A_biomimetic_forebrain_for_active_touch_=28Univers?= =?windows-1252?q?ity_of_Bristol=29?= In-Reply-To: References: , , , Message-ID: Postdoc/Senior Postdoc in Computational/Mathematical Neuroscience ? A biomimetic forebrain for active touch (University of Bristol) *** closing date for applications: 1 February 2018 *** The University of Bristol invites applications for an immediate position in Computational/Mathematical Neuroscience. The successful candidate will be part of a multi-disciplinary team on the new Leverhulme-funded Leadership Award ?A biomimetic forebrain for robot touch?, focusing on active touch. We have been awarded funds for four postdocs and a technician on a 5-year project that will apply leading robotics, artificial intelligence, neuroscience, psychology and philosophy of the brain to develop a biomimetic forebrain embodied on a 3D-printed tactile robot hand to enable human-like manipulation This application is for a Postdoctoral/Senior Postdoctoral Research Associate in Computational/Mathematical Neuroscience who will model the mammalian forebrain system for embodiment in the robots. This research position will focus on systems-level biological modelling of forebrain systems, and will complement three other postdoctoral researchers and a technician on the AI of robot touch and 3D-printed tactile robots, who together will embody the model on the robots. Our lab uses statistical/Bayesian approaches to model perception and action selection, and is interested in taking these approaches in the direction of goal-directed learning and task performance in complex environments. Although a relatively new group, we have a strong track record in publishing in both the leading Computational Neuroscience and Robotics/AI journals and conferences, including PLOS Computational Biology, Frontiers in Comp Neuro, NIPS, RSS, IEEE Trans Robotics, Soft Robotics and regularly in ICRA/IROS. Our lab has recently won the international Soft Robotics Challenge and we have a 3D-printed tactile robot hand on display in the Science Museum, London. Our group currently numbers 8 full-time members, and we will be hiring three postdocs and a technician over the next year. The project has funding until April 2022, making this an ideal position to develop a strong base for an academic career in this interesting research area. Applicant qualities: This application is for a postdoctoral position (Research Associate/Senior Research Associate) in Computational/Mathematical Neuroscience. We are looking for a candidate experienced in some of the following research areas, and an interest in pursuing the others: - Computation/mathematics of optimal decision making (e.g. statistical/Bayesian methods) - Models of reinforcement/goal-directed learning - Systems-level modelling of the basal ganglia and other forebrain structures - Interest in embodied computational neuroscience and embodied cognition/active perception. You will hold (or will be expected to obtain soon) a strong PhD in a discipline relevant to the project. In addition to a strong research track record you will also have a proven capability to write first author publications accepted in the leading journals of the research field. Institution The project will be based at both the Computational Neuroscience Unit (www.bristol.ac.uk/engineering/research/computational-neuroscience) at the University of Bristol and Bristol Robotics Laboratory (www.brl.ac.uk) the largest centre for multi-disciplinary robotics research in the UK. Our group also collaborates with other labs in this research area, principally at the University of Sheffield (Tony Prescott) and ISTC-CNR in Rome (Giovanni Pezzulo). The post holder will be employed by the Faculty of Engineering at the University of Bristol, ranked 3rd for general Engineering in the UK (just after Oxford and Cambridge). The city of Bristol is consistently ranked as the 'best place to live' in the UK, e.g. as reported by the BBC (http://www.bbc.co.uk/news/uk-england-39320118). Further details: It is anticipated that interviews will take place in February 2018, and the anticipated start as soon as possible thereafter. This post is full time for 2 years initially, with funds in place to extend the position until April 2022. Further information about the Leverhulme Award (http://www.lepora.com/leverhulme.htm) and the activities of the research group (www.lepora.com) can be found via these links. Details and procedure to apply can be made through this link http://www.bristol.ac.uk/jobs/find/ with reference number ACAD103059. Informal enquiries can be made to: Dr. Nathan Lepora (N.Lepora at bristol.ac.uk) Closing date for applications: 1 February 2018 -- Dr Nathan Lepora, Reader in Robotics & BRL lead in Tactile Robotics Dept of Engineering Maths, Merchant Venturers Building, University of Bristol Office (MVB2.50): 0117 3315169 Lab (BRL bays 2 & 3): 0117 3286171 www.lepora.com @nathanlepora @tactilerobot -------------- next part -------------- An HTML attachment was scrubbed... URL: From 2018 at encods.eu Mon Jan 22 03:13:59 2018 From: 2018 at encods.eu (Organizers ENCODS2018) Date: Mon, 22 Jan 2018 09:13:59 +0100 (CET) Subject: Connectionists: Register for ENCODS 2018 - European Neuroscience Conference by Doctoral Students - Deadline January 31st Message-ID: <486475.220278.1516608839708.JavaMail.open-xchange@ox-api-1.vpn.udag.de> We are pleased to invite you to: *ENCODS 2018* (European Neuroscience Conference by Doctoral Students) Berlin, Germany, 5-6 July 2018 We are a conference organised for and by doctoral students and a partner of FENS (Federation of European Neuroscience Societies). We aim to increase scientific exchange by bringing together young researchers, established scientists and visionaries. This new edition of ENCODS 2018 in Berlin, Germany, is designed to move beyond the sometimes rigid speaker-audience concept by including a wide range of original activities to create a dynamic environment for blossoming of ideas and networking among scientists. What? ENCODS ? the European Neuroscience Conference by Doctoral Students When? 5th-6th July 2018, the days preceding the FENS Forum Where? Berlin, Germany Who? Doctoral students from every discipline within the field of neuroscience How? Register for ENCODS 2018 at http://www.fens.org/Training/ENCODS/ENCODS2018/Registration-Information/ Please note that registration is open until the *31st January 2018*. Registration fee waivers and travel grants are available, pending availability and application approval. Why? * Exciting talks: - Big neuroscience projects: Nancy Ip, Hong Kong University of Science and Technology - Novel methods in neuroscience: Thomas Kn?pfel, Imperial College London - Science and industry: Sakyasingha Dasgupta, Ascent Robotics, Inc. Japan - The future of health: Elisabeth Binder, Max Planck Institute of Psychiatry, Munich * 16 selected student talks * Engaging workshops: - Open science, Bianca Kramer and Jeroen Bosman, Utrecht University Library, Netherlands - The publication process, Paul Bolam, University of Oxford, UK - Experimental design, Chris Hartgerink, Tilburg University, Netherlands - Presentation skills, Anna Elena Pepe, Phoebus coaching, UK * An afternoon of Unconference, a participant-driven space for open discussion * Science & Society session: Methods of an embodied mind (supported by the Schering Stiftung, Berlin) For more information and registration, visit: http://www.fens.org/Training/ENCODS/ENCODS2018/ From gerardo.beruvides at car.upm-csic.es Mon Jan 22 04:07:50 2018 From: gerardo.beruvides at car.upm-csic.es (Gerardo Beruvides Lopez) Date: Mon, 22 Jan 2018 10:07:50 +0100 Subject: Connectionists: Final Call for papers SS03_ICPS2018 Message-ID: <4df87563-7a6e-fb90-4eec-5c1878d706a9@car.upm-csic.es> Dear Colleague, This is the Final Call for Papers for the Special Session on Innovative Computational Intelligence Knowledge-based Solutions for Zero Defect Scenarios on Industrial Cyber-Physical Systems. The Special Session has been included in the 1st IEEE International Conference on Industrial Cyber-Physical Systems (IEEE ICPS 2018) programme, May 15-18, 2018, Saint Petersburg, Russia. All accepted paper will appear in IEEE Xplore Digital Library and the good quality paper may be considered for publication in IEEE Transactions on Industrial Informatics subjects to further rounds of review. Topics of interest include: - Predictive and prescriptive artificial intelligence architectures for ICPS - Real-time machine condition monitoring & diagnostic for global environments - Advance knowledge representation methodologies and ontologies - Pattern recognition and identification based on big data analytics in ICPS - Crowdsourcing and crowd cloud computing methodologies - Self-adaptive & self-reconfiguration system development methods - Virtual modelling and simulators for zero defect ICPS scenarios - Connected ICPS network sensors for smart manufacturing environments - Innovative deep learning topologies for ICPS applications Important Dates Paper submission deadline extended to: January 31, 2018 Paper acceptance: February 28, 2018 Final paper submission: March 31, 2018 Information on the IEEE ICPS 2018 will be regularly updated in the Conference website: http://icps2018.net/ I should be very grateful if you could publicize this event among your colleagues. Thank you for your contributions in advance, For more information, please do not hesitate to contact me. Best regards, Gerardo Beruvides SS03 Co-Chairman -- Gerardo Beruvides L?pez, PhD Centro de Autom?tica y Rob?tica, CSIC - UPM Ctra. de Campo Real Km. 0.200 La Poveda, Arganda del Rey C.P. 28500 Madrid - Spain gerardo.beruvides at car.upm-csic.es - http://www.gamhe.eu personal email: beruvides85 at gmail.com Phone: (+34) 91 871 19 00 Ext. 244 Fax: (+34) 91 871 70 50 From O.Scharenborg at let.ru.nl Tue Jan 23 03:16:21 2018 From: O.Scharenborg at let.ru.nl (Odette Scharenborg) Date: Tue, 23 Jan 2018 09:16:21 +0100 Subject: Connectionists: Interspeech 2018 Call for Papers - Hyderabad, India In-Reply-To: References: Message-ID: Dear colleagues, please find below the call for papers for Interspeech, the world's leading conference on speech science and speech technology. This year it will take place in Hyderabad, India from 2-6 September. The theme of this year's conference is "Speech Research for Emerging Markets in Multilingual Societies", a highly relevant and timely topic. More information on deadlines can be found below. I hope to see many of you there, Odette ------- Forwarded message ------- From: "Publicity, Interspeech 2018" To: o.scharenborg at let.ru.nl Cc: Subject: Interspeech 2018 Call for Papers Date: Mon, 22 Jan 2018 20:01:48 +0100 Can't read or see images? View this email in a browser Dear colleague: Interspeech 2018 will be held in India during September 2-6, 2018, at the Hyderabad International Convention Centre, Hyderabad, India. We invite you to submit your research papers as well as proposals for special sessions and challenges, tutorials, and satellite workshops. The call for papers is attached below. For more details, please visit: http://www.interspeech2018.org. We look forward to your participation in Interspeech 2018. Sincerely, Team Interspeech 2018 == Interspeech 2018 September 2-6, 2018, Hyderabad International Convention Centre Hyderabad, Telangana, India http://www.interspeech2018.org Call for Papers, Proposals for Special Sessions and Challenges, Tutorials, and Satellite Workshops Interspeech is the world's largest and most comprehensive conference on the science and technology of spoken language processing. It will be held in India for the first time. Interspeech conferences emphasize interdisciplinary approaches addressing all aspects of speech science and technology, ranging from basic theories to advanced applications. Contributions to all areas of speech science and technology are welcome. In addition to regular oral and poster sessions, Interspeech 2018 will feature plenary talks by internationally renowned experts, tutorials, special sessions, show & tell sessions, and exhibits. The tutorials will be held in the Hyderabad International Convention Centre. A number of satellite events will also take place around Interspeech 2018. Original papers are solicited in, but not limited to, the following areas: 1. Speech Perception, Production and Acquisition 2. Phonetics, Phonology, and Prosody 3. Analysis of Paralinguistics in Speech and Language 4. Speaker and Language Identification 5. Analysis of Speech and Audio Signals 6. Speech Coding and Enhancement 7. Speech Synthesis and Spoken Language Generation 8. Speech Recognition ? Signal Processing, Acoustic Modeling, Robustness, and Adaptation 9. Speech Recognition ? Architecture, Search, and Linguistic Components 10. Speech Recognition ? Technologies and Systems for New Applications 11. Spoken Dialog Systems and Analysis of Conversation 12. Spoken Language Processing ? Translation, Information Retrieval, Summarization, Resources, and Evaluation A complete list of the scientific area topics including special sessions is available at http://interspeech2018.org/areas-and-topics/ Paper Submission Papers intended for Interspeech 2018 should be up to 4 pages of text. An optional fifth page could be used for references only. Paper submissions must conform to the format defined in the paper preparation guidelines and as detailed in the author's kit on the conference web page. Please be aware that Interspeech 2018 will use new templates and submissions will be accepted only in the new format. Submissions may also be accompanied by additional files such as multimedia files, to be included on the proceedings' USB drive. Authors must declare that their contributions are original and have not been submitted elsewhere for publication. Papers must be submitted via the online paper submission system. The working language of the conference is English, and papers must be written in English. Important Dates Submission portal opens: February 1, 2018 Abstract submission deadline: March 16, 2018 Final paper submission deadline: March 23, 2018 Acceptance/rejection notification: June 3, 2018 Camera-ready paper due: June 17, 2018 Special sessions and challenges proposals due: December 1, 2017 Satellite workshop proposals due: December 8, 2017 Show and Tell proposals due: March 30, 2018 Tutorial proposals due: February 1, 2018 Registration opens: June 10, 2018 [Apologies if you receive multiple copies of this email] == This email was sent by publicity at interspeech2018.org to o.scharenborg at let.ru.nl Not interested? Unsubscribe | Update profile | Impressed? Tell-A-Friend Interspeech 2018 | Indian Institute of Technology (IIT), Madras, India -------------- next part -------------- An HTML attachment was scrubbed... URL: From bjerva at di.ku.dk Tue Jan 23 05:37:13 2018 From: bjerva at di.ku.dk (Johannes Bjerva) Date: Tue, 23 Jan 2018 10:37:13 +0000 Subject: Connectionists: *SEM 2018 2nd CFP and announcing invited speakers: The Seventh Joint Conference on Lexical and Computational Semantics References: Message-ID: <9596F4B3-2794-48A3-A507-CFC7C1109A45@ku.dk> *SEM 2018: THE SEVENTH JOINT CONFERENCE ON LEXICAL AND COMPUTATIONAL SEMANTICS June 5-6 2018, New Orleans (USA) Co-located with NAACL 2018 https://sites.google.com/view/starsem2018/ First Call for Papers We are pleased to announce that SIGLEX and SIGSEM, special interest groups of the ACL, are organizing the 7th Joint Conference on Lexical and Computational Semantics: *SEM. This time *SEM will be co-located with NAACL 2018 in New Orleans (USA), and it will take place on the 5-6 of June 2018. *** The two fantastic invited speakers at *SEM 2018 will be Ellie Pavlick (shared with SemEval) and Christopher Potts *** *SEM brings together researchers interested in the semantics of natural languages and its computational modeling. The conference embraces symbolic and probabilistic approaches, and everything in between; theoretical contributions as well as practical applications are welcome. The long-term goal of *SEM is to provide a stable forum for the growing number of NLP researchers working on all aspects of semantics. Topics of interest include, but are not limited to: Data-driven semantics Word sense disambiguation and induction Distributional and statistical semantics Meaning Representations Multiword and idiomatic expressions Semantic parsing and interpretation Frames and semantic role labeling Formal approaches to semantics Semantic ambiguity and underspecification Mathematical methods for semantics Temporal entities and relations Extraction of events and causal and temporal relations (Named) Entity linking Pronouns and coreference Single- and cross-document coreference Discourse semantics Discourse structure and presupposition Rhetorical relations Sentiment analysis Extra-propositional aspects of meaning Metaphor, irony, and figurative meaning Semantic annotation and evaluation Textual inference and question answering Generation and summarization Semantics for social media Knowledge mining and acquisition Semantic web and ontologies Ontology learning and population Grounding and wikification Multimodal computational semantics Comparative computational semantics IMPORTANT DATES -------------------------------- Papers submission due: March 2, 2018 Notification of acceptance: April 2, 2018 Camera-ready: April 16, 2018 *SEM conference: June 5-6, 2018 SUBMISSION INSTRUCTIONS ---------------------------------------------- Submissions to *SEM-2018 must describe unpublished work and be written in English. We solicit both long and short papers. Long papers describe original research and may consist of up to eight (8) pages of content, plus at most two extra pages for references. Final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. Long papers will be presented orally. Short papers describe original focused research, project or system description, and may consist of up to four (4) pages, plus one extra page for references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers comments in their final versions. Short papers will be presented as posters. Each submission will be reviewed by at least three reviewers. Final versions should take into account the comments from the reviewers. As the reviewing will be blind, the paper must not include the authors' names and affiliations. Furthermore, self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ..." must be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ...". As for online paper sharing, at *SEM, we adopt the ACL policy for submission, which can be found here: https://aclweb.org/adminwiki/index.php?title=ACL_Policies_for_Submission,_Review_and_Citation. Papers that do not conform to requirements will be rejected without review. For a paper to be included in the conference proceedings, at least one of the authors must be registered as a participant at the *SEM conference. Papers will be submitted using the START system: http://www.softconf.com/naacl2018/starsem18/ Please note that double submission of papers will need to be notified at submission. ORGANIZERS ----------------------- General Chair: Malvina Nissim, University of Groningen,The Netherlands Program Chairs: Jonathan Berant, Tel-Aviv University, Israel Alessandro Lenci, University of Pisa, Italy Publication chair: Emmanuele Chersoni, University of Pisa, Italy / Aix-Marseille University, France Publicity chair: Johannes Bjerva, University of Copenhagen, Denmark CONTACT ----------------- Contact email: starsem2018-chairs at googlegroups.com Conference website: https://sites.google.com/view/starsem2018/ Twitter: https://twitter.com/starsem2018 Facebook: https://www.facebook.com/starsem2018/ *SEM is pronounced "starsem". From ksmith at kth.se Tue Jan 23 10:26:27 2018 From: ksmith at kth.se (Kevin Smith) Date: Tue, 23 Jan 2018 16:26:27 +0100 Subject: Connectionists: [job] Bioinformatician with focus on research support in image analysis (Stockholm, Sweden) Message-ID: Job description We are looking for a PhD with a keen interest in implementation and adaption of image analysis algorithms for quantitative analysis of microscopy data to join the SciLifeLab BIIF (https://www.scilifelab.se/ facilities/bioimage-informatics/). You will work in short and long-term projects, providing research support and education in image analysis. The BIIF has nodes in both Uppsala and Stockholm, but the assignment includes services to researchers at other universities in Sweden as well. The job includes involvement and organization of courses and workshops in digital image processing and analysis with life science applications. Supervision of master thesis students is part of the assignment. 20% time will be spent supporting projects at the LCI facility in Huddinge. Qualifications A PhD in computer vision/image processing (or equivalent), or a PhD in bio-medicine/biology (or equivalent), combined with documented experience of computer programming and development of digital image analysis solutions is required. In addition, the following qualifications are considered highly desireable: - Experience with analysis software such as Imaris, ImageJ/Fiji, CellProfiler, NIS and Amira - Experience with algorithm development and development of analysis pipelines aiming to quantify and classify biological parameters extracted from microscopy data of e.g. cells and microorganisms in cultures and tissue samples - Experience in medical image analysis - Experience with teaching and student supervision - Proficiency with a scientific programming language (Python, R, or Matlab) - Excellent English communication skills, both spoken and written, as well as excellent interpersonal skills Other meriting experiences and skills - Postdoctoral experience in image analysis, within or outside academia, especially focused on methods development - Familiarity with deep learning frameworks like Keras, TensforFlow, or PyTorch Application Log into KTH's recruitment system in order to apply to this position. https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/ jobID:185845/where:4/ You are responsible to ensure that your application is complete according to the ad. Your complete application must be received at KTH no later than the last day of application. Applications shall include the following documents: 1. Statement of interest including a brief description of experience in bioimage analysis 2. Curriculum vitae 3. Reference contact information 4. Representative publications (or other example of scientific writing) Please observe that all material needs to be in English. KTH Royal Institute of Technology KTH Royal Institute of Technology in Stockholm has grown to become one of Europe?s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden?s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy. Department information The position will be formally placed with the department for Computational Science and Technology (CST) at KTH, but work will be carried out at the Science for Life Laboratory. The CST department conducts research to understand and model physical and biological systems using computational techniques, which require efficient, high performance algorithms and implementations together with advanced visual analysis capabilities. For more information go to https://www.kth.se/en/csc/forskning/cst. The Science for Life Laboratory (SciLifeLab) is a collaboration between four universities in Stockholm and Uppsala: Karolinska Institutet, KTH, Stockholm University and Uppsala University. It combines advanced technology with broad knowledge in translational medicine and molecular life sciences. Since 2013, SciLifeLab has a mission from the Swedish government to run infrastructure to support researchers nationally and to be an internationally leading center for large-scale analyses in molecular life sciences targeting research in health and environment. For more information, visit https://www.scilifelab.se/. -------------- next part -------------- An HTML attachment was scrubbed... URL: From julien.perez at naverlabs.com Tue Jan 23 11:50:59 2018 From: julien.perez at naverlabs.com (Julien Perez) Date: Tue, 23 Jan 2018 17:50:59 +0100 Subject: Connectionists: [Internship] Deep Information Retrieval - Naver Labs Europe, Grenoble, France Message-ID: <016601d3946a$5b2daa80$1188ff80$@naverlabs.com> Dear all, Link to the description: http://www.europe.naverlabs.com/NAVER-LABS-Europe/Internships/Deep-Informati on-Retrieval Cheers, -- Julien Perez Machine Learning and Optimization group Naver Labs Europe -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomas.hromadka at gmail.com Tue Jan 23 17:54:14 2018 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Tue, 23 Jan 2018 23:54:14 +0100 Subject: Connectionists: COSYNE 2018: Registration, Hotels, Cosyne tutorial session Message-ID: ==================================================== Computational and Systems Neuroscience 2018 (Cosyne) MAIN MEETING 01 - 04 March 2018 Denver, Colorado WORKSHOPS 05 - 06 March 2018 Breckenridge, Colorado www.cosyne.org ==================================================== ---------------------------------------------------- REGISTRATION AND HOTELS ---------------------------------------------------- Online registration for Cosyne is currently open. Please note that presenting authors must register for the main meeting by 31 January 2018. Early online registration deadline 06 February 2018, 2017, 11.59PM EST Hotel booking for Cosyne is currently open. Please note that deadlines for reduced hotel rates are fast approaching. For more detailed information on Cosyne registration and accommodation, please visit Cosyne.org -> Registration and Cosyne.org -> Hotels. ---------------------------------------------------- TRAVEL DISCOUNTS ---------------------------------------------------- For details on discounts for various travel options to and from Cosyne 2018, please visit Cosyne.org -> Transportation. ---------------------------------------------------- COSYNE TUTORIAL SESSION ---------------------------------------------------- This year, Cosyne is hosting its first tutorial session, sponsored by the Simons Foundation. The tutorial on "Statistical models for neural data: from GLMs to latent variables" will be given by Jonathan Pillow on 01 March 2018, before the main meeting starts. Space is limited. You can register for the tutorial when registering for the main meeting. For details on the tutorial and registration, see Cosyne.org -> Tutorial and Cosyne.org -> Registration. ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. COSYNE SPEAKERS Tim Behrens (Oxford) Josh Berke (UCSF) Tiago Branco (UCL) Jessica Cardin (Yale) Claudia Clopath (Imperial) Marlene Cohen (Pittsburgh) Iain Couzin (Max-Planck) Carina Curto (Penn State) Ann Graybiel (MIT) Vivek Jayaraman (Janelia) Mate Lengyel (Cambridge) Joni Wallis (Berkeley) Byron Yu (CMU) ORGANIZING COMMITTEE General Chairs: Ilana Witten (Princeton) and Eric Shea-Brown (U Washington) Program Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Workshop Chairs: Laura Busse (LMU) and Ralf Haefner (U Rochester) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Publicity Chair: Il Memming Park (Stony Brook) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details. From aanchan at gmail.com Tue Jan 23 12:41:47 2018 From: aanchan at gmail.com (Aanchan mohan) Date: Tue, 23 Jan 2018 09:41:47 -0800 Subject: Connectionists: Spotify RecSys 2018 Music Recommendation Challenge Message-ID: Hello, Here is a call for participation in the Spotify RecSys 2018 challenge! Visit the competition page for more details : http://recsys-challenge.spotify.com/details *About the competition* Spotify is an online music streaming service with over 140 million active users and over 30 million tracks. One of its popular features is the ability to create playlists, and the service currently hosts over 2 billion playlists. This year's challenge focuses on music recommendation, specifically the challenge of automatic playlist continuation. By suggesting appropriate songs to add to a playlist, a Recommender System can increase user engagement by making playlist creation easier, as well as extending listening beyond the end of existing playlists. The goal of the challenge is to develop a system for the task of automatic playlist continuation. Given a list of details about a playlist, the system should be able to recommend a set of tracks that can be added to it, thereby 'continuing' the playlist. *About RecSys 2018 (**https://recsys.acm.org/recsys18/ **)* The ACM Recommender Systems conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recommendation is a particular form of information filtering, that exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an end-user?s preferences. As RecSys brings together the main international research groups working on recommender systems, along with many of the world?s leading e-commerce companies, it has become the most important annual conference for the presentation and discussion of recommender systems research. RecSys 2018, the twelfth conference in this series, will be held in Vancouver, Canada. It will bring together researchers and practitioners from academia and industry to present their latest results and identify new trends and challenges in providing recommendation components in a range of innovative application contexts. In addition to the main technical track, RecSys 2018 program will feature keynote and invited talks, tutorials covering state-of-the-art in this domain, a workshop program, an industrial track and a doctoral symposium. Published papers will go through a rigorous full peer review process. The conference proceedings, which will be available both on a USB drive and via the ACM Digital Library, are expected to be widely read and cited. ACM RecSys 2018 will take place in Vancouver, Canada, from October 2-7, 2018. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jdrugo at gmail.com Tue Jan 23 15:39:20 2018 From: jdrugo at gmail.com (Jan Drugowitsch) Date: Tue, 23 Jan 2018 15:39:20 -0500 Subject: Connectionists: Postdoc at Harvard (Drugowitsch Lab) in computational neuroscience Message-ID: Location: Harvard Medical School, Boston, MA Start: April 2018 or after We are looking for a highly creative and motivated postdoctoral fellow to work in the field of computational and systems neuroscience in the group of Jan Drugowitsch - Department of Neurobiology at Harvard Medical School (http://neuro.hms.harvard.edu/people/faculty/jan-drugowitsch). The group works on questions of decision-making and navigation under uncertainty, ranging from the level of neural populations to that of behavior. In the short term, the postdoctoral fellow is expected to design and analyze behavioral and neural models of decision-making that are gauged against data from human subjects, collected by the laboratory of Dr. Wyart at ?cole Normale Sup?rieure, Paris. In the long term, close interaction and collaboration with other members of the department is anticipated. Candidates should have a strong analytical background, such as in computational neuroscience, physics, mathematics, engineering, or related, and feature an interest in the role of computation in neural populations and in theoretical neuroscience in general. Experience or familiarity with related machine-learning fields is also desirable. Previous experience should include sufficient programming skills to run numerical simulations, Bayesian methods, and expertise in the analysis of dynamical systems. The position starts in or after April 2018, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary depends on experience and is at levels above the NIH scale. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to jan_drugowitsch at hms.harvard.edu. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Dr. Drugowitsch will be available at the Computational and Systems Neuroscience Conference (Cosyne), to take place March 1-6, for questions and further information about the opening. Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Jan Drugowitsch Assistant Professor in Neurobiology Harvard Medical School https://drugowitschlab.hms.harvard.edu/ From giacomo.cabri at unimore.it Tue Jan 23 16:20:08 2018 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Tue, 23 Jan 2018 22:20:08 +0100 Subject: Connectionists: CfP: 1st Workshop on Actors, Agents, Assistants, Avatars (4A'18) Message-ID: <04740b42-1ceb-d85c-4622-4b57068d71af@unimore.it> 1st Workshop on Actors, Agents, Assistants, Avatars (4A'18) Pozna?, Poland, September, 9-12, 2018 https://fedcsis.org/2018/4a The field of, broadly understood, agent technology is undergoing rapid changes. What was once envisioned, primarily, in research papers becomes reality. Over last few years we observe proliferation of personal assistants and avatars (sometimes considered under a joint umbrella of ChatBots). For instance, consider Siri, Cortana, Amazon Echo, or Google Assistant (to name the most popular). They can help in different activities, but a lot of work remains before they reach full potential. Furthermore, actors start to materialize in real-world applications ? as a promising approach to implement large-scale distributed systems. It is also worthy noticing that avatars, humans and smart things can cooperate as a community that instantiates, contributes to and exploits various aspects of collective intelligence. Here, observe that agents can play very relevant role in the context of implementing, for example, intelligence of smart devices, which interact with each other and with humans, by common communication channels and, possibly even, social networks. At the same time, software tools that can be used to realize 4A systems have reached maturity and are surrounded by active user communities. TOPICS To recognize the current trends we have decided to develop a new workshop that will cover all aspects concerning the 4A?s. Therefore, we welcome submissions of original papers concerning the following topics (the list is not exhaustive and deliberately provided on a meta-level): ? Actors, as an approach to design and (efficiently) implement distributed systems ? Current perspectives on software agents and multi-agent systems ? Design and implementation of assistants ? ChatBot design, implementation and use ? Avatars for today and tomorrow ? Theoretical foundations of 4A-based systems ? 4A-based simulations (with application to real-world use cases, in particular) ? Case studies, applications and experiences with 4A?s (in real-world, in particular) DEMO-SESSION A special session devoted to demonstration of working prototypes is planned. Special recognition for the best demo will be given. PAPER SUBMISSION AND PUBLICATION ? Authors should submit draft papers (as Postscript, PDF or MSWord file). ? The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available?here. ? Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. ? Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. ? Only?papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. ? Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. ? Conference proceedings will be indexed in?BazEkon?and?submitted for indexation in:?Thomson Reuters - Conference Proceedings Citation Index,?SciVerse Scopus,?Inspec,?Index Copernicus,?DBLP Computer Science Bibliography?and?Google Scholar ? Extended versions of selected papers presented during the conference will be invited to the Special Issue of * Scalable Computing; Practice and Experience * Complex Adaptive Systems Modeling (fee waiver is expected) * Multiagent and Grid Systems PROGRAM COMMITTEE ? Agotnes, Thomas,?University of Bergen, Norway ? Ambroszkiewicz, Stanislaw, Institute of Computer Science, Polish Academy of Sciences, Poland ? Barseghyan, Artak, Yerevan, Armenia ? Braubach, Lars,?University of Hamburg, Germany ? Budimac, Zoran,?Faculty of Sciences, Univ. of Novi Sad, Serbia ? Byrski, Aleksander, AGH University of Science and Technology, Poland ? Cabri, Giacomo,?University of Modena and Reggio Emilia, Italy ? Di Napoli, Claudia,?CNR ICAR, Italy ? Fern?ndez, Alberto,?Universidad Rey Juan Carlos, Spain ? Florea, Adina,?University POLITEHNICA of Bucharest, Romania ? Jedrzejowicz, Piotr,?Gdynia Maritime University, Poland ? Jezic, Gordan,?University of Zagreb, Croatia ? Kaleta, Mariusz,?Warsaw University of Technology, Poland ? Kruczkiewicz, Zofia,?Wroc?aw University of Technology, Poland ? Kusek, Mario,?University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia ? Leszczyna, Rafal,?Gdansk University of Technology, Poland ? Letia, Ioan Alfred,?Technical University of Cluj-Napoca, Romania ? Morge, Maxime,?Universit? de Lille, France ? Negru, Viorel,?West University of Timisoara, Romania ? Neruda, Roman,?Institute of Computer Science, Academy of Sciences of the Czech Republic, Czech Republic ? Ngoc-Thanh, Nguyen, Wroclaw University of Science and Technology, Poland ? Niazi, Muaz,?COSMOSE Research Group, COMSATS Institute of IT, Pakistan ? Oliveira, Eugenio,?Faculty of Engineering, University of Porto, Portugal ? Omicini, Andrea,?Alma Mater Studiorum?Universit? di Bologna, Italy ? Oren, Nir,?University of Aberdeen, United Kingdom ? Ouedraogo, Moussa, Public Research Centre Henri Tudor, Luxembourg ? Paik, Incheon,?University of Aizu, Japan ? Poggi, Agostino,?DII - University of Parma, Italy ? Pokahr, Alexander,?Helmut-Schmidt-Universit?t/Universit?t der Bundeswehr Hamburg, Germany ? Rahimi, Shahram,?Southern Illinois University, United States ? Rimassa, Giovanni,?Whitestein Technologies AG, Switzerland ? Rykowski, Jarogniew,?Poznan University of Economics, Poland ? Sakellariou, Ilias, University of Macedonia, Greece ? Santoro, Corrado,?University of Catania, Italy ? Schaefer, Robert,?AGH University of Science and Technology, Poland ? Senatore, Sabrina, DIEM University of Salerno, Italy ? Tang, Yuqing,?Carnegie Mellon University, United States ? Thimm, Matthias, University of Koblenz-Landau, Germany ? Venticinque, Salvatore,?University of Campania "Luigi Vanvitelli", Italy ? Vouros, George,?University of Piraeus, Greece ? Wahjudi, Paulus,?Marshall Unviersity, United States EVENT CHAIRS ? Badica, Costin,?University of Craiova, Romania ? Ganzha, Maria,?Warsaw University of Technology, Poland ? Ivanovi?, Mirjana,?University of Novi Sad, Serbia ? Paprzycki, Marcin,?Systems Research Institute Polish Academy of Sciences, Poland ? Unland, Rainer, Universit?t Duisburg-Essen, Germany -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From erik at oist.jp Wed Jan 24 01:35:33 2018 From: erik at oist.jp (Erik De Schutter) Date: Wed, 24 Jan 2018 06:35:33 +0000 Subject: Connectionists: Okinawa/OIST Computational Neuroscience Course 2018: submission deadline next week Message-ID: OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2018 Methods, Neurons, Networks and Behaviors June 25 to July 12, 2018 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 25th through July 12th, 2018 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 1 - February 3, 2018. Applicants will receive confirmation of acceptance in March. Like in preceding years, the 15th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and provides partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: ? Maxim Bazhenov (University of California San Diego, USA) ? Michael Brecht (Bernstein Center for Computational Neuroscience Berlin, Germany) ? Erik De Schutter (OIST) ? Kenji Doya (OIST) ? Shaul Druckmann (Janelia Research Campus, USA) ? Karl Friston (Wellcome Trust Centre for Neuroimaging, UCL, UK) ? Wulfram Gerstner (?cole Polytechnique F?d?rale de Lausanne, Switzerland) ? Michele Giugliano (University of Antwerp, Belgium) ? Mitsuo Kawato (ATR, Japan) ? Bernd Kuhn (OIST) ? Kazuhisa Shibata (Nagoya University, Japan) ? Olaf Sporns (Indiana University, USA) ? ?Greg Stephens (OIST) ? Tatjana Tchumatchenko (MPI for Brain Research, Frankfurt, Germany) ? ?Krasimira Tsaneva-Atanasova (University of Exeter, UK) ? Yoko Yazaki-Sugiyama (OIST) -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 3698 bytes Desc: not available URL: From r.herzallah at aston.ac.uk Wed Jan 24 03:15:22 2018 From: r.herzallah at aston.ac.uk (Herzallah, Randa) Date: Wed, 24 Jan 2018 08:15:22 +0000 Subject: Connectionists: Post-Doctoral at Aston University- Harmonisation of Behavioural Dynamics of Quasi-Independent Agents of Limited Information Message-ID: <94495B92000C514BAE815CD3A0DAD6D9A6EED015@exch-mb-l4-02.campus.aston.ac.uk> Post-Doctoral - Harmonisation of Behavioural Dynamics of Quasi-Independent Agents of Limited Information. Aston University For application and Further details please follow the following link https://jobs.aston.ac.uk/Vacancy.aspx?ref=R180002 Post-Doctoral Research Assistant Salary: ?32,548 to ?38,833 per annum Grade: Grade 08 Contract Type: Fixed Term (until 1 May 2021) Basis: Full Time Closing Date: 23.59 hours GMT on Thursday 15 February 2018 We are looking for a skilled and dynamic research fellow with positive attitude and excellent interpersonal skills to work on an innovative research project that has been funded by the Leverhulme Trust. This cutting-edge research project is entitled ?Harmonisation of Behavioural Dynamics of Quasi-Independent Agents of Limited Information?. The increasing complexity of current and future emergent systems formed by large ensembles of entities introduces more challenging attributes to the study of controlling collective behaviour including, * The inherent nonlinearity and nonstationarity of their dynamical behaviour as a coupled stochastic system; * The adaptive co-evolvement of their structure naturally adapting to shifting environments. * They are networks-of-networks, noisy, and characterised by high levels of uncertainty. * They operate in a decentralized way The project aims to develop a radically new framework for reliable, robust and responsive control to overcome these challenges of large scale and complex dynamics. The framework will be based on a hybrid decentralised architecture of mutually-interacting quasi-independent subsystems where some are influenced by control signals and others are consensually harmonised through self-organisation. The ideal candidate will bring a strong track record in analysis and application of control theory, distributed and centralized optimization theory and control architecture development toward the design, modelling, and operation of next-generation complex dynamical systems. The candidate should demonstrate extensive experience and leadership in performing advanced mathematics and algorithm development, as well as analytical and simulation studies. The post is available for a period of three years. The successful candidate will be part of the System Analytics Research Institute (SARI) within the school of Engineering and applied science at Aston University. Required Education, Experience, And Skills A PhD in a relevant arear of Engineering, Physics, or Mathematics as well as a first degree in a relevant branch of engineering, mathematics or physical sciences. Applies extensive advanced control theory expertise, and has full knowledge of other related disciplines. Excellent writing, interpersonal and communication skills. Preferred Qualifications: Ideal candidates will have a background and expertise in one or more of the following topics: * The probabilistic modelling and control design of nonlinear and complex systems. * The design of consensus algorithms * Distributed control, * Probabilistic message passing, * The design of multiple controllers for switched systems. * Optimisation of nonlinear dynamical systems. For specific enquiries about this position, please contact Dr. Randa Herzallah, in the SARI Research Institute, School of Engineering and Applied Science, Aston University, Aston Tringle, Birmingham, B4 7ET, Email: r.herzallah at aston.ac.uk Interviews are due to take place week commencing 5th March 2018. ____________________________________________ Dr Randa Herzallah System Analytics Research Institute (SARI) Aston University Aston Triangle Birmingham, B4 7ET UK tel: +44 121 204 3674 fax: +44 121 204 3685 -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefan.kiebel at tu-dresden.de Wed Jan 24 07:09:33 2018 From: stefan.kiebel at tu-dresden.de (Stefan Kiebel) Date: Wed, 24 Jan 2018 12:09:33 +0000 Subject: Connectionists: PhD position in Dresden/Germany Message-ID: <8107556cd96c474f811a5ea62ef52395@MSX-L103.msx.ad.zih.tu-dresden.de> Hello, here is an open PhD position for someone who'd like to work at the interface between computational modelling and neuroimaging experiments, deadline 31st of Jan. Best wishes, Stefan -- The Department of Psychology at the TU Dresden (PI: Stefan Kiebel) is looking for a PhD student. The candidate will be working at the interface between computational and experimental neuroimaging research in cognitive control and goal-directed action sequences. Detailed information about the position can be found at: http://tiny.cc/henjpy The position in the group of Stefan Kiebel is associated with the DFG-funded CRC 940 'volition and cognitive control' (http://www.sfb940.de/en/home.html). The CRC aims at identifying the cognitive and neuronal mechanism, which underlie the volitional control of goal-directed actions as well as its dysfunctions in selected mental disorders. The candidate will work as a member of a team on computational modelling of goal-directed actions and explaining dynamics in cognitive control in terms of variations in control parameters. In this project, neuroimaging (fMRI and EEG) experiments will be used to test hypotheses derived using advanced Bayesian models of goal-reaching over multiple trials. -- Prof. Dr. Stefan Kiebel Chair of Neuroimaging Department of Psychology School of Science Technische Universit?t Dresden 01062 Dresden, Germany Tel.: +49 (351) 463-43145 Fax: +49 (351) 463-43147 -------------- next part -------------- An HTML attachment was scrubbed... URL: From daneshtarapore at gmail.com Wed Jan 24 09:53:32 2018 From: daneshtarapore at gmail.com (Danesh Tarapore) Date: Wed, 24 Jan 2018 14:53:32 +0000 Subject: Connectionists: PhD position in Resilient Robot Swarms Message-ID: The School of Electronics and Computer Science (ECS) at the University of Southampton , UK is offering a 3 years fully-funded (fees and stipend) PhD studentship to UK/EU applicants for the development of resilient robot swarms. Ranked in the top one percent of universities globally, the University of Southampton has an international reputation for its research, teaching and enterprise activities. ECS is the leading department of its kind in the UK, with an established track record for world-leading research across computer science, electronics, and electrical engineering. The student will be supervised by Dr Danesh Tarapore (d.s.tarapore at soton.ac.uk) of the Agents, Interaction and Complexity group (AIC) based at ECS at the University of Southampton. Robot swarms are large-scale multirobot systems with decentralised control which means that each robot acts solely based only on local perception and on local coordination with neighbouring robots. The decentralised approach to control confers a number of benefits in harsh environments. Robot swarms have the potential to take on numerous real-world tasks. In particular, tasks that require sensing or action over large areas or at a high spatiotemporal resolution, such as environmental monitoring, are candidates for application of future swarm robotics systems. However, robotic systems must be dependable and display a high degree of tolerance to faults before they can be deployed in real-world scenarios. This PhD project aims to develop algorithms for low-cost robot swarms to rapidly recover -- in no more than a few minutes -- from faults and damages sustained during operation. The project will take insights from various research disciplines including evolutionary computation, data-efficient machine learning, and swarm robotics. Prospective candidates should have a first class degree and/or master's degree in computer science, machine learning, artificial intelligence, robotics, or a closely related discipline. Application procedure: Formal applications can be completed online: https://www.ecs.soton.ac.uk/phd/how-to-apply. You should select ?PhD Computer Science? as your research programme (Faculty of Physical Sciences and Engineering). Please note Dr Danesh Tarapore as supervisor and Agents, Interaction and Complexity as research group in your online application. Informal inquiries can be made to Dr Danesh Tarapore ( d.s.tarapore at soton.ac.uk) with a copy of your curriculum vitae and cover letter indicating your interest in the project and why you wish to undertake it. References: A. Cully, J. Clune, D. Tarapore and J.-B. Mouret. "Robots that can adapt like animals." Nature 521.7553 (2015): 503-507. D. Tarapore, A. Lyhne Christensen and J. Timmis. "Generic, scalable and decentralized fault detection for robot swarms." PloS one 12.8 (2017): e0182058. Danesh Tararpore Assistant Professor School of Electronics and Computer Science University of Southampton Southampton, SO17 1BJ, UK URL: http://www.ecs.soton.ac.uk/people/dst1m17 -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Wed Jan 24 10:39:52 2018 From: terry at salk.edu (Terry Sejnowski) Date: Wed, 24 Jan 2018 07:39:52 -0800 Subject: Connectionists: NEURAL COMPUTATION - February 1, 2018 In-Reply-To: Message-ID: Neural Computation - Volume 30, Number 2 - February 1, 2018 Available online for download now: http://www.mitpressjournals.org/toc/neco/30/2 ----- Letters The Interaction Between Semantic Representation and Episodic Memory Jing Fang, Naima Ruether, Christian Bellebaum, Laurenz Wiskott and Sen Cheng On Rhythms in Neuronal Networks With Recurrent Excitation Christoph Boergers, Ryusei Melody Takeuchi, and Daniel T. Rosebrock Encoding Time in Feedforward Trajectories of a Recurrent Neural Network Model. Nicholas Hardy, Dean V. Buonomano A Single, Continuously-applied Control Policy for Modeling Reaching Movements With and Without Perturbation Zhe Li, Pietro Mazzoni, Sen Song, and Ning Qian A Perceptual-Like Population-Coding Mechanism of Approximate Numerical Averaging Noam Brezis, Zohar Z. Bronfman, and Marius Usher Statistics of Visual Responses to Object Stimuli From Primate AIT Neurons to DNN Neurons Qiulei Dong , Hong Wang, and Zhanyi Hu Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities Hiroaki Sasaki, Voot Tangkaratt, Gang Niu, and Masashi Sugiyama Rank-optimized Logistic Matrix Regression Towards Improved Matrix Data Classification Jianguang Zhang, Jianmin Jiang Joint Concept Correlation and Feature-Concept Relevance Learning for Multi-Label Classification Xiaowei Zhao, Zhigang Ma, Zhi Li, and Zhihui Li Feed-forward Approximations to Dynamic Recurrent Network Architectures Dylan Richard Muir ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From Tingting.Mu at manchester.ac.uk Wed Jan 24 12:33:47 2018 From: Tingting.Mu at manchester.ac.uk (Tingting Mu) Date: Wed, 24 Jan 2018 17:33:47 +0000 Subject: Connectionists: PhD position in University of Manchester Message-ID: <4E1E32A4-D65A-4B60-9084-498D1B98E93D@manchester.ac.uk> We are looking for highly creative and motivated PhD students to work on visual scene understanding in School of Computer Science, The University of Manchester, UK. Qualified applicants are strongly encouraged to informally contact the supervising academic Dr. Tingting Mu (tingting.mu at manchester.ac.uk, Homepage: http://personalpages.manchester.ac.uk/staff/tingting.mu) or Prof. Uli Sattler (Ulrike.Sattler at manchester.ac.uk, Homepage: http://www.cs.man.ac.uk/~sattler/) to discuss the application and possible research directions prior to applying. Understanding visual scenes is one of the fundamental objectives of computer vision. A first step in scene understanding is the detection and recognition of objects from the input images, such as "person" or "bicycle", which is well-understood. A second step is the detection of visual relations between objects such as "person on bicycle" in the images, which is currently far more challenging. Machine learning models, such as neural networks, can in general be used to construct a mapping from an input image to a set of semantic relationships (or a scene graph) between the detected objects. However, success of state-of-the-art scene relation/graph extraction systems relies on the use of a very large amount of labeled image examples, called "ground truth". This Ph.D. project will explore a different type of learning strategy, driven by information fusion and knowledge transfer. We plan to extend state-of-the-art example based learning to include: (1) processing and learning from existing knowledge in language domain and knowledge, and (2) integrating the learned knowledge with the image. We will analyse the trade-offs between purely ground-truth-based approaches and our extensions to include background knowledge, in particular for what kind of scenes what kind of knowledge can significantly reduce the need of ground truth. This project lies in the fields of machine learning, computer vision, ontology and description logic. We will consider applicants who have: * Some existing knowledge in some of the above fields. * Enthusiasm for research across the above research fields. * An excellent undergraduate degree in Computer Science or Mathematics (or related discipline), and preferably, a relevant M.Sc. degree. * Very good experience with computer programming of mathematical models and algorithms (in Python, Matlab or other platforms). * Excellent report writing and presentation skills. * Good ability to communicate with fellow students and colleagues. Please, note that applicants must additionally satisfy the standard requirements for postgraduate studies at the University of Manchester, such as a first-class or high upper-second class (or an equivalent international qualification) and English language qualifications, as stated in the PGR guidelines. -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefanm at alleninstitute.org Wed Jan 24 20:21:00 2018 From: stefanm at alleninstitute.org (Stefan Mihalas) Date: Thu, 25 Jan 2018 01:21:00 +0000 Subject: Connectionists: Scientist I/II in modeling visual behavior in mice at Allen Institute In-Reply-To: References: Message-ID: We are seeking to fill a position at the level of Scientist to work on computational and neuronal models of visually guided behavior. We use mouse vision as a model system. The Allen Institute for Brain Science is engaged in a major effort to quantitatively characterize the choices, states and neuronal activity during a set of visually guided behaviors. This position will focus on constructing simple models of behavior and neuronal activity, focused on understanding the computations implemented by the visual circuits. In addition, this position will also participate in team efforts of data analysis of both the behavioral and neuronal measurements. ESSENTIAL DUTIES AND RESPONSIBILITIES * Construct models of computations during a visually guided behavior. * Analyze how activities in the simulated networks related to the observed ones. * Participate in team efforts to analyze behavioral data. * Interact with groups performing simulations at other levels of resolution and with experimental groups. * Maintain clear and accurate communication with supervisor and team members. * Publish/present findings in peer-reviewed journals/scientific conferences. BASIC QUALIFICATIONS * PhD degree in computational neuroscience, physics, mathematics, applied mathematics or related field. * Strong background in scientific computing is required. * Strong publication record. * Strong background in scientific computing is required. * Experience in computational neuroscience is preferred. SCIENTIST I: 0-2 years postdoctoral experience in computational science SCIENTIST II: 3+ years postdoctoral experience in computational science PREFERRED QUALIFICATIONS: * Ability to meet aggressive timelines and deliverables in a collaborative environment. * Proven independent thinking and flexibility. * Strong written and verbal communication skills * Experience in pursuing research projects in collaborative fashion. Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. By implementing a team science approach on a large scale, we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory. Stefan Mihalas Assistant Investigator Allen Institute for Brain Science www.alleninstitute.org Affiliate Assistant Professor Department of Applied Mathematics University of Washington Shawn Olsen Assistant Investigator Allen Institute for Brain Science www.alleninstitute.org Affiliate Assistant Professor Physiology and Biophysics University of Washington -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Thu Jan 25 09:06:14 2018 From: benoit.frenay at unamur.be (Benoit Frenay) Date: Thu, 25 Jan 2018 15:06:14 +0100 Subject: Connectionists: Full-time lecturer in Computer Science Message-ID: Dear colleagues, The University of Namur is recruiting a full-time lecturer in the Faculty of Computer Science (http://www.unamur.be/info). Please find the full description on https://goo.gl/itcJhs, here below in plain text and attached in PDF (English and French). *Deadline is 31/01/18*. Additional information may be obtained from Prof. Vincent Englebert, Dean of the Faculty of Computer Science (doyen.info at unamur.be). Best regards, Prof. Beno?t Fr?nay ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ + + JOB VACANCY + +++++++++++ + + Full-time lecturer in Computer Science In the Faculty of Computer Science + +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Faculty : Faculty of Computer Science Grade : Lecturer Category : Academic staff Post : Allocation au cadre Reference : 296- 130 URL: https://goo.gl/itcJhs The University of Namur is recruiting a full-time lecturer in the Faculty of Computer Science (http://www.unamur.be/info). Job description =============== The Faculty of Computer Science provides cutting-edge teaching and research, with a view to putting computers at the service of society, taking account of their impact on the environment and respectful of the values of solidarity and sustainable development. This fits within a broad, holistic and inter-disciplinary vision of computer science. The specific orientation of the successful candidate shall reflect the broad and interdisciplinary vision of the Faculty and shall contribute to its global mission by targeting, for example, subjects such as large scale and distributed computing, software engineering and artificial intelligence. This orientation shall have at least a potential opening towards current fields of application in society, such as energy and sustainable development, healthcare, ageing, mobility, or intelligent objects (see EU themes). In addition, other areas of competence and application may also be taken into consideration, with qualifications being as important as the field of specialisation. The successful candidate shall be responsible for teaching on the Bachelors and Masters courses, for day-time and adult evening classes. They shall also supervise end-of-study theses. They shall use dynamic and stimulating teaching methods, following the innovative institutional teaching policy (PUNCH).? The successful candidate shall conduct research at international level in areas of computer science likely to lead to cooperation with other academic staff in the Faculty. They shall supervise doctoral theses. Through their research activities, they will contribute to the international visibility of the University. The specific orientation of the candidate shall reflect the broad interdisciplinary vision of the Faculty. Finally, they will end up providing service activities within the Faculty and/or the University. The Faculty will be particularly favourable to those candidates who show a capacity for openness, integration, evolution and for adapting both at thematic and at personal level. Qualifications required ======================= The successful candidate shall: - hold a doctorate in computer science or equivalent (the certificate ? to be awarded in the near future where appropriate); - show experience and/or teaching skills suitable for a university ? audience; - show the existence of scientific experience recognised by ? publications at international level; - master both spoken and written French in order to give lectures ? immediately within the remit and which shall be given in French. The following aspects shall be considered as attributes: - experience in university teaching and a particular aptitude for ? dynamic and stimulating teaching methods. - an academic posting of considerable duration in an institution other ? than where the thesis was written; - a capacity for working in a team and for integrating research ? results into teaching ; - creativeness and an awareness of teaching innovation and ? interdisciplinarity ; - a capacity for animating or even leading a team of researchers; - mastering both spoken and written English or a commitment to acquire ? such during the year following the taking up of the position, with ? the knowledge of other languages representing an additional ? advantage. Contract ======== Entry into service is expected to be 1 June 2018. The Management Board provides for a period of integration of two years if it is the first time that the candidate is appointed to the academic staff of the University of Namur. At the end of this period the candidate should be officially appointed in his post. The salary proposed is in accordance with the rate applied by all the universities in the Wallonia-Brussels Federation. (https://www.unamur.be/universite/jobs/baremes). Applications & additional information ===================================== Applications should be submitted using a form which can be downloaded from the UNamur website at the following address: http://www.unamur.be/universite/jobs/. The form should be sent before 31 January 2018 in paper format with signature to the Human Resources Service of the University of Namur, Rue de Bruxelles 61, 5000 Namur (Belgium), or by email to candidature at unamur.be. An electronic version of the application should also be sent to the Dean of the Faculty of Computer Science (secretariat.info at unamur.be). The form should be accompanied by - a letter of motivation ; - a full Curriculum Vitae; - a document summarising the candidate?s research plan as well as ? plans for the five years ahead (maximum 3 pages) ; - a document summarising the candidate?s proposed teaching programme ? (maximum 3 pages); - a maximum of 3 scientific articles; - course evaluations (if available). Candidates whose application is successful will be invited to give, during the two months following the deadline for applications, a lecture on a given subject and to present their research to Faculty members. Additional information may be obtained from Prof. Vincent Englebert, Dean of the Faculty of Computer Science (doyen.info at unamur.be). Environment =========== The University of Namur, with around 60 university courses in first, second and tertiary cycles and its 64 laboratories and research centres hosts nearly 7000 undergraduate and postgraduate students and has over 1200 staff members, including nearly one thousand researchers. Within the University of Namur the Faculty of Computer Science has over 400 students on daytime and evening/Saturday timetable, 80 members of staff including 18 professors and around 50 researchers. Founded in 1968, the Faculty of Computer Science has trained over 1,800 high-level computer science graduates since then. The Faculty of Computer Science provides cutting-edge teaching and research, with a view to putting computers at the service of society, taking account of their impact on the environment and respectful of the values of solidarity and sustainable development. The Faculty is a founder member of the Namur Digital Institute (NADI) which groups together over 150 researchers in the field of digital technology. Research in the Faculty is focused on information and communications systems. The Faculty contributes to the development of such systems through different aspects of engineering (information engineering, software engineering, networks) and basic aspects (models, languages and methods). It has a multi-disciplinary approach and addresses in particular the issues and challenges of computer science in organisations and in society. The Faculty has therefore developed strong research synergies with other disciplines such as law, management, sociology and ethics. Capital of Wallonia, Namur is a highly convivial town with 100,000 inhabitants located 50 km south of Brussels, at 2h50 from Paris and 3h30 from London. -- Beno?t FR?NAY Associate Professor Faculty of Computer Science T. +32 (0)81 724 976 (secr. 725 252) F. +32 (0)81 724 967 benoit.frenay at unamur.be Universit? de Namur ASBL Rue de Bruxelles 61 - 5000 Namur Let?s respect the environment together. Only print this message if necessary! -------------- next part -------------- An HTML attachment was scrubbed... URL: From gouhei at sat.t.u-tokyo.ac.jp Fri Jan 26 00:19:22 2018 From: gouhei at sat.t.u-tokyo.ac.jp (Gouhei Tanaka) Date: Fri, 26 Jan 2018 14:19:22 +0900 Subject: Connectionists: The 3rd Workshop on Bio-Inspired Energy-Efficient Information Systems Message-ID: <1516943962141819.71159127@localhost> (Apologies if you received multiple announcements) The 3rd Workshop on Bio-Inspired Energy-Efficient Information Systems This workshop will be held on March 12th, 2018 at Fukutake Hall in Hongo campus of The University of Tokyo. The workshop consists of plenary and invited talks by distinguished professors and researchers from various research fields (fundamentals, modelling, electronic devices/systems), aiming at addressing and discussing critical issues for implementing bio-inspired energy-efficient information systems. *********************************************************** Date: March 12 (Mon), 2018, 13:00-18:00 Place: Fukutake Hall, Hongo campus, The University of Tokyo Organizers? EEIP-SCP, IIIEE, The University of Tokyo ??? IBM Research - Tokyo Web site: http://park.itc.u-tokyo.ac.jp/EEIP-SCP/workshop20180312/index.html Registration fee: free (Discussion after the workshop: \1,000 for non-students; free for students) Contact: all at webpark1846.sakura.ne.jp *********************************************************** [Plenary talks] - Spike Narayan (IBM Research - Almaden) "Brain Inspired Approach to AI - A Hardware Perspective. IBM Research - Almaden" - Masatoshi Ishikawa (The University of Tokyo) "Dynamic Intelligent System Using High-speed Vision and Its Applications" [Invited talks] - Hiroyuki Akinaga (AIST) and Tetsuya Asai (Hokkaido Univ.) "AI Hard- and Soft- Synchronized Developments" - Ferdinand Peper (CiNET) "Neuromorphic Sensor Networks: Towards an Internet of Everythings?" - Hirokazu Takahashi (The University of Tokyo) "Cortical systems as spontaneously active reservoir" - Takayuki Osogami (IBM Research - Tokyo) "Time-series learning with dynamic Boltzmann machines" Regards, the organizing team From romain.veltz at inria.fr Fri Jan 26 03:47:23 2018 From: romain.veltz at inria.fr (Romain Veltz) Date: Fri, 26 Jan 2018 09:47:23 +0100 Subject: Connectionists: POSTDOC OFFER in Theoretical Neurosciences (FUNDED BY THE HBP : SP4 (theory)) Message-ID: <8C6A6AE1-C7EA-49CB-88ED-16C35F946B9F@inria.fr> Dear all, We are offering a two-year postdoc position to work within the Inria MathNeuro team (Sophia Antipolis, France) on Mean-field descriptions or thermodynamics limits of large populations of neurons. We are particularly interested to study multiple-time scale phenomena within this framework. The position is within the SP4 (Theory) of the HBP . Candidates should have a background in mathematics or physics. Of particular to us are familiarity of the candidate with slow-fast dynamical systems, singular perturbation theory, bifurcation theory, probability theory, and a strong interest in applying these theories to neuroscience. Ability and willingness to do programming will also be a strong point to select candidates. They will be expected to interact with other participants of SP4 as well as with some participants of SP3. Interested candidates should send a CV and a short research proposal regarding the proposed topic (maximum one page) to one of the following address: mathieu.desroches at inria.fr , olivier.faugeras at inria.fr , romain.veltz at inria.fr Deadline for applying: 28 February 2018. Expected start date: 1st June 2018. Best regards Romain Veltz MathNeuro Project Team Inria Sophia Antipolis M?diterran?e 2004 Route des Lucioles-BP 93 FR-06902 Sophia Antipolis Tel: +33 4 92 38 76 90 http://romainveltz.pythonanywhere.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tony.Pipe at brl.ac.uk Fri Jan 26 05:33:40 2018 From: Tony.Pipe at brl.ac.uk (Tony Pipe) Date: Fri, 26 Jan 2018 10:33:40 +0000 Subject: Connectionists: Professor of Autonomous Robot Vehicles In-Reply-To: <60471384-2b1e-9217-367d-c103b704c214@brl.ac.uk> References: <60471384-2b1e-9217-367d-c103b704c214@brl.ac.uk> Message-ID: <1c357c5f-6949-71b2-1838-17fa3a05e770@brl.ac.uk> Job title: Professor of Autonomous Robot Vehicles Department: Bristol Robotics Laboratory Campus/location: Frenchay, Bristol campus Salary band: ?61,196 - ?88,361 - commensurate with experience and qualifications Duration of post: Permanent Closing date: 28 January 2018 @ 23:59 Job Overview: The Bristol Robotics Laboratory at the Faculty of Environment & Technology have an exciting permanent and full time position for a Professor of Autonomous Robot Vehicles to join BRL within the Engineering, Design & Mathematics Department. The Robotics and Autonomous Systems (RAS) research-and-innovation pipeline is now experiencing unprecedented growth, evidenced by substantial new research opportunities appearing across the UK, EU and global funding landscape. We are therefore looking to appoint a Professor of Autonomous Robot Vehicles. Due to substantial existing external funding for Research and Development in the Connected Autonomous Vehicle (CAV) sub-thematic area, there will be an initial strong emphasis on terrestrial vehicles. However, we would promote extension and integration activities to take full advantage of the other areas of existing vehicle research in Bristol Robotics Laboratory, so you will build on significant existing strengths to champion an exciting new research theme of wider scope that could include terrestrial, aerial and underwater Autonomous Robot Vehicles. Prime amongst the techniques to be investigated are: a) Effective and appropriate use of advanced wireless technologies for vehicle-to-vehicle and vehicle-to-infrastructure communications, especially with respect to coordinated group activity; b) Decision Making Systems, especially their effectiveness and safety in the presence of experiential learning; c) Environmental sensor and perception systems and their effective interfacing both to vehicle lower-level control and Decision Making Systems. We are looking for a candidate that could take on the challenge of joining these common factors across the application domains of vehicle categories, i.e., a candidate who will work with and grow our existing teams to make best use of our extensive facilities. These facilities include simulated and advanced wirelessly network connected real-world road-going and indoor mobile vehicle testing, a substantial instrumented flying arena, and similarly instrumented underwater vehicle facilities. We welcome applications from gifted researchers from strongly linked disciplines who are fully committed to developing one or more of the areas of research outlined above. Those applicants, who are willing to exploit the full innovation pipeline via our extensive in-house business incubator facilities, as well as undertaking fundamental research, will be viewed especially favourably. In addition to progressive pay rates, UWE Bristol also offers: ? a generous holiday allowance of 35 Days ? up to 12.5 bank holiday/closure days per year in addition; ? flexible working; ? excellent defined benefit pension schemes; ? option to participate in the cycle to work scheme; ? family friendly policies; ? onsite nursery at our Frenchay Campus; ? option to purchase childcare vouchers. This post is based in the Bristol Robotics Laboratory at our Frenchay campus. Please see the attached full job description and person specification for the role. If you have any queries or would like an informal discussion, please contact Tony Pipe on 01173286330 or email: Tony.Pipe at brl.ac.uk. Link to Bristol Robotics Laboratory with more details of the laboratory and full advert is: http://www.brl.ac.uk (http://www.brl.ac.uk/jobsatbrl.aspx for advert only). Alternative link for more details of the role and how to apply, please visit: http://www.jobs.ac.uk/job/BGJ285/professor-of-autonomous-robot-vehicles/ -- Tony Pipe Professor of Robotics and Autonomous Systems Deputy Director: Bristol Robotics Laboratory Bristol Robotics Laboratory T-Building Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ttrogers at wisc.edu Fri Jan 26 11:45:57 2018 From: ttrogers at wisc.edu (TIMOTHY T ROGERS) Date: Fri, 26 Jan 2018 16:45:57 +0000 Subject: Connectionists: 6 days to CogSci 2018 deadline! Message-ID: CogSci 2018 40th Annual Meeting of the Cognitive Science Society Changing Minds Madison, United States July 26 - 28, 2018 (Tutorials & Workshops: July 25, 2018) The online submission is now open. You may review the criteria and make your submission at: http://www.cognitivesciencesociety.org/conference/cogsci-2018/submissions/ ____________________________________________________________ Highlights Include: Plenary Speakers: Helen Neville, University of Oregon Matt Botvinick, Google DeepMind Michael Kearns, University of Pennsylvania 16th Rumelhart Prize Presentation: Michael Tanenhaus, University of Rochester Invited Symposia: Big Data Goes to School Burr Settles, Duolingo Art Graesser, University of Memphis Steve Ritter, Carnegie Learning Marcia Linn, UC-Berkeley The Cognitive Science of Persuasion David Rand, Yale University Ulrike Hahn, Birkbeck- U of London Colleen Seifert, University of Michigan Dan Kahan, Yale University Cognitive scientists from around the world are invited to attend CogSci 2018! The Annual Meeting of the Cognitive Science Society is the world's premiere annual conference the interdisciplinary study of cognition. Cognitive Science draws on a broad spectrum of disciplines, topics, and methodologies, and CogSci 2018 reflects this diversity in its theme. In addition to the invited presentations, the program will be filled with competitive peer-reviewed submissions of several kinds: research papers, contributed symposia, publication-based talks, member abstracts, tutorials, and workshops. Submissions may report on work involving any approach to Cognitive Science, including, but not limited to, anthropology, artificial intelligence, computational cognitive systems, cognitive development, cognitive neuroscience, cognitive psychology, education, evolution of cognition, linguistics, logic, machine learning, network analysis, neural networks, philosophy, and robotics. Please see the submissions page on the conference website for submission categories, including a new option to publish only the abstract portion of 6-page submissions. The deadline for submissions is February 1, 2018. All submissions must be made via the conference program website. Information regarding the submission process may be found at: http://www.cognitivesciencesociety.org/conference/cogsci-2018/submissions/ Conference Co-Organizers: Chuck Kalish, Martina Rau, Jerry Zhu, & Timothy Rogers -------------- next part -------------- An HTML attachment was scrubbed... URL: From 2018 at encods.eu Mon Jan 29 02:13:21 2018 From: 2018 at encods.eu (=?utf-8?Q?Encods2018=20Organising=20Committee?=) Date: Mon, 29 Jan 2018 07:13:21 +0000 Subject: Connectionists: =?utf-8?q?Register_to_ENCODS_2018_-_FENS_satellit?= =?utf-8?q?e_Event?= Message-ID: <6fe5b340a4b3a8c1ae5a27047.de4f37a5a6.20180129071311.9b6fa24d50.036c13de@mail224.suw16.rsgsv.net> European Conference by Doctoral Students in FENS You still have time until January 31st to register to ENCODS 2018! Don't stay out of this unique experience for doctoral students. Please find below all the information you need to register. Dear fellow Neuroscience PhD students, We are pleased to invite you toENCODS 2018. We are a conference organised for and by doctoral students and a partner of FENS (Federation of European Neurosciences). ENCODS is a well-established international conference that started 2013 in Bordeaux and has since grown to become a leading event inspiring young scientists in the field of neuroscience. We aim to increase scientific exchange by bringing together young researchers, established scientists and visionaries. This new edition ofENCODS 2018 in Berlin, Germany is designed to move beyond the at times rigid speaker-audience concept by including a wide range of original activities to create a dynamic environment for new ideas and networking among scientists. What? ENCODS ? the European Neuroscience Conference by Doctoral Students When? 5^th-6^th July 2018 Where? Berlin, Germany Who? Doctoral students from every discipline within the field of neuroscience How? Register for ENCODS 2018 at https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&id=2f82be874a&e=de4f37a5a6 Please note that registration will open from 1^st December 2017 - 31^st January 2018. Registration fee waivers and travel grants are available, pending availability and application approval. For more information about us and our programme take a look at our poster (attached) or visit us in our social media: https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&id=7cae625e63&e=de4f37a5a6 https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&id=c79e04b4d0&e=de4f37a5a6 https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&id=0b86b59c84&e=de4f37a5a6 We look forward to seeing you there! The ENCODS 2018 Berlin Team ============================================================ ** (https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&id=3920b4b949&e=de4f37a5a6) ** (https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&id=5611d646f9&e=de4f37a5a6) ** (https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&id=3011f53e1f&e=de4f37a5a6) ** (https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&id=e667f76afa&e=de4f37a5a6) Copyright ? 2018 Encods2018, All rights reserved. You are receiving this e-mail because you were interested to participate in ENCODS2017 Our mailing address is: Encods2018 Philippstr. 13 Building 4 (Ostertaghaus) Berlin 10115 Germany Want to change how you receive these emails? You can ** update your preferences (https://fens.us17.list-manage.com/profile?u=6fe5b340a4b3a8c1ae5a27047&id=070a7067a3&e=de4f37a5a6) or ** unsubscribe from this list (https://fens.us17.list-manage.com/unsubscribe?u=6fe5b340a4b3a8c1ae5a27047&id=070a7067a3&e=de4f37a5a6&c=9b6fa24d50) . Email Marketing Powered by MailChimp http://www.mailchimp.com/monkey-rewards/?utm_source=freemium_newsletter&utm_medium=email&utm_campaign=monkey_rewards&aid=6fe5b340a4b3a8c1ae5a27047&afl=1 -------------- next part -------------- An HTML attachment was scrubbed... URL: From fernando.perezcruz at sdsc.ethz.ch Mon Jan 29 02:30:45 2018 From: fernando.perezcruz at sdsc.ethz.ch (Perez Cruz Fernando (SDSC)) Date: Mon, 29 Jan 2018 07:30:45 +0000 Subject: Connectionists: [CfP] IEEE Data Science Workshop Message-ID: CALL FOR PAPERS IEEE Data Science Workshop, June 4-6, 2018 Lausanne, Switzerland Website: http://2018.ieeedatascience.org Contact: contact at 2018.ieeedatascience.org ****Submission Deadline: Feb 23, 2018**** The 2018 IEEE Data Science Workshop is a new workshop that aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science theory and applications. In particular, the event will gather researchers and practitioners in various academic disciplines of data science, including signal processing, statistics, machine learning, data mining and computer science, along with experts in academic and industrial domains, such as personalized health and medicine, earth and environmental science, applied physics, finance and economics, intelligent manufacturing. The scientific program will include invited plenary talks, as well as regular oral and poster sessions with contributed research papers, and data challenge sessions. Papers are solicited in (but not limited to) the following topics: ? Computational models and representation for data science. Tensor factorizations. Compressive sampling. Randomized linear algebra. Graph simplifications and multiresolution representations. Transformations and spectral representations. Distributed algorithms. ? Acquisition, storage, and retrieval for large-scale data science. Hardware and architectures. Software and Cyber-infrastructure. Protocols for networked storage. Compression for data storage. Sketching and streaming. Scaling up algorithms. ? Visualization, summarization, and analytics. Data presentation architectures and dashboards. Data visualization and human perception / cognition. Business intelligence. Data wrangling. ? Learning, modeling, and inference with data. Graph signal processing. High-dimensional spatiotemporal modeling. Theoretical limits. Anomaly detection. Graph learning. Statistical modeling of heterogeneous data types. Post-selection inference. Analysis of deep learning algorithms. Crowdsourcing. Stream mining. Statistical uncertainty quantification. ? Data science education. Innovative approaches to teaching data science. Data-informed learning theory. Learning analytics. ? Data science process and principles. Reproducible research. Open source data science. Workflow. Meta-analysis. Data science ethics. Automation of data science via meta-learning. Algorithmic fairness. Bias in science. ? Applications. Social media, recommendation systems and collaborative filtering. Defense, intelligence and security. Biology and medicine. Astronomy and other physical sciences. Audio, image, video analytics and computer vision. Urban informatics. Social sciences. Business analytics, forensics and finance. Applications leveraging domain knowledge for data science. PAPER SUBMISSION Papers should be at most four pages long in double-column format. Information regarding the submission process is available on the workshop website. SPECIAL SESSIONS Special session proposals can be submitted through the workshop website. They must include a topical title, session outline, contact information of proposers, and the list of invited papers and authors. Special session authors are referred to the workshop website for additional information regarding the submission process. GRAND CHALLENGES Exciting data challenges with real-world impact will be communicated in time before the workshop. The challenges will be hosted by crowdAI.org and powered by RENGA, the SDSC analytics platform for collaborative open science. AWARDS Three types of awards are being set up: Best Paper Award, Best Student Paper Award and the Grand Challenges Award. The selection criteria for these awards include the scientific quality of the paper and the presentation of the oral contribution or challenge presentation. IMPORTANT DATES Submission of full papers: February 23, 2018 Notification of acceptance: April 6, 2018 Author advance registration: May 1, 2018 Camera-ready paper submission: May 1, 2018 COMMITTEE General Chairs Olivier Verscheure, SDSC, Switzerland Pascal Frossard, EPFL, Switzerland Technical Program Chairs Antonio Ortega, USC, USA Eric Kolaczyk, BU, USA Keynote Speakers Chair Philippe Cudr?-Mauroux, University of Fribourg, Switzerland Special Sessions Chair Deepak Turaga, IBM Research, USA Grand Challenges Chair Marcel Salath?, EPFL, Switzerland Finance Chair Dorina Thanou, SDSC, Switzerland Publication Chair Xiaowen Dong, University of Oxford, UK Publicity and Local Arrangements Chair Floriane Jacquemet, SDSC, Switzerland -------------- next part -------------- An HTML attachment was scrubbed... URL: From ale at sissa.it Mon Jan 29 00:15:22 2018 From: ale at sissa.it (Alessandro Treves) Date: Mon, 29 Jan 2018 06:15:22 +0100 Subject: Connectionists: M-GATE School: Under the Surface of Memory Phenomena Message-ID: <20180129061522.Horde.am86Uh8V4mxabq3qk58k30A@webmail.sissa.it> TEX2018, the Cognitive Neuroscience summer activity at SISSA, Trieste will host this year "Under the Surface of Memory Phenomena", a school https://indico.sissa.it/e/tex2018/ organized by the M-GATE Innovative Training Network (https://www.mgate.eu/), open to other participants, from June 25 to July 3 2018. Apply now for 10-night accommodation, at cost (340 Euro), or register for self-organized participation (within space constraints), and join us also for the in-set symposium Remembering Daniel Amit, and Beyond! Deadline for applications April 2. Clever inquiries from tex at sissa.it -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602 From salah at boun.edu.tr Mon Jan 29 02:29:40 2018 From: salah at boun.edu.tr (Albert Ali Salah) Date: Mon, 29 Jan 2018 16:29:40 +0900 Subject: Connectionists: CFP: HBU 2018 - extended deadline Message-ID: CALL FOR PAPERS: 8th Int. Workshop on Human Behavior Understanding (HBU) in conjunction with 2nd Int. Workshop on Automatic Face Analytics for Human Behavior Understanding (FaceHUB) at IEEE Face & Gesture 2018 - Xi'An, 15-19 May 2018 https://www.cmpe.boun.edu.tr/hbu/2018/ Workshop Description With development of computer vision and sensor technology, it becomes possible to analyze human behavior via various ways at different time-scales and at different levels of interaction and interpretation. Understanding human behavior automatically opens up enormous possibilities for human-computer interaction, with a potential of endowing the computers with a capacity to attribute meaning to users' attitudes, preferences, personality, social relationships, etc., as well as to understand what people are doing, the activities they have been engaged in, and their routines. This workshop aims to inspect developments in selected areas where smarter computers that can sense human behavior have great potential to revolutionize the application domain. We ultimately seek to re-define the relationship between the computer and the interacting human, moving the computer from a passive observer role to a socially active participant role and enabling it to drive different kinds of interaction. The 8th Int. Workshop on Human Behavior Understanding (HBU) and 2nd Int. Workshop on Automatic Face Analytics for Human Behavior Understanding (FaceHUB) are jointly organized at IEEE FG as a single-track, one day event, to gather researchers on behavior analysis and analytics. It will have two specific focus sessions dealing with "face analytics" and "behavior analysis for smart cars". Session 1 "Face analytics": There is strong evidence that face analytic for human behavior understanding could also be highly beneficial in human computer interaction. Application scenarios include analyzing emotions while the person is watching emotional movies or advertisements, playing video games, driving a car, is under health monitoring or crime investigation, or is participating in interactive tutoring. Furthermore, long-term continuous monitoring and analysis of expressions provides important information for assessing personality but also provide cues of psychological disorders. Session 2 "Behavior analysis for smart cars": The computational capabilities of cars are rapidly increasing. While a lot of attention is directed towards what goes on outside the car, and to autonomous driving systems, the inside of the car is very interesting too. In the transition period from human-driven cars to fully autonomous cars, there is great interest in improved driver assistance, safety, and comfort systems. When the fully autonomous car is realized, there will still be a need for looking inside the car, for better car-customer interaction. This workshop will solicit human behavior analysis solutions that clearly advance the field, and also to propose novel application scenarios. The covered topics may span items from the following topics, including the focus theme challenges: Session 1: Face analytics ************************* -Automatic deception detection -Deep learning models for facial analysis -Face alignment and fiducial point detection -Continuous and dynamic facial behavior analysis -Emotion recognition in the wild -Temporal models for face analysis -Facial action unit detection and recognition -Group emotion analysis -Long-term behaviors and interaction -Micro-expression detection, recognition and understanding -Spontaneous affect databases: collection and annotation -Cross-domain facial expression recognition -Spontaneous facial expression analysis -Multimodal emotion recognition Session 2: Behavior analysis for smart cars ******************************************* -Advanced driver assistance systems, assisting elderly drivers -Behavior analysis for car safety -Car driving simulation analysis -Driver identification and biometrics -Driver's face monitoring, drowsiness and fatigue detection -Head pose and attention tracking -Human factors and driver personalization -Human-car interaction -In-car social signals: aggression, frustration, boredom -Multimodal interactive systems in cars -Posture assessment and comfort analysis Human Behavior Analysis Systems ******************************* -Action and activity recognition -Single and multimodal affect analysis -Gaze, attention and saliency -Gestures and haptic interaction -Learning and adaptation -Social signal processing -Voice and speech analysis Theory and Methodology of Human Interactive Behaviors ***************************************************** -Data collection, annotation, and benchmarking -Interaction design -Theoretical frameworks of behavior analysis -User studies and human factors Submission Submission site is open, and accessible at: https://easychair.org/conferences/?conf=hbu2018 Each paper will be reviewed by at least two members of the scientific Program Committee, in double-blind fashion. The submitted papers should present original work, not currently under review elsewhere and should have no substantial overlap with already published work. Submissions should be submitted in PDF and should be no more than 8 pages in IEEE FG 2018 paper format. Accepted papers will be included in the Proceedings of IEEE FG 2018 and Workshops and will be sent for inclusion into the IEEE Xplore digital library. Dates 4 February, Submission deadline 24 February, Notification of acceptance 1 March, Camera ready submission 15 May, Tentative workshop date Special Issues Two journal special issues are organized from the two focus themes of the HBU Workshop. One issue on behavior analysis for smart cars will be edited as a thematic issue of Journal of Ambient Intelligence and Smart Environments. A second issue on automatic face analytics for human behavior understanding will be edited as a special issue of Image and Vision Computing. Authors will be invited to submit suitably extended versions of their papers to these special issues. Keynotes Stephen Brewster, University of Glasgow, "Designing new user interfaces for cars" * Second keynote will be announced soon. *(sponsored by the ACM Distinguished Speakers program) People Program Committee Tadas Baltru?aitis, Microsoft Corporation, UK Wei Chen, China University of Mining and Technology, CN Adrian Davison, University of Manchester, UK Hamdi Dibeklio?lu, Bilkent University, TR Jordi Gonz?lez, CVC Barcelona, ES J?rgen Gall, Univ. of Bonn, DE Heikki Huttunen, Tampere University of Technology, FI Julian Kooij, Delft University of Technology, NL Peng Liu, Aware, US Marwa Mahmoud, Univ. of Cambridge, UK Matei Mancas, Univ. of Mons, BE Javier J. Sanchez Medina, ULPGC, ES Teruhisa Misu, Honda Research Institute, US Wenxuan Mou, Queen Mary University of London, UK Eshed Ohn-Bar, Carnegie Mellon University, US Shogo Okada, JAIST, JP Yannis Panagakis, Imperial College London, UK Senya Polikovsky, Max Planck Institute for Intelligent Systems, DE Nicu Sebe, University of Trento, IT Caifeng Shan, Philips Research, NL Karan Sikka, Stanford Research Institute, US Xiaoyang Tan, Nanjing University of Aeronautics and Astronautics, CN Yan Tong, University of South Carolina, US Fernando De la Torre, Facebook, US Mohan M. Trivedi, University of California San Diego, US Ruiping Wang, Chinese Academy of Sciences, CN Sujing Wang, Chinese Academy of Sciences, CN Jacob Whitehill, Worcester Polytechnic Institute, US Lijun Yin, University of Binghamton, US Zeynep Y?cel, Okayama University, JP Organizers Carlos Busso, Univ. of Texas at Dallas Xiaohua Huang, Univ. of Oulu Takatsugu Hirayama, Nagoya Univ. Guoying Zhao, Univ. of Oulu & Northwest Univ. of China Albert Ali Salah, Bo?azi?i Univ. & Nagoya Univ. Matti Pietik?inen, Univ. of Oulu Roberto Vezzani, Univ. of Modena and Reggio Emilia Wenming Zheng, Southeast Univ. Abhinav Dhall, Indian Institute of Technology, Ropar -- Dr. Albert Ali Salah http://www.cmpe.boun.edu.tr/~salah/ Nagoya University, Future Value Creation Research Center (FV-CRC), Graduate School Informatics Bogazici University, Computer Engineering Dept. & Cognitive Science MA Program http://www.cogsci.boun.edu.tr From arokem at gmail.com Mon Jan 29 00:12:48 2018 From: arokem at gmail.com (Ariel Rokem) Date: Sun, 28 Jan 2018 21:12:48 -0800 Subject: Connectionists: Neurohackademy: summer school in neuroimaging and data science, July 30th - August 10th, 2018 Message-ID: We are happy to announce a call for applications to participate in Neurohackademy 2018! This two-week hands-on workshop (formerly "Neurohackweek"), held at the University of Washington eScience Institute in Seattle, July 30th - August 10th, 2018, will focus on technologies used to analyze human neuroscience data, on methods used to extract information from large datasets of publicly available data (such as the Human Connectome Project, OpenfMRI, etc.), and on tools for making human neuroscience research open and reproducible. Neurohackademy sessions in the first week will include lectures and tutorials on data science, machine learning, data visualization and data resources. The second week will be devoted to participant-directed activities: guided work on team projects, hackathon sessions, and breakout sessions on topics of interest. Instructors include Deanna Barch, Eva Dyer, Fernando Perez, Russ Poldrack, Jake Vanderplas, Gael Varoquaux, Tor Wager, and Kirstie Whitaker, among others. *For more details, see: https://neurohackademy.github.io/ * We are now accepting applications to participate from trainees and researchers in different stages of their career (graduate students, postdocs, faculty, and research staff) at: https://form.jotform.com/80126067304145 Ideally, applicants should have some prior experience with neuroscience data analysis, but we welcome applications from participants with a variety of relevant backgrounds. Accepted applicants will be asked to pay a fee of $200 upon final registration. This fee will include participation in the course, accommodation in the UW dorms, and two meals a day (breakfast and lunch), for the duration of the course. A limited number of fee waivers and travel grants will be available. We encourage students with financial need and students from groups that are underrepresented in neuroimaging and data science to apply for these grants (see application form for details). *Important dates:* *March 19th: Application deadline* *April 5th: Notification of acceptance* *April 23rd: Final registration deadline* On behalf of the instructors, Ariel Rokem, University of Washington Tal Yarkoni, University of Texas, Austin -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Mon Jan 29 02:26:56 2018 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Mon, 29 Jan 2018 07:26:56 +0000 Subject: Connectionists: =?windows-1252?q?Fw=3A_Special_Issue_of_IEEE_Tran?= =?windows-1252?q?sactions_on_Human-Machine_Systems_on_=93Computational_Hu?= =?windows-1252?q?man_Performance_Modeling_for_Human-Machine_Systems_Desig?= =?windows-1252?q?n=94?= In-Reply-To: <32f1ea0bc0e0464f8c6d134e211df7dd@MBX-NR2.itorg.ad.buffalo.edu> References: <32f1ea0bc0e0464f8c6d134e211df7dd@MBX-NR2.itorg.ad.buffalo.edu> Message-ID: Some of us may be interested in the following special issue: Call for Papers Computational Human Performance Modeling for Human-Machine Systems Design Special Issue of IEEE Transactions on Human-Machine Systems In many complex human-in-the-loop systems, humans often represent the greatest source of variability in overall system performance. For this reason, the field of human performance modeling (HPM) has developed to describe and quantify various types of human behavior as well as provide a basis for predictions of performance under specific task circumstances. Although many forms of models have emerged in the literature, including qualitative, quantitative, mathematical and computational, the latter form has substantial utility for application in systems design and engineering as well as real-time control applications to support safety and performance. This special issue will focus on recent advances in mathematical and computer simulation-based models for quantifying and predicting human performance, including cognitive and physical behaviors. Such models are based on fundamental understanding of human information processing and human interaction with real-world systems. Model outcomes include task time estimates as well as predictions of errors, levels of cognitive workload, situation awareness and decision outcomes. Human factors researchers and practitioners use results obtained from these models to design, evaluate, and improve human-machine systems. To emphasize the importance of HPM in human-machine system design and evaluation, this issue invites highquality HPM papers addressing the following three types of research contribution: 1. Model development: Descriptions of computational model(s) of human performance and behavior that are theoretically grounded in cognitive science and/or information processing theory. 2. Model validation: Descriptions of approaches to validating human performance model predictions with empirical data (e.g., reporting R square values, root mean square error, etc.) 3. Systems design or evaluation: Descriptions of how model outcomes have been (or can be) translated and applied for specific system design. Papers should make clear how models can be introduced into the systems design process. Alternatively, papers should describe how model outcomes can be used (or have been used) for evaluation of human performance with real machine systems in actual applications as a basis for improving legacy technology. For the purposes of this special issue, a human-machine system is considered to be any real-world system involving human-in-the-loop control for (near) real-time information processing and/or decision making. This definition can include various systems in: industry, transportation, space, healthcare, power and energy, military applications, cyber security, and service. Models of consumer device use or robotics with human-in-the-loop control are also suitable. (Potential contributors should contact the guest editors with inquiries regarding other human-machine application areas.) Important Dates: Original manuscript submission due date: April 1 st, 2018 Initial decision notification: July 1 st, 2018 Revised manuscript due date: September 1 st, 2018 Final decision notification: December 1 st, 2018 Final version of manuscript due date: February 1 st , 2019 Manuscripts should be submitted at: http://mc.manuscriptcentral.com/thms . All submissions must include a cover letter with the statement, ?Computational Human Performance Modeling.? For detailed submission information, please see the ?Information for Authors? at: http://www.ieeesmc.org/publications/transactions-on-human-machinesystems/information-for-authors. Guest Editors Changxu Wu (Lead), Department of Systems and Industrial Engineering, University of Arizona, changxuwu at email.arizona.edu Matthew L. Bolton (Associate), Department of Industrial and Systems Engineering, University at Buffalo, mbolton at buffalo.edu Ling Rothrock (Associate), Department of Industrial and Manufacturing Engineering, Pennsylvania State University, lrothroc at psu.edu ________________________________ From: Bolton, Matthew Sent: Saturday, January 27, 2018 2:47 PM To: Donald Adjeroh; nxagarwal at ualr.edu; kathleen.carley at cs.cmu.edu Subject: Special Issue of IEEE Transactions on Human-Machine Systems on ?Computational Human Performance Modeling for Human-Machine Systems Design? Hi Kathleen, Nitin, and Donald: The IEEE Transactions on Human-Machine Systems is accepting submission for a special issue on ?Computational Human Performance Modeling for Human-Machine Systems Design? under guest editors: Changxu Wu (Lead), Department of Systems and Industrial Engineering, University of Arizona, changxuwu at email.arizona.edu; Matthew L. Bolton (Associate), Department of Industrial and Systems Engineering, University at Buffalo, mbolton at buffalo.edu; and Ling Rothrock (Associate), Department of Industrial and Manufacturing Engineering, Pennsylvania State University, lrothroc at psu.edu The deadline for submissions is April 1, 2018. Additional details and dates can be found in the attached pdf. Author instructions can be found at http://www.ieeesmc.org/publications/transactions-on-human-machine-systems/information-for-authors. We thought this might be of interest to the BRIMS community. Would you be willing to forward this announcement to them? Thanks! Matthew L. Bolton Assistant Professor Department of Industrial and Systems Engineering University at Buffalo, the State University of New York 716-645-2359 http://fhsl.eng.buffalo.edu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Mon Jan 29 03:25:28 2018 From: mpavone at dmi.unict.it (Mario Pavone) Date: Mon, 29 Jan 2018 09:25:28 +0100 Subject: Connectionists: MESS 2018 - from Design to Implementation - Taormina, Italy, 21-25 July 2018 Message-ID: <20180129092528.Horde.OggwU_ph4B9abtp4Sa6H5xA@mbox.dmi.unict.it> Call for Participation (apologies for multiple copies) -- SECOND ANNOUNCEMENT AND FINAL LIST OF LECTURERS -- ----------------------------------------------------------------------- MESS 2018 - Metaheuristics Summer School - from Design to Implementation - 21-25 July 2018, Taormina, Italy https://www.ANTs-lab.it/mess2018/ mess.school at ANTs-lab.it ----------------------------------------------------------------------- ** APPLICATION DEADLINE: 15th April 2018 ** MESS 2018 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. As first edition, MESS 2018 wants to analyze all metaheuristics from its designing to its implementation. In particular, in MESS 2018 will be analyzed modern heuristic methods for search and optimization problems, as well as the classical exact optimization methods, seen also in the metaheuristics context. All participants will have plenty of opportunities for debate and work with leaders in the field, benefiting from direct interaction and discussions in a stimulating environment. They will also have the possibility to present their recently results and/or their working in progress through oral or poster presentations, and interact with their scientific peers, in a friendly and constructive environment. ** Confirmed Speakers + Christian Blum, IIIA-CSIC, Barcelona, Spain + Juergen Branke, Warwick Business School, UK + Salvatore Greco, University of Catania, Italy & University of Portsmouth, UK + Yaochu Jin, University of Surrey, UK + Gunther Raidl, Technische Universitat Wien, Austria + Helena Ramalhinho Lourenco, Universitat Pompeu Fabra, Spain + Mauricio Resende, AMAZON, USA + Celso Ribeiro, Universidade Federal Fluminense, Brazil + Andrea Schaerf, University of Udine, Italy + Fabio Schoen, Unviersity of Florence, Italy + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy ** Short Talk and Poster Presentation All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. Mini-Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted by *April 15, 2018*. ** Metaheuristics Competition All students of the school will be invited to the ?Metaheuristics Competition?, where each of them, divided in working groups, will develop a metaheuristic solution on a given problem. ** Certificate: Participants will be delivered a certificate of attendance indicating the number of hours of lectures. ** School Directors + Salvatore Greco, University of Catania, Italy + Panos Pardalos, University of Florida, USA + Mario Pavone, University of Catania, Italy + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy ** Oral & Poster Presentation Organizers + Luca Di Gaspero, Unviersity of Udine, Italy + Paola Festa, University of Naples "Federico II", Italy ** Metaheuristics Competition Chair + Raffaele Cerulli, University of Salerno, Italy ** More Information: https://www.ANTs-lab.it/mess2018/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school -- Dr. Mario Pavone (PhD) Assistant Professor Department of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy tel: 0039 095 7383034 fax: 0039 095 330094 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ =========================================================== MESS 2018 - Metaheuristics Summer School 21-25 July 2018, Taormina, Italy W: https://www.ANTs-lab.it/mess2018/ E: mess.school at ANTs-lab.it FB: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school =========================================================== From rava at ens.fr Mon Jan 29 10:04:18 2018 From: rava at ens.fr (Rava A. da Silveira) Date: Mon, 29 Jan 2018 15:04:18 +0000 Subject: Connectionists: PhD AND POSTDOC POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT ENS, PARIS In-Reply-To: References: Message-ID: *Several DOCTORAL and POSTDOCTORAL openings in the group of RAVA AZEREDO DA SILVEIRA at the Ecole Normale Superieure, Paris* We will be hiring several Ph.D. students and postdocs to work on an array of projects on computation and coding in neural circuits. The projected studies range from the modeling of computations in retinal circuits, to the analysis of large sets of retinal and cortical data, to the investigations of mathematical models of coding. Some of the projects will be set in close collaboration with the experimental labs of Botond Roska (FMI, Basel) and Andreas Hierlemann (ETH, Basel); they will involve the study of mouse retina and cortex, primate retina, and human retina, and questions on the representation and transformation of sensory inputs in populations of neurons. Experience with data analysis and proficiency with numerical methods and programming, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure as well as drive and eagerness. The ENS, together with a number of neighboring institutions (College de France, Institut Curie, ESPCI, Paris Science et Lettres, Sorbonne Universit?, and Institut Pasteur), offers a rich scientific and intellectual environment, with a strong representation in computational neuroscience and related fields. Doctoral and postdoctoral salaries will be competitive, appreciably higher than standard French salaries. Depending on their projects, Ph.D. students and postdocs may wish to spend a fraction of their time in Basel, Switzerland, which features a first-rate community of researchers in experimental neuroscience. To apply, please send a letter of motivation, a statement of research interests limited to two pages, a curriculum vitae including a list of publications, and any relevant publications to rava at ens.fr, and arrange for three letters of recommendations to be sent to the same address. For full consideration, please apply by 1 March 2018. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PhDAndPostdocAd.pdf Type: application/pdf Size: 7917 bytes Desc: not available URL: From ants.conf at gmail.com Mon Jan 29 18:24:51 2018 From: ants.conf at gmail.com (ANTS Conference) Date: Tue, 30 Jan 2018 00:24:51 +0100 Subject: Connectionists: [meetings] ANTS 2018 - Swarm Intelligence - Eleventh International Conference - 3rd CFP Message-ID: ======================================================================= ANTS 2018 Eleventh International Conference on Swarm Intelligence October 29?31, 2018. Rome, Italy Up-to-date information at http://www.swarm-intelligence.eu/ants2018/ ======================================================================= NEWS: * Conference proceedings published by Springer LNCS series * Keynote speakers announced! * Deadline for paper submission in April 15, 2018 * ANTS conference moves to Rome! ======================================================================= Scope of the Conference ======================================================================= Swarm intelligence is the discipline that deals with the study of self-organizing processes both in nature and in artificial systems. Researchers in ethology and animal behavior have proposed a number of models to explain interesting aspects of collective behaviors such as movement coordination, shape-formation or decision making. Recently, algorithms and methods inspired by these models have been proposed to solve difficult problems in many domains. Among these, it is worth mentioning ant colony optimization (ACO) and particle swarm optimization (PSO), focusing respectively on discrete and continuous optimisation problems. Also, Swarm robotics represents another application of techniques derived from swarm intelligence for the design of collaborative multi-robot systems featuring enhanced efficiency, robustness and scalability. ANTS 2018 will give researchers in swarm intelligence the opportunity to meet, to present their latest research, and to discuss current developments and applications. The three-day conference will be held for the first time in Rome, Italy, on October 29?31, 2018. ======================================================================= Relevant Research Areas ======================================================================= ANTS 2018 solicits contributions dealing with any aspect of swarm intelligence. Typical, but not exclusive, topics of interest are: - Behavioral models of social insects or other animal societies that can stimulate new algorithmic approaches. - Theoretical and empirical and research in swarm intelligence. - Application of swarm intelligence methods (e.g., ant colony optimisation or particle swarm optimisation) to real-world problems. - Theoretical and experimental research in swarm robotics systems. ======================================================================= Important Dates ======================================================================= Submission deadline: April 15, 2018 Notification of acceptance: June 15, 2018 Camera ready copy: June 29, 2018 Conference: October 29?31, 2018 ======================================================================= Keynote Speakers ======================================================================= Seven keynote speakers will enrich the conference program. Three keynotes covering the main domains within the scope of the conference?namely, theoretical models, swarm robotics and optimisation algorithms?plus a special keynote session dedicated to the links between physics and collective behaviour: - David Sumpter - Alcherio Martinoli - Holger Hoos - Vittorio Loreto - Andrea Cavagna - Irene Giardina - Roberto Di Leonardo ======================================================================= Publication Details ======================================================================= Accepted papers will be published in conference proceedings (Springer LNCS series). The journal Swarm Intelligence will publish a special issue dedicated to ANTS 2018 that will contain extended versions of the best research works presented at the conference. Further details will soon be published on the web site. ======================================================================= Conference Location ======================================================================= Aula Marconi, Consiglio Nazionale delle Ricerche, Piazzale Aldo Moro 7, 00185 Rome, Italy ======================================================================= Best Paper Award ======================================================================= A best paper award will be presented at the conference. Continuing the tradition of the ANTS Conference Series, the prize winner will receive a sculpture of an ant expressly created for the ANTS Conference by the Italian sculptor Matteo Pugliese. ======================================================================= ANTS 2018 Organizing Committee ======================================================================= ++ General chair ++ Marco Dorigo - Universit? libre de Bruxelles, Belgium ++ Vice-general chair ++ Mauro Birattari - Universit? libre de Bruxelles, Belgium ++ Local organisation and publicity chair ++ Vito Trianni - Institute of Cognitive Sciences and Technologies (ISTC), Italian National Research Council (CNR), Italy ++ Technical program chairs ++ Christian Blum - Artificial Intelligence Research Institute (IIIA), Spanish National Research Council (CSIC), Spain Anders L. Christensen - Instituto Universit?rio de Lisboa, Portugal ++ Publication chair ++ Andreagiovanni Reina - The University of Sheffield, UK ======================================================================= Further Information ======================================================================= Up-to-date information will be published at the following address: http://www.swarm-intelligence.eu/ants2018/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From eric.dewitt at neuro.fchampalimaud.org Mon Jan 29 18:47:43 2018 From: eric.dewitt at neuro.fchampalimaud.org (Eric DeWitt) Date: Mon, 29 Jan 2018 23:47:43 +0000 Subject: Connectionists: 8th Computational and Cognitive Neuroscience (CCN) Summer School Message-ID: We are pleased to announce the 8th Computational and Cognitive Neuroscience (CCN) Summer School which will take place June 26 ? July 19, 2018, at Cold Spring Harbor Asia (CSHA) in Suzhou, China. Please distribute this announcement to your department and colleagues The CCN summer school is a unique international summer school focusing on systems neuroscience and cognition from a computational and theoretical perspective. Lectures from leading international faculty in experimental, computational and theoretical neuroscience are tightly coupled with computational tutorials in a series of modules. Each module covers a core area, integrating experimental, theoretical and computational perspectives. The course aims to train talented and highly motivated graduate students and postdoctoral fellows from around the world. Applicants with quantitative (including Physics, Mathematics, Engineering and Computer Science) or experimental backgrounds are welcome. The summer school also has the mission of training and integrating students from diverse academic, cultural and geographic backgrounds. The practical training includes learning Python-based approaches to programming, data analysis and modeling. Students work through tutorials designed with the faculty and then design, plan and complete a series of open-ended projects for each module. Course information is available on the CCN official website: http://www.ccnss.org/ Applications are being accepted now through the CSHA website: https://www.csh-asia.org/2018meetings/S-COSYNE.html The application deadline is March 4th, 2018. Organizers: Xiao-Jing Wang (New York University) Zach Mainen (Champalimaud Neuroscience Program) Si Wu (Beijing Normal University) John D. Murray (Yale University) Eric DeWitt (Champalimaud Neuroscience Program) The faculty: Eric DeWitt (Champalimaud Research) Shaul Druckmann (Stanford) Jeff Erlich (NYU Shanghai) Birte Forstmann (U Amsterdam) David Foster (UC Berkeley) Julijana Gjorgjieva (MPI Brain Research) Michael Hausser (UCL) Alex Huth (UT Austin) Chris Honey (Johns Hopkins) Sukbin Lim (NYU Shanghai) Zach Mainen (Champalimaud Research) John Murray (Yale) Peggy Series (U Edinburgh) Maurice Smith (Harvard) Xiao-Jing Wang (NYU) Si Wu (Beijing Normal) Byron Yu (Carnegie Mellon) + more! Best regards, Eric DeWitt, on behalf of the CCN SS organizers: Xiao-Jing Wang, Zach Mainen, Si Wu, John Murray, Eric DeWitt From michael.madden at nuigalway.ie Mon Jan 29 13:04:42 2018 From: michael.madden at nuigalway.ie (Madden, Michael) Date: Mon, 29 Jan 2018 18:04:42 +0000 Subject: Connectionists: Postdoctoral Researcher / Research Fellow in machine learning, AI, and robotics - deadline 1 Feb Message-ID: Hello all; I would appreciate it if you would bring this position to the attention of anybody who may be interested in it. We are currently recruiting an experienced Postdoctoral Researcher / Research Fellow with Prof. Michael Madden in the Data Mining & Machine Learning Group, at the National University of Ireland, Galway. The successful candidate will be involved in development of new algorithms for probabilistic reasoning over time, for routing and control of autonomous airborne and ground-based vehicles (including deep learning for image analysis to support this), and for context-aware decision support driven by sensor data analytics. This is an excellent opportunity to engage in R&D, working in a flexible and stimulating research environment, while collaborating with academic and industrial partners across Europe and gaining experience in project management and proposal-writing. If the successful candidate wishes, there can also be opportunities for some part-time lecturing, to support their academic career development. You are welcome to contact me for informal enquiries about this post. For further information and how to apply, please see: http://datamining.it.nuigalway.ie/ The deadline for applications is 1 Feb 2018. Thank you, Michael. -- Prof. Michael Madden Head of Data Mining & Machine Learning Group National University of Ireland, Galway +353-91-493797 / +353-86-7952802 http://datamining.it.nuigalway.ie/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From P.Tino at cs.bham.ac.uk Mon Jan 29 13:27:44 2018 From: P.Tino at cs.bham.ac.uk (Peter Tino) Date: Mon, 29 Jan 2018 18:27:44 +0000 Subject: Connectionists: WCCI special session on "Advances in Reservoir Computing" Message-ID: <502fb6a0-8b18-e373-9282-982f74893890@cs.bham.ac.uk> *Call for Papers:* *Advances in Reservoir Computing* *Special Session for the 2018 IEEE World Congress on Computational Intelligence (WCCI) 2018 The International Joint Conference on Neural Networks (IJCNN) 2018 **https://sites.google.com/view/reservoir-computing-ijcnn-2018* _Paper submission deadline: 1 February 2018 IEEE WCCI conference: 8-13 July 2018, Rio de Janeiro, Brazil *_Scope and Topics_* During the last decade, Reservoir Computing (RC) has attested itself as a state of the art paradigm for efficient learning in the temporal domain. The extreme efficiency of the approach follows from limiting the training algorithm to only a readout component, while the temporal encoding process is carried out by a dynamical pool of recurrent neurons that, under certain conditions, is able to develop a rich representation of the temporal information even if untrained. The common paradigm has been instantiated into several models, among which the Echo State Network and the Liquid State Machine represent the most widely known ones. Since its origins, we have witnessed a progressively increasing popularization of the RC approach, especially by virtue of its ease of implementation and its extreme training efficiency. At the same time, several theoretical research lines strongly contributed in understanding the bias of untrained recurrent models, grounding the RC methodology on a solid mathematical basis and better delineating the potentialities and downsides of the approach. After 10 years since the introduction of the term "Reservoir Computing" into the neural networks literature, it is now time to sum up all the recent research initiatives in the field and start drawing its future. This session calls for both theoretical and applicative contributions emerging in the field of RC, aiming at stimulating an open discussion in the neural network community. The list of relevant topics for this session includes, but is not limited to, the following: * Novel Reservoir Computing models * Theoretical analysis of Reservoir Computing * Physical implementations of Reservoir Computing * Evolutions of the RC paradigm (e.g., conceptors) * Biological motivations and applications in Neuroscience of Reservoir Computing * Adaptation of reservoir dynamics and of system dynamics * Deep Reservoir Computing models * Reservoir Computing for learning in structured domains (trees, graphs, networks, ...) * Reservoir Computing for Big Data * Novel application fields for the RC paradigm *_ _* *_Important Dates_* * Paper submission deadline: 15 January 2018 1 February 2018 (extended) * Notification of acceptance: 15 March 2018 * IEEE WCCI conference: 8-13 July 2018, Rio de Janeiro, Brazil *_Papers Submission_* Papers submission for this Special Session follows the same process as for the regular sessions of WCCI 2018. For further information and news in this regard, please refer the WCCI 2018 website: http://www.ecomp.poli.br/~wcci2018/ *_Special Session Organizers_* Claudio Gallicchio, (University of Pisa, Italy), Alessio Micheli, (University of Pisa, Italy), Simone Scardapane (Sapienza University, Italy), Peter Ti?o (University of Birmingham, UK). -- Peter Tino The University of Birmingham School of Computer Science Edgbaston, Birmingham B15 2TT, UK +44 121 414 8558 , fax: 414 4281 http://www.cs.bham.ac.uk/~pxt/ From dominic.ward at surrey.ac.uk Tue Jan 30 03:51:28 2018 From: dominic.ward at surrey.ac.uk (dominic.ward at surrey.ac.uk) Date: Tue, 30 Jan 2018 08:51:28 +0000 Subject: Connectionists: LVA/ICA 2018: Final CfP - submission deadline: 4 Feb 2018 (full paper upload 7 Feb) Message-ID: Dear List, The submission deadline for LVA/ICA 2018 is approaching; see the final call for papers below. Please contact the organizing committee if you have any queries. ===================================================== == LVA/ICA 2018 - FINAL CALL FOR PAPERS == 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018 University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 Submission deadline: February 4, 2018 **Extended** (Full paper upload deadline: February 7, 2018) NOTE: - The above dates apply anywhere on earth - No further deadline extension will be given ===================================================== The International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, is an interdisciplinary forum where researchers and practitioners can experience a broad range of exciting theories and applications involving signal processing, applied statistics, machine learning, linear and multilinear algebra, numerical analysis and optimization, and other areas targeting Latent Variable Analysis problems. We are pleased to invite you to submit research papers to the 14th LVA/ICA which will be held at the University of Surrey, Guildford, UK, from the 2nd to the 6th of July, 2018. The conference is organized by the Centre for Vision, Speech and Signal Processing (CVSSP); and the Institute of Sound Recording (IoSR). Authors should register papers by submitting the title and abstract by ** Sunday, 4 February 2018 (extended) ** The complete version of the paper must be uploaded by ** Wednesday, 7 February 2018 ** The proceedings will be published in Springer-Verlag's Lecture Notes in Computer Science (LNCS). == Keynote Speakers == - Orly Alter Scientific Computing & Imaging Institute and Huntsman Cancer Institute, University of Utah, USA - Andrzej Cichocki Brain Science Institute, RIKEN, Japan - Tuomas Virtanen Laboratory of Signal Processing Tampere University of Technology, Finland == Topics == Prospective authors are invited to submit original papers (8-10 pages in LNCS format) in areas related to latent variable analysis, independent component analysis and signal separation, including but not limited to: - Theory: * sparse coding, dictionary learning * statistical and probabilistic modeling * detection, estimation and performance criteria and bounds * causality measures * learning theory * convex/nonconvex optimization tools * sketching and censoring for large scale data - Models: * general linear or nonlinear models of signals and data * discrete, continuous, flat, or hierarchical models * multilinear models * time-varying, instantaneous, convolutive, noiseless, noisy, over-complete, or under-complete mixtures * Low-rank models, graph models, online models - Algorithms: * estimation, separation, identification, detection, blind and semi-blind methods, non-negative matrix factorization, tensor decomposition, adaptive and recursive estimation * feature selection * time-frequency and wavelet based analysis * complexity analysis * Non-conventional signals (e.g. graph signals, quantum sources) - Applications: * speech and audio separation, recognition, dereverberation and denoising * auditory scene analysis * image segmentation, separation, fusion, classification, texture analysis * biomedical signal analysis, imaging, genomic data analysis, brain-computer interface - Emerging related topics: * sparse learning * deep learning * social networks * data mining * artificial intelligence * objective and subjective performance evaluation == Venue == LVA/ICA 2018 will be held at the University of Surrey, Guildford, in the South East of England, UK. The university is a ten minute walk away from the town centre, which offers a vibrant blend of entertainment, culture and history. Guildford is 40 minutes from London by train, and convenient for both London Heathrow and London Gatwick airports. == Conference Chairs == - General Chairs Mark Plumbley - University of Surrey, UK Russell Mason - University of Surrey, UK - Program Chairs Sharon Gannot - Bar-Ilan University, Israel Yannick Deville - Universit? Paul Sabatier Toulouse 3, France == Important Dates == - Submission deadline: February 4, 2018 **Extended** - Full paper upload deadline: February 7, 2018 - Notification of acceptance: March 19, 2018 - Submission of SiSEC separation results: April 1, 2018 - Camera ready submission: April 16, 2018 - Summer School: July 2, 2018 - Conference: July 3-6, 2018 == Website == For further information and information on how to submit, please visit: http://cvssp.org/events/lva-ica-2018 We look forward to your participation, The LVA/ICA 2018 Organizing Committee Email: lva.ica.2018 at gmail.com =============================== From k.schwarzwaelder at fz-juelich.de Tue Jan 30 05:55:44 2018 From: k.schwarzwaelder at fz-juelich.de (Kerstin Schwarzwaelder) Date: Tue, 30 Jan 2018 11:55:44 +0100 Subject: Connectionists: Reminder: Call for Workshops - Bernstein Conference 2018 In-Reply-To: References: Message-ID: <8535774e-56a2-72c3-522d-b6f87d1e09da@fz-juelich.de> The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops directly preceding the Bernstein Conference 2018 in Berlin. ************************************************************** Important Dates: Satellite Workshops: September 25 - 26, 2018 Main Bernstein Conference: September 26 - 28, 2018 Deadline for Satellite Workshop proposal submission: March 15, 2018 Notification of Workshop acceptance: April 2018 ************************************************************** Since 2013, the Bernstein Conference hosts pre-conference workshops which provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a mere series of talks. The selection criteria for Workshop proposals will include scientific excellence, topical relevance and gender diversity. The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. Satellite Workshop schedule: September 25, 2018, 2:00 pm - 6:30 pm September 26, 2018, 8:30 am - noon Workshop proposals are welcome for either half-day or full-day workshops. Workshop costs ? FINANCIAL SUPPORT: All organizers and speakers of accepted workshops will receive a waiver for the workshop fee. Organizers of accepted workshops additionally receive a waiver for the main conference. Up to 10 selected workshops can receive financial support up to 1.500,00 ? each. For further information about the conference, please visit the conference website http://www.bernstein-conference.de. INSTRUCTIONS FOR WORKSHOP PROPOSAL PREPARATION Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment 4) Optional: a comment on how the organizers plan to achieve gender diversity among speakers Please use the Workshop Proposal Form that can be downloaded here: http://www.nncn.de/de/bernstein-conference/2018/satellite-workshops Deadline for submission of Workshop proposals: March 15, 2018 CONTACT: bernstein.network(at)fz-juelich.de We are looking forward to seeing you in Berlin! WORKSHOP SELECTION COMMITTEE: Jakob Macke (Workshop Chair) Tatjana Tchumatchenko (Workshop Vice Chair) Axel Borst Nicolas Brunel Anne Churchland Claudia Clopath Gaute Einevoll Adrienne Fairhall Gilles Laurent (Program Chair) Mate Lengyel Elad Schneidman Susanne Schreiber (Program Vice Chair) Terry Sejnowski Henning Sprekeler (Conference Host) Fred Wolf -- Dr. Kerstin Schwarzw?lder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder at fz-juelich.de Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder at fz-juelich.de web: www.nncn.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tony.Pipe at brl.ac.uk Tue Jan 30 05:54:36 2018 From: Tony.Pipe at brl.ac.uk (Tony Pipe) Date: Tue, 30 Jan 2018 10:54:36 +0000 Subject: Connectionists: PhD Scholarship at Bristol Robotics Laboratory in Object Identification and Authentication using Microscopic Forensic Signatures In-Reply-To: <3779ad6b-0e4b-3af2-4c2d-f856c3dde1be@brl.ac.uk> References: <60471384-2b1e-9217-367d-c103b704c214@brl.ac.uk> <4a00b1f1-5516-b963-b083-0fd631212022@brl.ac.uk> <3779ad6b-0e4b-3af2-4c2d-f856c3dde1be@brl.ac.uk> Message-ID: HP Inc. UK LTD funded PhD Scholarship at Bristol Robotics Laboratory in Object Identification and Authentication using Microscopic Forensic Signatures ---------------------------------------------------------------------------------------------------------------------------------- The technology provider HP Inc. (HP) and the world renowned Bristol Robotics Laboratory (BRL) are working together on an exciting new research project to develop novel sensors and algorithms aimed at realising low-cost technology for the capture of unique surface characteristics from differing substrate types (e.g. paper, ceramic, plastic etc.). Both 3D structural and 2D spectral signals will be investigated at the microscopic scale (defined here as 1-3um XY, 100nm Z), with the aim of recovering and describing properties that naturally occur at the surface, or which can be introduced, in order to realise a unique object recognition signature. About the Studentship Estimating 3D surface texture and reflectance at microscale is a challenging, problem with a number of unsolved issues, and requires the capture of highly dense microstructures. This project will focus on: 1.?????? Using a range of optical/computer vision techniques to capture and recover 3D surfaces of substrates at microscale. 2.?????? Investigating the simultaneous recovery of multispectral signals and 3D structure at the microscopic scale. 3.?????? Developing novel algorithms to derive translation and rotation invariant signatures of different categories of substrates. 4.?????? Developing novel machine learning approaches (use of deep learning concepts) to characterise substrates at the microscale level and identify their inherent properties. 3D depth recovery approaches such as structured light and stereo reconstruction will be considered, along with alternative methods based on phase shift interferometry and/or focus variation. Likewise, approaches looking at the narrow band spectral shifting data, captured using a hyperspectral imaging device (or a custom based multispectral image capture system) will also be investigated. In addition, this project will also investigate approaches looking at using localised properties (surface reflectance, surface texture and 3D properties) of a surface at microscale in order to build a more generalised meta-surface structure characterisation, say using a Simultaneous Localisation and Mapping (SLAM) approach. The aim will be to establish signatures which can be captured using low-cost technology, are unique at the item level, can be readily compared and which have strong statistical significance. Typically this may be achieved through: 1.?????? the printing of a registration mark 2.?????? including sufficient information in the signature for self-registration or 3.?????? introducing a small degree of rotation and transitional invariance into the signature itself. Experienced BRL research academics from the Centre for Machine Vision (CMV), will work together with HP?s senior design engineers to provide guidance throughout the research programme. The CMV has developed internationally leading research and expertise in innovative 3D surface recovery solutions applied to different areas, including medical, agri-tech, digital advertising and others. Augmented by HP?s specialised skills at developing low-cost microscopic scale devices, this research will use a range of state-of-art optical/computer vision techniques developed at the CMV to generate innovate solutions for the capture, recovery and characterisation of substrates at microscale. The PhD will be at the CMV in BRL and will benefit from links with the existing CDT programme (http://farscope.bris.ac.uk/) within the BRL. For an informal discussion about the studentship, please email Professor Melvyn Smith: melvyn.smith at uwe.ac.uk For the full advert please refer to the following link: http://www1.uwe.ac.uk/research/postgraduateresearchstudy/studentshipopportunities/objectidentification.aspx -- Tony Pipe Professor of Robotics and Autonomous Systems Deputy Director: Bristol Robotics Laboratory Bristol Robotics Laboratory T-Building Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 From Tony.Pipe at brl.ac.uk Tue Jan 30 05:53:33 2018 From: Tony.Pipe at brl.ac.uk (Tony Pipe) Date: Tue, 30 Jan 2018 10:53:33 +0000 Subject: Connectionists: PhD Scholarship at Bristol Robotics Laboratory: One Shot Printed Multi-Digit Manipulator In-Reply-To: <4a00b1f1-5516-b963-b083-0fd631212022@brl.ac.uk> References: <60471384-2b1e-9217-367d-c103b704c214@brl.ac.uk> <4a00b1f1-5516-b963-b083-0fd631212022@brl.ac.uk> Message-ID: HP Inc. UK LTD funded PhD Scholarship at Bristol Robotics Laboratory: One Shot Printed Multi-Digit Manipulator ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- The innovative high technology provider HP Inc (HP) and the world renowned Bristol Robotics Laboratory (BRL) have decided to work together to carry out an exciting new research project on creating and developing the technology and techniques that would enable the 3D printing of a multi-digit robot manipulator, in one pass. Such a process has yet to be developed, but would include construction of the manipulator?s digits, the joints between those digits, together with all the embedded sensing and actuation components. The likely form would be an opposed 3+fingered gripper that will be capable of picking up a modest range of items. The research work itself will have a strong emphasis on ?learning from experiment?, i.e., there will be an iterative process of developing prototypes of gradually greater capability, in order to validate the instantiation of approaches that are identified through the conducted research. These prototypes could be partially assembled from sub-components where the technology is not available but is a realistic step away. Experienced BRL research academics will work together with HP?s senior design engineers to provide guidance throughout the research programme. BRL?s established expertise in state-of-the-art 3D plastic-part printing will be augmented by HP?s specialised skills in the range of properties available, or being investigated, with its advanced Multi Jet Fusion (MJF - powder bed) 3D printing process, as well as its deep knowledge of that which is available in the wider industry. Of course, this is advanced research, so it cannot be predicted exactly how fast the pace of progress will be. However, if things go well, then the scope could be extended to include the use of manipulator customisation to address established challenges in 3D printing workflow. For example, HP?s MJF process produces ?cakes? containing the parts. These are then separated from each other in a dedicated station with the resulting parts that were in the cake all mixed together.? The potential for widely varying shapes, masses and material properties represent a critical challenge for their subsequent handling by automated systems. If the printing of customised manipulators for specific parts could be rendered to be cheap and rapid, then this could form a crucial part of a solution to the handling and sorting of the disparate parts. The PhD will take place in BRL and will benefit from links with the existing CDT programme within the BRL. For the full advert please refer to the following link: http://www1.uwe.ac.uk/research/postgraduateresearchstudy/studentshipopportunities/oneshotprinted.aspx -- Tony Pipe Professor of Robotics and Autonomous Systems Deputy Director: Bristol Robotics Laboratory Bristol Robotics Laboratory T-Building Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 From aurel at ee.columbia.edu Tue Jan 30 16:12:07 2018 From: aurel at ee.columbia.edu (Aurel A. Lazar) Date: Tue, 30 Jan 2018 16:12:07 -0500 Subject: Connectionists: Final Program of the Columbia Workshop on Brain Circuits, Memory and Computation, March 15-16, 2018 Message-ID: <995FF046-4538-4B85-AF41-3E56B6D4630D@ee.columbia.edu> http://fruitflybrain.org/workshops.html? Aurel http://www.bionet.ee.columbia.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From sorelle at cs.haverford.edu Tue Jan 30 13:56:18 2018 From: sorelle at cs.haverford.edu (Sorelle Friedler) Date: Tue, 30 Jan 2018 18:56:18 +0000 Subject: Connectionists: postdoctoral researcher in interpretable machine learning + software engineering jobs Message-ID: Hi all, We're hiring for both a computer science postdoctoral researcher and a software engineer for a project on creating* interpretable machine learning* methods to help chemists develop new materials that can be used for *more efficient solar cells*. As part of a DARPA contract, we'll be collaborating with teams across the country to automate the development of scientific hypotheses. We're *hiring on a rolling basis* - please feel free to shoot me an email if you may be interested in the position! More information can be found here: https://darkreactions.haverford.edu/jobs.html Sorelle --- Sorelle Friedler Assistant Professor of Computer Science Haverford College sorelle.friedler.net cs.haverford.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From albagarciaseco at gmail.com Wed Jan 31 05:15:14 2018 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Wed, 31 Jan 2018 10:15:14 +0000 Subject: Connectionists: Data Scientist (KTP Associate), CSEE Message-ID: Great KTP opportunity for a Data Scientist to develop a SaaS based product to help content agencies and brands to create insight led video content and distribution strategies for marketing, with London based video strategy and production agency, Hub TV (*http://www.hub.tv/):* https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=153503Fdlo&WVID=9918109NEm&LANG=USA Dr Alba Garc?a Seco de Herrera PhD Lecturer Department of Computer Science and Electronic Engineering University of Essex T +44 (0)1206 872907 E alba.garcia at essex.ac.uk ? https://www1.essex.ac.uk/csee/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From albagarciaseco at gmail.com Wed Jan 31 05:14:46 2018 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Wed, 31 Jan 2018 10:14:46 +0000 Subject: Connectionists: PhD Studentship: Bayesian Deep Learning for Alzheimer's conversion prediction in Mild Cognitive Impairment subjects Message-ID: Mild cognitive impairment (MCI) is a transitional state between normal ageing and dementia. In a number of cases, MCI carries the risk of conversion to Alzheimer?s disease-related dementia. MCI typically includes slowing of motor performance and information processing, impaired attention and impaired executive functions with partial preservation of memory. Machine learning techniques have recently been identified as promising tools in neuroimaging data analysis and can, to a certain extent, work on a single patient basis in predicting conversion from MCI to Alzheimer?s disease (AD). This PhD will investigate novel convolutional and Bayesian deep learning techniques to identify biomarkers of MCI and improve the accuracy of detecting early signs of the potential for MCI to progress into AD. Early AD diagnosis is important for giving access to treatments that can improve symptoms and slow down the progress of the disease. The successful applicant will be supervised by Dr Luca Citi and Dr Alba Garc?a and will be part of the Essex BCI and Neural Engineering Lab ( http://essexbcis.uk): today the UK?s largest research group in brain-computer interfaces. Deadline: Friday 23 February 2018 http://www.jobs.ac.uk/job/BHF171/phd-studentship-bayesian-deep-learning-for-alzheimers-conversion-prediction-in-mild-cognitive-impairment-subjects/ Dr Alba Garc?a Seco de Herrera PhD Lecturer Department of Computer Science and Electronic Engineering University of Essex T +44 (0)1206 872907 E alba.garcia at essex.ac.uk ? https://www1.essex.ac.uk/csee/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From giovanni.masala at plymouth.ac.uk Wed Jan 31 09:35:01 2018 From: giovanni.masala at plymouth.ac.uk (Giovanni Masala) Date: Wed, 31 Jan 2018 14:35:01 +0000 Subject: Connectionists: conference IIMSS-18 20-22 Giugno 2018 Gold Coast, Australia. Message-ID: Hi, the Intelligent Interactive Multimedia: Systems and Services (IIMSS-18) is an international scientific symposium for research in the fields of intelligent interactive multimedia systems and services. The aim of the conference is to provide an internationally respected forum for scientific research in the technologies and applications of intelligent and interactive multimedia systems and services. There is a specific session related to: IS04: Cognitive Systems and Big Data Analytics http://iimss-18.kesinternational.org/cmsISdisplay.php Please have a look if you are interested and please share the link to your contacts. Submission of Papers: 4 March 2018 Proceedings The conference proceedings will be published by Springer as book chapters in a volume of the KES Smart Innovation Systems and Technologies series, submitted for indexing in Scopus and Thomson-Reuters Conference Proceedings Citation Index (CPCI) and the Web of Science. Thank you Best regards Giovanni ______________________________________________________________________ Dr. Giovanni Luca Christian Masala PhD Applied Physics, Laurea Eng, HEA fellow Lecturer (Assistant Professor) in networks and cloud computing School of Computing, Electronics and Mathematics Plymouth University | UK Room B 308 Portland Square | Drake Circus | Plymouth | PL4 8AA Phone: +44 (0)1752 586273 Web: https://www.plymouth.ac.uk/staff/giovanni-masala ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif] This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jpezaris at gmail.com Wed Jan 31 09:36:08 2018 From: jpezaris at gmail.com (John Pezaris) Date: Wed, 31 Jan 2018 09:36:08 -0500 Subject: Connectionists: AREADNE 2018 Second Call for Abstracts Message-ID: AREADNE 2018 Research in Encoding and Decoding of Neural Ensembles Nomikos Conference Centre, Santorini, Greece 20-24 June 2018 http://areadne.org info at areadne.org * * * * SECOND CALL FOR ABSTRACTS * * * * Dear Colleague, We would like to remind you that abstracts for poster presentation at AREADNE 2018 are coming due shortly. AREADNE 2018 will once again bring scientific leaders from around the world to present their theoretical and experimental work on the functioning of neuronal ensembles in an informal yet spectacular setting, and with a relaxed pace that emphasizes interaction. Please see the Call for Abstracts for additional details, including links for templates, at http://areadne.org/call-for-abstracts Submissions of abstracts for poster presentations are due by 9 Feb 2018; notifications will be provided by 13 March 2018. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page http://areadne.org or send email to us at info at areadne.org. We hope to see you at AREADNE 2018! Best, - J. --- John S. Pezaris, Ph.D. AREADNE 2018 Co-Chair Harvard Medical School Massachusetts General Hospital 55 Fruit Street Boston, MA 02114, USA john at areadne.org From irina.illina at loria.fr Wed Jan 31 09:33:38 2018 From: irina.illina at loria.fr (Irina Illina) Date: Wed, 31 Jan 2018 15:33:38 +0100 (CET) Subject: Connectionists: PhDThesis Position in LORIA/INRIA (France) : Natural Language Processing In-Reply-To: <1078074694.10379150.1517409122196.JavaMail.zimbra@loria.fr> Message-ID: <1657081656.10381760.1517409218843.JavaMail.zimbra@loria.fr> Natural language processing: adding new words to a speech recognition system using Deep Neural Networks - Location: INRIA/LORIA Nancy Grand Est research center France - Research theme: Perception, Cognition, Interaction - Project-team: Multispeech - Scientific Context: Voice is seen as the next big field for computer interaction. The research company Gartner reckons that by 2018, 30% of all interactions with devices will be voice-based: people can speak up to four times faster than they can type, and the technology behind voice interaction is improving all the time. As of October 2017, Amazon Echo is present in about 4% of American households. Voice assistants are proliferating in smartphones too: Apple?s Siri handles over 2 billion commands a week, and 20% of Google searches on Android-powered handsets in America are done by voice input. The proper nouns (PNs) play a particular role: they are often important to understand a message and can vary enormously. For example, a voice assistant should know the names of all your friends; a search engine should know the names of all famous people and places, names of museums, etc. An automatic speech recognition system uses a lexicon containing the most frequent words of the language and only the words of the lexicon can be recognized by the system. It is impossible to add all possible proper names because there are millions proper names and new ones appear every day. A competitive solution is to dynamically add new PNs into the ASR system. The idea is to add only relevant proper names: for instance if we want to transcribe a video document about football results, we should add the names of famous football players and not politicians. In this study, we will focus on the problem of proper names in automatic recognition systems . The problem is to find relevant proper names for the audio document we want to transcribe. To select the relevant proper names, we propose to use an artificial neural network. - Missions: We assume that in an audio document to transcribe we have missing proper names, i.e. proper names that are pronounced in the audio document but that are not in the lexicon of the automatic speech recognition system; these proper names cannot be recognized ( out-of-vocabulary proper names , OOV PNs) The goal of this PhDThesis is to find a list of relevant OOV PNs that correspond to an audio document and to integrate them in the speech recognition system. We will use a Deep neural network to find relevant OOV PNs The input of the DNN will be the approximate transcription of the audio document and the output will be the list of relevant OOV PNs with their probabilities. The retrieved proper names will be added to the lexicon and a new recognition of the audio document will be performed. During the thesis, the student will investigate methodologies based on deep neural networks [Deng2013]. The candidate will study different structures of DNN and different representation of documents [Mikolov2013]. The student will validate the proposed approaches using the automatic transcription system of radio broadcast developed in our team. - Bibliography: [Mikolov2013] Mikolov, T., Chen, K., Corrado, G. and Dean, J. ? Efficient estimation of word representations in vector space ?, Workshop at ICLR, 2013. [Deng2013] Deng, L., Li, J., Huang, J.-T., Yao, K., Yu, D., Seide, F., Seltzer, M., Zweig, G., He, X., Williams, J., Gong, Y. and Acero A. ? Recent advances in deep learning for speech research at Microsoft ?, Proceedings of ICASSP, 2013. [Sheikh2016] Sheihk, I., Illina, I., Fohr, D., Linar?s, G. ? Improved Neural Bag-of-Words Model to Retrieve Out-of-Vocabulary Words in Speech Recognition ?. Interspeech, 2016. - Skills and profile: Master in computer science, background in statistics, natural language processing, experience with deep learning tools (keras, kaldi, etc.) and computer program skills (Perl, Python). - Additional information: Supervision and contact: Irina Illina, LORIA/INRIA ( illina at loria.fr ), Dominique Fohr INRIA/LORIA ( dominique.fohr at loria.fr ) https://members.loria.fr/IIllina/ , https://members.loria.fr/DFohr/ Additional links: Ecole Doctorale IAEM Lorraine Duration: 3 years Starting date: between Oct. 1st 2018 and Jan. 1st 2019 Deadline to apply : May 1 st 2018 The candidates are required to provide the following documents in a single pdf or ZIP file: * CV * A cover/motivation letter describing their interest in the topic * Degree certificates and transcripts for Bachelor and Master (or the last 5 years) * Master thesis (or equivalent) if it is already completed, or a description of the work in progress, otherwise * The publications (or web links) of the candidate, if any (it is not expected that they have any) In addition, one recommendation letter from the person who supervises(d) the Master thesis (or research project or internship) should be sent directly by his/her author to the prospective PhD advisor. -- Associate Professor Lorraine University LORIA-INRIA office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Wed Jan 31 09:50:32 2018 From: irina.illina at loria.fr (Irina Illina) Date: Wed, 31 Jan 2018 15:50:32 +0100 (CET) Subject: Connectionists: Post Doctoral Position in LORIA (France) : Natural Language Processing In-Reply-To: <910549920.10361507.1517408226064.JavaMail.zimbra@loria.fr> Message-ID: <1264556526.10400129.1517410232159.JavaMail.zimbra@loria.fr> Pos Doctoral Position (12 months) Natural language processing: automatic speech recognition system using deep neural networks without out-of-vocabulary words _______________________________________ - Location: INRIA Nancy Grand Est research center, France - Research theme: PERCEPTION, COGNITION, INTERACTION - Project-team: Multispeech - Scientific Context: More and more audio/video appear on Internet each day. About 300 hours of multimedia are uploaded per minute. In these multimedia sources, audio data represents a very important part. If these documents are not transcribed, automatic content retrieval is difficult or impossible. The classical approach for spoken content retrieval from audio documents is an automatic speech recognition followed by text retrieval. An automatic speech recognition system (ASR) uses a lexicon containing the most frequent words of the language and only the words of the lexicon can be recognized by the system. New Proper Names (PNs) appear constantly, requiring dynamic updates of the lexicons used by the ASR. These PNs evolve over time and no vocabulary will ever contains all existing PNs. When a person searches for a document, proper names are used in the query. If these PNs have not been recognized, the document cannot be found. These missing PNs can be very important for the understanding of the document. In this study, we will focus on the problem of proper names in automatic recognition systems . The problem is how to model relevant proper names for the audio document we want to transcribe. - Missions: We assume that in an audio document to transcribe we have missing proper names, i.e. proper names that are pronounced in the audio document but that are not in the lexicon of the automatic speech recognition system; these proper names cannot be recognized (out-of-vocabulary proper names, OOV PNs). The purpose of this work is to design a methodology how to find and model a list of relevant OOV PNs that correspond to an audio document. Assuming that we have an approximate transcription of the audio document and huge text corpus extracted from internet, several methodologies could be studied: * >From the approximate OOV pronunciation in the transcription, generate the possible writings of the word (phoneme to character conversion) and search this word in the text corpus. * A deep neural network can be designed to predict OOV proper names and their pronunciations with the training objective to maximize the retrieval of relevant OOV proper names. The proposed approaches will be validated using the ASR developed in our team. Keywords : deep neural networks, automatic speech recognition, lexicon, out-of-vocabulary words. - Bibliography [Mikolov2013] Mikolov, T., Chen, K., Corrado, G. and Dean, J. ?Efficient estimation of word representations in vector space?, Workshop at ICLR, 2013. [Deng2013] Deng, L., Li, J., Huang, J.-T., Yao, K., Yu, D., Seide, F., Seltzer, M., Zweig, G., He, X., Williams, J., Gong, Y. and Acero A. ?Recent advances in deep learning for speech research at Microsoft?, Proceedings of ICASSP, 2013. [Sheikh2016] Sheihk, I., Illina, I., Fohr, D., Linar?s, G. ?Improved Neural Bag-of-Words Model to Retrieve Out-of-Vocabulary Words in Speech Recognition?. Interspeech, 2016. [Li2017] J. Li, G. Ye, R. Zhao, J. Droppo, Y. Gong , ?Acoustic-to-Word Model without OOV?, ASRU, 2017. - Skills and profile : PhD in computer science, background in statistics, natural language processing, experience with deep learning tools ( keras, kaldi, etc.) and computer program skills ( Perl, Python ). - Additional information: Supervision and contact: Irina Illina, LORIA/INRIA ( illina at loria.fr ), Dominique Fohr INRIA/LORIA ( dominique.fohr at loria.fr ) https://members.loria.fr/IIllina/ , https://members.loria.fr/DFohr/ Additional links : Ecole Doctorale IAEM Lorraine Deadline to apply : June 6 th Selection results : end of June Duration :1 2 of months. Starting date: between Nov. 1 st 2018 and Jan. 1 st 2019 Salary: about 2.115 euros net, medical insurance included The candidates must have defended their PhD later than Sept. 1st 2016 and before the end of 2018. The candidates are required to provide the following documents in a single pdf or ZIP file: * CV including a description of your research activities (2 pages max) and a short description of what you consider to be your best contributions and why (1 page max and 3 contributions max); the contributions could be theoretical or practical. Web links to the contributions should be provided. Include also a brief description of your scientific and career projects, and your scientific positioning regarding the proposed subject. * The report(s) from your PhD external reviewer(s), if applicable. * If you haven't defended yet, the list of expected members of your PhD committee (if known) and the expected date of defence. In addition, at least one recommendation letter from the PhD advisor should be sent directly by their author(s) to the prospective postdoc advisor. Help and benefits: * Possibility of free French courses * Help for finding housing * Help for the resident card procedure and for husband/wife visa -- Associate Professor Lorraine University LORIA-INRIA office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Wed Jan 31 10:04:45 2018 From: dwang at cse.ohio-state.edu (WANG, DELIANG) Date: Wed, 31 Jan 2018 10:04:45 -0500 Subject: Connectionists: NEURAL NETWORKS, Feb. 2018 Message-ID: <05e29b56-b915-1f47-938a-4ebf2fcf28e2@cse.ohio-state.edu> Neural Networks - Volume 98, February 2018 http://www.journals.elsevier.com/neural-networks Reduced-order state estimation of delayed recurrent neural networks He Huang, Tingwen Huang, Xiaoping Chen Intrinsic sodium currents and excitatory synaptic transmission influence spontaneous firing in up and down activities Yihong Wang, Xuying Xu, Rubin Wang Global uniform asymptotic fixed deviation stability and stability for delayed fractional-order memristive neural networks with generic memductance Jiejie Chen, Boshan Chen, Zhigang Zeng Pth moment exponential stability of stochastic memristor-based bidirectional associative memory (BAM) neural networks with time delays Fen Wang, Yuanlong Chen, Meichun Liu Active learning for classifying data streams with unknown number of classes Saad Mohamad, Moamar Sayed-Mouchaweh, Abdelhamid Bouchachia Modeling spike-wave discharges by a complex network of neuronal oscillators Tatiana M. Medvedeva, Marina V. Sysoeva, Gilles van Luijtelaar, Ilya V. Sysoev Matrix completion by deep matrix factorization Jicong Fan, Jieyu Cheng Nonlinear predictive control for adaptive adjustments of deep brain stimulation parameters in basal ganglia?thalamic network Fei Su, Jiang Wang, Shuangxia Niu, Huiyan Li, Bin Deng, Chen Liu, Xile Wei Kernel Bayesian ART and ARTMAP Naoki Masuyama, Chu Kiong Loo, Farhan Dawood A loop-based neural architecture for structured behavior encoding and decoding Thomas Gisiger, Mounir Boukadoum Support vector machine with Dirichlet feature mapping Ali Nedaie, Amir Abbas Najafi A regularization path algorithm for support vector ordinal regression Bin Gu Towards understanding sparse filtering: A theoretical perspective Fabio Massimo Zennaro, Ke Chen A new randomized Kaczmarz based kernel canonical correlation analysis algorithm with applications to information retrieval Jia Cai, Yi Tang Manifold optimization-based analysis dictionary learning with an image-norm regularizer Zhenni Li, Shuxue Ding, Yujie Li, Zuyuan Yang, Shengli Xie, Wuhui Chen Impact of leakage delay on bifurcation in high-order fractional BAM neural networks Chengdai Huang, Jinde Cao OnARTMAP: A Fuzzy ARTMAP-based Architecture Alan L.S. Matias, Ajalmar R. Rocha Neto Region stability analysis and tracking control of memristive recurrent neural network Gang Bao, Zhigang Zeng, Yanjun Shen Global exponential stability and lag synchronization for delayed memristive fuzzy Cohen?Grossberg BAM neural networks with impulses Wengui Yang, Wenwu Yu, Jinde Cao, Fuad E. Alsaadi, Tasawar Hayat Fixed-time stabilization of impulsive Cohen?Grossberg BAM neural networks Hongfei Li, Chuandong Li, Tingwen Huang, Wanli Zhang Adaptive neuro-heuristic hybrid model for fruit peel defects detection Marcin Wozniak, Dawid Polap Standard representation and unified stability analysis for dynamic artificial neural network models Kwang-Ki K. Kim, Ernesto R?os Patr?n, Richard D. Braatz Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations Lin Xiao, Bolin Liao, Shuai Li, Ke Chen Necessary and sufficient conditions of proper estimators based on self density ratio for unnormalized statistical models Kazuyuki Hiraoka, Toshihiko Hamada, Gen Hori On the approximation by single hidden layer feedforward neural networks with fixed weights Namig J. Guliyev, Vugar E. Ismailov A deep learning framework for causal shape transformation Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar From sebastian.risi at gmail.com Wed Jan 31 17:12:19 2018 From: sebastian.risi at gmail.com (Sebastian Risi) Date: Wed, 31 Jan 2018 23:12:19 +0100 Subject: Connectionists: Post-doc position: Lifelong learning machines Message-ID: The IT University of Copenhagen invites highly motivated individuals to apply for a Postdoc position starting April 1st or soon thereafter for a duration of two years. Application Deadline: March 1st, 2018 The overall aim of the project is to create lifelong learning machines by combining ideas from neuroevolution, reinforcement learning, and neural plasticity. The ultimate goal of the research is to create a self-driving agent that can continually improve its performance and update its knowledge unsupervised, rapidly adapt to unforeseen contexts, and consolidate new tasks without forgetting old ones. The successful candidate will complement an international, interdisciplinary team of researchers from Europe and the US with experience in deep learning, brain models, robotics, neuro evolution and neural plasticity. The postdoc will support the project by developing indirect encodings for the evolution of large-scale plastic neural networks. The successful candidate is expected to hold a PhD in computer science or similar with experience in some of the following topics: - Memory-augmented Neural Networks (Neural Turing Machine, Memory Networks, etc.) - Neural Plasticity - Neuroevolution - Meta learning - Indirect encodings (HyperNEAT, HyperNetworks, etc.) - Evolutionary algorithms - Deep RL The successful candidate will join the Robot, Evolution, and Art Lab (REAL), which is a newly created research group at the IT University of Copenhagen (see https://real.itu.dk). Application: The applicant should have a good track record of top-tier research publications in machine learning, or evolutionary computation. The application must be in English and must include: - A motivated application, including a research statement and a cogent argument for how qualified you are for the position - A full CV, including name, address, phone number, e-mail, previous and present employment and academic background Documentation of academic degrees (copy of degree certificates etc.) - Top 3 publications - A numbered list of publications. The enclosed publications should be marked with an asterisk (*) More information and application portal: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=180934&uiculture=en&MediaId=1282 For questions please contact: sebr at itu.dk -- Dr. Sebastian Risi Associate Professor IT University of Copenhagen, Room 5D12 Rued Langgaards Vej 7, 2300 Copenhagen, Denmark email: sebastian.risi at gmail.com, web: www.sebastianrisi.com mobile: +45-50250355, office: +45-7218-5018 From ttrogers at wisc.edu Wed Jan 31 10:37:23 2018 From: ttrogers at wisc.edu (TIMOTHY T ROGERS) Date: Wed, 31 Jan 2018 15:37:23 +0000 Subject: Connectionists: FINAL CALL: CogSci 2018 submissions close tomorrow at midnight PT. In-Reply-To: References: Message-ID: CogSci 2018 40th Annual Meeting of the Cognitive Science Society Changing Minds Madison, United States July 26 - 28, 2018 (Tutorials & Workshops: July 25, 2018) The online submission is now open. You may review the criteria and make your submission at: http://www.cognitivesciencesociety.org/conference/cogsci-2018/submissions/ ____________________________________________________________ Highlights Include: Plenary Speakers: Helen Neville, University of Oregon Matt Botvinick, Google DeepMind Michael Kearns, University of Pennsylvania 16th Rumelhart Prize Presentation: Michael Tanenhaus, University of Rochester Invited Symposia: Big Data Goes to School Burr Settles, Duolingo Art Graesser, University of Memphis Steve Ritter, Carnegie Learning Marcia Linn, UC-Berkeley The Cognitive Science of Persuasion David Rand, Yale University Ulrike Hahn, Birkbeck- U of London Colleen Seifert, University of Michigan Dan Kahan, Yale University Cognitive scientists from around the world are invited to attend CogSci 2018! The Annual Meeting of the Cognitive Science Society is the world's premiere annual conference the interdisciplinary study of cognition. Cognitive Science draws on a broad spectrum of disciplines, topics, and methodologies, and CogSci 2018 reflects this diversity in its theme. In addition to the invited presentations, the program will be filled with competitive peer-reviewed submissions of several kinds: research papers, contributed symposia, publication-based talks, member abstracts, tutorials, and workshops. Submissions may report on work involving any approach to Cognitive Science, including, but not limited to, anthropology, artificial intelligence, computational cognitive systems, cognitive development, cognitive neuroscience, cognitive psychology, education, evolution of cognition, linguistics, logic, machine learning, network analysis, neural networks, philosophy, and robotics. Please see the submissions page on the conference website for submission categories, including a new option to publish only the abstract portion of 6-page submissions. The deadline for submissions is February 1, 2018. All submissions must be made via the conference program website. Information regarding the submission process may be found at: http://www.cognitivesciencesociety.org/conference/cogsci-2018/submissions/ Conference Co-Organizers: Chuck Kalish, Martina Rau, Jerry Zhu, & Timothy Rogers -------------- next part -------------- An HTML attachment was scrubbed... URL: