From dwang at cse.ohio-state.edu Mon Jul 2 03:01:44 2018 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Mon, 2 Jul 2018 03:01:44 -0400 Subject: Connectionists: NEURAL NETWORKS, July 2018 Message-ID: Neural Networks - Volume 103, July 2018 http://www.journals.elsevier.com/neural-networks A multivariate additive noise model for complete causal discovery Pramod Kumar Parida, Tshilidzi Marwala, Snehashish Chakraverty Information-theoretic decomposition of embodied and situated systems Federico Da Rold The convergence analysis of SpikeProp algorithm with smoothing L_1/2 regularization Junhong Zhao, Jacek M. Zurada, Jie Yang, Wei Wu Beyond Low-Rank Representations: Orthogonal clustering basis reconstruction with optimized graph structure for multi-view spectral clustering Yang Wang, Lin Wu Learning from label proportions on high-dimensional data Yong Shi, Jiabin Liu, Zhiquan Qi, Bo Wang Multilayer bootstrap networks Xiao-Lei Zhang Personalized response generation by Dual-learning based domain adaptation Min Yang, Wenting Tu, Qiang Qu, Zhou Zhao, et al. The Growing Curvilinear Component Analysis (GCCA) neural network Giansalvo Cirrincione, Vincenzo Randazzo, Eros Pasero Spiking neural networks for handwritten digit recognition - Supervised learning and network optimization Shruti R. Kulkarni, Bipin Rajendran Boundedness and global robust stability analysis of delayed complex-valued neural networks with interval parameter uncertainties Qiankun Song, Qinqin Yu, Zhenjiang Zhao, Yurong Liu, Fuad E. Alsaadi A nonnegative matrix factorization algorithm based on a discrete-time projection neural network Hangjun Che, Jun Wang Impulsive synchronization of stochastic reaction-diffusion neural networks with mixed time delays Yin Sheng, Zhigang Zeng Robust generalized Mittag-Leffler synchronization of fractional order neural networks with discontinuous activation and impulses A. Pratap, R. Raja, C. Sowmiya, O. Bagdasar, et al. General memristor with applications in multilayer neural networks Shiping Wen, Xudong Xie, Zheng Yan, Tingwen Huang, Zhigang Zeng From mark.humphries at manchester.ac.uk Mon Jul 2 06:28:21 2018 From: mark.humphries at manchester.ac.uk (Mark Humphries) Date: Mon, 2 Jul 2018 10:28:21 +0000 Subject: Connectionists: Fully-funded UK/EU PhD studentship in neural data science Message-ID: <71522_1530528304_w62Aj1dR072458_7E954275ED82B9468C2C731FB72522F5013E0E3C08@MBXP09.ds.man.ac.uk> A fully-funded EU/UK PhD studentship is available in the lab of Prof Mark Humphries at the University of Nottingham, on a project entitled "Inferring the connectome using voltage imaging". This project will develop computational techniques to accurately infer wiring between neurons from the next generation of imaging techniques that directly record neuron voltages. The project will combine development of algorithms, simulations of neural circuits as test-beds, and analysis of real imaging data from neural populations. For a primer on the problem of finding the wiring between neurons, read our piece here: https://medium.com/the-spike/mindlessly-mapping-the-brain-1dec092a404d Find out more about the lab and its interests here: https://www.humphries-lab.org/ More details, eligibility, and application instructions here: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=97729 Deadline: 25th July 2018 Start date: October 2018 To discuss this or other projects, please contact Prof Mark Humphries (mark.humphries at nottingham.ac.uk). Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience humphries-lab.org [0da17e2a-9ed5-496a-b161-9fd4491ce5c7]@markdhumphries Public blog: https://medium.com/the-spike -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc2018 at gmail.com Mon Jul 2 07:04:13 2018 From: iswc2018 at gmail.com (Maribel Acosta) Date: Mon, 2 Jul 2018 13:04:13 +0200 Subject: Connectionists: ISWC 2018 - Student Travel Award (new dates!) Message-ID: 17th International Semantic Web Conference (ISWC 2018) Monterey, California (USA), October 8-12, 2018 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/ ==== ISWC 2018 STUDENT TRAVEL GRANTS === Submission deadline (NEW!): August 15th, 2018 Notifications (NEW!): August 31st, 2018 If you are a student interested in attending ISWC 2018, you may be eligible to apply for travel grants to support the costs of travel and lodging. This year, travel grants are funded by the Semantic Web Science Association (SWSA) and the U.S. National Science Foundation (NSF). Applying for a Student Travel Award ==================================== Please make sure that you have submitted your application and that your supervisor has sent us a confirmation email by *August 15th, 2018* (new deadline!). To apply for a grant please follow the steps described at: http://iswc2018.semanticweb.org/student-travel-grants/ Questions ========= If you have any questions or would like to discuss your specific requirements please do not hesitate to contact iswc.travel.awards at gmail.com. The ISWC Organising Committee (http://iswc2018.semanticweb.org/organization/) ISWC 2018 is sponsored by Elsevier, IBM, Oracle, data.world, metaphacts, videolectures.net, and Thomson Reuters. -------------- next part -------------- An HTML attachment was scrubbed... URL: From caspar.schwiedrzik at googlemail.com Mon Jul 2 05:52:04 2018 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Mon, 2 Jul 2018 11:52:04 +0200 Subject: Connectionists: =?utf-8?q?Neuroscience_data_analyst_opening_at_Eu?= =?utf-8?q?ropean_Neuroscience_Institute_G=C3=B6ttingen=2C_Germany?= Message-ID: The European Neuroscience Institute G?ttingen (ENI-G) is seeking a *Neuroscience data analyst * initially limited until 31.12.2019 with extension options, full-time | salary according to TV-L About us The University Medical Center G?ttingen is a tertiary care center and offers great development potential. Its 7,700 employees work in over 65 departments and facilities to provide top-quality patient care, excellent research and modern teaching. G?ttingen, ?City of Science?, located near the center of Germany, the University Medical Center G?ttingen is embedded in the city?s attractive network of scientific research facilities. The European Neuroscience Institute is looking to fill the position of a data analyst (full time). We are looking for a data analyst with interest and experience in systems neuroscience. Research at the European Neuroscience Institute ranges from molecular biology to human psychophysics and involves a range of model organisms (from drosophila to non-human primates), techniques and approaches (electrophysiology, two-photon imaging, fMRI, EEG, behavior). The data analyst will work closely with various research groups at the European Neuroscience Institute, supporting research efforts, e.g., through modelling and statistical analyses of high-dimensional data, image processing, and programming/development of experiments. S/he will have the opportunity to develop and publish, e.g., analytical tools that arise from this work. - The applicant should possess a university degree in a relevant field, e.g., statistics, biostatistics, informatics, or similar. Prior experience in the field of systems neuroscience is highly desired. - The applicant should have experience in a research setting utilizing quantitative methods and statistics. The applicant shall demonstrate strong analytical skills and knowledge of novel and emerging analysis techniques is highly desired. Future/forward thinking in the area of big data analytics/informatics and applying them to contribute to the research groups? scientific process is expected. - The applicant should be skilled in the analysis of multivariate datasets to reveal patterns and build models; conduct exploratory data analysis, and communicate with team lead/team members; identify improvements for existing data management and recommend requirements for new systems. - Contribute to replicability by making suggestions for existing data management and recommend requirements for new systems and identify potential data integrity issues. - Utilize programming languages such as Python, Matlab and/or C++. - Good command of English is mandatory. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. We look forward to receiving your application by *July 15th, 2018* University Medical Center G?ttingen European Neuroscience Institute G?ttingen Dr. Caspar Schwiedrzik Group Leader Grisebachstr. 5 37077 G?ttingen Tel.: 0551/39-61371 E-Mail: cschwie3 at gwdg.de <%20cschwie3 at gwdg.de> Web: http://www.eni-g.de/ *Please send your application only via e-mail as a PDF-file. * -------------- next part -------------- An HTML attachment was scrubbed... URL: From james.henderson at idiap.ch Mon Jul 2 10:58:35 2018 From: james.henderson at idiap.ch (James Henderson) Date: Mon, 2 Jul 2018 16:58:35 +0200 Subject: Connectionists: Postdoc in deep learning for Natural Language Understanding at Idiap (Switzerland) Message-ID: <5813e63a-37c7-5b1e-fb39-938e5e07355a@idiap.ch> The Idiap Research Institute seeks qualified candidates for a postdoctoral position in the field of natural language understanding, developing deep learning methods related to natural language inference and summarisation. The research will be conducted in the framework of a multi-disciplinary Swiss NSF funded project, in collaboration with researchers in Political Science and Economics. This project will model data from human interpretations of policy announcements through fundamental advances in representation learning and deep learning architectures for natural language inference, including natural language understanding technologies such as syntactic and semantic parsing, textual entailment and summarisation. The ideal Postdoc candidate should hold a PhD degree in computer science, computational linguistics or related fields. She or he should have a background in natural language processing and machine learning. The applicant should also have strong programming skills. The successful Postdoc candidate will join the Natural Language Understanding group at Idiap, under the supervision of Dr. James Henderson. Appointment for this position is for an initial period of 1 year, with a starting salary of 80,000 CHF/year, with the possibility of renewal based on performance. Funding is currently available for 4 years. Starting date is to be negotiated, preferably within the last quarter of 2018. All queries related to the advertised position can be sent to Dr. James Henderson (james.henderson at idiap.ch). Please apply online here: http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710250%27%7D Idiap is an independent, not-for-profit, research institute funded by the Swiss Federal Government, the State of Valais, and the City of Martigny, in a scenic region surrounded by the highest mountains of Europe, offering exceptional quality of life, and within close proximity to Lausanne and Geneva.? Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative. Sincerely, ? - James Henderson ??? james.henderson at idiap.ch From moreau at esat.kuleuven.be Mon Jul 2 10:26:23 2018 From: moreau at esat.kuleuven.be (Yves Moreau) Date: Mon, 2 Jul 2018 16:26:23 +0200 Subject: Connectionists: FINAL CALL FOR ABSTRACTS: Summer School on Machine Learning in Drug Design, August 20-22, 2018, Leuven, Belgium - DEADLINE: JULY 15, 2018 Message-ID: Dear Colleague, The Summer School on Machine Learning in Drug Design will take place on August 20-22, 2018 in Leuven, Belgium. This Summer School will bring together the machine learning, chemoinformatics, and bioinformatics communities from academia and industry to tackle the challenges of complex data integration in drug design and discovery. The format of the event will combine multiple keynote presentations, oral contributions selected from submitted abstracts, and extensive poster sessions with ample time for discussion. As this is an emerging area, the event will also aim at giving good exposure to promising junior researchers. We invite you to submit your abstract for oral presentation or poster by July 15, 2018 at http://mldd.esat.kuleuven.be . Please forward this announcement to members of your team and to interested colleagues. More information is available below and at http://mldd.esat.kuleuven.be , or by email at mldd at esat.kuleuven.be . Apologies for multiple postings. Best regards, Prof. Yves Moreau, University of Leuven Prof. Sepp Hochreiter, Johannes Kepler University of Linz Prof. Samuel Kaski, Aalto University SCOPE The data sets amenable to mining for drug design are rapidly expanding. This holds not only for the volume of conventional annotation of chemicals (i.e., representations of their chemical structure and their activities in a growing set of validated assays). It also goes for less conventional data sources, such as cellular microscopy or gene expression profiles of chemicals acquired at high throughput. Powerful novel machine learning methods unleashed on these massive volumes of heterogeneous and rich, but noisy and biased data, hold the promise of better and safer drugs to address unmet medical needs. To deliver on that promise, the Summer School calls on the machine learning, big data analytics, cheminformatics and bioinformatics communities to join forces and strengthen collaborative work at the interface of their disciplines. The Summer School will bring together contributors from both academia and industry to foster interdisciplinary exchange in this area where the need for expertise is growing rapidly. Contributions will cover recent advances in chemogenomics, strategies for data fusion, and machine learning. INVITED SPEAKERS Val Gillet (University of Sheffield) Daniel Reker (MIT) Gilles Marcou (University of Strasbourg) Florian Nigsch (Novartis) Tim Becker (Harvard University) Djork-Arn? Clevert (Bayer) Gerard van Westen (Leiden University) Thomas Blaschke (AstraZeneca) G?nter Klambauer (JKU Linz) INTENDED AUDIENCE AND FORMAT The summer school is intended for academic and industry researchers in machine learning, chemoinformatics, or bioinformatics who are either currently working at the interface between these fields or want to expand their skills to link these three areas. The summer school is also intended as a bridge between academia and industry. The format of the event will combine comprehensive invited presentations, oral contributions selected from submitted abstracts, and extensive poster sessions with ample time for discussion. ABSTRACT SUBMISSION Participants are invited to submit abstracts for oral contributions and posters by July 15, 2018. Abstracts can submitted for consideration for oral presentation (up to 1,000 words) or for consideration as poster only (up to 250 words). Abstracts selected for oral presentation will be notified by July 22, 2018. Abstracts will be available as a book of abstracts and online, but there will be no full proceedings. REGISTRATION AND FEE Early registration fee (before July 20, 2018): ?180 (including VAT) Late registration fee (before August 13, 2018): ?300 (including VAT) The fee covers participation to the meeting and includes coffee breaks and lunch (sandwich lunch). VENUE The Summer School will be held at the Irish College, a beautifully restored historical building in the center of Leuven, Belgium. The city of Leuven, next to Brussels, is one of Europe?s top university towns boasting beautiful medieval and Renaissance architecture and a bustling city center with great pubs and restaurants. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pomarien at gmail.com Mon Jul 2 23:58:14 2018 From: pomarien at gmail.com (Samir ouchani) Date: Tue, 3 Jul 2018 05:58:14 +0200 Subject: Connectionists: CYBER PHYSICAL PRODUCTION SYSTEMS: THEORY AND PRACTICES (CPPS-2018) Message-ID: *CYBER PHYSICAL PRODUCTION SYSTEMS: THEORY AND PRACTICES (CPPS-2018)* *November 5-8, 2018, Leuven, Belgium* *Organized by:* CESI Research/LINEACT CESI High Engineering School *Aims:* Industry 4.0 is the new generation of manufacturing systems called Cyber-Physical Production Systems (CPPS) that are able to face the current economic and societal challenges. Its implementation is based on a set of new manufacturing technologies (IoT and Industrial IoT, Robotics and Cobotics, Augmented/Virtual Reality, Additive Manufacturing, Cloud Manufacturing ?), data collection, storage and analysis, and digital twin (Digital Factory, Simulation and Decision Tools ?). In general, CPPS are complex due to the composition and the combination of the system?s components: digital, software, and physical elements. The physical parts are connected to a network, which is controlled by software components or, sometimes, manually. Examples of such systems can be found in manufactories, avionics, automotive systems, nuclear power plants, etc. Interoperability, safety, reliability, maintenance and security aspects of CPPS is challenging due to the inherent complexity of CPPS. Moreover, it is not sufficient to ascertain one aspect of the individual components in isolation: faults and threats in CPPS systems could also be due to the interaction between the physical, digital and software parts of CPPS. Therefore, the system must be studied as a whole, which sets this emerging discipline apart from these individually established fields. CPPS-2018 event provides a platform for professionals from academia, government, and industry to discuss how to address the increasing the issues challenges facing CPPS. *Scope:* CPPS-2018 invites submissions discussing the employment of data-driven, model-based, and statistical approaches in CPPS. Topics of either theoretical, empirical or applied interest include, but are not limited to: ? CPPS Modeling (forma, semi-formal, UML, SysML, ADAAL, etc). ? Formal methods for CPPS (abstraction, compositional verification, model checking, theorem proving, simulation, testing, etc) ? Decision making process in CPPS ? IoT architecture and protocol for CPPS ? Design safe, reliable, and secure CPPS ? Data collection, extraction and analysis in CPPS ? Safety, reliability, and Risk analysis techniques for CPPS ? Threat modeling for CPPS ? Security requirements specification, Security policies and access control for CPPS ? Human aspects and robot interactions in CPPS ? Case studies, tools, and experimental results for CPPS *Program committee (Initial list):* ? Abdelaziz Khaled (GeantSoft, Fr) ? Abdelwahab Hamou-Lhadj (Concordia Unversity, CA) ? Amel Bennaceur (The Open University,UK) ? Antoine Rollet (University of Bordeaux, Fr) ? Baudry David (CESI / LINEACT, Fr) ? Bouziane Brik (University of Laghouat, Dz) ? Flavio Oquendo (IRISA (UMR CNRS) ? Univ. Bretagne-Sud (UBS), Fr) ? GilesReger (The University of Manchester, UK) ? Hao Wu National (University of Ireland, Ir) ? Khadidja Chaib?Draa (University of Luxembourg, Lu) ? ?ukasz Czajka (University of Copenhagen , Dk) ? Philippe Palanque (ICS-IRIT, University Toulouse 3, Fr) ? Samiha Ayed (Telecom Bretagne,Fr) ? Thierry Lecomte (ClearSy, Fr) *Organizing committee:* ? Garcia David (CESI / LINEACT, Fr) ? Messaadia Mourad (CESI / LINEACT, Fr) ? Ouchani Samir (*PC Chair**,* CESI / LINEACT, Fr) ? Sghaier Nouha (CESI / LINEACT, Fr) ? Sahnoun M?Hammed (CESI / LINEACT, Fr) *Important dates * ? Paper Submission: September 1, 2018 ? Notification: October 01, 2018 ? Camera-ready: October 12, 2018 *Submissions & Publications:* Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. At least one author of each accepted paper will be required to present the work at the workshop. All papers accepted for the workshop will be included in the EUSPN-2018 proceedings and published by Elsevier. The authors must follow Elsevier guidelines provided at EUSPN-2018 website. The number of pages for workshop papers is limited to 6 pages. Selected outstanding papers presented at the workshop, after further revision, will be considered for publication in special issues of selected journals. Authors should submit their contributions here , electronically in PDF format. Submit your workshop papers here -------------- next part -------------- An HTML attachment was scrubbed... URL: From james.rankin at gmail.com Tue Jul 3 09:06:23 2018 From: james.rankin at gmail.com (James Rankin) Date: Tue, 3 Jul 2018 09:06:23 -0400 Subject: Connectionists: EPSRC funded Postdoctoral Research Fellow in Computational and Mathematical Neuroscience Message-ID: *Postdoctoral Research Fellow in Computational and Mathematical Neuroscience* Location: College of Engineering, Mathematics, Physical Sciences at the University of Exeter (Streatham Campus) Job reference: P62935 Application closing date: *29/07/2018* Interview date: *10/08/2018* Salary From ?34,520 on Grade F, dependent on knowledge, skills and experience This new full-time post is available from *1st October 2018* on a fixed term contract basis for *2 years*. The College of Engineering, Mathematics and Physical Sciences, wishes to recruit a Postdoctoral Research Fellow to participate in the project Neural oscillator network modelling of auditory stream segregation. This EPSRC funded post is available from 01/10/2018 for 2 years. The successful candidate will join the Systems Biomedicine and Dynamical Systems research groups housed in the recently launched GBP 50m Living Systems Institute at the University of Exeter. These groups house over 50 researchers applying mathematical and computation approaches to study problems in neuroscience, biology and healthcare. The project will benefit from input from colleagues with expertise in neural networks, bifurcation theory, coupled oscillators and numerical methods. The Post: The project will involve developing mathematical and computational models to deepen our understanding of auditory stream segregation. This is a fundamental process in the auditory system that allows us to separate out and focus on distinct sound streams (e.g. voices) in a dynamic noisy environment. This process involves competition in order to resolve different interpretations of a given environment (e.g. different groupings of objects). Many aspects of this process are still not well understood, such as where in the brain segregation of streams is achieved, how the streams are encoded and the driving neural mechanisms. This project will develop a biologically motivated model inspired by a broad cross section of modelling and experimental literature (from anatomical, neurophysiological, brain imaging and behavioural experiments). The models developed will be based on networks of coupled neural oscillators. Neural oscillations are understood to be vital for the encoding of temporal information in auditory streaming. Dynamical systems theory including bifurcation analysis and numerical methods will provide the necessary tools to understand the dynamics of the models developed. About you: - Candidates with quantitative backgrounds (Mathematics, Physics, Engineering) and from Neuroscience programmes with a strong computational component are encouraged to apply. - Applicants will possess a PhD or equivalent in one of these areas or a related field. T - You will also be able to work collaboratively and supervise the work of others. - Programming experience in a high-level language (e.g. Matlab, Python, C/C++) is a must and knowledge of dynamical systems theory is a plus. - Experience working on interdisciplinary projects involving the application of mathematical and computational tools to problems in Biology or Neuroscience will be viewed favourably. The University offers some fantastic benefits including 41 days leave per year, options for flexible working, numerous discounts at leading retailers, onsite gym, cycle to work scheme, sector leading policies around maternity, adoption and shared parental leave (up to 26 weeks full pay), paternity leave (up to 6 weeks full pay), and a new Fertility Treatment Policy; and a stunning campus environment in the heart of Exeter. If you are not currently in Exeter please have a look at our website for some further information on what a beautiful part of the country we are based in. *For further information, please contact Dr James Rankin, email j.a.rankin at exeter.ac.uk * https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/ ETREC107GF.open?VACANCY_ID=258266M3V7&WVID=3817591jNg http://emps.exeter.ac.uk/mathematics/staff/jar226 The University of Exeter is an equal opportunity employer. We are officially recognised as a Disability Confident employer and an Athena Swan accredited institution. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce. -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.schwarzwaelder at fz-juelich.de Tue Jul 3 06:06:15 2018 From: k.schwarzwaelder at fz-juelich.de (Kerstin Schwarzwaelder) Date: Tue, 3 Jul 2018 12:06:15 +0200 Subject: Connectionists: Bernstein Network Information Booth at FENS Forum 2018 in Berlin In-Reply-To: References: Message-ID: Dear colleagues, The Bernstein Network Computational Neuroscience will have an exhibition booth (no. 36) at the upcoming FENS Forum in Berlin (July 7 - 11, 2018). The booth will present: * research in the Bernstein Network * open positions * study and training programs * SMARTSTART training program in Computational Neuroscience, * infrastructural facilities: Bernstein Facility for Data Management (G-Node) and Bernstein Facility for High Performance Simulation and Data Analytics (Simulation Laboratory Neuroscience) * Data management service (GIN) and Electrophysiology Analysis Toolkit (Elephant) During the following times, G-Node will give demo presentations of their data management service (GIN) for storing, sharing, and publishing research data: Sunday, July 8, 14:00-16:00 Monday, July 9, 11:00-13:00 Tuesday, July 10, 14:00-16:00 Wednesday, July 11, 11:00-13:00 Also, there will be a demonstration on data analysis using the Electrophysiology Analysis Toolkit (Elephant): Sunday, July, 8, 11:00-13:00 Monday, July 9, 14:00-16:00 Tuesday, July, 10, 11:00-13:00 We are looking forward to welcoming you at our booth no. 36! Best regards, Kerstin Schwarzw?lder -- 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 hrvoje.stojic at protonmail.com Tue Jul 3 11:12:23 2018 From: hrvoje.stojic at protonmail.com (Hrvoje Stojic) Date: Tue, 03 Jul 2018 11:12:23 -0400 Subject: Connectionists: Postdoctoral position on decision neuroscience at Aarhus University and University College London Message-ID: Postdoctoral position on decision neuroscience at Aarhus University and University College London The Department of Management at Aarhus University and University College London, invites applications for a 2-year postdoctoral position offering applicants an exciting opportunity to join a new research project on the role of the locus coeruleus-norepinephrine system in learning and decision making. Application deadline: 15th of July 2018. Starting date: 1st of October 2018 or subject to mutual agreement. This project is funded by Lundbeckfonden (www.lundbeckfonden.com) and aims to advance our understanding of the locus coeruleus-norepinephrine (LC-NE) system and neural gain by (i) developing new and inexpensive methods for indexing LC-NE activity in learning and decision making tasks using pupil size (pupillometry) and eye movements, (ii) cross-validate the new method with magnetoencephalography (MEG) signatures of neural gain, and (iii) using these methods to investigate the role of the LC-NE system in balancing the exploration and exploitation in reinforcement learning. Overall, the project aims to advance our understanding of how decision makers balance exploration and exploitation and how they attend to and learn from the environment in doing so. The exploration-exploitation trade-off is relevant in a wide range of situations, for instance, in managerial decision making concerning new investments or in consumer decision making between known and unfamiliar products. Our aim is to build a better understanding of the cognitive processes behind these real world decision problems. The project is a joint collaboration between Jacob L. Orquin at Aarhus University and Ray Dolan at the Max Planck UCL Centre, University College London (UCL) (https://www.mps-ucl-centre.mpg.de/en). The successful candidate is expected to contribute to the overall objectives of the project by being involved in all phases of the project, including formulating research questions, experimental designs, analyses, and writing articles. The position is research-oriented, but may involve teaching assignments depending on the interests of the candidate. The candidate will be based at Aarhus University, but will receive an Honorary contract at University College London as parts of the project will be carried out at the Max Planck UCL Centre and Wellcome Centre for Human Neuroimaging at UCL. The candidate will be affiliated at Aarhus University and the Max Planck UCL Centre, London. It is therefore a requirement that the candidate is willing to be in London for a certain period of the project. Candidates must hold a PhD relevant to the academic areas of the project and have experience with data analysis and programming of experiments in at least one programming language such as R, Python, or Matlab. Experience with one or more of the following research areas is desirable: i) eye tracking and pupillometry ii) neuroimaging techniques such as fMRI or MEG iii) computational modeling such as reinforcement learning iv) basic or applied decision making theory. For further information about the position and the department, please contact Jacob L. Orquin, Tel.: +45 22178621, Email: jalo at mgmt.au.dk. See the job posting here: http://www.au.dk/om/stillinger/videnskabelige-stillinger/stillinger/Vacancy/show/983154/5285/ Apply online here: https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/ApplicationForm.cfm?VacatureID=983154&PortalID=5285 -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Tue Jul 3 10:28:00 2018 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Tue, 3 Jul 2018 15:28:00 +0100 Subject: Connectionists: [Jobs] AI Topic Leaders & Research Engineers/Scientists at Alpha Health (Barcelona) Message-ID: Alpha, Europe?s first Moonshot innovation company (http://alpha.company) ? operating out of beautiful Barcelona and working with a network of collaborating institutions all around the globe ? are searching for founding staff for the new Alpha Health AI Lab. The AI team in Alpha Health is set up to tackle some of the biggest AI and Machine-Learning challenges we face when working on the Moonshot of eradicating chronic diseases from the list of top causes of death. Our team will consist of an interdisciplinary group of world-class research scientists in the fields of computer science, maths, computational neuroscience, physics and machine-learning. We build proof-of-concept stage prototypes to solve some of the key challenges in AI and Machine-Learning in the field. We currently are searching for: - AI Topic Leaders (Empathic AI//Anonymous & Distributed ML//Trustworthy AI): https://jobs.lever.co/alpha/55f2a20e-e262-43bb-9f5e-bcb33c1d51cf - AI Research Engineers (Full-Stack, ML): https://jobs.lever.co/alpha/4c8e4883-53f8-4da7-a82c-cd4868644065 If you want to know more, have a look at the job ads following the link(s) and/or send a message to me (Tarek.Besold at gmail.com) or Pascal Weinberger ( pascal.weinberger at telefonica.com), adding the tag [AlphaAI] to the subject line. If you decide to apply, please include the tag ?[CONNECTIONISTS]? as identifier in your contact message, remembering the old proverb: ?Tell me which are your mailing lists??. ;) -------------- next part -------------- An HTML attachment was scrubbed... URL: From yang at maebashi-it.org Tue Jul 3 23:39:51 2018 From: yang at maebashi-it.org (Yang) Date: Wed, 4 Jul 2018 12:39:51 +0900 Subject: Connectionists: [Deadline Extended] Call for Papers -- Brain Informatics 2018 Message-ID: <122008C83FA04B74B9D3AF805C234A90@yangPC> [Apologies if you receive this more than once] Deadline Extended -- CALL FOR PAPERS The 11th International Conference on Brain Informatics (BI'18) December 7-9, 2018, Arlington, Texas, USA Homepage: http://uta.engineering/conferences/bi-2018/ ---Advancing BI Technologies from Basic Science Research to Real-World Practice--- ============================================== July 26, 2018: Papers submission deadline (Extended) August 1, 2018: Abstract Submission deadline ============================================== The International Conference on Brain Informatics series (BI) has established itself as the world?s premier research forum that brings together researchers and practitioners from neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies with the purpose of exploring the fundamental roles, interactions as well as practical impacts of Brain Informatics. The BI'18 will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings, and strategies in brain informatics research and brain-inspired concepts and technologies. It welcomes emerging technologies for addressing fundamental neurobiological questions about healthy brain function, laying the groundwork for advancing treatments for brain disorders or injury, and for generating brain-inspired "smart" artificial intelligence and computing technologies to meet future societal needs. It will educate and expand the brain informatics workforce and create new career opportunities for brain research and related innovations. The BI'18 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be peer-reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI (http://www.springer.com/us/book/9783319707716). Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing IMPORTANT DATES: ================ July 26, 2018: Papers submission deadline (Extended) August 30, 2018: Notification of paper acceptance August 1, 2018: Abstract Submission deadline August 30, 2018: Notification of abstract acceptance December 7, 2018: Workshops & Special Sessions December 8-9, 2018: Main conference PAPER SUBMISSIONS & PUBLICATIONS: ================================= TYPE-I (Full Paper Submissions): Papers need to have up to 10 pages in LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 All full length papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. TYPE-II (Abstract Submissions): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. *** Post-Conference Journal Publications *** The Brain Informatics conferences have the formal ties with the Open Access Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted full papers will be selected to publish in the Open Access Brain Informatics Journal upon revision. No article-processing fee will be charged for authors of Brain Informatics conference. *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ORGANIZERS ========== General Chairs Tom Mitchell (Carnegie Mellon University, USA) Leon Iasemidis (Louisiana Tech, University, USA) Ning Zhong (Maebashi Institute of Technology, Japan) Program Committee Chairs Jianzhong Su (University of Texas at Arlington, USA) Vicky Yamamoto (University of South California, USA) Yu-Ping Wang (Tulane University, USA) Organizing Chairs Shouyi Wang (University of Texas at Arlington, USA) Erick Jones (University of Texas at Arlington, USA) Fenghua Tian (University of Texas at Arlington, USA) Workshop/Special-Session Chairs Chou, Chun-An (Northwestern University, USA) Xiangnan Kong (Worcester Polytechnic Institute, USA) Felicia Jefferson (Fort Valley State University, USA) Jing Qin (Montana State University, USA) Panel/Tutorial Chairs Yang Yang (Maebashi Institute of Technology, Japan/Beijing Advanced Innovation Center for Future Internet Technology, China) Vassiliy Tsytsarev (University of Maryland, USA) Publicity Chairs Paul Wen (University of Southern Queensland, Australia) Huiguang He (Chinese Academy of Sciences, China) Mufti Mahmud (University of Padova, Italy) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** Shouyi Wang Email: shouyiw at uta.edu Vicky Yamamoto Email: Vicky.Yamamoto at med.usc.edu Yang Yang Email: yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From stdm at zhaw.ch Wed Jul 4 07:42:20 2018 From: stdm at zhaw.ch (Stadelmann Thilo (stdm)) Date: Wed, 4 Jul 2018 11:42:20 +0000 Subject: Connectionists: Faculty position (senior lecturer) in statistical learning / deep learning at ZHAW (Winterthur, Switzerland) Message-ID: <19b959ec5e534e388495ef59a2a4c192@srv-mail-101.zhaw.ch> Dear colleagues, Zurich University of Applied Sciences is looking for a permanent senior lecturer, specializing in deep learning, with a solid background in statistics and able to lecture in German: https://www.zhaw.ch/de/jobs/offene-stellen/stelleninserat/job/detail/ESHU5286.1/ Best regards, Thilo Stadelmann ----------------------------------------------------------------------------------------- ZHAW Zurich University of Applied Sciences InIT Institute for Applied Information Technology http://stdm.github.io From felix.putze at uni-bremen.de Wed Jul 4 08:37:18 2018 From: felix.putze at uni-bremen.de (Felix Putze) Date: Wed, 4 Jul 2018 14:37:18 +0200 Subject: Connectionists: [coll] 2nd CfP to the ICMI 2018 Workshop on Modeling Cognitive Processes from Multimodal Data Message-ID: <9dbd152d-401a-d417-1422-2eac1e5039e4@uni-bremen.de> === ICMI 2018 Workshop on Modeling Cognitive Processes from Multimodal Data === When & Where: October 16th, 2018 @ ACM ICMI in Boulder, Colorado, USA Submission deadline: July 30th Website: https://www.uni-bremen.de/csl/icmi-2018-mcpmd.html ====================================================================== Multimodal signals allow us to gain insights about internal cognitive processes of a person, for example: a) Speech and gesture analysis yields cues about hesitations, knowledgeability, or alertness, b) eye tracking yields information about a person's focus of attention, task, or cognitive state, c) brain activity captured by EEG yields information about a person's cognitive load or information appraisal. Capturing cognitive processes is an important research tool to understand human behavior as well as a crucial part of a user model to an adaptive interactive system such as a robot or a tutoring system. As cognitive processes are often multifaceted, a comprehensive model requires the combination of multiple complementary signals. In this workshop at the ACM International Conference on Multimodal Interfaces (ICMI) conference in Boulder, Colorado, USA, we will discuss the state-of-the-art in monitoring and modeling cognitive processes from multimodal data. We welcome the presentation of evaluation studies, theoretical considerations, data corpora, and novel approaches for modeling and processing of biosignals. Potential topics include but are not limited to: * Multimodal workload and stress estimation * Multimodal attention and memory modeling * Multimodal engagement/frustration/confusion estimation * Eye tracking in the wild * Brain-Computer Interfaces and psychophysiological interfaces * Cognitive modeling * Experiment design for cognitive processes * Cognition-adaptive human-computer interfaces Organizers: * Felix Putze, University of Bremen * Jutta Hild, Fraunhofer IOSB * Enkelejda Kasneci, University of T?bingen * Akane Sano, MIT Media Lab/Cornell University * Erin Solovey, Drexel University * Tanja Schultz, University of Bremen -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at aalto.fi Wed Jul 4 13:02:07 2018 From: samuel.kaski at aalto.fi (Kaski Samuel) Date: Wed, 4 Jul 2018 17:02:07 +0000 Subject: Connectionists: Postdoc and PhD student positions in machine learning, Finnish Center for Artificial Intelligence Message-ID: Postdoc and PhD student positions in machine learning, Finnish Center for Artificial Intelligence Finnish Center for Artificial Intelligence (FCAI; http://fcai.fi) is looking for exceptional doctoral students and postdoctoral researchers to tackle complex and exciting problems in the field of machine learning. Come and join us to create the Real AI that is data-efficient, trustworthy and understandable! FCAI brings together the world-class expertise of Aalto University and the University of Helsinki in AI research, strengthened further with an extensive set of companies and public sector partners, creating an attractive, world-class ICT hub in Helsinki metropolitan area. Our research agenda is spearheaded by 5 research programs with multiple research groups involved in each. We are currently hiring doctoral students and postdoctoral researchers in the following FCAI research programs and the detailed projects listed below. Research programs: 1. Agile probabilistic AI. Keywords: Probabilistic programming; Robust and automated Bayesian machine learning 2. Simulator-based inference: Approximate Bayesian Computation ABC; likelihood-free inference; Generative adversarial networks (GAN); applications in many fields including medicine, materials design, visualization, business, ? 3. Next generation data-efficient deep learning; including deep reinforcement learning 4. Privacy-preserving and secure AI: Privacy-preserving machine learning; differential privacy; adversarial machine learning 5. Interactive AI: Interactive machine learning; probabilistic inference of cognitive models from data; probabilistic programming for behavioral sciences Specific projects: 6. Constraint-Based Optimization and Machine Learning 7. Probabilistic Machine Learning 8. Probabilistic machine learning for personalized medicine 9. Probabilistic modeling and machine learning for bioinformatics 10. Non-parametric probabilistic machine learning 11. Bioinformatics and computational biology 12. Computational HCI 13. Privacy-preserving federated machine learning 14. Probabilistic user modelling in interactive human-in-the-loop machine learning Deadline for doctoral students: August 12, 2018. Postdoc applications received by August 12, 2018 will receive full treatment. More details here: http://www.fcai.fi/fcainews/2018/7/2/postdoc-and-doctoral-student-positions-in-machine-learning From mfasli at essex.ac.uk Wed Jul 4 11:14:32 2018 From: mfasli at essex.ac.uk (Fasli, Maria) Date: Wed, 4 Jul 2018 15:14:32 +0000 Subject: Connectionists: Big Data And Analytics Summer School Message-ID: <01944024-ECB1-409B-95A7-C8283CA00BDA@essex.ac.uk> ESSEX BIG DATA AND ANALYTICS SUMMER SCHOOL INSTITUTE FOR ANALYTICS AND DATA SCIENCE 23 July ? 3 August 2018 | University of Essex, United Kingdom www.iadssummerschool.com The Institute for Analytics and Data Science is running its fourth annual Big Data and Analytics Summer School this Summer 2018. The Big Data and Analytics Summer School is a multidisciplinary research training event and forum for knowledge exchange and networking for graduates, postgraduates, researchers and professionals in the emerging fields of data science, analytics and big data who would like to find out more or be updated on the current trends and developments in this exciting and fast-developing field. Join leading academics, data scientists, and engineers from around the world to explore the latest in this area. With course providers and speakers attending worldwide, immerse yourself and network with influential data science leaders from organisations including Microsoft, BT, Micro Focus, Celtra, and more. Our great value registration package includes a variety of courses, recommended pathways, certification, exclusive attendance to keynote events, access to our unique IADS Speed Dating event, and all-inclusive tickets to our Evening Reception and Formal Dinner. Courses This is the fourth year that the Big Data and Analytics Summer School is running and following the successful events in previous years, the programme covers a range of topics from advanced techniques and methods including artificial intelligence and statistical methods, to applications of big data and data science. We accept applicants from all levels and experience of analytics and data science. Whether you are just exploring the field, or have advanced practice, we have a range of introductory, intermediate, and advanced courses to suit your needs. You can view the full programme on our website here(https://www.iadssummerschool.com/). How to apply Head over to our website (https://www.iadssummerschool.com/) where you can fill out a short application form. Once accepted, we?ll give you a detailed course list, enrolment form, and payment instructions to confirm your place. Spaces in the various courses are allocated on a first come first served basis and are limited, so early registration is advised to avoid disappointment and take advantage of the early registration discount. Registration closes on Thursday 19 July 2018 at 5PM GMT. Questions? If you have any queries, contact our IADS Executive Officer, Shaaba Lotun, who is always happy to help! iadssum at essex.ac.uk Professor Maria Fasli PhD, NTF, FHEA Director, ESRC Business and Local Government Data Research Centre 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 Follow us on Twitter @MariaFasli; @EssexIADS -------------- next part -------------- An HTML attachment was scrubbed... URL: From bucchiarone at fbk.eu Wed Jul 4 13:05:15 2018 From: bucchiarone at fbk.eu (Antonio Bucchiarone) Date: Wed, 4 Jul 2018 19:05:15 +0200 Subject: Connectionists: ICSOC 2018 - Demonstration Track Call for contributions Message-ID: ICSOC 2018 - Call For Demonstrations 16th International Conference on Service Oriented Computing November 12-15, Hangzhou, Zhejiang, China. http://icsoc.org/ -------------------- Important Dates Demonstration Submission: July 30 2018 (23:59 UTC-12) Author Notification: August 20, 2018 (23:59 UTC-12) Camera Ready Submission: August 27, 2018 (23:59 UTC-12) -------------------- Information for Authors The goal of the ICSOC Demo track is to provide opportunities for participants from academia and industry to present their latest development in Service Oriented Computing. Interactive systems, design-support tools, platforms and novel applications are particularly welcome. The "Best Demo" Awards, will be given to the demos that the Demonstration Program Committee judges to be the best in quality, execution, and impact among all the accepted demos in the conference. -------------------- Topics of Interest The proposals for demonstration track focus on tools or research prototypes that showcase the innovations in Service-Oriented Applications. Areas of interest for demonstrations include all topics for ICSOC conference. Specific topics of interest include, but not limited to, the following: - Modeling Business Services and Service Value Networks - Flexible Service Composition and Mashups - Adaptive Service-based Systems - Business Process Interaction and Choreographies - Business Intelligence and Analytics for Services - Services on the Cloud (XAAS) - Service Integration and Orchestration - Service Engineering Tools and Methodology - Service Design Methods and Tools - Service Change Management Systems - Service Operations and Management - Service Applications and Implementations - Service-oriented Architecture Showcases - Quality of Service Design and Management - Service Security, Privacy, and Trust - Service Vocabularies and Ontology - Cloud Computing Services and Engineering - Grid and Scientific Computing Services - Pervasive and Mobile Services - Embedded and Real-time Services - Testbeds for Service Technologies and Concepts - Social Networks and Services - Internet of Things Services - Data-aware Services including Artifact-Centric Systems - Services for Big Data - Human-mediated Services - RESTful Web Services - Open API - Service Adaptation and Customization - Service Governance - Formal Methods for Web Services - Validation and Verification of Services - Elastic Service Computing - RFID, sensor data and services related to the Internet of Things - Services related linked open data -------------------- Submission Requirements Submissions accepted for the Demo track will be advertised on the ICSOC 2018 website and be included in the conference proceedings. Each Demo submission must consist of the following elements: - Paper (maximum 5 pages): Pages 1-3 to describe the system to be demonstrated. The authors are encouraged to discuss the application domain, the problem scenario, the technology used, the techniques involved, the innovations of the system, interactive aspects, etc. Page 4 should only list the bibliographic references. Page 5 to provide the organizers with a list of requirements for the demo setting at the conference. Papers must be prepared using the ICSOC format and submitted as PDF files. Submissions not conforming to the guidelines above will be rejected. - Video (maximum 5 minutes): The paper should contain a URL linking to a demonstration video of no more than 5 minutes in duration (QuickTime or YouTube format) showing and explaining the execution of the system. The video should be understandable without sound as much as possible, as they can be played during the conference. Papers should be formatted according to Springer?s LNCS Formatting Guidelines. Submissions must be in English. All papers must be submitted electronically in PDF to the Demo Submission System. All accepted papers will be included in the Conference Proceedings published by Springer Verlag in the Lecture Notes in Computer Science (LNCS) series. Videos of accepted demo papers will be played (with no sound) during breaks and demo sessions to increase visibility. For each accepted paper, at least one author must attend the conference and present the paper. The deadline for identifying and registering this individual author will be at the time when the camera-ready version is submitted. -------------------- Selection Process The submission and selection process for the ICSOC 2018 Demos will be separate from that of the main conference. Each submission will be assessed by the Demos Program Committee. The authors will receive a brief evaluation report with the notification. The evaluation criteria are: - Relevance to the ICSOC conference - Significance and originality - Video content and presentation - Maturity and readiness of the demonstration - Potential for public interaction - Potential impact in the intended application domain - Potential interest to a broader audience -------------------- Demonstration Co-Chairs: Antonio Bucchiarone (Fondazione Bruno Kessler, Trento, Italy) Wei (Emma) Zhang (Macquarie University, Australia) Ying (Jenny) Zou (Queen?s University, Canada) -------------------- Contact Demonstration Co-Chairs: dc at icsoc.org -- -- Le informazioni contenute nella presente comunicazione sono di natura? privata e come tali sono da considerarsi riservate ed indirizzate? esclusivamente ai destinatari indicati e per le finalit? strettamente? legate al relativo contenuto. Se avete ricevuto questo messaggio per? errore, vi preghiamo di eliminarlo e di inviare una comunicazione? all?indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonioj.rodriguezsanchez at gmail.com Wed Jul 4 12:26:38 2018 From: antonioj.rodriguezsanchez at gmail.com (Antonio Rodriguez-Sanchez) Date: Wed, 4 Jul 2018 18:26:38 +0200 Subject: Connectionists: Please post - PhD position, University of Innsbruck (Austria) Message-ID: <4FA83042-66AA-4D34-83D2-580FAE856099@gmail.com> Ph.D. Student Position in Robot Learning or Computer Vision at U. Innsbruck The research group in Intelligent and Interactive Systems , led by Profs. Justus Piater and Antonio Rodr?guez-S?nchez, has an opening for a Ph.D. student, on a university assistant position that includes minor teaching requirements. The research will be loosely aligned with ongoing research projects in the lab: deep learning in computer vision or robotics computational models of biological vision biologically-inspired computer vision robot vision and closed-loop sensorimotor interaction open-ended and intrinsically-motivated robot learning concept discovery by learning robots goal-oriented exploratory learning prediction of action effects robot skill optimization human-robot interaction and collaboration How to Apply Interested applicants should send a letter of motivation, a curriculum vitae including URLs of English-language theses and dissertations, scanned transcripts and diplomas, and contact information of at least two references in PDF to Justus.Piater at uibk.ac.at . Applications will be considered as they are received, until all positions are filled. Starting date is October 2018 or earlier. More details on https://iis.uibk.ac.at/jobs Priv. Doz. Antonio Rodr?guez-S?nchez, PhD Intelligent and Interactive Systems Dept. of Computer Science - Institut f?r Informatik University of Innsbruck - Universit?t Innsbruck Austria ? ?sterreich https://iis.uibk.ac.at/public/antonio/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From kaschube at fias.uni-frankfurt.de Thu Jul 5 08:14:24 2018 From: kaschube at fias.uni-frankfurt.de (Matthias Kaschube) Date: Thu, 5 Jul 2018 14:14:24 +0200 Subject: Connectionists: Tenure-track position in Data Analytics and Modeling in Frankfurt, Germany Message-ID: <2EB45882-0829-4A7A-8464-575FCC01C1EC@fias.uni-frankfurt.de> The Department of Computer Science and Mathematics at the Goethe University Frankfurt invites applications for a tenure-track position in Data Analytics and Modeling at the rank of Assistant Professor. Fields of interest include computational neuroscience, machine learning, data mining, and computer vision. We expect the candidate to possess an excellent scientific track record. Experiences with interdisciplinary and/or international collaborations and actively acquiring third-party support are advantageous. The professorship is embedded in the attractive research landscape in the Frankfurt area within and outside of the university, e.g.: https://www.informatik.uni-frankfurt.de/index.php/en/forschung-en https://fias.institute/en/ http://www.rmn2.de The initial tenure-track appointment as Assistant Professor is for six years. The invitation to apply aims to reach early-stage researchers, who have finished their doctorate within the past four years at the date of application (excluding time spent outside academia, e.g. parental leave, industry). Upon positive evaluation, the incumbent will be promoted to a permanent position at a higher level (W2, corresponding to Associate Professor). The designated salary for the position is initially based on ?W1? of the German university scale or equivalent. Goethe University aims at increasing the number of women in research and teaching and therefore particularly encourages qualified female scientists to apply. Applications of scientists from abroad are explicitly requested. Severely disabled applicants with equal qualification and aptitude will be given preferential consideration. Qualified academics with an excellent, internationally recognized research record are invited to submit their application with curriculum vitae (scientific and professional experience), a list of publications (including conference proceedings), a record of teaching activities (including tutor work), a draft of three pages at most on present and planned research, a record of actively acquired third-party funding (including prizes and fellowships), certificates and documents until 23 July 2018 in electronic form (as a single pdf-file) to the Dean of the Department of Computer Science and Mathematics, e-mail:?bewerbung at fb12.uni-frankfurt.de For further details on the position see http://www.uni-frankfurt.de/45303044/fb12#DAM_eng If you have questions about the position please contact Matthias Kaschube, kaschube at fias.uni-frankfurt.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From david.halliday at york.ac.uk Thu Jul 5 09:52:52 2018 From: david.halliday at york.ac.uk (David Halliday) Date: Thu, 5 Jul 2018 14:52:52 +0100 Subject: Connectionists: =?utf-8?q?=E2=80=9CSelf-repairing_Hardware_Paradi?= =?utf-8?q?gms_based_on_Astrocyte-neuron_Models=E2=80=9D_workshop_Y?= =?utf-8?q?ork=2C_UK=2C_3-5th_September_2018?= Message-ID: ?Self-repairing Hardware Paradigms based on Astrocyte-neuron Models? is an informal workshop which will be held in the historic city of York from the 3 rd to the 5th of September 2018. The workshop aims to highlight and discuss emerging trends and future directions in the fields of bio-inspired fault tolerant systems, particularly self-repairing spiking neural networks, with applications to autonomous robotic systems (and beyond). The workshop will feature invited position papers from world-leading researchers and industrialists. The workshop website, which includes information on submission and an up-to-date list of invited speakers can be found at https://www.york.ac.uk/spanner-workshop We are currently soliciting abstracts from members of the community who are interested in presenting at this workshop. Abstracts should be no longer than three page of A4 in standard IEEE conference format, and should focus upon the potential for future developments within the field of bio-inspired fault tolerant systems. We welcome contributions that span topics from biological modelling through to hardware and applications. Topics include (but are not restricted to): - Astrocyte-neuron interactions and modelling - Spiking neural networks ? models, algorithms and hardware implementations - Training, learning and optimisation in spiking neural networks - Biological models for fault tolerant systems - Implementation of bio-inspired and fault tolerant systems on FPGA - Hardware optimisations for bio-inspired systems - Spiking neural network and bio-inspired controllers for autonomous robotics - Autonomous swarm robotic systems - Fault tolerance in robotic systems - Innovative design techniques for bio-inspired and fault tolerant systems The deadline for submissions is Tuesday 31st July 2018. Please address any questions and submissions to spanner-workshop at york.ac.uk Attending the Workshop We welcome attendees from all areas of the bio-inspired and robotics communities. Thanks to funding from the EPSRC, registration is free. We have accommodation for a limited number of places, priority will be given to authors of accepted contributions. We also have a number of student bursaries available, which will provide free accommodation and contribute towards the travel costs of registered PhD students. If you would like to attend, please see the website at https://www.york.ac.uk/spanner-workshop -------------- next part -------------- An HTML attachment was scrubbed... URL: From vvouloutsi at ibecbarcelona.eu Thu Jul 5 12:45:02 2018 From: vvouloutsi at ibecbarcelona.eu (Vasiliki Vouloutsi) Date: Thu, 5 Jul 2018 18:45:02 +0200 Subject: Connectionists: [meetings] Call for participation: Barcelona Cognition, Brain and Technology Summer School (BCBT2018) Message-ID: Dear colleagues, Please find below information regarding the Barcelona Cognition, Brain and Technology summerschool. ------------------------------------------ CALL FOR PARTICIPATION ------------------------------------------ Join us for the annual*"Barcelona Cognition, Brain and Technology summer school -BCBT2018*" to be held 3-14September2018in Barcelona, Spain. The summer school has been part of a series of events organized by the European?coordination action Convergent Science Network of Biomimetics and Neurotechnology (_http://csnetwork.eu/ _). For the 2018?edition of the BCBT?summer school, we are counting on thesupport of the Human Brain Project (*HBP*,**humanbrainproject.eu/en),the Institute of Bioengineeringof Catalonia (*IBEC*,ibecbarcelona.eu ) and the*UPC Campus**Bes?s*(eebe.upc.edu/ca/lescola ). This is the 11th edition ofBCBT, which has run with great success in?previous years thanks to an excellent line-up of outstanding speakersincluding Nobel Laureate winner Edvard Moser and luminaries in the fields of neurosciences, psychology, biology, robotics and AI, such as M. Arbib, S. Grilner, G. Rizzolatti, among many. TheBCBTlectures are available onlineat theConvergentScienceNetwork_lectures youtube channel with theBCBTpodcast interviewswith many of theBCBTspeakers.http://csnetwork.eu/talks/podcast BCBTcaters to students and researchers involved in projects that are in the ambit of ?BIO-ICT convergence?, "Brain Inspired ICT", ?Cognitive systems-robotics?, ?Cognitive and neural systems?, ?Foundations of social cognition?. TheBCBTschool promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems. BCBTwill offer up to 30 student slots for the practical workshops, while as many researchers can register to attend the presentations and discussion sessions as they are interested. The atmosphere of theBCBTsummer school is informal with the goal to stimulate in-depth discussion. There are 2 or 3 presentations in the?morning, with the afternoons reserved for tutorials and projects for student participantsand senior?scientists with road-mapping workshops and further discussion. For the2018edition, we plan a*1^st week*of?the school addressing*System level understanding of the brain and its emulation in advanced technology.*The*2^nd week*will include presentations aimed at?the investigation of*Learning and Memory, Brain Function and Behavior**.*Friday14 is reserved for the presentation of the student projects to which everybody is invited. *Application deadline: 20 July2018* BCBTis organized by: Tony Prescott, Sheffield University - UK, Paul Verschure. ICREA and IBEC Barcelona, ES . - Anna Mura, IBEC Barcelona, ES. In collaboration with HBP Barcelona Cognition, Brain and Technology Summer School (BCBT2018) Institute of Bioengineering of Catalonia, Barcelona, UPC, Spain. 3-14 September 2018 specs.ibecbarcelona.eu/bcbt2018 -- Vicky Vouloutsi, PhD Postdoc Researcher at the laboratory for Synthetic Perceptive, Emotive and Cognitive Systems (SPECS ) mail: vvouloutsi at ibecbarcelona.eu LinkedIn researchgate -------------- next part -------------- An HTML attachment was scrubbed... URL: From shouyiw at uta.edu Thu Jul 5 22:35:34 2018 From: shouyiw at uta.edu (Wang, Shouyi) Date: Fri, 6 Jul 2018 02:35:34 +0000 Subject: Connectionists: CFP for 2018 International Conference on Brain Informatics Message-ID: CFP for The 11th International Conference on Brain Informatics http://uta.engineering/conferences/bi-2018 The BI Conference The International Conference on Brain Informatics series (BI) started in 2006 and has established itself as the world?s premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The BI conference has been very successful in the past decade with active participation from world-leading researchers and industry practitioners. The BI?18 provides a premier international forum to bring together researchers and practitioners from diverse fields to present original research results, exchange and disseminate innovative and practical development experiences on brain informatics research, brain-inspired technologies and brain mental health. Topics and Areas The BI'18 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: ? Track 1: Cognitive and Computational Foundations of Brain Science ? Track 2: Human Information Processing Systems ? Track 3: Brain Big Data Analytics, Curation, and Management ? Track 4: Informatics Paradigms for Brain and Mental Health Research ? Track 5: Brain-Machine Intelligence and Brain-Inspired Computing Publications ? Paper Submission: Full papers should be limited to a maximum of 10 pages including figures and references in Springer LNCS Proceedings format; high-quality paper submissions with up to 6 pages are also welcome and will be accepted as short papers based on originality, the significance of contribution, technical merit, and presentation quality. ? Research Abstract: Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. ? Journal Opportunities: High-quality BI conference papers will be nominated for a fast-track review and publication at the Journal of Brain Informatics, an international, peer-reviewed, interdisciplinary Open Access journal published by Springer. No open access article-processing fee will be charged for BI conference paper authors. ? Special Issues & Books: Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series, or a special issue at the Brain Informatics Journal. Important Dates ? July 26, 2018: Papers submission deadline (Extended) ? August 30, 2018: Notification of paper acceptance ? August 1, 2018: Abstract Submission deadline ? August 30, 2018: Notification of abstract acceptance ? December 7, 2018: Workshops & Special Sessions ? December 8-9, 2018: Main conference -------------- next part -------------- An HTML attachment was scrubbed... URL: From shouyiw at uta.edu Thu Jul 5 23:12:27 2018 From: shouyiw at uta.edu (Wang, Shouyi) Date: Fri, 6 Jul 2018 03:12:27 +0000 Subject: Connectionists: Immediate Fill Two PhD Positions in Data Science/AI for 2018 Fall UT Arlington, USA Message-ID: Immediate fill of two Ph.D. positions for Fall 2018 at the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS) at the University of Texas at Arlington. Graduate students with strong quantitative background and programming skills are encouraged to apply. The research directions include Data Science, Machine Learning, Artificial Intelligence & Deep Learning with applications to Neuroscience, Brain Informatics, Medical Informatics, as well as Intelligent Robotics/Human-Machine Systems. If you are interested, please send your CV to Dr. Shouyi Wang at shouyiw at uta.edu. We will evaluate your CV and give feedback quickly. Accepted Ph.D. students will work with Dr. Wang and will be provided with full financial support for the entire PhD study (4 years). Visiting Students/Scholars Positions are also available in Data Science/Machine Learning/AI. Lab Information: The COSMOS Center is conducting world-leading research in Advanced Data Analytics, Machine Learning Research, Complex System Optimization & Modeling, Healthcare and Biomedical Informatics, and AI-driven Technologies. The lab has very strong connections to AI industry. The renowned research collaborators include Apple, Foxconn International, IBM, Facebook/Oculus, Samsung/Harman AI Group, and NVIDIA. The COSMOS Center PhD graduates are highly popular and highly paid in the US and World job market. Recent Ph.D. graduates ofCOSMOS Center obtained jobs at American Airlines, United Airlines, Google, UPS, CSX, AT&T, Alibaba/Seattle, Bank of America, BNSF, General Motors, etc. Our Ph.D. graduates also have immense opportunities to pursue academic careers. Some recent Ph.D. students obtained faculty/teaching or postdoc positions at top schools, including Washington University in St. Louis (Business School), Washington University (Seattle), University of Southern California, and Harvard University (School of Medicine). The Current Research Projects & Topics include: * Machine Learning Research for Large-Scale Big Data Analytics * Interpretable Machine Learning Models for Biomedical Data Mining & Knowledge Discovery * Brain Informatics and Computational Neuroscience Research * Brain-Computer Interfaces and Brain-Inspired AI Technologies * Deep Learning Techniques and Applications in Healthcare and Brain Big Data * Deep Reinforcement Learning and Interactive Intelligent Robotics Systems * Precision Medicine and Personalized Healthcare Systems School Information: With more than 50,000 enrolled students, UTA is one of the largest public universities in the nation. According to 2018 U.S. News and World Report, UTA Engineering School is ranked #73 among 200 national universities. The Industrial, Manufacturing, & Systems Engineering (IMSE) Department is ranked #44 for Graduate Programs. With great resources and Texas State support, the IMSE department is one of the fastest growing programs in the US. Currently, the IMSE Department at UTA has more than 50 PhD students and more than 400 MS students. DFW/Arlington Area: Located at the US 4th largest metropolitan areas (Dallas/ Fort Worth Area), the COSMOS Center at UT Arlington is very strong in both world-leading research activities and strong industry support and collaborations. The Chronicle of Higher Education ranked The University of Texas at Arlington 7th fastest-growing public research universities. The DFW Airport is a world hub in the US and has direct flights to Beijing, Shanghai, Hong Kong, and most major cities worldwide. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PhD Position in DS_ML_AI at UTA Fall18_Immediate Fill.pdf Type: application/pdf Size: 144448 bytes Desc: PhD Position in DS_ML_AI at UTA Fall18_Immediate Fill.pdf URL: From amir.aly at em.ci.ritsumei.ac.jp Fri Jul 6 12:44:22 2018 From: amir.aly at em.ci.ritsumei.ac.jp (Amir Aly) Date: Sat, 7 Jul 2018 01:44:22 +0900 Subject: Connectionists: CFP- ACM-THRI Special Issue on Representation Learning for Human and Robot Cognition (Extended Deadline) Message-ID: *ACM Transactions on Human-Robot Interaction (T-HRI) * CALL FOR PAPERS *(Extended Deadline)* **Apologies for cross posting ** We are happy to call for papers for the journal special issue: *"Representation Learning for Human and Robot Cognition"* *Webpage: **https://thri.acm.org/CFP-RLHRC.cfm * *I. Aim and Scope *Intelligent robots are rapidly moving to the center of human environment; they collaborate with human users in different applications that require high-level cognitive functions so as to allow them to understand and learn from human behavior within different Human-Robot Interaction (HRI) contexts. To this end, a stubborn challenge that attracts much attention in artificial intelligence is representation learning, which refers to learning representations of data so as to efficiently extract relevant features for probabilistic, nonprobabilistic, or connectionist classifiers. This active area of research spans different fields and applications including speech recognition, object recognition, emotion recognition, natural language processing, language emergence and development, in addition to mirroring different human cognitive processes through appropriate computational modeling. Learning constitutes a basic operation in the human cognitive system and developmental process, where perceptual information enhances the ability of the sensory system to respond to external stimuli through interaction with the environment. This learning process depends on the optimality of features (representations of data), which allows humans to make sense of everything they feel, hear, touch, and see in the environment. Using intelligent robots could open the door to shed light on the underlying mechanisms of representation learning and its associated cognitive processes so as to take a closer step towards making robots able to better collaborate with human users in space. This special issue aims to shed light on cutting edge lines of interdisciplinary research in artificial intelligence, cognitive science, neuroscience, cognitive robotics, and human-robot interaction, focusing on representation learning with the objective of creating natural and intelligent interaction between humans and robots. Recent advances and future research lines in representation learning will be discussed in detail in this journal special issue. *II. Potential Topics* Topics relevant to this special issue include, but are not limited to: - Language learning, embodiment, and social intelligence - Human symbol system and symbol emergence in robotics - Computational modeling for high-level human cognitive functions - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Language and action development - Learning, reasoning, and adaptation in collaborative human-robot tasks - Affordance learning - Cross-situational learning - Learning by demonstration and imitation - Language and grammar induction in robots *III. Submission* ACM Transactions on Human-Robot Interaction is a peer-reviewed, interdisciplinary, open-access journal using an online submission and manuscript tracking system. To submit your paper, please: - Go to https://mc.manuscriptcentral.com/thri and login or follow the "Create an account" link to register. - After logging in, click the "Author" tab. - Follow the instructions to "Start New Submission". - Choose the submission category ?*SI: Representation Learning for Human and Robot Cognition*?. *IV. Timline* - Deadline for paper submission: *August 1*, 2018 - First notification for authors: September 15, 2018 - Deadline for revised papers submission: November 15, 2018 - Final notification for authors: January 15, 2019 - Deadline for submission of camera-ready manuscripts: March 1, 2019 - Expected publication date: May 2019 *V. Guest editors* Takato Horii, The University of Electro-Communications, Japan ( takato at uec.ac.jp). Dr. Amir Aly, Ritsumeikan University, Japan (amir.aly at em.ci.ritsumei.ac.jp). Dr. Yukie Nagai, National Institute of Information and Communications Technology (NICT), Japan (yukie at nict.go.jp). Prof. Takayuki Nagai, The University of Electro-Communications, Japan ( nagai at ee.uet.at.jp). --------------------- *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 J.Verhoef at donders.ru.nl Fri Jul 6 06:19:33 2018 From: J.Verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Fri, 6 Jul 2018 10:19:33 +0000 Subject: Connectionists: Three Positions for Dutch Research Consortium 'Language in Interaction' (1.0 FTE) Message-ID: <11E9E0B371DBAE4EB859A9CC30606A0479A5CA1B@exprd01.hosting.ru.nl> Three Positions for Dutch Research Consortium 'Language in Interaction' (1.0 FTE) Dutch Research Consortium 'Language in Interaction' Vacancy number: 30.06.18 Application deadline: 16 September 2018 [Logo NWO] [Logo Language in Interaction] Responsibilities We are looking for highly motivated candidates to enrich a unique consortium of researchers aiming to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and variability of the human language faculty from genes to behaviour. Currently, our consortium advertises one postdoctoral position and two PhD positions. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Each position has its own requirements and profile. Click here for more information on the positions. Work environment The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, sponsored by a large grant from the Netherlands Organisation for Scientific Research (NWO), brings together a large number of the excellent research groups in the Netherlands in one research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication, including methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realises both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions in our field. Our five Big Questions are: BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling? BQ2: What are the characteristics and consequences of internal brain organisation for language? BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? More information on our Big Questions: www.languageininteraction.nl/Bigquestions.html Successful candidates will be appointed at one of the consortium's home institutions, depending on the position applied for. All successful candidates will become members of our Big Question teams. The research is being conducted at the participating institutions in an international setting. English is the lingua franca. What we expect from you Each position has its own requirements and profile. More information on: www.languageininteraction.nl/jobs/bqfifth.html General requirements for all positions are: * a degree in the field indicated; * strong motivation; * excellent proficiency in written and spoken English. What we have to offer * employment: 1.0 FTE; * you will be appointed at one of the consortium's home institutions, depending on the position applied for; * terms of employment depend on the position applied for; * the institutes involved have regulations in place that enable their staff to create a good work life balance. Other Information Both institutes involved are equal opportunity employers, committed to building a culturally diverse intellectual community, and as such encourage applications from women and minorities. Would you like to know more? Further information on: the Language in Interaction Consortium Further information on: the different positions For more information about this vacancy, please contact: additional information can be obtained from the contacts for the different positions. Are you interested? You should upload your application (attn. of Prof. dr. P. Hagoort) exclusively using the button 'Apply' below. Your application should include (and be limited to) the following attachment(s): * a cover letter; please state at the top the reference number(s) of the position(s) you apply for; * your curriculum vitae, including a list of publications and the names of at least two persons who can provide references. Please apply before 16 September 2018, 23:59 CET. Applicants are welcome to apply for more than one position. [Apply] No commercial propositions please. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 2461 bytes Desc: image001.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 40202 bytes Desc: image002.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.jpg Type: image/jpeg Size: 3660 bytes Desc: image003.jpg URL: From george at cs.ucy.ac.cy Fri Jul 6 05:55:30 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Fri, 6 Jul 2018 12:55:30 +0300 Subject: Connectionists: ENTER 2019 eTourism Conference: Third Call for Papers Message-ID: <0B8845F2-4D38-4F72-883C-8011F7853750@cs.ucy.ac.cy> ENTER 2019: The 26th Annual eTourism Conference "eTourism: Towards a Sustainable Digital Society" Hilton Cyprus, Nicosia, Cyprus, 30 January - 1 February, 2019 https://www.enter2019.org *** Third Call for Research Papers *** (Proceedings published by Springer - Journal special issue in JITT, Springer) Every year, hundreds of tourism academics, industry representatives, government officials, students and entrepreneurs come together to share, discuss and challenge latest developments in information technology in the fields of travel, tourism and hospitality. With the theme "eTourism: Towards a Sustainable Digital Society" the ENTER 2019 conference will focus on exploring the ways in which technology and tourism together can make our society more sustainable. We call for latest research and case studies on emergent and cutting-edge information and communication technology concepts, applications, and business models to be shared in the conference. Organized by the International Federation for Information Technology and Travel & Tourism (IFITT), the ENTER 2019 conference provides a unique venue for various tourism stakeholders to understand the application of information and communication technologies to travel and tourism, with a special focus on how eTourism can contribute to the sustainability of the society. The ENTER 2019 research track is divided into three major topics that all contribute to our capabilities in building a sustainable digital society: Tourism Business and Technology, Governance, Sustainability and Education, and Computer Science and Information Systems. Issues to be covered at the conference include, but are not limited, to the following areas in the travel, tourism and hospitality context: Tourism Business and Technology ? ICT and Tourism Experience ? Augmented and Virtual Reality ? Platform Economy ? Website Design and Evaluation ? Digital Marketing and Social Media Strategies ? Digital Distribution and Social Selling ? Social Networking, Social Media and Social Inspiration ? Gaming and Gamification ? ICT Adoption and Value Creation ? E-strategy and eBusiness Models ? ICT for Innovation and Service Design ? Digital Nomads ? Consumer Behaviour in Digital Space ? Robotics and Automation in Travel and Hospitality Governance, Sustainability and Education ? ICT for Regional Development and Sustainability ? Advanced Distribution Systems and Strategies, Dynamic Packaging ? ICT-enabled Partnership and Collaboration ? E-Learning, Life-long Learning and MOOCs ? E-Government and Public Policy in Tourism ? Digital Divide and Socio-economic Development ? Privacy and Internet Security ? Legal, Ethical and Social Aspects of ICT Computer Science and Information Systems ? Big Data and Large-scale Systems ? Artificial Intelligence, Machine Learning and Deep Learning ? Data Mining, Analytics and Measurement ? Text and Concept Mining, Sentiment Analysis ? Recommender Systems and Personalization ? User Modeling and Decision Making ? Human-Computer Interaction ? Emotions and Personality-based Systems ? Social Network Analysis ? Location-based Services and Context-Aware Systems ? Mobile Services and Wearable Technologies ? Semantic Web, Tourism Ontologies and Linked Open Data ? Data Standards and Data Integration ? Travel Information Search and Retrieval ? Internet-of-Things ? Smart Destinations ? Travel Chatbots ? Blockchain and Other Emerging Technologies Welcoming Academics and the Industry The conference brings together the research community and industry, and it is organized in three streams, namely industry track, destinations track, and research track. If you are representing tourism industry or destinations, please see suitable calls for presentations at https://www.enter2019.org . The conference also features six to eight world-class keynote speakers discussing the most pressing topics within eTourism. Location The 26th edition of ENTER will take place in Nicosia, Cyprus. Nicosia is the capital of Cyprus; a status it has enjoyed for 1000 years since the 10th century, though its beginnings date back 5000 years to the Bronze Age. Nicosia is a sophisticated and cosmopolitan city, rich in history and culture that combines its historic past with the amenities of a modern city. Cyprus is an island drenched in sun and mythology, at the crossroads of ancient civilizations. 9,000 years of history gathered on one island. Cyprus packs a remarkable array of sights and attractions, museums and archaeological parks, throbbing beach resorts, pine covered mountains, medieval fortresses and ancient temples. Over the last few years, it has become one of the top touristic European destinations breaking in consecutive years the record of tourist arrivals. It is expected that in 2018, more than 3.6 million tourists will visit Cyprus and plans target a steady intake of 5 million tourists per year. More information about Nicosia and Cyprus as well as what the island and its capital offer can be found on the conference web site. Call for Research Papers We invite research papers across the widest spectrum of Information and Communication Technologies in Travel and Tourism to be presented at the ENTER 2019 conference. All submissions to the research track are rigorously evaluated for novelty, significance, and soundness. Papers should clearly state the background, introduction, purpose, theory, methodology, results, conclusions and managerial/industry/social implications of the study, and be fully referenced with appropriate citations. The authors of full papers and research notes will have the opportunity to present their research orally supported by PowerPoint slides. Full technical details will be provided with the acceptance of the paper. The proceedings of recently held ENTER conferences are listed by ISI's Conference Proceedings Citation Index - Science (CPCI-S). ENTER 2019 proceedings will follow a similar indexing process for ISI and other major indices. A) Full Papers Full papers should be innovative, so to advance the knowledge base of related fields. These papers present major contributions to the field and should be up to 12 pages in length. The conference proceedings https://www.springer.com/la/book/9783319729220 (to be published by Springer International Publishing) will include all accepted full papers. An award for the best full paper will be presented during the conference. B) Research Notes Research notes of up to 5 pages are invited. These papers represent new ideas not developed enough at the scale of a full paper, findings that restate known research, descriptions of prototypes, or research that is limited in scope. All research notes will be published by the e-Review of Tourism Research (eRTR) at http://ertr.tamu.edu/ (Editor of eRTR: Cody Morris Paris, Middlesex University Dubai, United Arab Emirates). C) Organized Sessions Proposals for organizing technical or other research-oriented sessions are invited. Proposals will include details of potential participants, topics, and presenters. Session Chairs are expected to attend ENTER 2019, set the order of presentations, and chair their session/s. Deadline for session chairs to submit their proposals to Research Track Chairs is September 3, 2018 (please submit proposal by e-mail to the research track chairs found at the end of the document). Submission Please refer to the "Author Advice" (http://www.enter2019.org/wp-content/uploads/2018/06/enter2019authoradvice_2.docx ) document as a style guide for standards to follow in the preparation of manuscripts. Please also see Springer guidelines for conference proceedings: https://www.springer.com/gb/authors-editors/conference-proceedings/conference-proceedings-guidelines , especially for Latex submissions. Papers must be uploaded to the online reviewing platform: Easy Chair for ENTER2019 (https://easychair.org/conferences/?conf=enter2019 ). All papers will be double-blind peer-reviewed by experienced researchers who are members of the scientific review committee. Final acceptance will depend on whether the author(s) can adequately address review comments to the satisfaction of the reviewers. Authors must submit their revised manuscripts by the deadline (October 22, 2018) and must register for the conference by November 12, 2018 in order to have their papers included in the Conference Proceedings or eRTR. Time Schedule ? Submission closes: September 3, 2018 ? Notification of acceptance/rejection/revision: October 8, 2018 ? Deadline to submit revised version: October 22, 2018 ? Final acceptance: October 29, 2018 ? End of Early Bird registration: November 2, 2018 ? Registration deadline to be published later: November 12, 2018 ? Conference: January 30 - February 1, 2018 Conference organizers reserve the right to modify the paper submission schedule. Submission Guideline and Presentation Template Please download the "Author Advice" document as a style guide for Word here: http://www.enter2019.org/wp-content/uploads/2018/06/enter2019authoradvice_2.docx and for Latex here: ftp://ftp.springernature.com/cs-proceeding/svproc/templates/ProcSci_TeX.zip . A presentation template for your presentation during ENTER2019 Conference will be sent to the authors after acceptance. Fast Track Journal of Information Technology and Tourism (JITT) Best papers' authors will be invited to submit an extended version of their article to Journal of Information Technology and Tourism (Springer). These articles will be reviewed under a special fast track in order to assure a timely publication. JITT website: http://bit.ly/ITTJournal . Research Track Chairs ? Juho Pesonen, University of Eastern Finland (juho.pesonen[at]uef.fi) ? Julia Neidhardt, TU Wien, Austria (julia.neidhardt[at]ec.tuwien.ac.at) -------------- next part -------------- An HTML attachment was scrubbed... URL: From felix.putze at uni-bremen.de Fri Jul 6 17:04:25 2018 From: felix.putze at uni-bremen.de (Felix Putze) Date: Fri, 6 Jul 2018 23:04:25 +0200 Subject: Connectionists: Frontiers Research Topic "Brain-Computer Interfaces and Augmented/Virtual Reality" Message-ID: In recent years, Augmented and Virtual Reality (AR/VR) has matured technically and also has become a widely available tool to create a new range of applications and experiences. AR/VR technology allows to create scenarios which are much more stimulating and expressive than standard desktop applications, covering a wide variety of areas, namely entertainment, education, art, and health, among others. On the one hand, the fusion of Brain-Computer Interfaces (BCI) with AR/VR can provide additional communication channels, thus increasing the bandwidth of the human-AR/VR interaction. On the other hand, this combination can enhance existing BCI paradigms through immersive, multisensory experimental paradigms. In this Frontiers Research Topic, we are looking for: (1) studies that investigate active or passive BCIs to improve the usability or functionality of AR/VR applications, (2) studies which investigate realistic, immersive, and/or multisensory scenarios in AR/VR which make use of a BCI, (3) methodological and technical advancements related to the combination of AR/VR and BCI, and (4) applications for rehabilitation, therapy, art, entertainment, education, training, or other areas that result from the combination of BCI and AR/VR technology. More information: https://www.frontiersin.org/research-topics/8454/brain-computer-interfaces-and-augmentedvirtual-reality Editors: Felix Putze, University of Bremen Anatole L?cuyer, Institut National de Recherche en Informatique et en Automatique (INRIA) Dean Krusienski, Old Dominion University Sergi Berm?dez i Badia, University of Madeira Christian Herff, University of Bremen Athanasios (Thanos) Vourvopoulos, University of Southern California Timothy Mullen, Intheon Important dates: 31 October 2018?? Abstract submission (non-mandatory, but recommended) 31 January 2019??? Manuscript submission From ioana at us.ibm.com Fri Jul 6 11:15:13 2018 From: ioana at us.ibm.com (Ioana Baldini) Date: Fri, 6 Jul 2018 15:15:13 +0000 Subject: Connectionists: 2018 AAAI Fall Symposium Series - submissions now open Message-ID: An HTML attachment was scrubbed... URL: From axel.soto at cs.uns.edu.ar Fri Jul 6 17:10:28 2018 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Fri, 06 Jul 2018 18:10:28 -0300 Subject: Connectionists: ACM Intelligent User Interfaces - IUI 2019: Call for Papers Message-ID: *** ACM IUI 2019: Call for Papers *** Los Angeles, CA, USA March 17-20, 2019 http://iui.acm.org/2019/ ACM IUI 2019 is the 24rd annual meeting of the intelligent interfaces community and serves as a premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) community meets the Artificial Intelligence (AI) community, with contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. Our focus is to improve the interaction between humans and machines, by leveraging both HCI approaches and state-of-the art AI techniques from machine learning, natural language processing, data mining, knowledge representation and reasoning. ACM IUI welcomes contribution from all relevant arenas: academia, industry, government, and non-profit organizations. Along with 25 other topics in AI & HCI, this year we especially encourage submissions on explainable intelligent user interfaces for IUI 2019. ** Why you should submit to ACM IUI ** At ACM IUI, we focus on the interaction between machine intelligence and human intelligence. While other conferences focus on one side or the other, we address the complex interaction between the two. We welcome research that explores how to make the interaction between computers and people smarter, which may leverage solutions from data mining, knowledge representation, novel interaction paradigms, and emerging technologies. We strongly encourage submissions that simultaneously discuss research from both HCI and AI. We also welcome works that focus more on one side or the other. The conference brings together people from academia, industry, government and non-profit organizations and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. It is large enough to be diverse and lively, but small enough to allow for extensive interaction among attendees and easy attendance to the events that the conference offers, ranging from oral paper presentations, poster sessions, workshops, panels and doctoral consortium for graduate students. IUI topics of interest include, but are not limited to: - Affective and aesthetic interfaces - Big data and analytics - Collaborative interfaces - Education and learning-related technologies - Evaluations of intelligent user interfaces - Explainable intelligent user interfaces - Explainable artificial intelligence - Interactive visual analytics and interpretation for deep learning - Health and intelligent health technologies - Information retrieval and search - Intelligent assistants for complex tasks - Intelligent wearable and mobile interfaces - Intelligent ubiquitous user interfaces - Intelligent visualization tools - Interactive machine learning - Knowledge-based approaches to user interface design and generation - Modeling and prediction of user behavior - Multi-modal interfaces (speech, gestures, eye gaze, face, physiological information etc.) - Natural language and speech processing - Persuasive and assistive technologies in IUI - Planning and plan recognition for IUI - Proactive and agent-based user interaction - Recommender systems - Smart environments and tangible computing - Social media analysis - User Modelling for Intelligent Interfaces - User-Adaptive interaction and personalization ** Dates ** Oct 1, 2018: Abstract deadline (compulsory) Oct 8, 2018: Papers deadline Dec 7, 2018: Notification Dec 21, 2018: Camera ready due Mar 17, 2019: Conference starts ** Submission - Full and Short Papers ** We invite original paper submissions that describe novel user interfaces, applications, interactive and intelligent technologies, empirical studies, or design techniques. We do not require evaluations with users, but we do expect papers to include an appropriate evaluation for their stated contributions. Accepted papers will appear in the ACM Digital Library and citation indices. A selected set of accepted top quality full papers will be invited to submit their extended versions for publication in an ACM Transactions on Interactive Intelligent Systems (TiiS, http://tiis.acm.org) special issue titled "Highlights of IUI 2019". ** Submission Guidelines ** - Full paper (anonymized 10 pages, references do not count toward the page limit) should make substantial, novel, and relevant contribution to the field. - Short paper (anonymized 4 pages, references do not count toward the page limit) is a much more focused and succinct contribution to the field. Short papers are not expected to include a discussion of related work that is as broad and complete as that of Full papers. - Anonymization: ACM IUI uses a double-blind review process. All submissions must be appropriately anonymized according to the following guidelines: -- Author's names and affiliations are not visible anywhere in the paper. -- Acknowledgements should be anonymized or removed during the review process. -- Self-citations should be included where necessary, but must use the third person. For example, "... as shown in our previous user study [2] ... " is not allowed, whereas "... as shown in Smith et al. [2] " is acceptable (because in this case the citation [2] will NOT be perceived as self-citation). - Failure to follow these guidelines may result in submissions being rejected without review. - Authors should also be aware of the SIGCHI Policy for Submission and Review at SIGCHI Conferences, see: https://sigchi.org/about/sigchi-policies/conference-policies/submission-and-review/ - Submissions should follow the standard SigCHI format. Use either the Microsoft Word template (https://github.com/sigchi/Document-Formats/blob/master/Word/SIGCHIProceedingsFormat.docx) or the LaTeX template ( https://github.com/sigchi/Document-Formats/tree/master/LaTeX). Accepted full papers will be invited for oral presentation. Accepted short papers will be invited either as oral or poster presentation. ** AUTHORS TAKE NOTE ** The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) ** Chairs - program-iui2019 at acm.org ** Oliver Brdiczka, Adobe, USA Ga?lle Calvary, Grenoble Institute of Technology, France Polo Chau, Georgia Tech, USA -- Dr. Axel J. Soto Researcher National Scientific and Technical Research Council (CONICET) Instituto de Ciencias e Ingenier?a de la Computaci?n (ICIC-UNS) http://personalpages.manchester.ac.uk/staff/Axel.Soto/index.html ---- Oficina A8 San Andr?s 800 - Campus Altos del Palihue Departamento de Ciencias e Ingenier?a de la Computaci?n (DCIC-UNS) (8000) - Bah?a Blanca Argentina From michael.madden at nuigalway.ie Sat Jul 7 07:30:51 2018 From: michael.madden at nuigalway.ie (Madden, Michael) Date: Sat, 7 Jul 2018 11:30:51 +0000 Subject: Connectionists: Recruiting three permanent academics in computer science areas including machine learning, AI, data analytics Message-ID: Dear colleagues, I would appreciate it if you would bring these positions to the attention of anybody who may be interested in them. The National University of Ireland Galway, which is ranked in the top 1% of universities in the world, is seeking to recruit three excellent people for new roles as we expand and grow our Computer Science and Data Analytics capabilities: * Two new permanent lecturers in Computer Science (roughly equivalent to tenured assistant/associate professorships in North America) * An Established Professor of Data Analytics, associated with the Insight Centre for Data Analytics at NUI Galway I will be at ICML and IJCAI next week - if you will be there, please send me a message if you would like to have a discussion in person about these posts. We have a deep commitment to equality and diversity, including achieving equality of opportunity for all staff, irrespective of their gender. The deadline for applications is 18 July 2018. More information here: http://www.it.nuigalway.ie/engineering-informatics/information-technology/people/vacancies/ About the Lecturer in Computer Science Posts: The successful people will engage in research, teaching, student project supervision, and programme administration across a complimentary portfolio of undergraduate and postgraduate programmes in Computer Science. We are particularly interested in candidates whose teaching and research specialisms complement those of the Discipline of Information Technology, which we are currently developing into a new School of Computer Science. Domains include but are not limited to: artificial intelligence; machine learning; cloud computing; complex information visualisation; data analytics; computer forensics and cybersecurity; trust and privacy; complex and adaptive systems; embedded systems; digital media and games; and software engineering & quality. About the Established Professor of Data Analytics Post: The new professor will be expected to provide support and direction in NUI Galway's Insight Centre and Data Science Institute and will lead a team of post-doctoral and postgraduate researchers. S/he will act as the principal scientific investigator on a number of key Insight projects and will provide support and research supervision to the members of his/her research group. More generally, the new professor will be expected to be a leader in the development of data science at the University, and make an important contribution to further advancing the research and teaching agenda of the College and University. The new professor will also be expected to further develop collaborative links between Insight and the College, and more generally across the University, including with mathematics, humanities, business and social sciences. Best regards, Michael. -- Michael Madden Professor of Computer Science: www.it.nuigalway.ie Head of Machine Learning & Data Mining Research Group: http://datamining.it.nuigalway.ie/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Sat Jul 7 05:28:32 2018 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Sat, 7 Jul 2018 11:28:32 +0200 Subject: Connectionists: 2nd Call for Papers: Neural-Symbolic Learning and Reasoning (NeSy) 2018 // late breaking papers by August 1, 2018 Message-ID: == Neural-Symbolic Learning and Reasoning (NeSy) 2018 @ HLAI 2018 == Executive Summary: - What: 13th Intl. Workshop on Neural-Symbolic Learning and Reasoning - When: August 23/24, 2018 - Where: Prague, CZ - Website: http://www.neural-symbolic.org/NeSy18/ - Collocated with: Human-Level AI 2018 (https://www.hlai-conf.org/) == LATE BREAKING PAPER SUBMISSION == The submission system for late breaking papers has come online at EasyChair: https://easychair.org/conferences/?conf=nesy18. Submissions are reviewed on a rolling basis until the final submission deadline. == Keynote Speakers == - Hava Siegelmann, DARPA & University of Massachusetts Amherst. - Paul Smolensky, Johns Hopkins University & Microsoft Research - Luciano Serafini, Fondazione Bruno Kessler. - Thomas Lukasiewicz, University of Oxford - Simo Dragicevic, CEO, BetBuddy Ltd. == The Event == Artificial Intelligence researchers continue to face huge challenges in their quest to develop truly intelligent systems. The recent developments in the field of neural-symbolic integration bring an opportunity to integrate well-founded symbolic artificial intelligence with robust neural computing machinery to help tackle some of these challenges. The Workshop on Neural-Symbolic Learning and Reasoning is intended to create an atmosphere of exchange of ideas, providing a forum for the presentation and discussion of the key topics related to neural-symbolic integration. Topics of interest include but are not limited to: - The representation of symbolic knowledge by connectionist systems; - Neural Learning theory; - Integration of logic and probabilities, e.g., in neural networks, but also more generally; - Structured learning and relational learning in neural networks; - Logical reasoning carried out by neural networks; - Integrated neural-symbolic approaches; - Extraction of symbolic knowledge from trained neural networks; - Integrated neural-symbolic reasoning; - Neural-symbolic cognitive models; - Biologically-inspired neural-symbolic integration; - Applications in robotics, simulation, fraud prevention, natural language processing, semantic web, software engineering, fault diagnosis, bioinformatics, visual intelligence, etc. == Presentation == Accepted full and late breaking papers will be presented during the workshop. The workshop will include extra time for discussion of the presentations allowing the group to have a better understanding of the issues, challenges, and ideas being presented. == Publication == Accepted full papers will be published in a post-workshop volume of the IfCoLog Journal of Applied Logic (JAL). For the inclusion of accepted late breaking papers, a second in-depth review will be required following the workshop. == Submission Format == Researchers and practitioners are invited to submit original papers that have not been submitted for review or published elsewhere: Authors of contributed papers are encouraged to use the LaTex article style, a 12pt font, and to submit a paper with no more than 12 pages plus references. Please submit your article on EasyChair: https://easychair. org/conferences/?conf=nesy18. == Important Dates == Deadline for full paper submission (CLOSED): June 18, 2018 Notification of acceptance/rejection (full papers): July 5, 2018 Deadline for late breaking paper submission (OPEN): August 1, 2018 Notification of acceptance/rejection (late breaking papers): on continuous basis, latest by August 8, 2018 Workshop dates: August 23-24, 2018 == Additional Information == General questions concerning NeSy'19 should be addressed to Artur d'Avila Garcez (A.Garcez at city.ac.uk) and Tarek R. Besold (Tarek-R.Besold at city.ac.uk ). -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Sat Jul 7 18:03:34 2018 From: doya at oist.jp (Kenji Doya) Date: Sun, 8 Jul 2018 07:03:34 +0900 Subject: Connectionists: Faulty positions at Okinawa Institute of Science and Technology Message-ID: <14E0A628-3F6D-470E-BF54-C3D98A8A656D@oist.jp> Open Faculty Positions in Computer Science at OIST Okinawa Institute of Science and Technology (OIST, https://www.oist.jp/ ) is building a new focus in Computer Science as part of its planned expansion and invites applications for its new faculty positions. Targeted areas for the current search include Data Science, Machine Learning, and Next-generation Computing. We aim to recruit scientists who create original computing frameworks based on novel mathematical insights and/or emerging new hardware, including quantum devices. Excellent scholarship and creativity will be the main criteria. We are particularly interested in scholars who complement and extend existing strengths at OIST and have the potential to interact broadly with the interdisciplinary OIST community. Appointments will be Tenure-Track or Tenured. Starting date is flexible. Faculty positions at OIST are associated with generous internal funding including several postdoc positions. OIST provides excellent computing infrastructures, including clusters of CPU and GPU nodes. Research and teaching are conducted in English. Please find information about application at: https://groups.oist.jp/facultypositions Application Deadline: August 31, 2018 (EDT) A search committee member, Kenji Doya, will be at WCCI and IJCAI in the coming weeks. If you are interested in hearing more about OIST and the positions, please contact doya at oist.jp . ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From Donald.Adjeroh at mail.wvu.edu Sat Jul 7 19:56:35 2018 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sat, 7 Jul 2018 23:56:35 +0000 Subject: Connectionists: SBP-BRiMS 2018: Final Call for Participation In-Reply-To: References: , <7F764823-1B48-42D3-AE2E-520611D0232D@jhuapl.edu>, , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies. ------------------------------------------------------------------------------------------------------------------------------- SBP-BRiMS 2018 2018 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 10-13, 2018, Lehman Auditorium, George Washington University, Washington DC, USA http://sbp-brims.org/2018/ Registration is still open for the 2018 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), George Washington University, Washington DC, USA, July 10 ? July 13, 2018. You can register at the website: http://sbp-brims.org/2018/registration/ 2018 International Conference on Social Computing ... sbp-brims.org 2018 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation Please visit the http://sbp-brims.org/2018/ website for more information about the conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: From nguyensmai at gmail.com Sat Jul 7 22:27:20 2018 From: nguyensmai at gmail.com (Nguyen, Sao Mai) Date: Sun, 8 Jul 2018 11:57:20 +0930 Subject: Connectionists: CfP : Workshop on Continual Unsupervised Sensorimotor Learning, IEEE ICDL 2018 Message-ID: Call for contributions IEEE ICDL-Epirob 2018 workshop on Continual Unsupervised Sensorimotor Learning 17th September 2018, Tokyo, Japan Website : http://conferences.au.dk/icdl-epirob-2018-workshop Participants are invited to submit short papers (max 4 pages) following the standard IEEE conference template. Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Authors will be invited to submit extended versions of their papers for a special issue at IEEE TCDS. ================================================================== Scope As the algorithms for learning single tasks in restricted environments are improving, new challenges have gained relevance. They include multi-task learning, multimodal sensorimotor learning in open worlds and lifelong adaptation to injury, growth and ageing. In this workshop we will discuss the developmental processes involved in the emergence of representations of action and perception in humans and artificial agents in continual learning. These processes include action-perception cycle, active perception, continual sensory-motor learning, environmental-driven scaffolding, and intrinsic motivation. The discussion will be strongly motivated by behavioural and neural data. We hope to provide a discussion friendly environment to connect with research with similar interest regardless of their area of expertise which could include robotics, computer science, psychology, neuroscience, etc. We would also like to devise a roadmap or strategies to develop mathematical and computational models to improve robot performance and/or to attempt to unveil the underlying mechanisms that lead to continual adaptation to changing environment or embodiment and continual learning in open-ended environments. The primary list of topics covers the following (but not limited to): - Emergence of representations via continual interaction - Continual sensory-motor learning - Action-perception cycle - Active perception - Environmental-driven scaffolding - Intrinsic motivation - Neural substrates, neural circuits and neural plasticity - Human and animal behaviour experiments and models - Reinforcement learning and deep reinforcement learning for life-long learning - Multisensory robot learning - Multimodal sensorimotor learning - Affordance learning - Prediction learning Invited Speakers - Jochen Triesch, Frankfurt Institute of Advanced Studies, Germany - Emre Ugur, Bo?azi?i University, Turkey (to be confirmed) - Yukie Nagai, Center for Information and Neural Networks, Japan (to be confirmed) - David Ha, Google Brain (to be confirmed) Call for Papers: Prospective participants in the workshop are required to submit a contribution as a short paper (max 4 pages) Submissions must be in PDF following the standard IEEE conference style . Send your PDF manuscript indicating [ICDL-EPIROB 2018] in the subject to: erhan.oztop at ozyegin.edu.tr Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Contributors to the workshop will be encouraged to submit extended versions of the manuscripts to a special issue at IEEE Transactions on Cognitive and Developmental Systems (TCDS). Submissions will be peer reviewed consistent with the journal practices. Important Dates: Paper submission deadline: 5th August 2018 Notification of acceptance: 20th August 2018 Camera-ready version: 9th September 2018 Half-day workshop: 17th September 2018 Organizers: - Nicol?s Navarro-Guerrero, Aarhus University, Aarhus, Denmark - Sao Mai Nguyen, IMT Atlantique, France - Erhan ?ztop, ?zye?in University, Turkey - Junpei Zhong, National Institute of Advanced Industrial Science and Technology (AIST), Japan Nguyen Sao Mai nguyensmai at gmail.com Researcher in Cognitive Developmental Robotics http://nguyensmai.free.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From weickert at mia.uni-saarland.de Mon Jul 9 04:03:12 2018 From: weickert at mia.uni-saarland.de (Joachim Weickert) Date: Mon, 9 Jul 2018 10:03:12 +0200 (CEST) Subject: Connectionists: CfP: Mathematical Foundations of Deep Learning in Imaging Science (JMIV Special Issue) Message-ID: Call for Papers Special Issue of the Journal of Mathematical Imaging and Vision (JMIV) ********************************************************************* ** ** ** MATHEMATICAL FOUNDATIONS OF DEEP LEARNING IN IMAGING SCIENCE ** ** ** ********************************************************************* Guest Editors: Joan Bruna (New York University, USA) Eldad Haber (University of British Columbia, Vancouver, Canada) Gitta Kutyniok (TU Berlin, Germany) Thomas Pock (Graz University of Technology, Austria) Rene Vidal (Johns Hopkins University, Baltimore, USA) TOPICS OF INTEREST Deep learning methods have become an omnipresent and highly successful part of recent approaches in imaging and vision. However, in most cases they are used on a purely empirical basis without real understanding of their behavior. From a scientific viewpoint, this is unsatisfying. Many mathematically inclined researchers have a strong desire to understand the theoretical reasons for the success of these approaches and to find relations between deep learning and mathematically well- established techniques in imaging science. The goal of this special issue is to showcase their latest research results and to promote future research in this direction. Topics of interest include, but are not limited to: * gaining mathematical introspection into the behavior of deep learning methods, e.g. through - theoretical insights into their expressive power, quality, stability, and efficiency - analysis of their ability to handle the curse of dimensionality - investigation of their generalization properties - theoretical bounds on their necessary complexity - theories for architectural design - characterization of their loss surface - analysis of optimization algorithms - mathematical theories for generative adversarial networks * establishing connections between deep learning and successful mathematical concepts in image analysis such as - radial basis functions, splines, and harmonic analysis - sparsity, compressed sensing, and dictionary learning - subspace methods - inverse problems, regularization theory, and operator learning - variational methods, optimization, and optimal control - ordinary and partial differential equations - information theory, information geometry, and the physics of information - statistical learning theory Gaining mathematical insights will be the decisive criterion for inclusion into this special issue. Manuscripts which are primarily experimental are not eligible. DEADLINE AND SUBMISSION INSTRUCTIONS * Deadline for submission: ************************* ** November 30, 2018 ** ************************* The printed special issue will appear in 2019. We aim at fast and efficient reviewing, starting immediately after paper submission. Since accepted manuscripts will become available direcly as online first articles, earlier submission is helpful and encouraged. If an individual manuscript requires substantially more time than the others, it will be published in a regular JMIV issue. * The usual JMIV submission guidelines apply. All submissions will be peer reviewed according to the JMIV standards. Manuscripts that extend conference papers must contain at least 30 % novel material. There is no page limit. * Submissions must be uploaded through the regular login site (Editorial Manager) of JMIV: http://www.editorialmanager.com/jmiv/default.aspx * Please make sure to choose the "Mathematical Foundations of Deep Learning in Imaging Science" Special Issue after logging in to the JMIV editorial manager. This guarantees that your submission will be assigned to the above guest editors. Web site: http://www.mia.uni-saarland.de/JMIV/si-deep-learning.html For questions and more information, please contact Joachim Weickert . From juergen at idsia.ch Mon Jul 9 04:26:10 2018 From: juergen at idsia.ch (Schmidhuber Juergen) Date: Mon, 9 Jul 2018 10:26:10 +0200 Subject: Connectionists: [jobs] PostDocs & PhD Students at the Swiss AI Lab, IDSIA In-Reply-To: <1E94BBCD-3750-4F31-B4E6-E12F0237475F@idsia.ch> References: <9667B353-CDB2-44BF-9CEF-ADB78ACAABA4@idsia.ch> <8503A3E7-AC1B-4C66-A720-6A5CBA5CB14E@idsia.ch> <1E94BBCD-3750-4F31-B4E6-E12F0237475F@idsia.ch> Message-ID: <968A9D4C-9D30-477E-9893-BFC491DB433D@idsia.ch> We intend to interview prospective PhD students and postdocs on July 15-16 at ICML 2018 in Stockholm. Please find application instructions under http://people.idsia.ch/~juergen/erc2017.html J?rgen Schmidhuber Scientific Director, Swiss AI Lab, IDSIA Professor of AI, USI & SUPSI, Switzerland Chief Scientist, NNAISENSE http://people.idsia.ch/~juergen/whatsnew.html From sukbin.lim at nyu.edu Mon Jul 9 06:49:17 2018 From: sukbin.lim at nyu.edu (Sukbin Lim) Date: Mon, 9 Jul 2018 19:49:17 +0900 Subject: Connectionists: Postdoc positions in computational neuroscience at NYU-Shanghai Message-ID: Two postdoctoral positions are available in Sukbin Lim's lab at NYU-Shanghai as part of NYU?s global network and the NYU-ECNU Institute of Brain and Cognitive Science (https://shanghai.nyu.edu/research/brain). The overarching goal of the lab is to understand network interactions and dynamics for learning and memory. We have thrived to provide a mechanistic understanding of local circuits and interactions among local circuits and to develop tools to reverse-engineer the mechanism. More information on the research can be found at http://shanghai.nyu.edu/research/brain/faculty/Sukbin-Lim. Environment: Institute of Brain and Cognitive Science at NYU-Shanghai is a multidisciplinary and collaborative research environment. Candidates will be encouraged to collaborate with systems and computational neuroscience labs, computer and data science groups at NYU-Shanghai and NYU. The initial appointment is for one year, renewable up to 3 years subject to progress. Globally competitive compensations will be provided. To Apply: Qualified applicants are expected to hold a Ph.D. by the start date of the position in computational and theoretical neuroscience, or related discipline with strong quantitative training in Mathematics, Physics, Computer Sciences, and Engineering. Strong programming skills (e.g., Python, MATLAB or C/C++) and experience in modeling networks/complex systems will be valued. Knowledge of Neuroscience would be a plus. Applications will be reviewed until the position is filled. To be considered, please send a curriculum vitae, short research statement and the names and contact information of two references to *sukbin.lim at nyu.edu *. Also, I can meet with candidates at CNS 2018 meeting in Seattle or Bernstein conference in Berlin. -------------- next part -------------- An HTML attachment was scrubbed... URL: From elias.tragos at insight-centre.org Mon Jul 9 08:05:47 2018 From: elias.tragos at insight-centre.org (Elias Tragos) Date: Mon, 9 Jul 2018 13:05:47 +0100 Subject: Connectionists: Research fellow, postdoc and PhD positions in Recommender Systems, UCD Dublin, Ireland Message-ID: *Research fellow, postdoc and PhD positions in Recommender Systems* We are looking to recruit a number of Research Fellows, postdocs and PhD students to start in September 2018 on a new multi-million-euro, multi-year industry research project, funded by a global technology company. The project will develop next generation recommender systems technologies, drawing on the experience and expertise of a leading recommender systems research group in UCD as part of the Insight Centre for Data Analytics. Research fellows and postdocs are 2-year positions. The successful candidates will have the opportunity to work with a team of world-class experts in Recommender Systems in an ambitious industry-driven research project. The candidates will contribute to the success of the project and to the improvement of the team?s skills and expertise. Applications for Research Fellow and postdocs have to be submitted through https://www.ucd.ie/workatucd/jobs/. More information on the following links: Research Fellow (deadline 20 July 2018) : https://www.insight- centre.org/content/research-fellow-recommender-systems Postdoc (deadline 19 July 2018) : https://www.insight-centre.org /content/postdoc-positions-recommender-systems PhD students (deadline September or until positions are filled): https://www.insight-centre.org/content/phd-positions-recommender-systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From tal.linzen at jhu.edu Mon Jul 9 09:46:07 2018 From: tal.linzen at jhu.edu (Tal Linzen) Date: Mon, 9 Jul 2018 13:46:07 +0000 Subject: Connectionists: Final call for papers and deadline extension: Workshop on analyzing and interpreting neural networks for NLP Message-ID: (Apologies for cross-posting.) EMNLP 2018 Workshop: Analyzing and interpreting neural networks for NLP https://blackboxnlp.github.io/ Call for papers =============== Neural networks have rapidly become a central component in language and speech understanding systems in the last few years. The improvements in accuracy and performance brought by the introduction of neural networks has typically come at the cost of our understanding of the system: what are the representations and computations that the network learns? The goal of this workshop is to bring together people who are attempting to peek inside the neural network black box, taking inspiration from machine learning, psychology, linguistics and neuroscience. The topics of the workshop will include, but are not limited to: - Applying analysis techniques from neuroscience to analyze high-dimensional vector representations (such as Haxby et al., 2001; Kriegeskorte, 2008) in artificial neural networks; - Analyzing the network?s response to strategically chosen inputs in order to infer the linguistic generalizations that the network has acquired (e.g., Linzen et al., 2016); - Examining the performance of the network on simplified or formal languages; - Proposing modifications to neural network architectures that can make them more interpretable (e.g., Palangi et al., 2017); - Scaling up neural network analysis techniques developed in the connectionist literature in the 1990s (Elman, 1991); - Testing whether interpretable information can be decoded from intermediate representations (e.g., Adi et al., 2017; Chrupa?a et al., 2017); - Translating insights on neural network interpretation from the vision domain (e.g., Zeiler & Fergus, 2014) to language. Important dates =============== July 19: Extended submission deadline. August 3: Notification of acceptance. October 31 or November 1: Workshop. Submission types ================ - Archival papers. These are papers reporting on completed, original and unpublished research, with maximum length of 8 pages + references. Papers shorter than this maximum are also welcome. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should report on obtained results rather than intended work. These papers will undergo double-blind peer-review, and should thus be anonymized. - Extended abstracts. These may report on work in progress or may be cross submissions that have already appeared in a non-NLP venue. The extended abstracts are of maximum 2 pages + references. These submissions are non-archival in order to allow submission to another venue. The selection will not be based on a double-blind review and thus submissions of this type need not be anonymized. Both categories of submissions should use EMNLP 2018 templates: - Latex: http://emnlp2018.org/downloads/emnlp18-latex.zip - Word: http://emnlp2018.org/downloads/emnlp18-word.zip Papers and abstracts should be submitted via softconf: https://www.softconf.com/emnlp2018/BlackboxNLP/ Workshop organizers =================== Tal Linzen, Johns Hopkins University (tal.linzen at jhu.edu) Afra Alishahi, Tilburg University (a.alishahi at uvt.nl) Grzegorz Chrupa?a, Tilburg University (g.a.chrupala at uvt.nl) -------------- next part -------------- An HTML attachment was scrubbed... URL: From eliricci at fbk.eu Mon Jul 9 10:14:37 2018 From: eliricci at fbk.eu (Elisa Ricci) Date: Mon, 9 Jul 2018 16:14:37 +0200 Subject: Connectionists: Final CFP - ECCV Workshop on Human Behavior Understanding (HBU): Generating Visual Data of Human Behavior Inbox x Message-ID: Workshop on Human Behavior Understanding (HBU) In conjunction with European Conference on Computer Vision (ECCV) 2018 9 September 2018, Munich, Germany Focus Theme: Generating Visual Data of Human Behavior http://xavirema.eu/HBUGEN2018 ****************************** CALL FOR PAPERS The fast and broad progresses in AI has not only enabled great advances in the analysis of human behavior but has also opened new possibilities for generating realistic human-like behavioral data. Notable examples relate to the synthesis of realistic-looking images of people, to the generation of human-sounding speech as well as to the design of robots that are more and more accurate in reading and mimicking human emotions. The workshop will focus on recent advances and novel methodologies for generating data containing human-like behavior. The HBU Workshops, previously organized as satellite to ICPR'10, AMI'11, IROS'12, ACM Multimedia'13, ECCV'14, UBICOMP'15, ACM Multimedia'16, and FG'18 Conferences, have a unique aspect of fostering cross-pollination of different disciplines, bringing together researchers of mobile and ubiquitous computing, computer vision, multimedia, robotics, HCI, artificial intelligence, pattern recognition, interaction design, ambient intelligence, and psychology. The 9th HBU workshop, in addition to covering the main themes of human behavior understanding, specifically deals with generating visual data of human behavior. More precisely we seek for contributions describing new methodologies allowing to generate either still images or videos containing face(s) and/or full body(ies) or modifying attributes of faces (e.g. expression) and/or bodies (e.g. human pose). Contributions based on deep neural architectures are welcome, as well as methods based on parametric models. TOPICS include but are not limited to: GENERATING VISUAL DATA OF HUMAN BEHAVIOR Generation of faces and modification of their attributes (e.g. age, expression) Generation of human bodies for behavior analysis Synthesis of visual data representing individual and collective human activities Deep generative models for image/video generation of human behavior Parametric models for the synthesis of faces/bodies Generation of multi-modal (vision and beyond) human behavioral data Exploration of text-based descriptions linked with visual representation generation Applications (e.g. surveillance, autonomous driving, fashion, robotics) HUMAN BEHAVIOR ANALYSIS SYSTEMS Action and activity recognition Affect analysis Face analysis Gaze, attention and saliency Gestures and haptic interaction Learning and adaptation Social signal processing Voice and speech analysis THEORY AND METHODOLOGY OF HUMAN BEHAVIOR Theoretical frameworks of behavior analysis Data collection, annotation, and benchmarking Interaction design Theoretical frameworks of behavior analysis User studies and human factors Papers must be submitted online through the CMT submission system at: https://cmt3.research.microsoft.com/HBUGEN2018/ and will be double-blind peer reviewed by at least two reviewers. Submissions should conform to the ECCV 2018 proceedings style. We expect two kind of submissions: - Full submissions: 14 pages (ECCV format) NOT including references - Extended abstracts: 6 pages (ECCV format) NOT including references. More info at: http://xavirema.eu/HBUGEN2018/index.html ****************************** IMPORTANT DATES Submission: *July 15th* Review period: July 16th to August 10th Author notification: August 16th Workshop: September 9th Camera ready: September 21st 2018 ****************************** INVITED SPEAKERS Michael Black, Max Planck Institute, DE Stefanos Zafeiriou, Imperial College London, UK ****************************** SPECIAL ISSUE The workshop is followed by an IJCV special issue with the same focus theme, and the workshop contributors will be invited to submit a suitably extended version of their papers to this issue. ****************************** ORGANIZERS: Xavier Alameda-Pineda, Inria, FR. Elisa Ricci, FBK & University of Trento, IT. Albert Ali Salah, Bo?azi?i University, TR & Nagoya University, JP. Nicu Sebe, University of Trento, IT. Shuicheng Yan, National University of Singapore, SG. -- -- Le informazioni contenute nella presente comunicazione sono di natura? privata e come tali sono da considerarsi riservate ed indirizzate? esclusivamente ai destinatari indicati e per le finalit? strettamente? legate al relativo contenuto. Se avete ricevuto questo messaggio per? errore, vi preghiamo di eliminarlo e di inviare una comunicazione? all?indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. -------------- next part -------------- An HTML attachment was scrubbed... URL: From o.scharenborg at let.ru.nl Mon Jul 9 10:05:44 2018 From: o.scharenborg at let.ru.nl (Scharenborg, O.E. (Odette)) Date: Mon, 9 Jul 2018 14:05:44 +0000 Subject: Connectionists: Job opening: 2-year post-doc in automatic speech recognition for low-resource languages In-Reply-To: References: Message-ID: Job opening: 2-year post-doc in ASR for low-resource languages We are looking for a highly motived post-doctoral researcher in the area of automatic speech recognition (ASR) for low-resource languages, as part of the newly started ?Human-inspired automatic speech recognition? lab of Dr. Odette Scharenborg at the Technical University of Delft, The Netherlands. This project concerns building ASR systems for low-resource languages using linguistic knowledge. The project aims to investigate different learning and training strategies (e.g., semi- vs. unsupervised learning, multi-task learning) and architectures of deep neural networks (DNNs) for the task of low-resource ASR. An important focus of the project is on the role of linguistic information and multi-linguality in building ASR systems for low-resource languages. A second important aspect of the project is opening the DNN ?Black box? by investigating the speech representations in the hidden layers of the DNNs using visualization techniques, and subsequently using this information to improve the ASR systems. We are looking for a highly motivated individual with a strong background in: - Deep neural networks - Automatic speech recognition Who preferably has knowledge of one or more of the following topics: - Visualization of DNNs - Different DNN architectures and training techniques - Semi-/unsupervised learning - Speech acoustics Who has/is: - A PhD in Computer Science, Electrical Engineering, Computational Linguistics, Artificial Intelligence or a related field - A strong analytical mind - Excellent verbal and written communicative skills in English - At least 2 journal published journal papers in high-impact journals or conferences as first author - A strong team-worker We offer a 2-year post-doctoral position in the Multimedia Computing Group, Department of Intelligent Systems, Faculty of Electrical Engineering, Mathematics, and Computer Science, Delft University of Technology, the Netherlands. For inquiries, please contact Dr. Odette Scharenborg (o.e.scharenborg at tudelft.nl). Applications should be send to o.e.scharenborg at tudelft.nl before August 13, 2018, and should include: - CV - Motivation letter - List of publications - Names and addresses of three referees. The estimated starting date is October 1, 2018 or as soon as possible after that. Interviews will likely be held in the week of August 20-24, 2018. Dr. Odette Scharenborg Associate Professor and Delft Technology Fellow Multimedia Computing Group, Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology The Netherlands --- Deze e-mail is gecontroleerd op virussen door AVG. http://www.avg.com From nac93 at cornell.edu Mon Jul 9 16:41:39 2018 From: nac93 at cornell.edu (Nicholas Cheney) Date: Mon, 9 Jul 2018 16:41:39 -0400 Subject: Connectionists: Seeking Postdoc and PhD Student for Deep Reinforcement Learning Research Message-ID: Dear Colleagues, Please forward this email to anyone who might be interested. Apologies for any cross-listings. More info available at: www.ncheney.com/join-us.html A PhD student position and also a two-year postdoc with competitive salary are both available in Nick Cheney?s lab in the Computer Science Department at the University of Vermont ? and in close collaboration with the EvolvingAI Lab at the University of Wyoming. The research will be in the area of meta-learning for artificial general intelligence ? applied to a variety of problems, especially those in deep reinforcement learning. Responsibilities include helping to design bio-inspired algorithms that enable agents to learn a variety of new tasks without losing the ability to perform previous ones (i.e. avoiding ?catastrophic forgetting?) and testing these method on simulated and/or physical robots. These positions will be advised by Professor Nick Cheney at the University of Vermont and Professor Jeff Clune at the University of Wyoming/Uber AI Labs. They are available immediately, and applicants will be considered on a rolling basis ? though some flexibility on start date is possible. Experience in deep learning and/or reinforcement learning is desired. But applicants with strong research backgrounds in relevant fields (e.g. statistics, math, computer science), strong programming and communication skills, and a demonstrated desire to learn more about machine learning and neural networks will also be considered. To apply please send application materials to nac93 at cornell.edu and jeffc lune at uwyo.edu. These should include a CV with cover letter, transcripts, GRE scores (if available), contact information (including academic relationship to you) for 3 letters of reference, a representative publication, and any additional materials demonstrating verbal communication skills (e.g. a recorded academic talk, or a recorded summary of your research interests, motivation, and goals ? please link videos rather than attaching them) or programming skills (e.g. link to a Github repository). The Evolving Artificial Intelligence Lab (http://EvolvingAI.org ) focuses on robotics and creating artificial intelligence in neural networks, either via deep learning or evolutionary algorithms. The lab is actively engaged in research. Just in the last three years, we have received an NSF CAREER award, participated in a cover article in Nature, produced the 63rd most talked about scientific paper worldwide in 2015, and our deep learning papers were awarded oral presentations (1-6% acceptance rates) at NIPS, CVPR, ICLR, and an ICML workshop. In that same time, we also produced six papers at GECCO, including a best paper award, and three papers in PLoS Computational Biology ? including a cover article with a Reddit AMA about it that over 42,000 people joined to ask 1000+ questions. Additionally, our work has been covered by almost every major international news outlet. Professor Cheney?s lab at the University of Vermont is a newly established core research group within the Vermont Complex Systems Center ? a postdisciplinary team of faculty and students working on real-world, data-rich, and meaningful complex systems problems of all kinds (VermontComplexSystems.org). The lab focuses on developing bio-inspired design and machine learning methods to study and address important complex adaptive systems in our society ? spanning robotics, digital fabrication, healthcare, and social-environmental problems. The lab is growing quickly and strongly funded by past and current projects from DARPA, NASA, the NSF, USDA, ARO, and industrial partnerships. In addition to research output (13 papers in the last two years), the group is also focused on the public engagement of science ? working with government and industrial stakeholders to help realize real-world impacts of AI research, engaging nearly a millions viewers via scientific communication videos, and winning 7 conference/institutional awards for these efforts. The University of Vermont (UVM), established in 1791, is a comprehensive research university with a current enrollment of 12,000+ undergraduate, graduate, and medical students. The scientific and academic environments in the College of Engineering and Mathematical Sciences, and throughout UVM, are dynamic, highly collaborative, and multi-disciplinary. UVM has state of the art core facilities, including the Vermont Advanced Computing Center, the Advanced Genome Technologies Core, and the UVM Medical Center. We also offer generous benefits packages, including health, dental, disability, and life insurance, personal and medical leave, and tuition remission. The University is located in beautiful Burlington, Vermont, about 90 miles south of Montreal. Burlington is consistently ranked as one of the best small cities in America for quality of living, and features year-round outdoor recreation and cultural events. Greater Burlington has a population of approximately 150,000 and enjoys a panoramic setting on Lake Champlain, bordered by the Adirondack and Green Mountains. The University is an Equal Opportunity/Affirmative Action employer and actively encourages applications from women, veterans, and people from diverse racial, ethnic, and cultural backgrounds. Thank you for your interest in this position, or your help to advertise it! Best regards, Nick Cheney Research Assistant Professor, Computer Science University of Vermont nac93 at cornell.edu ncheney.com Jeff Clune Associate Professor, Computer Science Director, Evolving Artificial Intelligence Lab University of Wyoming jeffclune at uwyo.edu jeffclune.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.jaeger at jacobs-university.de Mon Jul 9 16:36:16 2018 From: h.jaeger at jacobs-university.de (Herbert Jaeger) Date: Mon, 9 Jul 2018 22:36:16 +0200 Subject: Connectionists: CfP: Cognitive Computing - Merging Concepts with Hardware (Herbert Jaeger) Message-ID: COGNITIVE COMPUTING: MERGING CONCEPTS WITH HARDWARE December 18-20, 2018, Hannover, Germany http://www.cognitive-comp.org/ ** An interdisciplinary networking event / scientific conference ** We would like to draw your attention to a slightly unorthodox scientific community event that could be realized with the generous support from the Volkswagen Foundation, Germany?s largest private organization for the advancement of scientific research. The aim of this event is to work towards a general, productive, and rigorous theory of ?computing? in non-digital, nonlinear physical substrates. Biological brains and unconventional computing machines would become understandable as different instantiations of the same underlying principles. Three scientific communities, namely ? cognitive and computational neurosciences, ? theory of computation, and ? nonlinear materials, devices and systems have since long been exploring diverse facets of such principles of non-digital computing. But differences in terminology, discipline-specific objectives and a scattered spectrum of formal methods have handicapped cross-fertilization. Everything in this conference is geared toward stimulating linkages between these fields: ? single-track with rather few, rather long oral presentations, ? long break and poster session times for person-to-person talking, ? keynote and plenary speakers of interdisciplinary renown, ? a limited (200) number of participants, ? a splendid setting in the Castle of Herrenhausen, a heritage of the Kings of Hannover, with adjoining hectares of classical French gardening. Invited speakers: ? Kwabena Boahen, Stanford University ? Joanna J. Bryson, Univ. of Bath and Princeton University ? Chris Eliasmith, University of Waterloo ? Edward A. Lee, UC Berkeley ? Demetri Psaltis, EPFL Lausanne ? Pieter Roelfsema, Vrije Universiteit Amsterdam & Netherlands Institute for Neuroscience ? Susan Stepney, University of York ? Ipke Wachsmuth, University of Bielefeld ? David Wolpert, Santa Fe Institute We solicit the submission of 2-page abstracts, with themes oriented toward our five topical sessions: ? applications of unconventional computing systems, ? theoretical concepts and mathematical foundations, ? neuromorphic hardware, ? novel physical substrates, ? guides from neuroscience for computing technologies, encouraging survey / introductory / didactic contributions (besides the standard discipline-specific result reports which are also possible). Detailed information can be found on http://www.cognitive-comp.org/ and in the Call for Abstracts that is posted there. Timelines: ? Abstract submission: July 31 ? Notification of acceptance: September 30 ? Final abstract for online publication: October 31 Registration fees: ? Students (incl. PhD students): 150 Euro ? Others (academic): 300 Euro ? Industry: 900 Euro Contributors of accepted oral presentations will be exempted from fees and will receive travel refunding. The organizers: ? Daniel Brunner (photonics, neuromorphic architectures; University of Besan?on) ? Herbert Jaeger (machine learning, nonlinear dynamics; Jacobs University Bremen) ? Stuart Parkin (nano systems, quantum electronic materials; Max-Planck-Institute for Microstructure Physics, Halle) ? Gordon Pipa (neuroinformatics and cognitive computing; University of Osnabr?ck) ------------------------------------------------------------------ Dr. Herbert Jaeger Professor for Computational Science Jacobs University Bremen gGmbH Campus Ring 28759 Bremen, Germany Phone (+49) 421 200 3215 email h.jaeger at jacobs-university.de http://minds.jacobs-university.de (offline until end of July: server infrastructure needs to be rebuilt after hacker disaster) ------------------------------------------------------------------ From ted.carnevale at yale.edu Mon Jul 9 23:20:10 2018 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Mon, 9 Jul 2018 23:20:10 -0400 Subject: Connectionists: NEURON course at SFN 2018 meeting Message-ID: Using NEURON to Model Cells and Networks Friday, Nov. 2 from 9 AM to 5 PM at a downtown San Diego location. This course provides a practical introduction to building and using models of neurons and networks with NEURON. Covered topics include basic concepts, workflow for building and using models, speeding up simulations with parallel hardware from multicore personal computers to massively parallel supercomputers, using Python with NEURON, and modeling reaction-diffusion with the RxD class. The registration deadline for this course is Friday Oct. 12, but you should sign up early because space is limited. See https://neuron.yale.edu/neuron/static/courses/sd2018/sd2018.html for more information and a link to the registration form. --Ted From tat at tchumatchenko.de Tue Jul 10 01:19:37 2018 From: tat at tchumatchenko.de (Tatjana Tchumatchenko) Date: Tue, 10 Jul 2018 07:19:37 +0200 Subject: Connectionists: Open Master and PhD positions at the "Theory of Neural Dynamics" at the MPI for Brain Research Message-ID: <849a295e-3edc-b9bc-2245-de82ec846c67@tchumatchenko.de> Dear friends and colleagues, I would appreciate if you could spread the word among your students. My group "Theory of Neural Dynamics" at the MPI for Brain Research is looking for Master and PhD Students Master and PhD Students interested in understanding how neuronal networks work, how they respond to stimuli and what role connectivity and single neuron dynamics play for the activity of the brain. Though the focus of my research is on the theory side, my lab has close ties to experimentally oriented labs and Master projects could include both theory and experiments. We are looking for bright and hard-working students with a life-science or quantitative background (physics, math, biology etc). For more information, please contact Dr. Tatjana Tchumatchenko via email tatjana.tchumatchenko at brain.mpg.de https://brain.mpg.de/research/theory-of-neural-dynamics-group.html www.tchumatchenko.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Tue Jul 10 07:53:14 2018 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Tue, 10 Jul 2018 07:53:14 -0400 Subject: Connectionists: Workshop on High Performance Computing Resources for Neuroscience Message-ID: <83b2653a-6a67-640d-857f-a27590b9b930@yale.edu> High Performance Computing Resources for Parallel Simulations and Data Analysis: NSG and HPAC Saturday, Nov. 3 from 9 AM to noon at downtown San Diego location. SUMMARY This workshop is intended for neuroscientists who need to use high performance computing (HPC) resources for computationally intensive tasks such as large modeling projects or analysis of neuroimaging data. It will examine resources offered by the Neuroscience Gateway Portal (NSG https://www.nsgportal.org/) and The Human Brain Project's High Performance Analytics and Computing Platform (HPAC https://hbp-hpc-platform.fz-juelich.de/). The workshop will combine hands-on instruction on how to use NSG with didactic presentations by NSG and HPAC developers and discussions with experienced users of these resources. The registration deadline for this workshop is Friday Oct. 12, but you should sign up early because space is limited. See https://neuron.yale.edu/neuron/static/courses/nsg2018/nsg2018.html for more information and a link to the registration form. OVERVIEW OF NSG AND HPAC NSG eliminates most administrative and technical barriers, providing free CPU time to users, and easy access to widely used software that currently includes BluePyOpt, Brian, CARLsim, DynaSim, EEGLAB, Freesurfer, GENESIS, Human Neocortical Neuroserver (HNN), Large Scale Neural Modeling Simulator (LSNM), MATLAB, MOOSE, NEST, NetPyNE, NEURON, Octave, PyNN, Python, R, TensorFlow, and the Virtual Personalized Multimodal Connectome Pipeline. NSG's web-based interface simplifies the tasks of uploading models or data, specifying job parameters, monitoring job status, and storing and retrieving output data. HPAC provides extensive HPC support for the HBP community. This includes developing and providing the hardware and software infrastructure required for large scale simulations, data management and analysis, visualization, and managing the complex workflows involved in performing these tasks. The workshop will combine hands-on instruction on how to use NSG with didactic presentations by NSG and HPAC developers and discussions with experienced users of these resources. From triesch at fias.uni-frankfurt.de Tue Jul 10 10:04:47 2018 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Tue, 10 Jul 2018 16:04:47 +0200 Subject: Connectionists: Deadline extended to July 20: Symposium and summer school on the Logistics of Neuronal Function, Frankfurt, Germany Message-ID: <9A9BEB8C-340B-42EE-983E-41F416316830@fias.uni-frankfurt.de> We invite applications from PhD students and post-docs to participate in a two-week summer course on the Logistics of Neuronal Function in Frankfurt am Main, Germany, from August 28 to September 7. Neurons face a variety of logistics challenges. They need to organize the production, transport, storage, and recycling of various molecules such as neurotransmitters, mRNA, and proteins to fill their extensive dendritic and axonal arbors. For example, most proteins have turnover rates of several days, which implies that neurons must organize the production and transport of vast numbers of proteins to maintain their structure and function. Due to their large size compared to other cells of the body, these problems are particularly severe for neurons. It is likely that evolution has driven neurons to find robust and efficient solutions to these challenges. So how do they organize production, transport, delivery, storage, and recycling processes and how are logistic failures related to nervous system disorders? This first workshop and summer school on the logistics of neuronal function bring together leading experimentalists, theoreticians, and method developers to exchange ideas on these fundamental questions. Organizers: Jochen Triesch, Frankfurt Institute for Advanced Studies Erin Schuman, MPI Brain Research, Frankfurt Tatjana Tchumatchenko, MPI Brain Research, Frankfurt Christian Tetzlaff, Georg-August University, Go?ttingen Confirmed Speakers of the Giersch International Symposium (August 28 - September 1): Maarten Altelaar, Utrecht, Netherlands Peter W. Baas, Drexel U., USA Upinder S. Bhalla, TIFR, India Long Cai, Caltech, USA Daniel Choquet, Bordeaux, France Guillaume Drion, Liege, Belgium Seth Grant, University of Edinburgh, UK Kristian Franze, U. of Cambridge, UK Lukas Kapitein, Utrecht, Netherlands Ken Kosik, UC Santa Barbara, USA Timothy O?Leary, Cambridge University, UK William W. Lytton, SUNY Downstate, USA Jeremy Niven, U. of Sussex, UK Marianne Renner, Institut du Fer a Moulin, France Erik De Schutter, OIST, Japan Antoine Triller, E?cole Normale Superie?ure, France Noam Ziv, Technion, Israel Confirmed Giersch Summer School Lecturers (September 3 - 7): Eric Hosy, U Bordeaux, France Timothy O?Leary, Cambridge University, UK William W. Lytton, SUNY Downstate, USA Marianne Renner, Institut du Fer a Moulin, France Christian Tetzlaff, U. Go?ttingen, Germany Jochen Triesch, FIAS, Germany Special Public Talk by: Nobel Laureate Edvard Moser The third "Giersch International Symposium", will take place at the Frankfurt Institute for Advanced Studies. The conference series, funded by STIFTUNG GIERSCH gives young scientists the opportunity to learn from well known, exceptional researchers and to expand their networks. Accommodation and meals are provided free of charge. To apply visit: https://indico.fias.uni-frankfurt.de/event/11/overview and see the instructions there. Required materials include: CV, letter of recommendation from supervisor, poster abstract, and short text specifying the reason for participation. Application Deadline: July 20 Contact: gis2018 at fias.uni-frankfurt.de -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From sutherland at informatik.uni-hamburg.de Tue Jul 10 09:50:35 2018 From: sutherland at informatik.uni-hamburg.de (Alexander Sutherland) Date: Tue, 10 Jul 2018 15:50:35 +0200 Subject: Connectionists: [meetings] Call for Papers: SSR 2018 - International Ph.D. Conference on Safe and Social Robotics Message-ID: Call for Papers ** International Ph.D. Conference on Safe and Social Robotics (SSR 2018) ** Madrid, Spain 29-30 September 2018 ======================================================================== SSR 2018 is organized by Ph.D. students for Ph.D. students and it is co-located with IROS 2018. Why not have a warm-up before the big event! ======================================================================== Ph.D. students are invited to submit to the International Ph.D. Student Conference in Safe and Social Robotics (SSR) which will be held in conjunction with IROS 2018 in Madrid. It is co-organized by two Horizon 2020 projects SECURE and SOCRATES . The SSR 2018 provides a great opportunity for Ph.D. students to discuss their research interests, the newest state of the art, and to network with many Ph.D. students and experts in the field working on the design, ?emotion, intention, vision and language processing, security, safety, and ethics of social robotics. We have selected this venue to create an opportunity of combining exciting research with the attractions of Madrid and its citizens, its cultural heritage in the unique art district of Prado, Reina Sofia, and Thyssen-Bornemisza museums, and its fabulous gastronomy. We are looking forward to seeing you at SSR 2018. *SCOPE* The aim of the student conference is to provide a forum to disseminate and foster discussion on recent and significant research within social robotics focused towards quality and safety in Human-Robot Interaction (HRI). *IMPORTANT DATES* ??????? July 15th: Submission deadline ??????? August 21st: Notification of acceptance ??????? August 31st: Camera-ready paper ??????? September 29-30: Student Conference Website: http://www.socrates-project.eu/sesoro-2018/ *OVERVIEW* Social robots have the potential to interact safely and efficiently with people, as they add value to health-care, education, entertainment, caregiving, and other aspects of society. As research advances towards the integration of robots into our society, there is an increased need to pay adequate attention to the quality of the interaction between robots, humans and the environment as well as the safety of this interaction. Design of social robots should take into account user safety, avoiding any negative impact on their well-being and improving their quality of life. This conference is intended to share knowledge about technological opportunities and challenges regarding different aspects of social robot companions and foster discussions within the scientific community about ?issues concerning safety. The student conference is jointly organized by two Horizon-2020 European Union projects which are training programs with a special focus on HRI. The SECURE project aims to incorporate intelligent safety awareness into ?dynamic and unpredictable human or domestic environments and into interactions with robots. The SOCRATES project has the goal of developing the field of social robotics with an application focus on robotics for an aging population. The aim of the conference is to bring researchers together to present ongoing research and to discuss the state of the art and future directions. *TOPICS* Topics of interest include (but are not limited to): ????????? Effective expression recognition ????????? Human-robot interaction design principles ????????? User perception and acceptance of social robots ????????? Ethics in social robotics ????????? Intelligence in social robots ????????? Intention recognition ????????? Social robot adaptivity and learning ????????? Safety design ????????? Assistive robotics ????????? Empathy in robots ????????? Trust in robots ????????? Motion planning and environment modeling design ????????? Human-robot dialogue design *SUBMISSION* Submissions will be judged based on relevance to the conference topics, technical quality, and novelty. Authors of accepted papers are expected to give a short spotlight talk and to present a poster at the conference. A number of full papers will be selected for longer 15 minutes oral presentation. We also welcome preliminary results, works ?in progress and position papers. Submission link will appear ??? http://www.socrates-project.eu/sesoro-2018/sesoro-2018/submission/ *FORMAT* Authors are required to submit a 2-page extended abstract or 2-4 page short paper as PDF in the standard IEEE conference format (download a template in LaTeX or MS-Word, for using these templates to create your paper in PDF format) *ORGANIZATION* The SSR2018 is jointly organized by two Horizon 2020 EU projects SECURE and SOCRATES - focusing on HRI. http://www.socrates-project.eu/sesoro-2018/sesoro-2018/organization/ Hope to see you in Madrid! --------------------------------------- Alexander Sutherland Research Associate SOCRATES Project Knowledge Technology Group (WTM) Department of Informatics, University of Hamburg -- Alexander Sutherland Research Associate SOCRATES Project Knowledge Technology Group (WTM) Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Tel.: +49 40 428 83 2531 Fax: +49 40 428 83 2515 sutherland at informatik.uni-hamburg.de http://www.informatik.uni-hamburg.de/~sutherland/ http://www.informatik.uni-hamburg.de/WTM/ From weixu at cse.ohio-state.edu Tue Jul 10 13:17:52 2018 From: weixu at cse.ohio-state.edu (Xu, Wei) Date: Tue, 10 Jul 2018 17:17:52 +0000 Subject: Connectionists: Last CFP: EMNLP 2018 Workshop on Noisy User-generated Text Message-ID: 4th Workshop on Noisy User-generated Text at EMNLP 2018 http://noisy-text.github.io/2018/ Call for Papers The WNUT workshop focuses on Natural Language Processing applied to noisy user-generated text, such as that found in social media, online reviews, crowdsourced data, web forums, clinical records and language learner essays. We seek submissions of regular papers on original and unpublished work (same page limit EMNLP main conference; long or short papers). 1-page abstracts on work-in-progress or work published elsewhere are also welcome and will *not* be included in the conference proceedings. All accepted submissions will be presented as posters. Additionally, selected submissions will be presented orally. Important Dates: - Submission Deadline: Friday, July 20 - Acceptance Notification: Friday, August 17 - Camera-Ready: Friday, August 31 - Workshop: October 31 or November 1, EMNLP (Brussels, Belgium) Best paper award sponsor: Microsoft Research Topics of interest include but are not limited to: - NLP Preprocessing of Noisy Text - Part of speech tagging - Named entity tagging, including a wide range of categories, e.g. product names - Chunking of user-generated text - Parsing - Text Normalization and Error Correction - Normalizing noisy text for downstream tasks and for human readability - Error detection and correction - Multilingual NLP in noisy text - Sentiment analysis - Crowdsourcing of text data - User prediction, e.g. geolocation, gender, age, etc - Stylistics, e.g. formality, politeness, etc - Colloquial language, e.g. code-switching, idiom detection - Bilingual translation of the noisy text - Paraphrase identification and semantic similarity of short text or noisy text - Information extraction from noisy text - Domain adaptation to user-generated text - Geolocation prediction - Global and regional trend detection and event extraction - Detecting rumors, contradictory information, sarcasm and humor on social media - Extracting user demographics, profiles, and major life events - Temporal aspects of user-generated content (resolving time expressions, concept drift, diachronic analyses, etc...) All submissions should conform to EMNLP 2018 style guidelines (http://emnlp2018.org/calls/papers/). Long and short paper submissions must be anonymized. Abstract submissions should include author information (and where the work was published in a footnote on the front page, if applicable). Please submit your papers at the SoftConf link (https://www.softconf.com/emnlp2018/w-nut/user/). Double Submission Policy: Papers that have been or will be submitted to other meetings or publications must indicate at submission time. Authors of a paper accepted for presentation must notify the workshop organizers by the camera-ready deadline as to whether the paper will be presented or withdrawn. (Exception: 1-page abstracts can be work-in-progress or work published elsewhere.) Workshop Organizers: - Wei Xu (Ohio State University) - Alan Ritter (Ohio State University) - Tim Baldwin (University of Melbourne) Program Committee: - Hadi Amiri (Harvard University) - Anietie Andy (University of Pennsylvania) - Isabelle Augenstein (University of Copenhagen) - Francesco Barbieri (UPF Barcelona) - Eduardo Blanco (University of North Texas) - Su Lin Blodgett (UMass Amherst) - Cosmin Bejan (Vanderbilt University) - Jackie Chi Kit Cheung (McGill University) - Paul Cook (University of New Brunswick) - Marina Danilevsky (IBM Research) - Leon Derczynski (IT-University of Copenhagen) - Seza Do?ru?z (Tilburg University) - Heba Elfardy (Amazon) - Dan Garrette (Google Research) - Masato Hagiwara (Duolingo) - Hua He (Amazon) - Yulan He (Aston University) - Jing Jiang (Singapore Management University) - Nobuhiro Kaji (Yahoo! Research) - Emre Kiciman (Microsoft Research) - Wuwei Lan (Ohio State University) - Piroska Lendvai (University of G?ttingen) - Jessy Junyi Li (University of Texas Austin) - Maria Liakata (University of Warwick) - Nut Limsopatham (University of Glasgow) - Patrick Littell (Carnegie Mellon University) - Zhiyuan Liu (Tsinghua University) - Nikola Ljube?i? (University of Zagreb) - Wei-Yun Ma (Academia Sinica) - Nitin Madnani (Educational Testing Service) - H?ctor Mart?nez Alonso (INRIA) - Aaron Masino (The Children's Hospital of Philadelphia) - Chandler May (Johns Hopkins University) - Rada Mihalcea (University of Michigan) - Smaranda Muresan (Columbia University) - Preslav Nakov (Qatar Computing Research Institute) - Vincent Ng (University of Texas at Dallas) - Eric Nichols (Honda Research Institute) - Alice Oh (KAIST) - Naoaki Okazaki (Tohoku University) - Michael Paul (University of Colorado Boulder) - Umashanthi Pavalanathan (Georgia Tech) - Ellie Pavlick (Brown University) - Barbara Plank (University of Groningen) - Daniel Preo?iuc-Pietro (Bloomberg) - Roi Reichart (Technion) - Alla Rozovskaya (City University of New York) - Mugizi Rwebangira (Howard University) - Keisuke Sakaguchi (Johns Hopkins University) - Maarten Sap (University of Washington) - Andrew Schwartz (Stony Brook University) - Djam? Seddah (University Paris-Sorbonne) - Satoshi Sekine (New York University) - Hiroyuki Shindo (NAIST) - Thamar Solorio (University of Houston) - Richard Sproat (Google Research) - Ian Stewart (Georgia Tech) - Oren Tsur (Harvard University/Northeastern University) - Rob van der Goot (University of Groningen) - Svitlana Volkova (Pacific Northwest National Laboratory) - Byron Wallace (Northeastern University) - Xiaojun Wan (Peking University) - Diyi Yang (Carnegie Mellon University) - Yi Yang (Bloomberg) - Guido Zarrella (MITRE) -------------- next part -------------- An HTML attachment was scrubbed... URL: From kripa.ghosh at gmail.com Wed Jul 11 02:31:47 2018 From: kripa.ghosh at gmail.com (Kripa Ghosh) Date: Wed, 11 Jul 2018 12:01:47 +0530 Subject: Connectionists: [Submission Deadline Extended to 17th July] CIKM 2018 Workshop on Legal Data Analytics and Mining (LeDAM 2018) Message-ID: [apologies for cross-posting ] CALL FOR PAPERS: Workshop on Legal Data Analytics and Mining (LeDAM 2018) In conjunction with ACM International Conference on Information and Knowledge Management (CIKM) 2018 Turin, Italy | 22nd October 2018 Website : https://sites.google.com/site/legaldam2018/ Legal data mining is the subarea of data mining applied to legal texts, such as legislation, case law, patents, and scholarly works. The broad goals of the LeDAM workshop are: - to promote research in legal data analytics by fostering collaboration between the legal data mining practitioners and the data mining research community at large, - to improve awareness among the legal community about the state of the art models, techniques and algorithms developed by the data mining community that can potentially benefit the problems, and - to identify new research opportunities in data mining that arise from legal applications. We invite academic and industrial/governmental researchers and legal professionals to come together, present and discuss research results, use cases, innovative ideas, challenges, and opportunities that arise from applications of data mining in the legal domain. === Topics of interest === We are interested to receive paper submissions on all aspects of legal data mining. Topics of interest include but are not limited to: 1. Applications of data mining, machine learning and natural language processing techniques for the legal domain, for tasks such as summarization of legal document, precedence retrieval, argument mining, legal text classification, and so on 2. Answering natural language queries (primarily in layman language) with legal information 3. Discovery of electronically stored information for legal applications (eDiscovery) 4. Data mining and Information retrieval from patents, contracts, and other types of legal documents 5. Legal knowledge representation, including legal ontologies, knowledge graphs and common sense knowledge 6. Automated information extraction from legal databases and texts 7. Conceptual and model-based legal information retrieval 8. Applications of neural networks and deep learning techniques on legal data 9. Modelling norms and legal reasoning for multi-agent systems 10. Modelling negotiation and contract formation 11. Online dispute resolution 12. Intelligent support systems for the legal domain 13. Formal and computational models of legal reasoning, including argumentation, evidential reasoning, legal interpretation, and decision making === Paper submissions === All papers must be submitted in PDF in ACM sigconf format ( https://www.acm.org/publications/proceedings-template). All papers must be written in English. We will consider three types of papers: - Full papers, describing completed works relevant to the theme (8-10 pages) - Short papers, describing preliminary ideas or work (4-6 pages) - Position/Vision papers, describing novel and practically important problems (2 pages) Submitted papers will be peer-reviewed, and the accepted papers will be included in the workshop proceedings that will be published online on CEUR ( http://ceur-ws.org/). At least one author of each accepted paper is required to register for the workshop (as per rules of the conference) and present the paper at the workshop. === Important dates === Paper submission deadline: *July 17, 2018* (EXTENDED) Notifications of acceptance: August 15, 2018 Camera ready deadline: August 27, 2018 Workshop: October 22, 2018 All times are 23:59 in Anywhere-on-Earth timezone. *The authors who have already submitted may consider resubmission if necessary.* ===Invited Talks=== Giovanni Sartor, European University Institute, Italy Luigi Di Caro, University of Turin, Italy Adam Zachary Wyner, Swansea University, United Kingdom === Technical Program Committee === Adam Wyner, Swansea University, Swansea, UK Charles K. Nicholas, University of Maryland Baltimore County, USA David Lewis, Dave Lewis, Brainspace (A Cyxtera Business), USA Girish Keshav Palshikar, Tata Consultancy Services, India Jack G. Conrad, Thomson Reuters, USA Jeroen Keppens, King?s College London, UK Karl Branting, MITRE Corporation, USA Katie Atkinson, University of Liverpool, UK Ken Satoh, National Institute of Informatics, Japan Kevin Ashley, University of Pittsburgh, USA Matthias Grabmair, Carnegie Mellon University, USA Maura Grossman, University of Waterloo, Canada Mi-Young Kim, University of Alberta, Canada Mossab Bagdouri, Walmart Labs, USA Paulo Quaresma, Universidade de Evora, Portugal Prasenjit Majumder, DAIICT, India William Webber, William Webber Consulting, Australia === Organizing Committee === Arindam Pal, TCS Research and Innovation, India ( http://www.cse.iitd.ernet.in/~arindamp/) Arnab Bhattacharya, Indian Institute of Technology Kanpur, India ( https://www.cse.iitk.ac.in/users/arnabb/) Indrajit Bhattacharya, TCS Research and Innovation, India ( https://sites.google.com/site/indrajitb/) Kripabandhu Ghosh, Indian Institute of Technology Kanpur, India ( https://www.cse.iitk.ac.in/users/kripa/) Lipika Dey, TCS Research and Innovation, India ( http://sites.tcs.com/blogs/research-and-innovation/author/dr-lipika-dey) Marie-Francine Moens, KU Leuven, Belgium (https://people.cs.kuleuven.be /~sien.moens/) Saptarshi Ghosh, Indian Institute of Technology Kharagpur, India ( http://cse.iitkgp.ac.in/~saptarshi/) For details, see https://sites.google.com/site/legaldam2018/ Kind Regards, *Kripabandhu Ghosh* Co-organizer LeDAM 2018 Workshop CIKM 2018 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dorien.herremans at gmail.com Wed Jul 11 03:22:46 2018 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Wed, 11 Jul 2018 15:22:46 +0800 Subject: Connectionists: Postdoc affective computing for video/music Message-ID: *Dear community, We are excited to announce the following job opening for a new SUTD-MIT Project on emotion recognition in video and audio, start date is as soon as possible. We are seeking a postdoctoral fellow to work on an affective computing research project related to emotion recognition for videos and music. The PIs of the project include Prof. Gemma Roig, Prof. Dorien Herremans, and Dr. Kat Agres. The position is for one year extendable to 2 years. Postdoctoral fellow:MIT-SUTD International Design Center at Singapore University of Technology and DesignKey requirements for the position: - PhD in computer Science, applied mathematics or related fields.- Strong record of publication record in tier 1 conferences and journals- Strong knowledge in machine learning (deep learning, RNN, LSTMs) - Excellent programming skills in python, and extensive experience in tensorflow, pytorch or related libraries- Experience in video processing,- Experience in audio and/or music processing,- Knowledge of high performance distributed computing.Candidates with a hands on, proactive approach and problem-solving skills are strongly encouraged to apply. Application Instructions: Contact Dr. Gemma Roig, gemmar [at] mit [dot] edu. Include CV, 3 selected publications, grades and email address of at least 1 reference. Please include in the email subject: [IDC postdoc].The Singapore University of Technology and Design is a relatively new university, founded in collaboration with MIT, that has a strong interdisciplinary focus on design. SUTD is established to advance knowledge and nurture technically-grounded leaders and innovators to serve societal needs, with a focus on Design, through an integrated multidisciplinary curriculum and multidisciplinary research.The official language at SUTD (and Singapore) is English. When moving to Singapore, you can expect a very high quality of life, futuristic buildings, tropical climate, excellent food and a perfect base for exploring South East Asia.* -- Dorien Herremans, PhD Assistant Professor http://dorienherremans.com Singapore University of Technology and Design Information Technology and Design Pillar Office 1.502-18 -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.schwarzwaelder at fz-juelich.de Wed Jul 11 06:44:06 2018 From: k.schwarzwaelder at fz-juelich.de (Kerstin Schwarzwaelder) Date: Wed, 11 Jul 2018 12:44:06 +0200 Subject: Connectionists: Bernstein Conference 2018 in Berlin - Deadlines Approaching: Call for Abstracts / Early Registration In-Reply-To: References: Message-ID: <3a814f88-64d2-4834-de68-bacfd877fc17@fz-juelich.de> Dear colleagues, Please note the upcoming deadlines concerning the Bernstein Conference 2018: * Abstract submission and Travel Grant application: July 17, 2018 * Early registration: July 19, 2018 Best regards, Kerstin Schwarzw?lder ----------------------------------------------- Call for Abstracts: Bernstein Conference 2018 in Berlin ************************************************************** Satellite Workshops September 25-26, 2018 Main Conference September 26-28, 2018 PhD Symposium September 28-29, 2018 ************************************************************** The Bernstein Conference is the largest annual Computational Neuroscience conference in Europe with more than 500 international participants in recent years. The main conference, taking place from September 26-28, 2018, will be accompanied by satellite workshops taking place from September 25-26, 2018, and a PhD symposium which will be held from September 28-29, 2018. An important part of the main conference will be the two poster sessions. We are now inviting the submission of abstracts from all relevant areas. Authors of most accepted abstracts will get the chance for a poster presentation, a small number of abstracts will be selected for contributed talks during the main conference. Please note the earlier submission deadline for authors applying for a talk. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). DETAILS FOR ABSTRACT SUBMISSION: For abstract submission please visit: www.bernstein-network.de/de/bernstein-conference/2018/abstracts Poster space is limited and early submission is encouraged. Submission of an abstract does not replace conference registration (www.bernstein-network.de/de/bernstein-conference/2018/registration). ABSTRACT SUBMISSION DEADLINES: Abstracts aimed as contributed talks and posters: June 21, 2018 Abstracts aimed as posters only: July 17, 2018 TRAVEL GRANTS: To support the participation of young researchers in the Bernstein Conference, the Bernstein Coordination Site (BCOS) offers 10 Travel Grants, each endowed with 500 ?. Please find further information under www.bernstein-network.de/de/bernstein-conference/2018/apply-for-a-travel-grant Application deadline: July 17, 2018 REGISTRATION: Early registration deadline: July 19, 2018 Please register here: www.bernstein-network.de/en/bernstein-conference/2018/registration NEW THIS YEAR: Postdoc Meeting: September 25, start 7:00 pm Venue: Technische Universit?t Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (in the same building as the Satellite Workshops) This event is an informal get-together for post-docs. It is an opportunity to get to know each other, foster collaborations, exchange experiences and ideas. No preparation required, but if you have an idea or a particular topic you want to discuss with your peers, bring it along. Drinks and snacks will be provided. PhD Social Event: September 25, start 8:00 pm Venue: depends on the number of participants Warm-up for PhD Symposium ACCOMMODATION AND HOTEL RESERVATION: We strongly recommend early room booking! The number of available accommodation is limited! We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Website (www.bernstein-network.de/en/bernstein-conference/2018/hotels). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). VENUE SATELLITE WORKSHOPS: Marchstrasse 23 10587 Berlin (10 min. walk from the Technische Universit?t Berlin (TU Berlin) Main Building) VENUE MAIN CONFERENCE: Technische Universit?t Berlin (TU Berlin) Main Building Strasse des 17. Juni 135 10623 Berlin VENUE PHD SYMPOSIUM: Bernstein Center Berlin Campus Nord Philippstrasse 13 House 6 10115 Berlin For more information on the conference, please visit the website www.bernstein-conference.de We are looking forward to welcoming you in Berlin! Conference Chair: Andreas Herz Conference Host: Henning Sprekeler Program Chair: Gilles Laurent Program Vice Chair: Susanne Schreiber Workshop Chair: Jakob Macke Workshop Vice Chair: Tatjana Tchumatchenko Technical Organization: Bernstein Coordination Site (BCOS): Alexandra Stein, Kerstin Schwarzwaelder -- 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 george at cs.ucy.ac.cy Wed Jul 11 05:48:07 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Wed, 11 Jul 2018 12:48:07 +0300 Subject: Connectionists: The 6th International Conference on Enterprise Systems (ES 2018): Last Call for Papers Message-ID: <95E1AD27-F7FA-47A4-AFD5-56320C9F9B1D@cs.ucy.ac.cy> *** LAST CALL FOR PAPERS *** The 6th International Conference on Enterprise Systems (ES 2018) St. Raphael Resort, Limassol, Cyprus, 1-2 October, 2018 http://www.cyprusconferences.org/es2018 *** Submission Deadline: 31 July, 2018 *** *** Proceedings published by IEEE *** *** Special issue: Journal of Industrial Integration and Management, World Scientific *** WELCOME Welcome to the 6th International Conference on Enterprise Systems. Enterprise Systems (ES), also referred to as Enterprise Information Systems, has become increasingly popular over the last 20 years because it integrates and extends business processes across the boundaries of business functions and corporate walls, as well as country border lines. The International Conference on Enterprise Systems (ES) has been held every year since 2013. The sixth in the series will be held at St. Raphael Resort, Limassol, Cyprus, 1-2 October, 2018. The conference is hosted by the Department of Computer Science, University of Cyprus. This conference series is focusing on both the technical and application aspects of enterprise systems, the complex and cross-disciplinary problems of enterprise integration, and the new technological frontiers such as Industrial Integration, Industrial Information Integration, and Industry 4.0. The objectives of the conference are to provide high quality research and professional interactions for the advancement of science and technology. The main features of the conference include Keynote Speeches, Regular and Special Sessions. It has been highlighted by the IEEE Systems, Man, and Cybernetics Society: http://ieeesmc.org/ . SCOPE We welcome original and survey articles about the latest advances of technology. The final results can be state-of-the-art, requirements, fundamental theories, models, frameworks, algorithms, methodologies, platforms, protocols, prototypes, testbeds, field trials, case studies/stories, field experiences, standardization efforts, regulatory activities, education and training innovations, etc. The application areas include aeronautics and astronautics, agriculture, automotive, building, construction, energy, finance, healthcare, logistics, manufacturing, process industry, power, transportation, etc. TOPICS The topics of interest include but are not limited to: Enterprise Systems for Industry 4.0 ? Business-IT Alignment and IT Agility ? Enterprise Modelling and Integration ? Decision Support Systems ? Enterprise Knowledge Engineering and Knowledge Management ? Enterprise Systems for Business Process Management ? Enterprise Systems for Case Management ? Information integration and interoperability ? Cross-organizational collaboration and virtual enterprise ? Integration of (legacy) enterprise applications and information ? Information Governance ? Enterprise Architecture and Engineering ? Service Oriented Architecture (SOA) Cyber Physical Systems for Industry 4.0 ? Artificial intelligence and autonomous systems ? Smart agents and systems ? Cloud computing techniques for industrial systems ? Cloud robotics ? Cloud-based automation and control systems ? Model based development for CPS ? Semantic technologies for CPS ? Formal methods for industrial and enterprise applications ? Smart logistics for complex services ? Intelligent Transportation Systems ? E-Health Systems ? Smart Grid Systems ? Smart Homes, Buildings, Communities, and Cities Internet of Things for Industry 4.0 ? Internet of Things, Services, and People ? Industrial internet and tactile internet ? Wireless sensor and actuator network ? Automation networks, field buses, and Time Sensitive Networks ? Green communications and computing ? Ultra-reliable and ultra-low latency networks ? Super dense networks ? Automotive networks and Internet-of-Vehicles ? New PHY/MAC design and signal processing techniques ? Next generation networks e.g. 5G for industries ? IP-fication and interoperability of communication technologies Big Data for Industry 4.0 ? Innovative approaches for data collection (e.g., sensor-based wearable devices, location-based mobile devices) ? Data analysis (e.g., new econometrics, machine learning, decision science models) of big data ? New methods to extract business intelligence from structured and unstructured business data (e.g. data in the form of text, video, audio, link structure, etc.) ? New methods for the creation, sharing and reuse of big data ? Tools and technologies for deploying and managing big data ? Cloud-based data storage and exchange ? New approaches to combine multiple methods of research on big data ? New methods introduced from reference disciplines (e.g. statistics, biology, medical science, computer science, physics, etc.) for the business analysis of big data Security and Privacy Protection for Industry 4.0 ? Security in industrial networks ? Smart device information leaks ? Trusted and trustworthy computing and cloud services ? Security in cloud-based enterprise infrastructure ? Cloud and cyber security ? Privacy preservation in data release ? Cryptography, key distribution, and security management ? Asymmetric encryption for low capacity devices ? Privacy and data governance System Engineering and Human Factors for Industry 4.0 ? System-of-systems methodology and practices ? Social networks and social computing ? Service design and engineering ? Management of innovation in complex enterprise environment ? Human-in-the-loop automation, control, operation, and optimization ? Advanced human-machine/computer/robot/facility-interaction ? Wearable technologies and human centric sensing ? User centric design of industrial and enterprise systems ? Collaboration between human workers and robots ? Social-industry information exchange ? Enablers, drivers, and use cases of the Social Sensing IoT-enabled Smart Manufacturing ? Cloud based innovation of business models and manufacturing eco-systems ? Cloud manufacturing, mass-customization, and flexible manufacturing ? Networked manufacturing infrastructure and services ? Flexible and rapid recombination and reconfiguration of workshop floors ? Task modelling, decomposition, and composition ? Sharing of distributed manufacturing facilities and fine grain scheduling ? Holistic optimization of manufacturing efficiency ? Interaction and integration of Cyber Factory and Physical Factory ? Evolution and integration of Manufacturing Execution Systems ? Product life cycle management ? Manufacturing Facility-as-a-Service PAPER SUBMISSION The submitted paper should adhere to the double-blind review policy. All papers will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance, originality, significance, and clarity. All paper submissions will be handled electronically. Papers that do not comply with the Submission Guidelines will be rejected without review. Paper types: ? Full papers present final result. They must not exceed 8 pages. ? Short papers can contain preliminary results. They must not exceed 6 pages. ? Work-in-progress papers to present valuable and latest progresses of ongoing projects: 4 pages. Note, all manuscripts shall be written in English, using the IEEE conference template (double column, size 10). Templates can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html . Please use the following submission link for Easy Chair: https://easychair.org/conferences/?conf=es20180 . PUBLICATION AND SPECIAL ISSUES Accepted papers will be submitted for inclusion into the IEEE Xplore Database which is indexed by EI. Furthermore, selected papers will be invited for a special issue by the Journal of Industrial Integration and Management, World Scientific, with theme "Next-Generation Enterprise Systems in the Industrial Integration Era". More information is available on the conference web site. IMPORTANT DATES ? Regular Paper Submissions (al types) due: 31st July 2018 ? Notification of Acceptance/Rejection: 25th August 2018 ? Camera-Ready Versions of Accepted Papers: 6th September 2018 ? Author Registration: 6th September 2018 ? Early Non-Author Registration: 10th September 2018 ? Late Non-Author Registration: after 10th September 2018 ORGANIZING COMMITTEE Honorary General Chairs ? Aurona Gerber, South Africa, IEEE SMC EAE TC Chair ? Alta Van der Merwe, South Africa, IEEE SMC EAE TC Chair ? Li Da Xu, USA, IEEE SMC EIS TC Co-Chair Program Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus Program Co-Chairs ? Ling Xia Li, Old Dominion University, USA ? Wattana Golf Viriyasitavat, Chulalongkorn University, Thailand ? Yale Yu, Infosys Australia & New Zealand ? Chris Zhang, University of Saskatchewan, Canada ? Zhuo Zou, Fudan University, China Program Committee http://www.cyprusconferences.org/es2018/pages/pc.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From Carlo.Albert at eawag.ch Wed Jul 11 06:14:58 2018 From: Carlo.Albert at eawag.ch (Albert, Carlo) Date: Wed, 11 Jul 2018 10:14:58 +0000 Subject: Connectionists: Job: Data Science Group Leader in Swiss Aquatic Research Center In-Reply-To: <6A4BC95D-6939-4EA2-AA06-695096981F7F@contoso.com> References: <6A4BC95D-6939-4EA2-AA06-695096981F7F@contoso.com> Message-ID: The Swiss Federal Institute of Aquatic Science and Technology (Eawag) opens a new position for a scientific group leader in data science. Eawag is the aquatic research center within the ETH domain and located near Zurich, Switzerland. It conducts research, education and expert consulting to achieve the dual goals of meeting direct human needs for water and maintaining the function and integrity of aquatic ecosystems. The institute offers a stimulating research environment with strong collaboration between modelers and experimental and observational scientists from various domains. The new group leader can build on and extend our collaborations with the Swiss Data Science Center at the technical universities ETH Zurich and EPFL Lausanne, the Swiss National Supercomputing Center in Lugano and many international partners. We are looking for candidates with a strong track record in data science and an interest in applying their skills in the field of environmental research. Please use the link below to apply. For further information, shoot me an email (carlo.albert at eawag.ch), or meet me at the ICML this week! https://apply.refline.ch/673277/0634/pub/1/index.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From uwe.aickelin at unimelb.edu.au Wed Jul 11 05:30:24 2018 From: uwe.aickelin at unimelb.edu.au (Uwe Aickelin) Date: Wed, 11 Jul 2018 09:30:24 +0000 Subject: Connectionists: PhD Scholarships in Computing and Information Systems at the University of Melbourne Message-ID: <28B56107-CCA6-4087-BC15-11104325CF99@unimelb.edu.au> I am seeking expressions of interest for PhD scholarships in the School of Computing and Information Systems at the University of Melbourne in the areas of Artificial Intelligence, Optimisation and Datamining. Established in 1853, the University of Melbourne is consistently ranked among the leading universities in the world, holding the number 1 spot in Australia. The School of Computing and Information Systems is an international research leader in computer science and information systems. In this discipline, the School was ranked number 1 in Australia and 14th in the world in the 2018 QS World University Ranking exercise. These scholarships include a tax-free living allowance of $30,600 per year (2019 rate) for up to 3.5 years. There is potential for the applicants to earn additional money through assistance in undergraduate teaching, and top-up scholarship options are also available. These scholarships are available to applicants of any nationality, who will also be exempt from the full tuition fee costs for the duration of candidature. See this link for more information on the scholarship: https://scholarships.unimelb.edu.au/awards/graduate-research-scholarships I am looking for candidates in the top 5% of their graduating cohort, or with an overall result in the top echelon for their degree. e.g. H1 (80-100%), High Distinction, A, 3.5 out of 4 GPA etc. Students should have completed a master?s degree that included a research project/thesis that accounts for at least 25% of one year's work in a relevant discipline. Please see these pages for further details regarding entry requirements: http://www.eng.unimelb.edu.au/study/degrees/phd/entry-requirements#entry-requirements To express your interest in these PhD Scholarships please send your CV including details of two referees, a full copy of your academic transcripts (Bachelor and Master) and a one-page cover letter which outlines your research skills, experience and why this PhD opportunity interests you to uwe.aickelin at unimelb.edu.au. Suitable applicants will be contacted for an interview and given further instructions how to submit a formal application. Closing Dates for Expressions of Interest for 2019: 31 July 2018 Uwe Aickelin -------------- next part -------------- An HTML attachment was scrubbed... URL: From trungdung.ngo at gmail.com Wed Jul 11 10:21:06 2018 From: trungdung.ngo at gmail.com (Ngo Trung Dung) Date: Wed, 11 Jul 2018 11:21:06 -0300 Subject: Connectionists: [meetings] 2nd Call for Papers - IROS 2018 Workshop on "Robotic Co-workers 4.0: Human Safety and Comfort in Human-Robot Interactive Social Environments" Message-ID: CALL FOR PAPERS *Robotic Co-workers 4.0: Human Safety and Comfort in Human-Robot Interactive Social Environments* Friday morning (9:30 - 13:30), October 5th, 2018, Madrid, Spain *Website*: https://sites.google.com/site/humansafetyandcomfortiros2018/home *Important Dates: * Submission of short papers: July 30th Notification of acceptance Date: August 15th Short-papers (2-4 pages in IEEE conference format) can be submitted via e-mail to tngo at upei.ca. *Objectives:* Professional and personal service robots are becoming enabling assistive technologies for social interactive environments. However, the first and the most challenging issue with respect to deploying service robots in human populated environments is *how to guarantee human safety and comfort in human-robot shared workspaces*. Human physical safety is concerned with how to maintain the minimum physical distance between robots and humans, while human psychological comfort implies that robots should not cause stress and discomfort to humans when working with or around them. Human risks and their inconveniences when working in an interactive social environment essentially come from unavoidable situations due to robot malfunctioning operations caused by either misunderstanding and misinterpreting information extracted from sensing and perception or failures of path planning and motion control. Furthermore, humans may feel uncomfortable as well as fear and stress towards service robots as such robots do not behave in the natural way of humans with respect to their social situations, contexts, and cultures. It is important to find out a *methodological approach of incorporating social signals, cues, and norms into sensing, perception, path planning, and motion control of the robot control architecture **so that the robots capable of securing human physical safety and ensuring psychological comfort when interacting and cooperating with humans in human-robot shared work spaces*. *Topics:* - Current state-of-the-art in human safety and comfort in interactive social environments - New hardware and software design for human safety and comfort - System design and integration for human safety and comfort - Safety rules for human safety in human-robot shared workspaces - Ethics for human safety and comfort - Human detection and tracking techniques in shared environments - Human face and body detection and tracking - Human gestures and posture recognition - Human-object interaction and human-robot handover detection and tracking - Human group interaction detection and tracking - Sensor fusion techniques to extract social cues and signals - Learning algorithms for interpretation of social signals and cues in contexts - Human aware robot navigation techniques - Robot navigation in dynamic social environments - Robot avoiding and approaching techniques - Human-robot interaction in close proximity - Path planning and motion planning for mobile service robots in social environments - Control engineering applied for services mobile robots - Real-time control and optimization of robot operations in social environments - Applications of mobile service robots in social environment *Organizers* *Rachid Alami *, LAAS-CNRS, TMBI, Univ. Toulouse, France (Rachid.Alami at laas.fr) *Takayuki Kanda* , Kyoto University, Japan (kanda at i.kyoto-u.ac.jp) *Goldie Nejat* , University of Toronto, Canada (nejat at mie.utoronto.ca) *Yongsheng Ou* , Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, China (ys.ou at siat.ac.cn) *Xuan Tung Truong* , University of Prince Edward Island, Canada (xuantung.truong at gmail.com) *Trung Dung Ngo *, The *More-Than-One Robotics Laboratory, **Faculty of Sustainable Design Engineering, **University of Prince Edward Island *(tngo at upei.ca) -------------- next part -------------- An HTML attachment was scrubbed... URL: From djalel.benbouzid at gmail.com Wed Jul 11 11:20:23 2018 From: djalel.benbouzid at gmail.com (Djalel Benbouzid) Date: Wed, 11 Jul 2018 17:20:23 +0200 Subject: Connectionists: Deep Learning and Robotics Challenge in Munich Message-ID: [apologies for duplicates] *Volkswagen Group AI Research *invites students to join the 2018 *Deep Learning and Robotics Challenge *in Munich. It will take place from September 10 to October 19, 2018. Empowered with 7-DoF robotic arms and good computing power, you and your team will apply machine learning methods to solve the different tasks of the challenge. Further information and application through *https://argmax.ai/2018/07/05/DLRC2018/ * Application *deadline: July 31, 2018*. *Note*: within this programme, we can only hire university-enrolled students (before the MSc degree) -- *Djalel Benbouzid - benbouzid at argmax.ai * Research Scientist Data:Lab Munich Volkswagen Group AI Research -------------- next part -------------- An HTML attachment was scrubbed... URL: From mark.johnson at mq.edu.au Wed Jul 11 19:28:04 2018 From: mark.johnson at mq.edu.au (Mark Johnson) Date: Wed, 11 Jul 2018 23:28:04 +0000 Subject: Connectionists: Post-doc positions and PhD scholarships (with top-ups) at Macquarie University, Sydney, Australia Message-ID: <252589A8-0DBC-4067-B8EE-F541BA6385B0@MQ.edu.au> We are building a new Centre for Research in AI and Language (CRAIL) at Macquarie University, Sydney, Australia, focusing on Deep Learning for NLP and AI. Research topics include Parsing, Dialog, Deep Unsupervised Learning, Language in Context, Vision and Language and Language for Robot Control. We are recruiting top PhD Students and Postdoctoral Researchers with generous pay and top-up scholarships. Successful candidates will have a proven research track record in NLP or ML and expertise in Deep Learning. Complete applications must be received through the university's on-line application system by 31st July 2018. For more information contact Mark.Johnson at MQ.edu.au -------------- next part -------------- An HTML attachment was scrubbed... URL: From j.vandemeent at northeastern.edu Wed Jul 11 23:32:42 2018 From: j.vandemeent at northeastern.edu (Van De Meent, Jan-Willem) Date: Thu, 12 Jul 2018 03:32:42 +0000 Subject: Connectionists: [Deadline Extended to Aug 1] PROBPROG 2018 - The International Conference on Probabilistic Programming Message-ID: PROBPROG 2018 The First International Conference on Probabilistic Programming https://probprog.cc # Dates and Location Conference Dates: Fri 5 - Sat 6 Oct 2018 Conference Location: Boston, MA, USA Submission Deadline: Wed Aug 1, 2018 11:59PM AOE # Keynote Speakers Intelligence track: Stuart Russell (UC Berkeley) Statistics and Data Analysis track: Dave Blei (Columbia University) Languages and Systems track: Jean-Baptiste Tristan (Oracle Labs) Practice of Probabilistic Programming track: Zoubin Ghahramani (University of Cambridge & Uber AI Labs) # Call for Submissions Deadline: Wed Aug 1, 2018 11:59 PM AOE. Submit at: https://cmt3.research.microsoft.com/PROBPROG2018/ The PROBPROG conference is dedicated to both probabilistic programming research and the practice of probabilistic programming. It welcomes submissions for research presentations, demonstrations, open-source systems, and participants in open discussions with industry. It includes four tracks for invited and contributed presentations: 1. Probabilistic Programming and Intelligence. 2. Probabilistic Programming for Statistics and Data Analysis. 3. Probabilistic Programming Languages and Systems. 4. The Practice of Probabilistic Programming. This first year, we are inviting submissions in the form of 2-page abstracts. Submissions should not be anonymized and will be lightly reviewed for technical correctness and topicality. Accepted submissions may be included in poster sessions, demos, or talk sessions. Abstracts should use the ACM SIGPLAN format linked here: http://www.sigplan.org/Resources/Author/ We are soliciting the following kinds of submissions: - Original research in probabilistic programming, including research that is under review. - Highlights of already-published probabilistic programming research, that could be of interest to the PROBPROG community, or would benefit from PROBPROG feedback. - Work that discusses the design and implementation of probabilistic programming systems, or the application of probabilistic programs. Community feedback at PROGPROG 2018 will inform the PROBPROG Steering Committee's decisions around when to create a peer-reviewed probabilistic programming journal and/or conference proceedings. # Diversity We are actively working to ensure that the PROBPROG conference is inclusive in the broadest sense. In particular, we encourage contributions from participants whose gender, sexual orientation, and/or ethnic identities are underrepresented in the field. We are at present in the process of drawing up a code of conduct. We welcome feedback from the community on policies and measures that help establish a venue that is welcoming to all participants. Please direct such suggestions and comments to . # Organizing Committee Vikash Mansinghka (MIT) Jan-Willem van de Meent (Northeastern University) Avi Pfeffer (Charles River Analytics) From krzysztof.geras at gmail.com Wed Jul 11 18:56:50 2018 From: krzysztof.geras at gmail.com (Krzysztof Geras) Date: Wed, 11 Jul 2018 18:56:50 -0400 Subject: Connectionists: Postdoctoral researcher position in deep learning for medical image analysis at NYU Message-ID: We are looking for a postdoctoral researcher to join our efforts in developing deep learning methods for early diagnosis of breast cancer during screening mammography. We intend to work both on methods improving the accuracy as well as explaining the prediction in a human-interpretable form. The candidate will be based primarily at the NYU School of Medicine (Prof. Krzysztof J. Geras, Prof. Linda Moy and Prof. S. Gene Kim) and will work in close collaboration with the NYU Center for Data Science (Prof. Kyunghyun Cho). Expected qualifications: - PhD (or near completion) in machine learning or related discipline, - experience with deep neural networks for computer vision, - excellent programming skills, - ability to work in an interdisciplinary team with members at various levels. Some examples of our recent work: - arxiv.org/pdf/1703.07047.pdf - arxiv.org/pdf/1711.03674.pdf - arxiv.org/pdf/1805.08249.pdf Start date: As soon as possible. Please apply by no later than the 10th of August. The initial appointment will be for a year, with an option to renew further, depending on performance and funding. To be considered for this position, please send your CV with a list of publications and the contact details of two references to: k.j.geras at nyu.edu. The title of the email should start with the string ?[postdoc, deep learning for breast cancer]?. Best, Krzysztof J. Geras, Kyunghyun Cho, Linda Moy, S. Gene Kim NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Wed Jul 11 18:11:05 2018 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Wed, 11 Jul 2018 23:11:05 +0100 Subject: Connectionists: CFP: 3rd ECML/PKDD 2018 Workshop on IoT Large Scale Machine Learning from Data Streams Message-ID: <90739e4f-667d-b638-0672-7a94cdaf7873@isep.ipp.pt> ================================== Call for Papers on IoT Large Scale Machine Learning from Data Streams https://abifet.wixsite.com/iotstreaming2018 3rd ECML/PKDD 2018 Workshop on IoT Large Scale Machine Learning from Data Streams The volume of data is rapidly increasing due to the development of the technology of information and communication. This data comes mostly in the form of streams. Learning from this ever-growing amount of data requires flexible learning models that self-adapt over time. In addition, these models must take into account many constraints: (pseudo) real-time processing, high-velocity, and dynamic multi-form change such as concept drift and novelty. This workshop welcomes novel research about learning from data streams in evolving environments. It will provide the researchers and participants with a forum for exchanging ideas, presenting recent advances and discussing challenges related to data streams processing. It solicits original work, already completed or in progress. Position papers are also considered. This workshop is combined with a tutorial treating the same topic and will be presented in the same day. Motivation and focus The volume of data is rapidly increasing due to the development of the technology of information and communication. This data comes mostly in the form of streams. Learning from this ever-growing amount of data requires flexible learning models that self-adapt over time. In addition, these models must take into account many constraints: (pseudo) real-time processing, high-velocity, and dynamic multi-form change such as concept drift and novelty. Consequently, learning from streams of evolving and unbounded data requires developing new algorithms and methods able to learn under the following constraints: -) random access to observations is not feasible or it has high costs, -) memory is small with respect to the size of data, -) data distribution or phenomena generating the data may evolve over time, which is known as concept drift and -) the number of classes may evolve overtime. Therefore, efficient data streams processing requires particular drivers and learning techniques: Incremental learning in order to integrate the information carried by each new arriving data; Decremental learning in order to forget or unlearn the data samples which are no more useful; Novelty detection in order to learn new concepts. It is worthwhile to emphasize that streams are often generated by distributed sources, especially with the advent of Internet of Things and therefore processing them centrally may not be efficient especially if the infrastructure is large and complex. Scalable and decentralized learning algorithms are potentially more suitable and efficient. Aim and scope This workshop welcomes novel research about learning from data streams in evolving environments. It will provide the researchers and participants with a forum for exchanging ideas, presenting recent advances and discussing challenges related to data streams processing. It solicits original work, already completed or in progress. Position papers are also considered. The scope of the workshop covers the following, but not limited to: Online and incremental learning Online classification, clustering and regression Online dimension reduction Data drift and shift handling Online active and semi-supervised learning Online transfer learning Adaptive data pre-processing and knowledge discovery Applications in Monitoring Quality control Fault detection, isolation and prognosis, Internet analytics Decision Support Systems, etc. Submission and Review process Regular and short papers presenting work completed or in progress are invited. Regular papers should not exceed 12 pages, while short papers are maximum 6 pages. Papers must be written in English and are to be submitted in PDF format online via the Easychair submission interface:https://easychair.org/conferences/?conf=iotstreaming2018 Each submission will be evaluated on the basis of relevance, significance of contribution, quality of presentation and technical quality by at least two members of the program committee. All accepted papers will be included in the workshop proceedings and will be publically available on the conference web site. At least one author of each accepted paper is required to attend the workshop to present. Important dates Paper submission deadline:Monday, July 16th, 2018 Paper acceptance notification:Friday, July 27th, 2018 Paper camera-ready submission:Monday, August 6th, 2018 Best regards, Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From castro.neuro at pm.me Wed Jul 11 16:23:56 2018 From: castro.neuro at pm.me (=?UTF-8?Q?Andr=C3=A9_Castro?=) Date: Wed, 11 Jul 2018 16:23:56 -0400 Subject: Connectionists: ESI SyNC Conference 2018 - Integrative Mechanisms of Cognitive Neuroscience Message-ID: Dear all, we are pleased to announce the 2018 edition of the ESI Systems Neuroscience Conference (ESI SyNC) on the topic of ?Integrative Mechanisms of Cognitive Neuroscience" organized by the [Ernst Str?ngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society](http://www.esi-frankfurt.de/esi-frankfurt/) in Frankfurt am Main, Germany. The conference will begin in the morning of 30 August and end in the evening of 31 August 2018. Our confirmed invited speakers are the following: - David Melcher (University of Trento, Italy) -- "Temporal rhythms of visual perception" - Dimitri Kullmann (UCL, UK) -- "Hippocampal gamma oscillations: dynamical properties and closed-loop manipulation" - Matteo Carandini (UCL, UK) -- "Local and global neural correlates of vision, action, and reward" - Biyu He (NYU, US) -- tba - Melanie Wilke (DPZ, Germany) -- tba - Wim Vanduffel (KU Leuven, Belgium) -- "Optogenetic interrogation of the attention network in primates" - Anitha Pasupathy (University of Washington, US) -- "Encoding things and stuff: multiplexed form and texture signals in primate V4" - Floris de Lange (Radboud University, Netherlands) -- "How do prior expectations influence sensory computations?" - Hannah Monyer (Heidelberg University, Germany) -- tba - James Bisley (UCLA, US) -- tba This year we have the pleasure to announce as our special guest the choreographer Ildik? T?th! The registration deadline: 15 August 2018. Please see our [website](http://www.esi-frankfurt.de/esisync/esisync-home/) for more details and updates on the programme. Organising Committee: Wolf Singer Pascal Fries Andr? Castro Tommaso Tosato Ana Broggini Miriam Mueller Renata Vajda -------------- next part -------------- An HTML attachment was scrubbed... URL: From ckemp at cmu.edu Thu Jul 12 02:05:10 2018 From: ckemp at cmu.edu (Charles Kemp) Date: Thu, 12 Jul 2018 16:05:10 +1000 Subject: Connectionists: Postdoc in computational cognitive science at the University of Melbourne Message-ID: The Complex Human Data Hub (CHDH) at the University of Melbourne is seeking a postdoctoral research associate to collaborate with Charles Kemp on the mathematical and computational study of human cognition. Applicants from Australia and elsewhere are both welcome. Start date is flexible and funding is available for up to three years. This position is not tied to a particular project so the postdoc will play a key role in developing the research agenda. Some background in cognitive science is essential and researchers with an interest in computational approaches to language are especially encouraged. Representative topics include cross-linguistic semantics, cultural and linguistic evolution, categorization, learning, decision-making and inductive reasoning. Representative approaches include probabilistic modeling, information-theoretic analyses, and the analysis of large naturally occurring data sets (e.g. linguistic corpora, dictionaries, twitter posts, and image collections). We are looking for an excellent early career researcher with experience and interest in any subset of these topics and approaches. The principal supervisor for this position will be Charles Kemp. The postdoc will also have the chance to interact with Simon Dennis, Daniel Little, Amy Perfors and other members of the Complex Human Data Hub. Applications submitted before July 31 will receive full consideration, and applications after this date may also be considered. For more information please contact Charles Kemp at charles.kemp at unimelb.edu.au. Formal applications should be submitted at http://jobs.staff.unimelb.edu.au/ci/en/job/897032/postdoctoral-research-fellow-in-cognitive-science -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonino.staiano at uniparthenope.it Thu Jul 12 04:10:08 2018 From: antonino.staiano at uniparthenope.it (Antonino Staiano) Date: Thu, 12 Jul 2018 10:10:08 +0200 Subject: Connectionists: CfP: MACHINE LEARNING AND BIO-INSPIRED COMPUTATION AID TO INFORM COMPLEX ENVIRONMENTAL DECISIONS Message-ID: Apologize for multiple postings *************************************************************************** LAST DAYS FOR SUBMISSIONS: DEADLINE APPROACHING: July 15th, 2018 *************************************************************************** Virtual Special Issue on: MACHINE LEARNING AND BIO-INSPIRED COMPUTATION AID TO INFORM COMPLEX ENVIRONMENTAL DECISIONS at Ecological Informatics (Elsevier) Guest Editors: Antonino Staiano (a)?Friedrich Recknagel (b) a.Department of Science and Technology, University of Naples Parthenope, Italy b.School of Biological Sciences, University of Adelaide, Australia Scope: Environmental decision makers and scientists face highly dynamic and complex problems that require suitable quantitative tools for data analysis, synthesis and forecasting. To name just a few examples, forecasting of the export of nutrients from river basins, salinity, ozone levels, air pollution, algal growth and transport in lakes and rivers, or assessing risks of species extinction by bioinvasion and degradation of pesticides in soils, often exceed potential of statistical analysis and simple mathematical modeling. Machine learning techniques such as artificial neural networks, evolutionary algorithms, regression trees, fuzzy and neuro-fuzzy modeling as well as bio-inspired computation such as immuno-computing, prove to be very efficient in coping with highly complex and non-linear problems. The aim of the proposed special issue is to draw special attention to current applications and future potential of machine learning and bio-inspired computation in the field of environmental analysis and management, and to stimulate interdisciplinary collaborations in this challenging research field. Researchers and practitioners in computer science, artificial intelligence, natural and environmental sciences are invited to submit papers on applications of machine learning and bio-inspired computation to problems like impacts of pollution, global warming, habitat degradation and bioinvasion on terrestrial and aquatic populations, communities and ecosystems, pesticide risk assessment. If you are interested in submitting a paper to the VSI, please submit your manuscript to the EVISE system https://www.evise.com/profile/api/navigate/ECOINF. Authors must select ?VSI:AI-aided decision making? in the submission process. Timeline: - July 15 2018: extended submission deadline - August 2018: first round review - September 2018: final submission - November 2018: publication Antonino Staiano, PhD Assistant Professor Dept. Science and Technology University of Naples Parthenope, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From FLIU0 at mgh.harvard.edu Thu Jul 12 16:00:54 2018 From: FLIU0 at mgh.harvard.edu (Liu, Feng) Date: Thu, 12 Jul 2018 20:00:54 +0000 Subject: Connectionists: Call for paper Brain Informatics 2018 Message-ID: Dear Researchers in Neuroimaging, computational neuroscience, machine learning on brain data, AI on healthcare, Sorry for cross-posting. Below is the information on Brain informatics 2018 which will be hosted in Arlington, TX on Dec 7-9. --- The 11th International Conference on Brain Informatics (BI'18) http://uta.engineering/conferences/bi-2018 The International Conference on Brain Informatics series (BI) started in 2006 and has established itself as the world?s premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The BI?18 provides a premier international forum to bring together researchers and practitioners from diverse fields for the presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on brain informatics research, brain-inspired technologies and brain mental health. Topics and Areas The BI'18 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: ? Track 1: Cognitive and Computational Foundations of Brain Science ? Track 2: Human Information Processing Systems ? Track 3: Brain Big Data Analytics, Curation, and Management ? Track 4: Informatics Paradigms for Brain and Mental Health Research ? Track 5: Brain-Machine Intelligence and Brain-Inspired Computing Publications ? Paper Submission: Full papers should be limited to a maximum of 10 pages including figures and references in Springer LNCS Proceedings format; high-quality paper submissions with up to 6 pages are also welcome and will be accepted as short papers based on originality, the significance of contribution, technical merit, and presentation quality. ? Research Abstract: Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. ? Journal Opportunities: High-quality BI conference papers will be nominated for a fast-track review and publication at the Journal of Brain Informatics, an international, peer-reviewed, interdisciplinary Open Access journal published by Springer. No open access article-processing fee will be charged for BI conference paper authors. ? Special Issues & Books: Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series, or a special issue at the Brain Informatics Journal. Important Dates ? July 26, 2018: Papers submission deadline (Extended) ? August 30, 2018: Notification of paper acceptance ? August 1, 2018: Abstract Submission deadline ? August 30, 2018: Notification of abstract acceptance ? December 7, 2018: Workshops & Special Sessions ? December 8-9, 2018: Main conference The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail. -------------- next part -------------- An HTML attachment was scrubbed... URL: From georg.dorffner at meduniwien.ac.at Fri Jul 13 12:20:28 2018 From: georg.dorffner at meduniwien.ac.at (Georg Dorffner) Date: Fri, 13 Jul 2018 18:20:28 +0200 Subject: Connectionists: Professorship position at Medical University of Vienna Message-ID: The Medical University of Vienna (MedUni of Vienna) with more than 5,500 employees and about 8,000 students is one of the largest academic medical schools in the EU area. At the *Center for Medical Statistics, Informatics and Intelligent Systems* of the MedUni of Vienna a *professorship position in ?Medical Informatics?* is available at the earliest possible time. We offer an open-ended contract according to the respective employment law. Employment requirements: 1. Doctoral degree in informatics or a corresponding foreign university degree in the relevant field of specialization; 2. Internationally visible scientific performance in the area of medical informatics including the fields of bioinformatics, machine learning (artifical intelligence) and/or digital medicine; 3. Research experience in the development and application of methods and tools for analysing and processing of biological, clinical and molecular data; 4. Documentation of successful and continuous acquisition of substantial third-party funds; 5. Successful leadership of a scientific task force, leadership and management experience, including gender competence; 6. Educational and didactic qualification (including student feedback, teaching evaluation reports); 7. Experience in interdisciplinary cooperation; 8. International experience. Expected from the applicant: * Scientific focus on one or more of the following research areas: o Analysis and processing of extensive heterogeneous data from the area of health and biomedicine (including clinical data from routine care) o Bioinformatic analysis of molecular data (e.g. Next Generation Sequencing data) and their relation to biomedical and clinical information o Linking of data analysis with domain-specific models and theories of biological systems including modelling of biological processes o Machine learning in the area of biomedical research and/or clinical decision support * Inter- and multidisciplinary research to reinforce the biomedical research area of the MedUni Vienna as well as cooperation with the research clusters as described in the university's development plan and cooperation with the planned Center of Precision Medicine; * Leadership for the further expansion of the master?s programme Medical Informatics and the PhD programme Medical Informatics, Biostatics and Complex Systems and corresponding teaching activiy; * Competence in employee management and motivation; * Commitment to a quality of results orientation and to further development of personal management qualifications The MedUni of Vienna intends to increase the proportion of women in leading positions and therefore encourages qualified female candidates to apply. In case of equivalent qualifications, preference will be given to female applicants. Written applications must be submitted in German or English not later than *October 1st, 2018* to the Rector of the Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria (buerouniversitaetsleitung at meduniwien.ac.at). Applications should include (i) curriculum vitae, (ii) list of publications, (iii) summary of previous research and teaching activities, (iv) summary of previous scientific activities, (v) description of previous experiences in the area of organization, management, leadership tasks and project planning, (vi) the applicant?s qualification according to the employment requirements, (vii) the ten best-ranked publications from the applicant?s point of view (scientific original papers or reviews appropriate to this announcement). The application documents should be downloadable. Applicants are requested to complete the fact sheet and to enclose it with the application documents: https://www.meduniwien.ac.at/Factsheet Information regarding the General Data Protection Regulation is available at http://www.meduniwien.ac.at/datenschutz/bewerbungen_en See also (German) https://www.meduniwien.ac.at/web/karriere/stellenausschreibungen/ (English) https://euraxess.ec.europa.eu/jobs/323875 -------------- next part -------------- An HTML attachment was scrubbed... URL: From caspar.schwiedrzik at googlemail.com Sun Jul 15 04:30:30 2018 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Sun, 15 Jul 2018 10:30:30 +0200 Subject: Connectionists: =?utf-8?q?New_application_deadline=3A_Neuroscienc?= =?utf-8?q?e_data_analyst_opening_at_European_Neuroscience_Institut?= =?utf-8?q?e_G=C3=B6ttingen=2C_Germany?= Message-ID: *Please note the new application deadline July 31st, 2018. * The European Neuroscience Institute G?ttingen (ENI-G) is seeking a *Neuroscience data analyst * initially limited until 31.12.2019 with extension options, full-time | salary according to TV-L About us The University Medical Center G?ttingen is a tertiary care center and offers great development potential. Its 7,700 employees work in over 65 departments and facilities to provide top-quality patient care, excellent research and modern teaching. G?ttingen, ?City of Science?, located near the center of Germany, the University Medical Center G?ttingen is embedded in the city?s attractive network of scientific research facilities. The European Neuroscience Institute is looking to fill the position of a data analyst (full time). We are looking for a data analyst with interest and experience in systems neuroscience. Research at the European Neuroscience Institute ranges from molecular biology to human psychophysics and involves a range of model organisms (from drosophila to non-human primates), techniques and approaches (electrophysiology, two-photon imaging, fMRI, EEG, behavior). The data analyst will work closely with various research groups at the European Neuroscience Institute, supporting research efforts, e.g., through modelling and statistical analyses of high-dimensional data, image processing, and programming/development of experiments. S/he will have the opportunity to develop and publish, e.g., analytical tools that arise from this work. - The applicant should possess a university degree in a relevant field, e.g., statistics, biostatistics, informatics, or similar. Prior experience in the field of systems neuroscience is highly desired. - The applicant should have experience in a research setting utilizing quantitative methods and statistics. The applicant shall demonstrate strong analytical skills and knowledge of novel and emerging analysis techniques is highly desired. Future/forward thinking in the area of big data analytics/informatics and applying them to contribute to the research groups? scientific process is expected. - The applicant should be skilled in the analysis of multivariate datasets to reveal patterns and build models; conduct exploratory data analysis, and communicate with team lead/team members; identify improvements for existing data management and recommend requirements for new systems. - Contribute to replicability by making suggestions for existing data management and recommend requirements for new systems and identify potential data integrity issues. - Utilize programming languages such as Python, Matlab and/or C++. - Good command of English is mandatory. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. We look forward to receiving your application by *July 31st, 2018* University Medical Center G?ttingen European Neuroscience Institute G?ttingen Dr. Caspar Schwiedrzik Group Leader Grisebachstr. 5 37077 G?ttingen Tel.: 0551/39-61371 E-Mail: cschwie3 at gwdg.de <%20cschwie3 at gwdg.de> Web: http://www.eni-g.de/ *Please send your application only via e-mail as a PDF-file. * -------------- next part -------------- An HTML attachment was scrubbed... URL: From naotsugu.tsuchiya at monash.edu Sun Jul 15 19:03:41 2018 From: naotsugu.tsuchiya at monash.edu (Nao Tsuchiya) Date: Mon, 16 Jul 2018 09:03:41 +1000 Subject: Connectionists: Postdoc positions on Consciousness Research at Monash Uni, Australia Message-ID: Position A: DP180100396 (in collaboration with Masafumi Oizumi, Hiroto Kawasaki, Giulio Tononi) No report paradigm in EEG/MEG/intracranial recordings and the analysis of integrated information across sensory and prefrontal cortex Position B: DP180104128 (in collaboration with Marta Garrido, Ueli Rutishauser, Ralph Adolphs) The analysis of MEG/intracranial recordings, using Granger causality and integrated information We are looking for highly talented postdocs (application from PhD students with a prospect of getting PhD in 1 year are welcomed) for the above two ARC-funded positions. Ideal candidates in both positions would have strong publications, strong programming skills in Matlab/Python, strong background in data analysis, preferably neuroimaging data or neural spikes. The projects include 1) design of various psychophysical paradigms (*pdf )*, including no-report paradigms (*pdf *), which can be used for subsequent EEG/MEG/intracranial recording experiments and 2) analysis of EEG/MEG/intracranial data using the approximations of integrated information (link1 , *link *, *link *, *link )* ). Please send the inquiry with your CV to naotsugu.tsuchiya at monash.edu. Applicants with most fit background and skills will be contacted for subsequent interview over the internet. The positions will be available until they are filled. Regards Nao Tsuchiya -- -- *Nao (Naotsugu) Tsuchiya* Associate Professor *Monash Institute of Cognitive and Clinical Neurosciences* Attention and Memory Program School of Psychological Sciences Monash University 770 Blackburn Monash Biomedical Imaging facility, Clayton, VIC 3800 Australia T: +61 3 9905 4564 E: naotsugu.tsuchiya at monash.edu W: homepage: http://users.monash.edu.au/~naotsugt/Tsuchiya_Labs_Homepage 2. Visiting Researcher at Department of Dynamic Brain Imaging, Advanced Telecommunications Research (ATR), Japan 3. Visiting Researcher at CiNet, Osaka University, Japan orcid.org/0000-0003-4216-8701 -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Mon Jul 16 08:58:20 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Mon, 16 Jul 2018 15:58:20 +0300 Subject: Connectionists: The 34th ACM Symposium on Applied Computing (SAC 2019): Second Combined Call for Papers Message-ID: *** SECOND COMBINED CALL FOR PAPERS *** The 34th ACM Symposium on Applied Computing (SAC 2019) St. Raphael Resort, Limassol, Cyprus, April 8-12, 2019 https://www.sigapp.org/sac/sac2019 For the past thirty-three years the ACM Symposium on Applied Computing (SAC) has been a primary and international forum for applied computer scientists, computer engineers and application developers to gather, interact and present their work. The ACM Special Interest Group on Applied Computing (SIGAPP) is the sole sponsor of SAC. The conference proceedings are published by ACM and are also available online through ACM's Digital Library. The 34th Annual SAC meeting will be held in April 2019 in Limassol, Cyprus, and is hosted by the University of Cyprus. The conference features the following tracks: ? Intelligent Robotics and Multi-Agent Systems (IRMAS) ? Knowledge Representation and Reasoning (KRR) ? Information Access and Retrieval (IAR) ? Software Verification and Testing (SVT) ? Computational Intelligence and Video & Image Analysis (CIVIA) ? Social Network and Media Analysis (SONAMA) ? Selected Areas of Wireless Communications and Networking (WCN) ? Recommender Systems: Theory and Applications (RS) ? Computer Security (SEC) ? Web-based Technologies for Interactive Computing Education (WICE) ? Data Mining (DM) ? Usability Engineering (UE) ? Cloud Computing (CC) ? Privacy by Design in Practice (PDP) ? Advances in COMputational Biomedical Imaging (COMBI) ? Operating Systems (OS) ? Software Platforms (SP) ? Decentralized Applications (DAPP) with Blockchain, DLT and Crypto-Currencies (DAPP) ? Databases and Big Data Management (DBDM) ? Requirements Engineering (RE) ? Cyber-Physical Systems (CPS) ? Software Architecture: Theory, Technology, and Applications (SA-TTA) ? Internet of Things (IoT) ? Sustainability of Fog/Edge Computing Systems (SFECS) ? Software-intensive Systems-of-Systems (SiSoS) ? Data Streams (DS) ? Programming Languages (PL) ? Business Process Management & Enterprise Architecture (BPMEA) ? Microservices, DevOps, and Service-Oriented Architecture (MiDOS) ? Health Informatics (HI) ? Dependable, Adaptive, and Secure Distributed Systems (DADS) ? GeoInformation Analytics (GIA) ? Knowledge and Language Processing (KLP) ? KomIS: Knowledge Discovery meets Information Systems (KomIS) ? Next Generation Programming Paradigms and Systems (NGPS) ? Communication, Computing and Networking in Internet of Vehicles (CCNIV) ? Bioinformatics (BIO) ? Embedded Systems (EMBS) ? Digital Life for Human Well-being (DLHWB) ? Networking (NET) ? Semantic Web and Applications (SWA) ? Mobile Computing and Applications (MCA) ? Software Engineering (SE) ? Variability and Software Product Line Engineering (VSPLE) ? Smart Human Computer Interaction (HCI) ? Web Technologies (WT) ? Machine Learning and its Applications (MLA) More information about the topics covered by each track and submission instructions are available on the conference web site and the web sites of the tracks themselves (accessible from the conference web site). Important Dates ? Sept 10, 2018: Submission of papers ? Nov 10, 2018: Author notification ? Nov 25, 2018: Camera-ready copies ? Dec 10, 2018: Author registration Committees https://www.sigapp.org/sac/sac2019/organization.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From ale at sissa.it Mon Jul 16 17:28:22 2018 From: ale at sissa.it (Alessandro Treves) Date: Mon, 16 Jul 2018 23:28:22 +0200 Subject: Connectionists: HFSP postdoc in limbo, and perhaps at ENS Message-ID: <20180716232822.Horde.-JXzEx8V4mxbTQ32tkoCgzA@webmail.sissa.it> A postdoc is sought to join a HFSP-funded project to study analog cortical computations in linguistic processes. A collaboration with Naama Friedmann (TAU) and Remi Monasson (ENS) which includes, at SISSA, Sara Andreetta and several PhD students. Ideal candidates are interested in language but have expertise in mathematical approaches to neural computation - complementary to Sara's in behaviour. A fruitful interaction with Remi and his group may lead to a period based in Paris. Applications to be submitted by August 6, 2018, as indicated in https://www.sissa.it/bandi/selezione-pubblica-titoli-conferimento-di-n-1-assegno-di-ricerca-area-neuroscienze-refprof-1 (note: by 1pm!) with starting date Oct 1st. Inquiries at ale 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 pgrover at andrew.cmu.edu Mon Jul 16 10:37:34 2018 From: pgrover at andrew.cmu.edu (Pulkit Grover) Date: Mon, 16 Jul 2018 10:37:34 -0400 Subject: Connectionists: Postdoctoral position on novel stimulation techniques Message-ID: *Postdoctoral position in Grover/Chamanzar/Barth labs at CMU in experiments on novel invasive and noninvasive neurostimulation* A postdoc position at the intersection of experimental and computational neuroscience is available working jointly with the labs of Pulkit Grover, Maysam Chamanzar, and Alison Barth at Carnegie Mellon University (Pittsburgh, PA). The team's goal is to develop advanced theoretical techniques, closely with experimental validation, for invasive and noninvasive neurostimulation for advancing treatment of disorders such as epilepsy, Parkinson's, and brain injuries. The research project will exploit previously unknown or unexploited biological and physical phenomena that arise from examining the neural system from a combined biological, physical, and information-theoretic/control perspective. The project spans studies on rodents, monkeys, and eventually humans. The role of the postdoc will be to conduct and lead electrophysiology experiments on rodents with novel as well as existing instruments. This is an opportunity to work on a challenging scientific problem in a highly interdisciplinary and vibrant environment. The postdoc will be affiliated with the Carnegie Mellon Neuroscience Institute, and will get the opportunity to work with a team of researchers from various disciplines ranging from Biological Sciences, ECE, BME at CMU as well as clinicians at University of Pittsburgh. *Requirements*: PhD in a related discipline (Neuroscience or Biomedical Engineering) with a strong experimental research record. Experience in invasive electrophysical recordings and/or stimulation in mice or non-human primates. Prior experience with patch clamp recording and slice electrophysiology. Experience with in-vivo recording and stimulation will be helpful. Experience with optical (1-photon or 2-photon) calcium imaging is also a plus. The labs are committed to the professional development of the members, making this position a valuable preparation for those interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties. The ideal start date is Jan 2019. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. CMU has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to pulkit at cmu.edu and mchamanz at andrew.cmu.edu with the subject line "Neuro-Stimulation Postdoc". Application review will proceed until the position is filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fjaekel at uos.de Tue Jul 17 08:08:29 2018 From: fjaekel at uos.de (=?utf-8?q?Frank_J=C3=A4kel?=) Date: Tue, 17 Jul 2018 14:08:29 +0200 Subject: Connectionists: =?utf-8?q?Phd/postdoc_positions_=40_TU_Darmstadt?= Message-ID: <56d6-5b4ddc00-1-4d5af700@254940960> Dear all,?I?ve recently moved to the new Centre for Cognitive Science at TU Darmstadt, Germany, and I?m looking for PhD students and postdocs to join me there. My lab is interested in visual perception, categorization, concept attainment, and problem solving. We also work on psychophysical methods, probabilistic?modeling, and machine learning. The official job ads can be found below (they are in German but speaking German is not a prerequisite; the deadline is end of July). Please contact me if you?re interested.?Best regards,Frank?Centre for Cognitive Science @ TU Darmstadthttps://www.tu-darmstadt.de/cogsci?Job adshttps://www.tu-darmstadt.de/karriere_planen/allgemeineausschreibung/stellen_details_272256.en.jsphttps://www.tu-darmstadt.de/karriere_planen/allgemeineausschreibung/stellen_details_272320.en.jsp?Representative publicationshttp://tubiblio.ulb.tu-darmstadt.de/view/person/J=E4kel=3AF=2E=3A=3A.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Tue Jul 17 12:21:52 2018 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 17 Jul 2018 09:21:52 -0700 Subject: Connectionists: NEURAL COMPUTATION - August 1, 2018 In-Reply-To: Message-ID: Neural Computation - Volume 30, Number 8 - August 1, 2018 Available online for download now: http://www.mitpressjournals.org/toc/neco/30/8 ----- Article Machine Learning: Deepest Learning as Statistical Data Assimilation Problems Henry D. I. Abarbanel, Paul J. Rozdeba, and Sasha Shirman Letters Optimal Decoding of Dynamic Stimuli by Heterogeneous Populations of Spiking Neurons - a Closed Form Approximation Yuval Harelc, Ron Meir, and Manfred Opper Neural Simpletrons - Learning in the Limit of Few Labels With Directed Generative Networks Dennis Forster, Abdul-Saboor Sheikh, and Joerg Luecke Methods for Assessment of Memory Reactivation Shizhao Liu, Andres D. Grosmark, and Zhe Chen Evidence for Rentian Scaling of Functional Modules in Diverse Biological Networks Javier J. How, Saket Navlakha A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, and Willem Waegeman Confounder Detection in High Dimensional Linear Models Using First Moments of Spectral Measures Furui Liu, Laiwan Chan ------------ 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 t.hain at sheffield.ac.uk Tue Jul 17 10:18:39 2018 From: t.hain at sheffield.ac.uk (Thomas Hain) Date: Tue, 17 Jul 2018 15:18:39 +0100 Subject: Connectionists: 4 Postdoctoral and 3 PhD positions in Deep Learning for Speech Technology Message-ID: The Speech and Hearing Research Group at the University of Sheffield, UK currently has several open positions to work on topics related to speech and speech attribute recognition and analysis. We are looking for enthusiastic and highly skilled candidates that have a keen interest in machine learning as well as speech processing. The positions are listed below. There are some URLs included that link to the formal application pages, and all positions will eventually appear on jobs.ac.uk (only 2 are there at the moment). PLease contact t.hain at sheffield.ac.uk for any further questions. Best regards Thomas -- Dr. Thomas Hain, Professor of Speech and Audio Technology Head Speech and Hearing Research, Sheffield http://www.dcs.shef.ac.uk/~th =========================== 1. Research Associate in Deep Learning Methods for Speech Recognition To work on advanced methods for automatic speech recognition with the aim towards building transferable multiple domain end to end recognition systems that are adaptive and can learn over long periods of time. The position is funded by the Voicebase Centre for Speech and Language Technologies. Salaries are at University of Sheffield grade scales 7.1 - 7.9, and the opening is for 2 years, with the possibility of extension. More details can be found at: https://www.jobs.ac.uk/job/BKA 871/research-associate-in-deep-learning-for-speech-recognition/ 2. Research Associate in Multilingual Speech Recognition To work on advanced deep learning methods to build robust and high performance methods for speech recognition that can work in the context of many languages and that allow fast building of recognition systems for new languages. The position is funded by the Voicebase Centre for Speech and Language Technologies. Salaries are at University of Sheffield grade scales 7.1 - 7.9, and the opening is for 2 years, with the possibility of extension. More details can be found at: https://www.jobs.ac.uk/job/BKA 854/research-associate-in-multi-lingual-automatic-speech-recognition/ 3. Research Associate in Audio-Visual Dubbing Technologies To work on methods that allow to increase the productivity of Movie Voice Dubbing methodology through advanced speech technology. The aim is to develop and implement methods that can help media specialists in foreign language dubbing to produce spoken translations that fit perfectly to the visual content. The project work is in conjunction with Zoo Digital who provide access to rich and very large media archives. The position is funded by the Innovate UK (UKRI) project MAUDIE . Salaries are at University of Sheffield grade scales 7.1 - 7.9, and the opening is for 2.5 years. 4. Research Associate in Emotion and Speech Attribute Recognition To work on unified methodologies to extract information from speech that allows to infer a variety of speech properties relating to the emotional state. Methods should be robust and the work should keep further speech attributes in mind. The position is funded by the Innovate UK (UKRI) project MAUDIE and by IIKE in collaboration with Emotech Ltd. Salaries are at University of Sheffield grade scales 7.1 - 7.9, and the opening is for 12 months. Research Studentships 1. PhD in Multilingual Speech Recognition To work on novel deep learning methods for building recognition systems that can operate in several languages, methods for adapting recognition systems to languages with minimal data, methods that allow automatic inference of language attributes, or methods of unsupervised adaptation to new languages. Funding for 3 years, in the context of the Voicebase Centre for Speech and Language Technologies. 2. PhD in Direct waveform processing for noise robustness and multi-channel integration To work on robust methods for direct recognition from the raw waveforms - to achieve robustness against environmental effects. Work should focus on telephony, but further multichannel input is of interest. Funding for 3 years, in the context of the Voicebase Centre for Speech and Language Technologies. 3. PhD in Integrated methods for diarisation Diarisation is the process of recognising who speaks when, with as little prior knowledge as possible. To this day it is implemented as a multi-stage process. Research should focus on integrating what is now typically 4 stages of processing into an end to end . Funded by UKRI for 3.5 years. Funding details to be announced soon. -------------- next part -------------- An HTML attachment was scrubbed... URL: From vishal.pup at gmail.com Wed Jul 18 01:54:01 2018 From: vishal.pup at gmail.com (=?UTF-8?B?VmlzaGFsIEdveWFsKOCkteCkv+CktuCkvuCksiDgpJfgpYvgpK/gpLIp?=) Date: Wed, 18 Jul 2018 11:24:01 +0530 Subject: Connectionists: Second CFP: ICON 2018 - http://icon2018.in Message-ID: ***Apologies if you have received multiple copies of this CFP*** http://www.icon2018.in/ ============================================ ICON 2018 : 15th International Conference on Natural Language Processing Punjabi University, Patiala, India 15th - 18th December, 2018 Welcome to ICON 2018, Organized by: NLP Association, India IIIT, Hyderabad Punjabi University, Patiala Linguistic Data Consortium for Indian Languages, CIIL, Mysore ============================================ SECOND CALL FOR PAPERS The 15th International Conference on Natural Language Processing (ICON-2018) will be held at Punjabi University, Patiala during December 15-18, 2018. The ICON Conference series is a forum for promoting interaction among researchers in the field of Natural Language Processing (NLP) and Computational Linguistics (CL) in India and abroad. The main conference is on December 16-17, 2018. This will be preceded by one day of pre-conference tutorials on December 15, 2018 and one day of post conference workshops on December 18, 2018. Papers in ICON proceedings will be indexed in ACL Anthology. ACL Anthology is a digital archive of research papers in Computational Linguistics for major international conferences under Association for Computational Linguistics (ACL), which is one of the most well-known associations for NLP and CL. The previous proceedings of ICON 2014, ICON 2015, ICON2016, and ICON 2017 can be found in ACL Anthology. TOPICS Papers are invited on substantial, original and unpublished research on all aspects of Natural Language Processing, with a particular focus on South Asian languages and other less resourced languages, issues, and applications relevant to South Asia. Papers on other languages of the world are also invited. The areas of interest include, but are not limited to: Phonology Morphology Syntax Semantics Discourse POS Tagging Parsing Word Sense Disambiguation Machine Translation/Statistical Machine Translation Pragmatics Computational or Quantitative Psycholinguistics Statistical Methods Knowledge-based Methods Annotation and Annotated Corpora Lexical Resources Ontology Sentiment Analysis Machine Learning in NLP NLP-based Recommendation Systems Performance Evaluation of NLP Systems Information Retrieval Information Extraction Automatic Text Summarization Question Answering Natural Language Generation Dialog Systems Speech Corpora Speech Recognition Speech Synthesis NLP for Language Documentation and Preservation NLP for Educational Purposes NLP for Digital Humanities Social Media Analytics The authors have to submit papers under any of the areas mentioned above and must mark the topic(s) of their paper at the time of submission. FORMAT OF SUBMISSION Papers in English, not exceeding 8 pages, should be submitted on the ONLINE PORTAL at Microsoft CMT. Papers should include an abstract of about 100-200 words. Please follow the paper submission template details described in next section. There are two tracks: one for the main conference and one for the Student Paper Competition. You should select one of these while submitting the paper (not both). Similarly, Choose NLP Software Contest option for sending abstract for it.DOUBLE BLIND REVIEW: Papers in electronic form in the PDF format, anonymous for double blind review, should be submitted. If your paper contains text of languages other than English, all the non English text should be in Unicode only. Paper Submission Template Submission is electronic, using the Microsoft CMT. The submission site is open at: https://cmt3.research.microsoft.com/ICON2018 Long/short paper submissions must use the official ACL 2018 style templates. Long papers must not exceed eight (8) pages of content. Short papers must not exceed four (4) pages of content. References do not count against these limits. LaTeX (acl_natbib.bst updated 18th February) Microsoft Word Style files were updated on 14th April, 2018 to clarify the location of supplementary material. All submissions must be in PDF format and must conform to the official style guidelines, which are contained in these template files. Templates links acl2018.org/downloads/acl18-latex.zip acl2018.org/downloads/acl_natbib.bst acl2018.org/downloads/acl18-word.zip CALL FOR TUTORIALS/WORKSHOPS Proposals are invited for pre-conference tutorials/workshops. Tutorials/Workshops can be of half-day or full-day duration. The proposal should be presented in the form of a 200-word abstract, one page topical outline of the content, description of the proposers and their qualifications relating to the tutorial content. Workshops on linguistic aspects of South Asian languages are also welcome. Send tutorial/workshop proposals to the ICON-2018 Secretariat by email iconnlp at pbi.ac.in . For further information, please refer to the Conference URL or contact the ICON-2018 Secretariat. NLP Software Contest The NLP Software contest, which is being held for first time in ICON, is intended to encourage and promote the development of NLP related software. The researchers, software developers and educators working in development of NLP software are invited to participate in the contest, by submitting a one page abstract of their software. Only independently running complete systems are eligible for the contest. Small Modules or tools developed for NLP Research or integration with larger systems will not be considered. Entries will be selected for inclusion in the conference program based on peer-review. The criteria for judging submissions include broad applicability and potential impact, novelty, technical depth, demo suitability, and other miscellaneous factors. Authors of selected entries will be invited to present and demonstrate their software in a special session in the conference program. To encourage the development of NLP software, the best three software entries, as judged by reviewers and the program committee, will be awarded cash prize as follows: FIRST PRIZE: Rs.10,000/- SECOND PRIZE: Rs.7,500/- THIRD PRIZE: Rs.5,000/- The abstracts for this contest may be submitted at https://cmt3.research.microsoft.com/ICON2018 For any clarifications, contact NLP Software Contest Chair. STUDENT PAPER COMPETITION IN LANGUAGE TECHNOLOGIES ICON-2018 announces STUDENT PAPER COMPETITION in two tracks: Track I : NLP (All areas) Track II : Linguistics (Morphology, Syntax and Semantics) Papers may be submitted under the link on the web page. Prizes will be awarded in each track based on original work carried out. The prizes are: FIRST PRIZE: Rs.10,000/- SECOND PRIZE: Rs.7,500/- THIRD PRIZE: Rs.5,000/- The short-listed papers in each track will be invited for presentation in a special session in the conference. Registration, domestic travel and subsistence expenses will be provided by the conference organizers for one author of each paper. Up to two winners will be offered summer fellowships at major NLP Centres in India. For any clarifications, contact Student Paper Competition Chair on iconnlp at pbi.ac.in IMPORTANT DATES Paper Submission Deadline July 31, 2018 Paper Acceptance Notification Oct 15, 2018 Camera Ready Copy Submission Oct 25, 2018 Tutorial/Workshop Proposals Submission July 31, 2018 Tutorial/Workshop Acceptance Notification Aug 15, 2018 NLP Software Contest Submission Deadline July 31, 2018 NLP Software Contest Acceptance Notificaton Aug 15, 2018 Student Paper Competition Submission Deadline July 31, 2018 Student Paper Acceptance Notification Oct 15, 2018 COMMITTEES Conference General Chair Rajeev Sangal, IIT-BHU, Varanasi, India Programme Chair Gurpreet Singh Lehal, Punjabi University, Patiala, India (Chair) Dipti Misra Sharma, IIIT Hyderabad, India (Co-Chair) NLP Software Contest M. D. Kulkarni, CDAC Pune, India (Chair) Rajeev R.R., ICFOSS Trivendrapuram, India (Co-Chair) Student Paper Competition Sanjay Dwivedi, BBAU (Central University Lucknow), India (Chair) Sarika Jain, NIT Kurukshetra, India (Co-Chair) Organizing Committee Vishal Goyal, Punjabi University Patiala, India Gurpreet Singh Joshan, Punjabi University Patiala, India Tejinder Singh Saini, Punjabi University Patiala, India Ankur Rana, Punjabi University Patiala, India CONTACT INFORMATION ICON-2018 Secretariat Research Centre for Punjabi Language and Technology Punjabi University, Patiala Punjab, Pin-147002, India Mobile: +91-98154-73767 (Dr. G. S. Lehal), +91-95010-96111 (Dr. Vishal Goyal), e-mail: iconnlp[AT]pbi[dot]ac[dot]in URL: http://www.icon2018.in -------------- next part -------------- An HTML attachment was scrubbed... URL: From bruce.graham at stir.ac.uk Wed Jul 18 04:31:33 2018 From: bruce.graham at stir.ac.uk (Bruce Graham) Date: Wed, 18 Jul 2018 08:31:33 +0000 Subject: Connectionists: PhD studentship in contextual information processing In-Reply-To: <1531846861486.23254@stir.ac.uk> References: <1531846861486.23254@stir.ac.uk> Message-ID: <1531902692464.74005@stir.ac.uk> PhD Studentship Cross-Disciplinary Research Programme: ?CONTEXT: Contextual learning and processing in humans and machines? Faculty of Natural Sciences ? Computing Science and Mathematics Applications are invited for a PhD studentship in an interdisciplinary project on context-based machine learning, concerning the explicit use of contextual information in prediction, classification and decision-making algorithms. The PhD will be undertaken in the University of Stirling?s Computing Science and Mathematics Division but with likely co-supervision from a specific application area. The PhD studentship is part of a new cross-faculty, interdisciplinary research programme (RP) called ?CONTEXT: Contextual learning and processing in humans and machines? which concerns understanding and applying principles of contextual guidance in learning and processing of data. It combines research into the role of context in the human neocortex with computational and machine learning. This RP studies context-sensitive learning and processing from three perspectives: neuronal architecture and physiology; health and pathology; and the development of new, robust algorithms for machine learning (ML) for real-world applications. This studentship will investigate the development of such algorithms, with specific application to one or more real-world problems. Potential problem domains include finance, health, social and sports sciences, remote sensing, law and others. Choice of problem may be influenced by the student?s expertise and preference, in consultation with potential co-supervisors. Primary supervision will be in the Data Science research group of the Division of Computing Science and Mathematics, in the Faculty of Natural Sciences. The PhD thus offers a unique opportunity to work with researchers from computing science and mathematics, the cognitive and neurosciences, and application domains, all of whom are committed to the development and deployment of new approaches in machine learning. Further details can be provided by the CONTEXT research programme leader, Professor Bruce Graham from Computing Science and Mathematics (bruce.graham at stir.ac.uk). Financial Support: The studentship is available for three years, and includes a tax?free stipend of approximately ?14,777 p.a. Tuition fees will be met by the University at the home/EU rate. Overseas applicants are required to confirm they can meet the difference between home/EU and overseas tuition fees from their own resources, for the duration of study (Information on tuition fees is available on http://www.stir.ac.uk/postgraduate/financial-information/tuition-fees/.) Subject to a satisfactory progress review at the end of the first year, the studentship will be renewed for a second year and thereafter for a third year. Application requirements: Candidates are expected to have at least a good upper second class honours degree or equivalent in a subject relevant to the field of study and/or a distinction or near distinction in a Master?s degree. An MRes or equivalent degree with a high level of research training content would be an advantage. Applicants should have: * A strong background in computing and mathematics (an understanding of machine learning is highly desirable) * An ability to programme in a high-level computing language (such as Python, C or Java) and/or experience with Matlab (or similar) * An interest in real world applications of machine learning and artificial intelligence * Good numerical and verbal communication skills English language requirements are IELTS 6.5 (with a minimum of 6 in each skill), TOEFL 577/233, or equivalent. Application process: In the first instance students should make a preliminary application by e-mail to pginfo at cs.stir.ac.uk with the subject line: "PhD Studentship in Context-based Machine Learning ". The application must include * a full CV, documenting qualifications and any relevant previous experience and existing skill sets as well as containing contact details for two academic referees; * a covering letter of max 500 words referring in detail to the relevant research area and demonstrating a strong interest in the proposed research, as well as the candidate?s aptitude/skills that make her or him particularly suitable for conducting this research; * copies of your academic transcripts. The CV and covering letter or research proposal will be used to shortlist candidates for interview. The successful candidate must subsequently apply for a place on the university?s PhD programme; the scholarship offer is conditional on the student being accepted for this. Closing date: 24 August 2018 Proposed start: 1 October 2018 Prof. Bruce Graham, Professor of Computing Science and Director of Research Division of Computing Science and Mathematics, Faculty of Natural Sciences University of Stirling, Stirling FK9 4LA Phone: +44 1786 467 432 Fax: +44 1786 464 551 Email: bruce.graham at stir.ac.uk; Web: https://www.stir.ac.uk/people/11067 Coauthor of "Principles of Computational Modelling in Neuroscience", CUP, 2011. Editorial Board of Journal of Biological Dynamics. ________________________________ The University achieved an overall 5 stars in the QS World University Rankings 2018 The University of Stirling is a charity registered in Scotland, number SC 011159. -- The University achieved an overall 5 stars in the QS World University Rankings 2018 The University of Stirling is a charity registered in Scotland, number SC 011159. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mark.humphries at manchester.ac.uk Wed Jul 18 08:39:18 2018 From: mark.humphries at manchester.ac.uk (Mark Humphries) Date: Wed, 18 Jul 2018 12:39:18 +0000 Subject: Connectionists: Fully-funded UK/EU PhD studentship in neural data science, deadline 25th July Message-ID: <7E954275ED82B9468C2C731FB72522F5013E0E7B86@MBXP09.ds.man.ac.uk> A fully-funded EU/UK PhD studentship is available in the lab of Prof Mark Humphries at the University of Nottingham, on a project entitled "Inferring the connectome using voltage imaging". This project will develop computational techniques to accurately infer wiring between neurons from the next generation of imaging techniques that directly record neuron voltages. The project will combine development of algorithms, simulations of neural circuits as test-beds, and analysis of real imaging data from neural populations. For a primer on the problem of finding the wiring between neurons, read our piece here: https://medium.com/the-spike/mindlessly-mapping-the-brain-1dec092a404d Find out more about the lab and its interests here: https://www.humphries-lab.org/ More details, eligibility, and application instructions here: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=97729 Deadline: 25th July 2018 Start date: October 2018 To discuss this or other projects, please contact Prof Mark Humphries (mark.humphries at nottingham.ac.uk). Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience humphries-lab.org [0da17e2a-9ed5-496a-b161-9fd4491ce5c7]@markdhumphries Public blog: https://medium.com/the-spike -------------- next part -------------- An HTML attachment was scrubbed... URL: From mark.humphries at manchester.ac.uk Wed Jul 18 08:46:19 2018 From: mark.humphries at manchester.ac.uk (Mark Humphries) Date: Wed, 18 Jul 2018 12:46:19 +0000 Subject: Connectionists: Postdoc in Machine-Learning for Image Analysis (2 year post) Message-ID: <7E954275ED82B9468C2C731FB72522F5013E0E7BBD@MBXP09.ds.man.ac.uk> A post doc position in Machine Learning for Image Analysis is currently available at MMU (UK), to work with Dr Moi Hoon Yap, Dr Robyn Grant and Dr Tom Allen The post is a 2 year contract. For more details, and to apply, see: https://www.jobs.ac.uk/job/BLF657/research-associate-in-machine-learning/ Deadline: 31st August, 2018 For informal discussion contact Dr Moi Hoon Yap: M.Yap at mmu.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From tj at cs.cornell.edu Wed Jul 18 09:38:55 2018 From: tj at cs.cornell.edu (Thorsten Joachims) Date: Wed, 18 Jul 2018 13:38:55 +0000 Subject: Connectionists: CFP: Offline Evaluation for Recommender Systems @ RecSys 2018 Message-ID: Workshop at ACM RecSys 2018, Vancouver, CA October 7, 2018 https://sites.google.com/view/reveal2018/home One of the main goals of offline metrics for recommender systems is to indicate the future online performance of the same recommender system in an online setting, as measured by various user-based utility metrics, such as the time spent by a user on the website, the number of media items consumed, the number of attributed sales or the reported user satisfaction. However, practitioners often observe significant differences between offline and online results of a new algorithm, and therefore tend to mostly rely on online methods such as A/B testing to evaluate their algorithms. To this end, we welcome contributions that advance the current state of knowledge on offline recommendation metrics that correlate well with the final performance of the online recommender system; or new recommendation algorithms that directly optimize for online metrics. We invite submissions of 2-8 pages to be presented as talks or posters. The reviews will be single-blind. Potential contributions include (but are not limited to): * Framing the problem: what are we trying to solve exactly? This includes work on the theoretical foundations of the recommendation task and on the corresponding offline metrics: * Recommendation as a counterfactual inference problem. This encompasses all work on new offline metrics and new optimization criteria for recommendation using ideas from causal inference, such as: Learning from data Missing Not at Random (MNAR), Counterfactual Risk Minimization (CRM) and Batch Learning from Bandit Feedback (BLBF), Deconvolving recommendation-lead from organic feedback in logged data, Causal Inference using domain adaptation * Recommendation as a reinforcement learning problem. This is aimed to all work that frames recommendation as a reinforcement learning task and that borrows ideas from RL on evaluating recommendation policies, such as the use of simulation in recommender systems evaluation. * Studies on offline-online metrics correlation for Recommendation. * More realistic offline metrics. * Offline metrics for slate recommendation evaluation. * Offline metrics for logged data with sequential recommendation exposure and delayed feedback. * Datasets and toolkits. * New exploration schemes to improve the collection of more informative offline datasets. * Open datasets. All recommendation dataset releases that aim to somehow bridge the gap between offline and online metrics. * Toolkits. Including new software for evaluation metrics, reproducible research and baseline algorithms. Submission deadline: July 28th, 2018 via our CMT website. --- Thorsten Joachims Professor, Cornell University Department of Computer Science Department of Information Science http://www.joachims.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Johan.Suykens at esat.kuleuven.be Wed Jul 18 10:51:52 2018 From: Johan.Suykens at esat.kuleuven.be (Johan Suykens) Date: Wed, 18 Jul 2018 16:51:52 +0200 Subject: Connectionists: PhD and Postdoc positions KU Leuven: Optimization frameworks for deep kernel machines In-Reply-To: References: Message-ID: <1df51962-a5a8-6351-a220-f1e6a2b52c1a@esat.kuleuven.be> PhD and Postdoc positions KU Leuven: Optimization frameworks for deep kernel machines The research group KU Leuven ESAT-STADIUS is currently offering 2 PhD and 1 Postdoc (1 year, extendable) positions within the framework of the KU Leuven C1 project Optimization frameworks for deep kernel machines (promotors: Prof. Johan Suykens and Prof. Panos Patrinos). Deep learning and kernel-based learning are among the very powerful methods in machine learning and data-driven modelling. From an optimization and model representation point of view, training of deep feedforward neural networks occurs in a primal form, while kernel-based learning is often characterized by dual representations, in connection to possibly infinite dimensional problems in the primal. In this project we aim at investigating new optimization frameworks for deep kernel machines, with feature maps and kernels taken at multiple levels, and with possibly different objectives for the levels. The research hypothesis is that such an extended framework, including both deep feedforward networks and deep kernel machines, can lead to new important insights and improved results. In order to achieve this, we will study optimization modelling aspects (e.g. variational principles, distributed learning formulations, consensus algorithms), accelerated learning schemes and adversarial learning methods. The PhD and Postdoc positions in this KU Leuven C1 project (promotors: Prof. Johan Suykens and Prof. Panos Patrinos) relate to the following possible topics: -1- Optimization modelling for deep kernel machines -2- Efficient learning schemes for deep kernel machines -3- Adversarial learning for deep kernel machines For further information and on-line applying, see https://www.kuleuven.be/personeel/jobsite/jobs/54740654" (PhD positions) and https://www.kuleuven.be/personeel/jobsite/jobs/54740649" (Postdoc position) (click EN for English version). The research group ESAT-STADIUS http://www.esat.kuleuven.be/stadius at the university KU Leuven Belgium provides an excellent research environment being active in the broad area of mathematical engineering, including data-driven modelling, neural networks and machine learning, nonlinear systems and complex networks, optimization, systems and control, signal processing, bioinformatics and biomedicine. From tat at tchumatchenko.de Wed Jul 18 14:44:48 2018 From: tat at tchumatchenko.de (Tatjana Tchumatchenko) Date: Wed, 18 Jul 2018 20:44:48 +0200 Subject: Connectionists: Summer school on the Logistics of Neuronal Function Message-ID: Please encourage your postdocs and students to register for our summer school on the Logistics of Neuronal Function https://indico.fias.uni-frankfurt.de/event/11/page/0 This year's Giersch Summer School on the Logistics of Neuronal Function will be held from August 28 to September 7, 2018 at FIAS in Frankfurt, in conjunction with the 3rd Giersch International Symposium. The school is for senior PhD students and postdocs. An exciting 2-week program awaits the participants of the summer school. In the first week they participate in the symposium "The Logistics of Neuronal Function". There they have the opportunity to get to know the experts of the area and to learn from them. The second week is followed by a classic school program where participants can develop and deepen their skills. Leading experts will teach experimental, theoretical, and methodological fundamentals regarding how neurons solve their logistics challenges. Travel Support and Fees Thanks to our donor, the Giersch Foundation, we can waive participation fees and also grant our participants a travel allowance. Tatjana -- Dr. Tatjana Tchumatchenko Research group leader Head of group Theory of Neural Dynamics Max Planck Institute for Brain Research Max-von-Laue-Str 4 60438 Frankfurt am Main, Germany www.brain.mpg.de/research/theory-of-neural-dynamics-group.html From m.plumbley at surrey.ac.uk Fri Jul 20 10:49:53 2018 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Fri, 20 Jul 2018 14:49:53 +0000 Subject: Connectionists: CfP: DCASE 2018 Workshop, 19-20 Nov 2018 - Submission Deadline: 31 July Message-ID: Dear Connectionists, For people working on applications to sound analysis, the submission system for the DCASE 2018 Workshop is open until 31 July. Please feel free to forward to anyone who may be interested. Best wishes, Mark Plumbley ------------------- DCASE 2018 Workshop on Detection and Classification of Acoustic Scenes and Events 19-20 November 2018, Woking, Surrey, UK ** Paper submission: 31 July 2018 ** http://dcase.community/workshop2018/ DCASE 2018 Workshop is the third workshop on Detection and Classification of Acoustic Scenes and Events, being organized for the third time in conjunction with the DCASE challenge. We aim to bring together researchers from many different universities and companies with interest in the topic, and provide the opportunity for scientific exchange of ideas and opinions. The technical program will include invited speakers on the topic of computational everyday sound analysis and recognition, and oral and poster presentations of accepted papers. In addition, a special poster session will be dedicated to the DCASE 2018 challenge entries. The results of the Detection and Classification of Acoustic Scenes and Events (DCASE) challenge 2018 will also be announced at the workshop. ** Call for papers ** We invite submissions on the topics of computational analysis of acoustic scenes and sound events, including but not limited to: Tasks in computational environmental audio analysis - Acoustic scene classification - Sound event detection and localization - Audio tagging - Challenges in real-life applications (e.g., rare events, overlapping sound events, weak labels) Methods for computational environmental audio analysis - Signal processing methods - Machine learning methods - Auditory-motivated methods - Cross-disciplinary methods involving, e.g., acoustics, biology, psychology, geography, materials science, transports science Resources, applications, and evaluation of computational environmental audio analysis - Publicly available datasets or software, taxonomies and ontologies, evaluation procedures - Ethics, privacy, responsible research - Applications - Description of systems submitted to the DCASE 2018 Challenge ** Submission ** Papers are to be formatted as 4+1 pages. Papers are maximum 5 pages, including all text, figures, and references, with the 5th page containing only references. For paper templates and instructions on how to submit, see http://dcase.community/workshop2018/author-instructions and http://dcase.community/workshop2018/submission ** Venue ** WWF Living Planet Centre, Woking, Surrey, UK ** Important dates: Paper submission: 31 July 2018 Notification of acceptance: 17 Sept 2018 Workshop: 19-20 November 2018 ** Chairs General Chairs Mark Plumbley, University of Surrey, UK Christian Kroos, University of Surrey, UK Program Chairs Ga?l Richard, T?l?com ParisTech, France Juan Pablo Bello, New York University, USA ** More information http://dcase.community/workshop2018/ dcase.workshop at gmail.com ====================================================== -- 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 From bjoern.kindler at kip.uni-heidelberg.de Mon Jul 23 06:47:22 2018 From: bjoern.kindler at kip.uni-heidelberg.de (Bjoern Kindler) Date: Mon, 23 Jul 2018 12:47:22 +0200 Subject: Connectionists: 3 PhD positions in the research group working on neuromorphic computing open at Heidelberg University, Germany Message-ID: Ruprecht-Karls-Universita?t Heidelberg PhD positions in the field of neuromorphic computing The Kirchhoff-Institute at the Department of Physics and Astronomy has immediate openings for 3 PhD positions in the research group working on neuromorphic computing. The group carries out research on novel information processing systems that represent electronic physical models of neural circuits. The research is aimed at emulating principles of information processing found in biology and at a transfer of these principles to a more biologically grounded approach to artificial intelligence. Specifically, successful candidates will design, set up and run experiments on the BrainScaleS system currently operated as part of the EU funded Human Brain Project. Possible experiments include stochastic computation, reverse-engineered neural microcircuits, pattern detection in the space and time domain and multi-agent systems. Successful research requires a broad technical skill set including the use and further development of large software packages, an understanding of analog and digital electronic signal processing and the ability to work with a complex experimental set-up. A strong interest in contributing to tool development as well as the dedication to achieve ground-breaking research results in a novel approach to information processing are required. Information about the group and the BrainScaleS systems can be found at the relevant online resources. For specific information contact the work group leader Karlheinz Meier. Candidates should hold an M.A. degree (or equivalent) in physics or related fields with very good grades. Fluency in both, spoken and written English is required. Positions will initially be limited to 3 years with the possibility of a 1 year extension. Remuneration is according to the German TV-L salary scheme. Applications can be submitted via https://www.kip.uni-heidelberg.de/vision/jobs/apply-for-phd/ The offer will be open until all positions are filled. Heidelberg University has the strong intention to increase the number of women amongst its academic personnel and expressly encourages qualified women to apply. Preference will be given to disabled applicants with equal qualifications. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bjoern.kindler at kip.uni-heidelberg.de Mon Jul 23 06:43:36 2018 From: bjoern.kindler at kip.uni-heidelberg.de (Bjoern Kindler) Date: Mon, 23 Jul 2018 12:43:36 +0200 Subject: Connectionists: Full Professorship for Neuromorphic Computing with emphasis on the underlying theoretical principles now open at Heidelberg University Message-ID: Full Professorship for Neuromorphic Computing (W3) The Department of Physics and Astronomy at Heidelberg University, Germany, invites applications for a Full Professorship for Neuromorphic Computing (W3) The position will be hosted at the Kirchhoff Institute for Physics. We are searching for a scientist with a strong interest and proven research record in the theoretical principles underlying neuromorphic computation. Specific areas of research include, but are not limited to computation with stochastic processes, mechanisms of self-organization and learning, biophysical models of information processing in neural cells and networks, multi-scale theories of neural circuits, brain-inspired theories of machine learning and the development of common approaches with the theory of complex many-particle systems. A close collaboration with the existing experimental group working on electronic implementations of neuromorphic physical models in non-von Neumann computer architectures is expected. The successful candidate will take an active role in establishing the scientific program of the new European Institute for Neuromorphic Computing (EINC), which will move into a dedicated building in 2020. Heidelberg is a leading German research university offering a thriving research community with ample opportunities for collaboration, including the Institute for Theoretical Physics (ITP), the Interdisciplinary Center for Scientific Computing (IWR), the Institute for Computer Engineering (ZITI), the Center for Quantum Dynamics (CQD), the Center for Advanced Materials (CAM) and many others. The successful candidate is expected to participate in the bachelor and master teaching programs of the Department of Physics and Astronomy in accordance with the usual University obligations. Prerequisites for application are a university degree and (in accordance with Article 47, paragraph 2 of the Higher Education Law of the State of Baden-W?rttemberg) a Habilitation, a successfully evaluated junior professorship or equivalent qualification. The University of Heidelberg seeks to achieve a higher proportion of women in areas where they have not been adequately represented so far. Women with the required qualification are particularly encouraged to apply. Preference will be given to disabled applicants with equal qualifications for the position. Qualified candidates are invited to submit their application including CV, a list of publications, a list with teaching experience and a research plan in electronic form (pdf) until 15.10.2018 to the Dean, Prof. Dr. H.-C. Schultz-Coulon, Department of Physics and Astronomy, Im Neuenheimer Feld 226, D-69120 Heidelberg (dekanat at physik.uni-heidelberg.de). URL: https://adb.zuv.uni-heidelberg.de/info/INFO_FDB$.startup?MODUL=LS&M1=1&M2=0&M3=0&PRO=25744 -------------- next part -------------- An HTML attachment was scrubbed... URL: From luca.oneto at unige.it Mon Jul 23 07:31:46 2018 From: luca.oneto at unige.it (Luca Oneto) Date: Mon, 23 Jul 2018 13:31:46 +0200 Subject: Connectionists: INNSBDDL2019 - Call For Paper / Workshop / Tutorials Message-ID: Apologies for cross-posting. Kindly help to distribute this call to your mailing list. INNS BIG DATA AND DEEP LEARNING 2019 SESTRI LEVANTE, GENOA, ITALY, 16-18 APRIL 2019 HTTPS://INNSBDDL2019.ORG/ WEBSITE https://innsbddl2019.org/ VENUE & ORGANIZATION The 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) conference will be held in Sestri Levante, Italy, April 16?18, 2019. The conference is organized by the International Neural Network Society, with the aim of representing an international meeting for researchers and other professionals in Big Data, Deep Learning and related areas. It will feature invited plenary talks by world-renowned speakers in the area, in addition to regular and special technical sessions with oral and poster presentations. Moreover, workshops and tutorials will also be featured. IMPORTANT DATES Deadline for submission of tutorial and workshop proposals: August 31, 2018 Notification of tutorial and workshop proposals: September 30, 2018 Deadline of full paper submission: October 31, 2018 Notification of paper acceptance: December 31, 2018 Camera-ready submission: January 31, 2019 Early registration deadline: January 15, 2019 Registration deadline: January 31, 2019 Conference date: April 16-18, 2019 SCOPE We solicit both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations in any aspect of Big Data and Deep Learning. Both theoretical and practical results are welcome. Example topics of interest includes but is not limited to the following: Big Data Science and Foundations - Novel Theoretical Models for Big Data - New Computational Models for Big Data - Data and Information Quality for Big Data Big Data Mining - Social Web Mining - Data Acquisition, Integration, Cleaning, and Best Practices - Visualization Analytics for Big Data - Computational Modeling and Data Integration - Large-scale Recommendation Systems and Social Media Systems - Cloud/Grid/StreamData Mining - Big Velocity Data - Link and Graph Mining - Semantic-based Data Mining and Data Pre-processing - Mobility and Big Data - Multimedia and Multi-structured Data-Big Variety Data Modern Practical Deep Networks - Deep Feedforward Networks - Regularization for Deep Learning - Optimization for Training Deep Models - Convolutional Networks - Sequence Modeling: Recurrent and Recursive Nets - Practical Methodology Deep Learning Research - Linear Factor Models - Autoencoders - Representation Learning - Structured Probabilistic Models for Deep Learning - Monte Carlo Methods - Confronting the Partition Function - Approximate Inference - Deep Generative Models PROCEEDINGS & SPECIAL ISSUE Works submitted as a regular paper will be published in a serie indexed by Scopus. Submitted papers will be reviewed by some PC members based on technical quality, relevance, originality, significance and clarity. At least one author of an accepted submission should register to present their work at the conference. Selected papers presented at INNS BDDL 2019 will be included in special issues of top journals in the field (prospected journals: Big Data Research, Transaction on Neural Networks and Learning System, Neurocomputing, etc). -------------- next part -------------- An HTML attachment was scrubbed... URL: From marc.toussaint at informatik.uni-stuttgart.de Mon Jul 23 14:22:26 2018 From: marc.toussaint at informatik.uni-stuttgart.de (Marc Toussaint) Date: Mon, 23 Jul 2018 14:22:26 -0400 Subject: Connectionists: PhD and Postdoc positions in AI & Robotics @ Univ. Stuttgart Message-ID: <2eb2c259-f8bd-c157-d3dc-3b5085af0faf@informatik.uni-stuttgart.de> We have several fully funded PhD or Postdoc positions open in our Machine Learning & Robotics Lab, Univ. of Stuttgart, Germany. Applicants should be enthusiastic about bringing AI to real-world robotic systems. We aim to see physical reasoning, coping with uncertainty, sample-efficient learning, and learning from/interacting with humans happening online on real systems. Training from huge data in simulations is fair as a means, but not the goal of our research. Applicants should have a strong background in AI or robotics, covering at least parts of the foundations in optimization, machine learning, probabilistic reasoning, AI reasoning, robot control, motion planning, or computer vision. Strong background on the application and coding side (ROS, robotics) are also beneficial. If you are interested, please contact me and send me your applications: For a PhD position, reply to this email with an informal email that includes up to 3 links to any kinds of papers or reports you have written so far, in particular your BSc and MSc theses or even peer-reviewed publications. Please also attach grade sheets (list of courses and grades) for all places you've studies so far. An application letter or full CV is not necessary. In a second round we get back to you for more information. For a postdoc position, reply to this email with an informal email that includes links to your webpage or publication list (e.g. Google Scholar), and 3 links to selected publications or your PhD thesis. An application letter or CV is not necessary. Payment will be according to the German TVL E-13 or E-14 payment scheme. Please contact me if you have any further questions. Best, Marc -- Marc Toussaint http://ipvs.informatik.uni-stuttgart.de/mlr/marc/index.html From cristobal.nettle at gmail.com Mon Jul 23 12:06:52 2018 From: cristobal.nettle at gmail.com (Cristobal Jesus Nettle Vacher) Date: Mon, 23 Jul 2018 12:06:52 -0400 Subject: Connectionists: CRoNe2018: 2nd CFP - Paper Submission deadline August 10, 2018 Message-ID: CRoNe2018 is a focused, multidisciplinary event part of the Latin American Robotics Week organized by the Innovation and Robotics Students group at UTFSM. CRoNe is a meeting point for people from engineering, human and biological sciences for developing and understanding complex intelligent systems. During its 4th version, the Congress on Robotics and Neuroscience will be focused on four different areas: - *Development of meaning*: with approaches from Developmental Robotics, Machine Learning, and Brain-based theories. - *Predictive coding for cognitive development*: introducing analyses from Neuroscience, Computational Neuroscience, and AI. - *Multimodal cognition*: under neuroscientific and psicological scopes. - *Experimental analyses and methodologies*: presenting novel methodologies for closed-loop brain training, brain functional connectivity analyses and Machine Learning applications. The Congress considers 3 introductory workshops to be defined, related to one or more of the previously detailed areas. Some confirmed speakers: *Yukie Nagai*, *Wael El-Deredy*, *Lorena Lobo*, *Marley Vellasco*, *Ranganatha Sitaram*, among others. *IMPORTANT DATES * =========== - Abstract submission: August 10, 2018 - Paper submission: August 30, 2018 - Paper acceptance: October 10, 2018 - Early registration: October 15, 2018 - Conference dates: November 15 to 17, 2018. *SUBMISSIONS* *Conference Proceedings and Poster Session* =========== All applications must be submitted through: https://easychair.org/conferences/?conf=crone2018 Submitted works must be original, and formatted according to: Abstract: The maximum length is 1500 characters. Paper: A minimum extension of 5 pages*. A maximum extension of 7 pages. Uploaded in PDF (.pdf) format. Must follow this one-column Latex template: https://www.overleaf.com/latex/templates/crone-latex-template/hqrcmcthyzfj Submissions will be peer-reviewed. Selected contributions will be presented in a poster session during the Congress. *A paper not meeting the minimum extension, but determined as interesting and relevant by the editors, could still be included as an invited work. *TOPICS OF INTEREST * =========== Topics for submissions include, but are not limited to: - Cognitive Sciences Computational cognitive systems Cognitive development Cognitive neuroscience Augmented cognition Artificial perception Language and action development Reasoning, Inference and Planning Sensory substitution - Computational Neuroscience Structural and Functional models for connectivity Computational modelling of micro, meso and macroscopic neural networks Network analysis Novel physiological insights based on CN models Neural coding Plasticity - Representation Learning for Human and Robots Knowledge representation and reasoning Neurosymbolic computing Human Behaviour Modeling Affordances Crossmodal learning - Robotics and AI Developmental Robotics Collaborative Robotics Human-Robot Interaction Affective Computing Deep learning Evolving deep networks Transfer learning in deep learning Bio-inspired robotics Reinforcement Learning Robotic and Virtual Embodiment Applications Robotic-Assisted Rehabilitation Performance metrics and benchmarking Applications on Healthcare, Media and Entertainment, Manufacturing, Natural Resources, Government, Etc. *PUBLICATION* ======== CRoNe2018 proceedings shall be submitted to CEUR-WS.org for online publication, an OPEN, recognized ISSN publication series. The proceedings ebook for the Congress considers an ISBN identification. *VENUE* ======== The conference will be held at Universidad T?cnica Federico Santa Mar?a, in Valpara?so, Chile. Immerse in a World Heritage Seaport City, this University has more than 85 years of activities in research and education. Valpara?so by itself is a colored city with a natural amphitheater-like setting with impressive open views, characterized by a vernacular urban fabric adapted to the hillsides; and, is a neighbor city of the tourist capital of Chile, Vi?a del Mar, which is located 5 minutes from the conference location. Other magnificent touristic destinations, as the Atacama Desert, the Easter Island, or the millennial glaciers and waterfalls from Torres del Paine are at one local flight away. *CONTACT* =========== All questions about the Congress, including submission, registration or any other event information, should be emailed to crone at innovacionyrobotica.com. Kind regards, Crist?bal Nettle V. Robotics and Innovation Center http://innovacionyrobotica.com/~cristobal.nettle -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CRoNe2018CFP.pdf Type: application/pdf Size: 6173531 bytes Desc: not available URL: From ioana at us.ibm.com Mon Jul 23 11:21:11 2018 From: ioana at us.ibm.com (Ioana Baldini) Date: Mon, 23 Jul 2018 15:21:11 +0000 Subject: Connectionists: Call for papers: AAAI Fall Symposium 2018 - Gathering for AI and Natural Systems Message-ID: An HTML attachment was scrubbed... URL: From axel.soto at cs.uns.edu.ar Mon Jul 23 15:52:11 2018 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Mon, 23 Jul 2018 16:52:11 -0300 Subject: Connectionists: ACM Intelligent User Interfaces (IUI 2019): Call for tutorial proposals Message-ID: CALL FOR TUTORIAL Proposals To be presented at the 23rd International Conference on Intelligent User Interfaces (IUI 2019) Los Angeles, CA, USA March 17 - 20, 2019 http://iui.acm.org/ ========================================================================= IUI 2019 is pleased to invite tutorial proposals. Tutorials offer the community an opportunity to learn about the state-of-the-art concepts and techniques and allow the presenters to share their expertise. We invite proposals from active researchers and practitioners, and experienced presenters. Ideally, a tutorial will cover the state-of-the-art research and development in a specific area strongly related to IUI. Tutorials on interdisciplinary areas, novel or fast growing directions, and significant practical applications are also encouraged. Tutorials will be held in auditoriums with a screen, projector, and Internet connection. Presenters are expected to bring their own computer. =============== PROPOSAL FORMAT =============== Each tutorial proposal should provide the following information: - Name and title: Your name, the tutorial title and the expected length of your tutorial (preferably half a day, i.e. 2 sessions on 90 minutes each). - Description of tutorial topic and goal: Detailed outline of the tutorial, along with descriptions of the objectives, its relevance to IUI, benefits to the attendees, and course materials/handouts (links to online materials encouraged). - Organizers: Name, email address, and affiliation of each presenter. Note that each listed presenter must register for the conference and be present at the tutorial. - Target audience and prerequisites: Target audience level (introductory, intermediate, advanced) and prerequisite knowledge or skills. - Experience: Tutors' short bios and their expertise related to the tutorial, including history of previously given tutorials. - Equipment and software requirement: please list any that will be needed. - History of prior similar tutorials given by the presenter(s). Additional guidelines: ---------------------- The proposals should be PDF documents not exceeding 3 pages, submitted by e-mail to the tutorial chairs at: tutorials2019 at iui.acm.org We encourage prospective presenters to contact the tutorial chairs in advance and discuss their tutorial ideas. =============== IMPORTANT DATES =============== Discuss your topic with the tutorial chairs: ASAP (tutorials2019 at iui.acm.org) Proposals due: August 14, 2018 Decisions Sent: September 14, 2018 Tutorial date: TBA ================== TUTORIAL CO-CHAIRS ================== Christoph Trattner, University of Bergen, Norway Denis Parra, Pontifical Catholic University, Chile Nathalie Riche, Microsoft Research From hpu at create.aau.dk Mon Jul 23 16:47:26 2018 From: hpu at create.aau.dk (Hendrik Purwins) Date: Mon, 23 Jul 2018 22:47:26 +0200 Subject: Connectionists: CfP: Machine Learning for Audio, IEEE J-STSP Special Issue Message-ID: Apologize for multiple postings Call for Papers: IEEE Journal of Selected Topics in Signal Processing (J-STSP) Special Issue on Data Science: Machine Learning for Audio Signal Processing Audio signal processing is currently undergoing a paradigm change, where data-driven machine learning is replacing hand-crafted feature design. This has led some to ask whether audio signal processing is still useful in the "era of machine learning." There are many challenges, new and old, including the interpretation of learned models in high dimensional spaces, problems associated with data-poor domains, adversarial examples, high computational requirements, and research driven by companies using large in-house datasets that is ultimately not reproducible. This special issue aims to promote progress, systematization, understanding, and convergence of applying machine learning in the area of audio signal processing. Specifically, we are interested in work that demonstrates novel applications of machine learning techniques in the area of sound and music signal processing, as well as methodological considerations of merging machine learning with audio signal processing. We seek contributions in, but not limited to, the following topics: ??? - audio information retrieval using machine learning; ??? - audio synthesis with given contextual or musical constraints using machine learning; ??? - audio source separation using machine learning; ??? - audio transformations (e.g., sound morphing, style transfer) using machine learning; ??? - unsupervised learning, online learning, one-shot learning, reinforcement learning, and incremental learning for audio; ??? - applications/optimization of generative adversarial networks for audio; ??? - cognitively inspired machine learning models of sound cognition; ??? - mathematical foundations of machine learning for audio signal processing. ??? This call addresses audio signal processing for speech, acoustic scenes, and music. Prospective authors should follow the instructions given on the IEEE JSTSP webpages: https://signalprocessingsociety.org/publications-resources/ieee-journal-selected-topics-signal-processing and submit their manuscript with the web submission system at: https://mc.manuscriptcentral.com/jstsp-ieee Important Dates: ??? Submission deadline: October 1, 2018 ??? 1st review completed: December 1, 2018 ??? Revised manuscript due: February 1, 2019 ??? 2nd review completed: March 1, 2019 ??? Final Manuscript due: April 1, 2019 ??? Publication: May, 2019 Guest Editors: ??? - Abeer Alwan, University of California Los Angeles, USA (alwan at ee.ucla.edu) ??? - Bo Li, Google, USA (boboli at google.com) ??? - Juhan Nam, Korea Advanced Institute of Science and Technology, Korea (juhannam at kaist.ac.kr) ??? - Hendrik Purwins, Aalborg University Copenhagen, Denmark (hpurwins at gmail.com) ??? - Ariya Rastrow, Amazon, USA (arastrow at amazon.com) ??? - Bob L. Sturm, KTH Royal Institute of Technology, Sweden (b.sturm at qmul.ac.uk) -- Dr. Hendrik Purwins, Associate Professor, Dipl.-Math. Technical Faculty of IT and Design Aalborg University Copenhagen http://homes.create.aau.dk/hpu/ From timvogels at gmail.com Mon Jul 23 18:32:12 2018 From: timvogels at gmail.com (Tim Vogels) Date: Tue, 24 Jul 2018 00:32:12 +0200 Subject: Connectionists: DEADLINE TOMORROW: IBRO Simons Computational Neuroscience Imbizo 2019 - call for applications Message-ID: <7126D2C1-CEA0-4F3F-BC94-77CAA9E25F74@gmail.com> Dear all, I?d like to remind you that the deadline for next year's IBRO-Simons computational neuroscience imbizo is TOMORROW Tell your friends, and tell your students, especially your African students, as we are still lacking a proper pipeline to disseminate this information. The Imbizo is a summer school in computational neuroscience and machine learning, hosted January 6th - 27th 2019 in Cape Town, South Africa. We are generously sponsored by the International Brain Research Organisation (IBRO) and the Simons Foundation (Simons). TO APPLY visit https://imbizo.africa IF YOU ARE NOT SURE WHETHER YOU CAN AFFORD IT, BY ALL MEANS, APPLY. We have generous merit-based awards and stipends to give away!! The Imbizo is designed to introduce students with backgrounds in analytic fields (computer science, statistics, physics, mathematics, engineering, etc.) to the field of computational neuroscience. It will also benefit advanced experimental biologists who would like to learn more computational skills. It also provides an opportunity for students already working in computational neuroscience to do 3 weeks of intensive, focused work in a different sub-topic of the field. Students should generally be at Masters/early PhD level, and have completed at least a 2nd-year university level course in computer science, statistics, physics or mathematics. Some coding experience will also be helpful. More advanced level students (post-Docs, early career PIs) may also be accepted if they can motivate how the courses at the Imbizo could help their career. Well motivated, exceptional undergraduates will also be considered. African students are especially encouraged to apply. The faculty for 2019 include: Dora Angelaki (Bayor College, Houston) Demba Ba (Harvard Uni, Boston) Sophie Den?ve (ENS, Paris) Adrienne Fairhall (Univ of Washington, Seattle) Peter Latham (Univ College London) Timothy Lillicrap (Google Deepmind, London) Joseph Raimondo (Univ of Cape Town) Athanassia Papoutsi (IMBB-FORTH, Hellas) Srikanth Ramaswami (EPFL, Lausanne) Blake Richards (Univ Toronto) Andrew Trevelyan (Newcastle Univ., Newcastle) Misha Tsodyks (Weizmann Inst., Rehovot) Tim Vogels (Oxford) Byron Yu (Carnegie Mellon Univ, Pittsburgh) TO APPLY visit https://imbizo.africa "Imbizo" is an isiXhosa word, meaning "A gathering to share knowledge". The aim of the isiCNI is exactly this: to create an environment in which young African and international students can explore computational neuroscience together, forming strong friendships in the process. Three weeks of intensive lectures, tutorials, projects and fun! Who should apply? The Imbizo is designed to introduce students with backgrounds in analytic fields (computer science, statistics, physics, mathematics, engineering, etc.) to the field of computational neuroscience. It will also benefit advanced experimental biologists who would like to learn more computational skills. It also provides an opportunity for students already working in computational neuroscience to do 3 weeks of intensive, focused work in a different sub-topic of the field. Students should generally be at Masters/early PhD level, and have completed at least a 2nd-year university level course in computer science, statistics, physics or mathematics. Some coding experience will also be helpful. More advanced level students (post-Docs, early career PIs) may also be accepted if they can motivate how the courses at the Imbizo could help their career. Well motivated, exceptional undergraduates will also be considered. African students are especially encouraged to apply. What does it cost? The attendance fee for the isiCNI2019 is EUR 1,100.00. Thanks to our generous sponsors, significant bursaries are available to subsidise and waiver student fees, and provide some travel bursaries. Funding will be allocated according to need and merit. Please be sure to complete the relevant section of the application. IF YOU ARE NOT SURE WHETHER YOU CAN AFFORD IT, BY ALL MEANS, APPLY. We have generous merit-based awards and stipends to give away!! Best wishes Tim Vogels ------------------ Dr Tim Vogels Sir Henry Dale Research Fellow, Associate Professor Centre for Neural Circuits and Behaviour Department of Physiology, Anatomy & Genetics University of Oxford Mansfield Road Oxford, OX1 3SR +44 (0) 1865 612 712 http://cncb.ox.ac.uk vwww.vogelslab.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From james.rankin at gmail.com Tue Jul 24 08:26:51 2018 From: james.rankin at gmail.com (James Rankin) Date: Tue, 24 Jul 2018 13:26:51 +0100 Subject: Connectionists: Postdoc in Computational and Mathematical Neuroscience (closing 29 July; EPSRC funded) Message-ID: **closes soon*, on 29 July* *Postdoctoral Research Fellow in Computational and Mathematical Neuroscience* Location: College of Engineering, Mathematics, Physical Sciences at the University of Exeter (Streatham Campus) Job reference: P62935 Application closing date: *29/07/2018* Interview date: *10/08/2018* Salary From ?34,520 on Grade F, dependent on knowledge, skills and experience This new full-time post is available from *1st October 2018* on a fixed term contract basis for *2 years*. The College of Engineering, Mathematics and Physical Sciences, wishes to recruit a Postdoctoral Research Fellow to participate in the project Neural oscillator network modelling of auditory stream segregation. This EPSRC funded post is available from 01/10/2018 for 2 years. The successful candidate will join the Systems Biomedicine and Dynamical Systems research groups housed in the recently launched GBP 50m Living Systems Institute at the University of Exeter. These groups house over 50 researchers applying mathematical and computation approaches to study problems in neuroscience, biology and healthcare. The project will benefit from input from colleagues with expertise in neural networks, bifurcation theory, coupled oscillators and numerical methods. The Post: The project will involve developing mathematical and computational models to deepen our understanding of auditory stream segregation. This is a fundamental process in the auditory system that allows us to separate out and focus on distinct sound streams (e.g. voices) in a dynamic noisy environment. This process involves competition in order to resolve different interpretations of a given environment (e.g. different groupings of objects). Many aspects of this process are still not well understood, such as where in the brain segregation of streams is achieved, how the streams are encoded and the driving neural mechanisms. This project will develop a biologically motivated model inspired by a broad cross section of modelling and experimental literature (from anatomical, neurophysiological, brain imaging and behavioural experiments). The models developed will be based on networks of coupled neural oscillators. Neural oscillations are understood to be vital for the encoding of temporal information in auditory streaming. Dynamical systems theory including bifurcation analysis and numerical methods will provide the necessary tools to understand the dynamics of the models developed. About you: - Candidates with quantitative backgrounds (Mathematics, Physics, Engineering) and from Neuroscience programmes with a strong computational component are encouraged to apply. - Applicants will possess a PhD or equivalent in one of these areas or a related field. T - You will also be able to work collaboratively and supervise the work of others. - Programming experience in a high-level language (e.g. Matlab, Python, C/C++) is a must and knowledge of dynamical systems theory is a plus. - Experience working on interdisciplinary projects involving the application of mathematical and computational tools to problems in Biology or Neuroscience will be viewed favourably. The University offers some fantastic benefits including 41 days leave per year, options for flexible working, numerous discounts at leading retailers, onsite gym, cycle to work scheme, sector leading policies around maternity, adoption and shared parental leave (up to 26 weeks full pay), paternity leave (up to 6 weeks full pay), and a new Fertility Treatment Policy; and a stunning campus environment in the heart of Exeter. If you are not currently in Exeter please have a look at our website for some further information on what a beautiful part of the country we are based in. *For further information, please contact Dr James Rankin, email j.a.rankin at exeter.ac.uk * https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/ETREC1 07GF.open?VACANCY_ID=258266M3V7&WVID=3817591jNg http://emps.exeter.ac.uk/mathematics/staff/jar226 The University of Exeter is an equal opportunity employer. We are officially recognised as a Disability Confident employer and an Athena Swan accredited institution. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce. -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.jaeger at jacobs-university.de Tue Jul 24 10:47:36 2018 From: h.jaeger at jacobs-university.de (Herbert Jaeger) Date: Tue, 24 Jul 2018 16:47:36 +0200 Subject: Connectionists: CfP reminder: Cognitive Computing - Merging Concepts with Hardware (Herbert Jaeger) Message-ID: <3bf3c989-f258-b16c-d4bc-df0ac0ffd107@jacobs-university.de> - - - Call for Abstracts: Deadline Approaching: July 31 - - - Given that many of us are in mid-year vacation mode, I think it is not a stupid thing to send out this reminder of approaching deadlines for this unconventional conference announced below -> 2-page abstracts: July 31 -> registration for participation: September 30 Herbert Jaeger - - - ... and here is the original CfP again: ... - - - COGNITIVE COMPUTING: MERGING CONCEPTS WITH HARDWARE December 18-20, 2018, Hannover, Germany http://www.cognitive-comp.org/ ** An interdisciplinary networking event / scientific conference ** We would like to draw your attention to a slightly unorthodox scientific community event that could be realized with the generous support from the Volkswagen Foundation, Germany?s largest private organization for the advancement of scientific research. The aim of this event is to work towards a general, productive, and rigorous theory of ?computing? in non-digital, nonlinear physical substrates. Biological brains and unconventional computing machines would become understandable as different instantiations of the same underlying principles. Three scientific communities, namely ? cognitive and computational neurosciences, ? theory of computation, and ? nonlinear materials, devices and systems have since long been exploring diverse facets of such principles of non-digital computing. But differences in terminology, discipline-specific objectives and a scattered spectrum of formal methods have handicapped cross-fertilization. Everything in this conference is geared toward stimulating linkages between these fields: ? single-track with rather few, rather long oral presentations, ? long break and poster session times for person-to-person talking, ? keynote and plenary speakers of interdisciplinary renown, ? a limited (200) number of participants, ? a splendid setting in the Castle of Herrenhausen, a heritage of the Kings of Hannover, with adjoining hectares of classical French gardening. Invited speakers: ? Kwabena Boahen, Stanford University ? Joanna J. Bryson, Univ. of Bath and Princeton University ? Chris Eliasmith, University of Waterloo ? Edward A. Lee, UC Berkeley ? Demetri Psaltis, EPFL Lausanne ? Pieter Roelfsema, Vrije Universiteit Amsterdam & Netherlands Institute for Neuroscience ? Susan Stepney, University of York ? Ipke Wachsmuth, University of Bielefeld ? David Wolpert, Santa Fe Institute We solicit the submission of 2-page abstracts, with themes oriented toward our five topical sessions: ? applications of unconventional computing systems, ? theoretical concepts and mathematical foundations, ? neuromorphic hardware, ? novel physical substrates, ? guides from neuroscience for computing technologies, encouraging survey / introductory / didactic contributions (besides the standard discipline-specific result reports which are also possible). Detailed information can be found on http://www.cognitive-comp.org/ and in the Call for Abstracts that is posted there. Timelines: ? Abstract submission: July 31 ? Notification of acceptance: September 30 ? Final abstract for online publication: October 31 Registration fees: ? Students (incl. PhD students): 150 Euro ? Others (academic): 300 Euro ? Industry: 900 Euro Contributors of accepted oral presentations will be exempted from fees and will receive travel refunding. The organizers: ? Daniel Brunner (photonics, neuromorphic architectures; University of Besan?on) ? Herbert Jaeger (machine learning, nonlinear dynamics; Jacobs University Bremen) ? Stuart Parkin (nano systems, quantum electronic materials; Max-Planck-Institute for Microstructure Physics, Halle) ? Gordon Pipa (neuroinformatics and cognitive computing; University of Osnabr?ck) ------------------------------------------------------------------ Dr. Herbert Jaeger Professor for Computational Science Jacobs University Bremen gGmbH Campus Ring 28759 Bremen, Germany Phone (+49) 421 200 3215 email h.jaeger at jacobs-university.de http://minds.jacobs-university.de (offline until end of July: server infrastructure needs to be rebuilt after hacker disaster) ------------------------------------------------------------------ . From muftimahmud at gmail.com Tue Jul 24 12:54:39 2018 From: muftimahmud at gmail.com (Mufti Mahmud) Date: Tue, 24 Jul 2018 17:54:39 +0100 Subject: Connectionists: [Deadline Approaching] CfP: CI Methods in Processing and Analysis of Neuronal Big Data at BI 2018, Texas, Dec. 7-9. Message-ID: *[Apologies for cross posting.]* *Call for Paper for Special Session on* *Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data* *11th Brain Informatics Conference (BI 2018), Arlington, Texas, USA, December 7-9, 2018* *Web: http://uta.engineering/conferences/bi-2018/ * Organizers: *Mufti Mahmud1, M Shamim Kaiser2, Ning Zhong3, Nitish V Thakor4* *1 **Computing and Technology, Nottingham Trent University, NG11 8NS ? Nottingham, UK* 2*Institute of Information Technology, Jahangirnagar University, Savar, 1342 ? Dhaka, Bangladesh* 3*Dept. of Life Science and Informatics, Maebashi Institute of Technology, 371-0816 - Maebashi-City, Japan* *4**Singapore Institute for Neurotechnology, National University of Singapore, 117456 ? Singapore; &* *Dept. of Biomedical Engineering, Johns Hopkins University, Baltimore, 21205 ? MD, USA* *Introduction:* The brain receives and processes information simultaneously coming from diverse sources. The neurons, being the basic information processing units, interconnect to each other to form hierarchical and/or parallel pathways. Technologies related to neural systems engineering have been employed to study these pathways along with processing and modelling of neuronal data for disease diagnosis and brain decoding purposes. Combining both experimental and computational approaches in recent years, thanks to the advancements in neurotechniques, scientists can access large amount of neuronal data and apply computationally intelligent and nature-inspired machine learning techniques including deep learning and reinforcement learning on those data to suggest next generation experimental design aiming to decipher brain?s information processing capabilities and diagnose its diseases. *Scope:* Developing data-intensive and intelligent tools, as well as sophisticated neurotechniques, to process and analyse the neuronal big data is one of the biggest challenges posed to today?s multidisciplinary brain science community. To share recent progress in decoding neuronal information processing, both in healthy and diseased brain, this special session aims to provide a forum for scientists from diverse disciplines including ? computer, electrical, biomedical, and neuro engineering ? who are looking for more relevant information in interpreting brain functions and diagnosing diseases using expert and computationally intelligent systems. This special session expects to attract papers on recent research progress in the area of intelligent computational tools and techniques in acquiring and processing neuronal big data. The focus areas include, but not limited to, the following: ? Neural systems engineering and technology to study neural pathways; ? Processing and modelling of neuronal data for disease diagnosis and brain decoding; ? Bio-inspired methods for network analysis and pattern recognition in neural data; ? Novel machine learning techniques for neuronal big data analysis; ? Application of deep and reinforcement learning to neuronal big data analysis; ? Computationally intelligent techniques for neuroscience applications; ? Neuroinformatics (including cloud computing and real-time systems); ? Cognitive science applications (learning, workload, decision making, etc.) and data analytics; ? Computational and imaging methods for human brain connectome; and ? Information analysis in human brain machine interface (invasive, noninvasive). *Submission of papers:* Submit Springer Lecture Notes in Computer Science (LNCS) complaint ? 10 page ? pdf paper to the Special Session following the steps below: ? Prepare the paper as per the Springer LNCS template from: http://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines ? Visit https://wi-lab.com/cyberchair/2018/bi18/scripts/ws_submit.php?subarea=S ? Select the link: Special session on Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data ? Select the link Submit a New Paper (TYPE I Submission) ? Provide paper details (i.e., Author(s), Paper Title, Abstract, Keywords, PDF file to upload). *Important dates:* ? Paper submission deadline: *30 July 2018* ? Decision notification: *30 August 2018* ? Special Session date: *7 December 2018* ? Conference dates: *8-9 December 2018*. With kindest regards, *Mufti Mahmud, PhD* | (Senior) Lecturer of Computing & Technology | School of Science & Technology | Nottingham Trent University Office: ERD200 | Erasmus Darwin Building | Clifton Campus | NG11 8NS ? Nottingham | United Kingdom Phone: +44 (0)115 84 83202 | Email: mufti.mahmud at ntu.ac.uk Meeting requests: https://doodle.com/mufti http://orcid.org/0000-0002-2037-8348 https://scholar.google.com/citations?user=L8em2YoAAAAJ&hl=en https://sites.google.com/site/muftimahmud/ https://www.ntu.ac.uk/staff-profiles/science-technology/mufti-mahmud Senior Member, IEEE & ACM Associate Editor, IEEE Access Editorial Board Member, Cognitive Computation & Big Data Analytics Student consultation hours: Drop-in sessions on Thursdays between 11.00 am and 12.30 pm. Appointments for a different time can also be arranged through email. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mjose.escobar at gmail.com Tue Jul 24 12:44:16 2018 From: mjose.escobar at gmail.com (Maria Jose Escobar) Date: Tue, 24 Jul 2018 12:44:16 -0400 Subject: Connectionists: 3 Postdoc positions in: Computational Intelligence, Robotics, Power Conversion, Electrical Systems, Signal Processing Message-ID: POSTDOCTORAL POSITIONS The Advanced Center for Electrical and Electronic Engineering - AC3E - was created on 2014 to group individual research efforts into multi- and inter-disciplinary teams and focus research towards industry related problems to spark innovation. The Center is part of Universidad Te?cnica Federico Santa Mari?a - UTFSM - one of the most prestigious universities in Chile and Latin America in the area of science, technology, and engineering. AC3E is offering up to three postdoctoral fellowships in the following lines of research of the Center: Signals and Systems, Renewable Energy and Power Conversion, Robotics, Electrical Systems, and Data Analytics and Computational Intelligence. Required Documents 1. Cover letter explaining your interest in becoming part of AC3E. 2. Curriculum Vitae, including a list of publications. 3. Documentation that evidence the possession of a PhD. 4. Contact details of at least two referees, that may be contacted for a reference letter. Important Information - The postdoctoral fellowships are initially for two years and could be extended based on annual evaluation. - Required documents should be provided in English in a single PDF file. - AC3E is committed to gender diversity and we strongly encourage female applicants in particular to write confidently about their achievements. - The positions are for working at AC3E, located at UTFSM main campus in Valparaiso, Chile. - Selected candidates are expected to join AC3E no later than January 2019. - Deadline for application submissions is 31 August, 2018. - Applications should be sent to ac3e at usm.cl with subject POSTDOCTORAL POSITIONS 2018. - Additional information can be found at www.ac3e.cl and at www.usm.cl - Further enquiries can be sent to ac3e at usm.cl -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Wed Jul 25 05:59:03 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Wed, 25 Jul 2018 12:59:03 +0300 Subject: Connectionists: The 6th International Conference on Enterprise Systems (ES 2018): Last Mile for Paper Submissions In-Reply-To: <95E1AD27-F7FA-47A4-AFD5-56320C9F9B1D@cs.ucy.ac.cy> References: <95E1AD27-F7FA-47A4-AFD5-56320C9F9B1D@cs.ucy.ac.cy> Message-ID: <59DC7103-1D43-4ACA-9362-EA5BBBA7FAF2@cs.ucy.ac.cy> *** LAST MILE FOR PAPER SUBMISSIONS *** The 6th International Conference on Enterprise Systems (ES 2018) St. Raphael Resort, Limassol, Cyprus, 1-2 October, 2018 http://www.cyprusconferences.org/es2018 *** Submission Deadline: 31 July, 2018 *** *** Proceedings published by IEEE *** *** Special issue: Journal of Industrial Integration and Management, World Scientific *** WELCOME Welcome to the 6th International Conference on Enterprise Systems. Enterprise Systems (ES), also referred to as Enterprise Information Systems, has become increasingly popular over the last 20 years because it integrates and extends business processes across the boundaries of business functions and corporate walls, as well as country border lines. The International Conference on Enterprise Systems (ES) has been held every year since 2013. The sixth in the series will be held at St. Raphael Resort, Limassol, Cyprus, 1-2 October, 2018. The conference is hosted by the Department of Computer Science, University of Cyprus. This conference series is focusing on both the technical and application aspects of enterprise systems, the complex and cross-disciplinary problems of enterprise integration, and the new technological frontiers such as Industrial Integration, Industrial Information Integration, and Industry 4.0. The objectives of the conference are to provide high quality research and professional interactions for the advancement of science and technology. The main features of the conference include Keynote Speeches, Regular and Special Sessions. It has been highlighted by the IEEE Systems, Man, and Cybernetics Society: http://ieeesmc.org/ . SCOPE We welcome original and survey articles about the latest advances of technology. The final results can be state-of-the-art, requirements, fundamental theories, models, frameworks, algorithms, methodologies, platforms, protocols, prototypes, testbeds, field trials, case studies/stories, field experiences, standardization efforts, regulatory activities, education and training innovations, etc. The application areas include aeronautics and astronautics, agriculture, automotive, building, construction, energy, finance, healthcare, logistics, manufacturing, process industry, power, transportation, etc. TOPICS The topics of interest include but are not limited to: Enterprise Systems for Industry 4.0 ? Business-IT Alignment and IT Agility ? Enterprise Modelling and Integration ? Decision Support Systems ? Enterprise Knowledge Engineering and Knowledge Management ? Enterprise Systems for Business Process Management ? Enterprise Systems for Case Management ? Information integration and interoperability ? Cross-organizational collaboration and virtual enterprise ? Integration of (legacy) enterprise applications and information ? Information Governance ? Enterprise Architecture and Engineering ? Service Oriented Architecture (SOA) Cyber Physical Systems for Industry 4.0 ? Artificial intelligence and autonomous systems ? Smart agents and systems ? Cloud computing techniques for industrial systems ? Cloud robotics ? Cloud-based automation and control systems ? Model based development for CPS ? Semantic technologies for CPS ? Formal methods for industrial and enterprise applications ? Smart logistics for complex services ? Intelligent Transportation Systems ? E-Health Systems ? Smart Grid Systems ? Smart Homes, Buildings, Communities, and Cities Internet of Things for Industry 4.0 ? Internet of Things, Services, and People ? Industrial internet and tactile internet ? Wireless sensor and actuator network ? Automation networks, field buses, and Time Sensitive Networks ? Green communications and computing ? Ultra-reliable and ultra-low latency networks ? Super dense networks ? Automotive networks and Internet-of-Vehicles ? New PHY/MAC design and signal processing techniques ? Next generation networks e.g. 5G for industries ? IP-fication and interoperability of communication technologies Big Data for Industry 4.0 ? Innovative approaches for data collection (e.g., sensor-based wearable devices, location-based mobile devices) ? Data analysis (e.g., new econometrics, machine learning, decision science models) of big data ? New methods to extract business intelligence from structured and unstructured business data (e.g. data in the form of text, video, audio, link structure, etc.) ? New methods for the creation, sharing and reuse of big data ? Tools and technologies for deploying and managing big data ? Cloud-based data storage and exchange ? New approaches to combine multiple methods of research on big data ? New methods introduced from reference disciplines (e.g. statistics, biology, medical science, computer science, physics, etc.) for the business analysis of big data Security and Privacy Protection for Industry 4.0 ? Security in industrial networks ? Smart device information leaks ? Trusted and trustworthy computing and cloud services ? Security in cloud-based enterprise infrastructure ? Cloud and cyber security ? Privacy preservation in data release ? Cryptography, key distribution, and security management ? Asymmetric encryption for low capacity devices ? Privacy and data governance System Engineering and Human Factors for Industry 4.0 ? System-of-systems methodology and practices ? Social networks and social computing ? Service design and engineering ? Management of innovation in complex enterprise environment ? Human-in-the-loop automation, control, operation, and optimization ? Advanced human-machine/computer/robot/facility-interaction ? Wearable technologies and human centric sensing ? User centric design of industrial and enterprise systems ? Collaboration between human workers and robots ? Social-industry information exchange ? Enablers, drivers, and use cases of the Social Sensing IoT-enabled Smart Manufacturing ? Cloud based innovation of business models and manufacturing eco-systems ? Cloud manufacturing, mass-customization, and flexible manufacturing ? Networked manufacturing infrastructure and services ? Flexible and rapid recombination and reconfiguration of workshop floors ? Task modelling, decomposition, and composition ? Sharing of distributed manufacturing facilities and fine grain scheduling ? Holistic optimization of manufacturing efficiency ? Interaction and integration of Cyber Factory and Physical Factory ? Evolution and integration of Manufacturing Execution Systems ? Product life cycle management ? Manufacturing Facility-as-a-Service PAPER SUBMISSION The submitted paper should adhere to the double-blind review policy. All papers will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance, originality, significance, and clarity. All paper submissions will be handled electronically. Papers that do not comply with the Submission Guidelines will be rejected without review. Paper types: ? Full papers present final result. They must not exceed 8 pages. ? Short papers can contain preliminary results. They must not exceed 6 pages. ? Work-in-progress papers to present valuable and latest progresses of ongoing projects: 4 pages. Note, all manuscripts shall be written in English, using the IEEE conference template (double column, size 10). Templates can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html . Please use the following submission link for Easy Chair: https://easychair.org/conferences/?conf=es20180 . PUBLICATION AND SPECIAL ISSUES Accepted papers will be submitted for inclusion into the IEEE Xplore Database which is indexed by EI. Furthermore, selected papers will be invited for a special issue by the Journal of Industrial Integration and Management, World Scientific, with theme "Next-Generation Enterprise Systems in the Industrial Integration Era". More information is available on the conference web site. IMPORTANT DATES ? Regular Paper Submissions (all types) due: 31st July 2018 ? Notification of Acceptance/Rejection: 25th August 2018 ? Camera-Ready Versions of Accepted Papers: 6th September 2018 ? Author Registration: 6th September 2018 ? Early Non-Author Registration: 10th September 2018 ? Late Non-Author Registration: after 10th September 2018 ORGANIZING COMMITTEE Honorary General Chairs ? Aurona Gerber, South Africa, IEEE SMC EAE TC Chair ? Alta Van der Merwe, South Africa, IEEE SMC EAE TC Chair ? Li Da Xu, USA, IEEE SMC EIS TC Co-Chair Program Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus Program Co-Chairs ? Ling Xia Li, Old Dominion University, USA ? Wattana Golf Viriyasitavat, Chulalongkorn University, Thailand ? Yale Yu, Infosys Australia & New Zealand ? Chris Zhang, University of Saskatchewan, Canada ? Zhuo Zou, Fudan University, China Program Committee http://www.cyprusconferences.org/es2018/pages/pc.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From Sonja.Zhang at de.bosch.com Wed Jul 25 09:04:55 2018 From: Sonja.Zhang at de.bosch.com (Zhang Sonja (CR/PJ-AI)) Date: Wed, 25 Jul 2018 13:04:55 +0000 Subject: Connectionists: Jobs at Bosch Center for AI - Research In-Reply-To: References: Message-ID: <65f2c5b726f2497f847d0d21dd6e42b9@de.bosch.com> Dear all, I am hiring assistant of Bosch Center of Artificial Intelligence. We are now hiring research scientist and research engineer. I have registered the robotics worldwide mailing list but I see from the website that in order to send messages to all mailing list memebers, I should write email to you, right? Below is the information that we would like to share, could you please help us to send this email in the mailing list? Email Title: WELCOME TO BOSCH! We are looking for DL/ML/RL Research Scientists for diverse functions Welcome! Join us to start shaping the future of real-world Artificial Intelligence! The Bosch Center for Artificial Intelligence was founded in early 2017 to deploy cutting-edge AI technologies across Bosch products and services creating solutions that are "Invented for life." Currently over 100 employees are working for the Bosch Center for Artificial Intelligence (BCAI) in Renningen, Sunny Vale and Bangalore. The aim is strengthen Boschs position in the field of artificial intelligence. Bosch will invest around 300 million euros in the BCAI by 2021. At the Bosch Center for Artificial Intelligence, you will have the opportunity to work with large-scale data sets across domains, AI along maturity scales, multi-disciplinary and dynamic teams international teams. We are looking for: Deep Learning Researcher Generative Models https://jobs.smartrecruiters.com/BoschGroup/743999670328561-deep-learning-researcher-generative-models?trid=f153cd89-5005-402f-8c01-8e56b15015ea Deep Learning Researcher for Uncertainties in Behavior Models https://jobs.smartrecruiters.com/BoschGroup/743999670324917-deep-learning-researcher-for-uncertainties-in-behavior-models?trid=f153cd89-5005-402f-8c01-8e56b15015ea Deep Learning Researcher Uncertainty https://jobs.smartrecruiters.com/BoschGroup/743999670315739-deep-learning-researcher-uncertainty?trid=f153cd89-5005-402f-8c01-8e56b15015ea Reinforcement learning researcher for autonomous driving https://jobs.smartrecruiters.com/BoschGroup/743999670312382-copy-of-reinforcement-learning-researcher-for-autonomous-driving-eg16-?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist in Probabilistic Modeling https://jobs.smartrecruiters.com/BoschGroup/743999670310841-research-scientist-in-probabilistic-modeling?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist for Reinforcement Learning https://jobs.smartrecruiters.com/BoschGroup/743999670308942-research-scientist-for-reinforcement-learning?trid=f153cd89-5005-402f-8c01-8e56b15015ea Reinforcement Learning under Constraints Researcher https://jobs.smartrecruiters.com/BoschGroup/743999670306517-reinforcement-learning-under-constraints-researcher?trid=f153cd89-5005-402f-8c01-8e56b15015ea Deep Learning Researcher Explainable AI https://jobs.smartrecruiters.com/BoschGroup/743999670245878-deep-learning-researcher-explainable-ai?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Engineer for Reinforcement Learning https://jobs.smartrecruiters.com/BoschGroup/743999670228534-research-engineer-for-reinforcement-learning?trid=f153cd89-5005-402f-8c01-8e56b15015ea Deep Learning Research Engineer https://jobs.smartrecruiters.com/BoschGroup/743999670222612-deep-learning-research-engineer?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist Knowledge Representation/Logic Reasoning https://jobs.smartrecruiters.com/BoschGroup/743999670213416-research-scientist-knowledge-representation-logic-reasoning?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist Mathematical Optimization https://jobs.smartrecruiters.com/BoschGroup/743999670328410-research-scientist-mathematical-optimization?trid=f153cd89-5005-402f-8c01-8e56b15015ea Deep Learning Researcher for Autonomous Driving https://jobs.smartrecruiters.com/BoschGroup/743999670317216-deep-learning-researcher-for-autonomous-driving?trid=f153cd89-5005-402f-8c01-8e56b15015ea Reinforcement Learning Research Engineer https://jobs.smartrecruiters.com/BoschGroup/743999670311722-reinforcement-learning-research-engineer?trid=f153cd89-5005-402f-8c01-8e56b15015ea Hierarchical Reinforcement Learning Researcher https://jobs.smartrecruiters.com/BoschGroup/743999670309252-hierarchical-reinforcement-learning-researcher?trid=f153cd89-5005-402f-8c01-8e56b15015ea Imitation Learning Researcher for Autonomous Driving https://jobs.smartrecruiters.com/BoschGroup/743999670307598-imitation-learning-researcher-for-autonomous-driving?trid=f153cd89-5005-402f-8c01-8e56b15015ea Machine Learning Research Engineer https://jobs.smartrecruiters.com/BoschGroup/743999670305531-machine-learning-research-engineer?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist Reinforcement Learning for Autonomous Systems & Robotics https://jobs.smartrecruiters.com/BoschGroup/743999670247269-research-scientist-reinforcement-learning-for-autonomous-systems-robotics?trid=f153cd89-5005-402f-8c01-8e56b15015ea Probabilistic graphical modeling researcher for autonomous driving https://jobs.smartrecruiters.com/BoschGroup/743999670237406-probabilistic-graphical-modeling-researcher-for-autonomous-driving?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist for Decision Making, Learning and Control for Robotic Sensor Networks https://jobs.smartrecruiters.com/BoschGroup/743999670226496-research-scientist-for-decision-making-learning-and-control-for-robotic-sensor-networks?trid=f153cd89-5005-402f-8c01-8e56b15015ea Research Scientist Deep Learning https://jobs.smartrecruiters.com/BoschGroup/743999670214766-research-scientist-deep-learning?trid=f153cd89-5005-402f-8c01-8e56b15015ea Learn more about BCAI: https://www.bosch-ai.com/en/home/home.html Check out our worldwide job vacancies https://www.bosch-ai.com/en/we_are_hiring/we_are_hiring.html Mit freundlichen Gr??en / Best regards Sonja Zhang Please feel free to contact me if you have any further questions. Thank you in advance. Mit freundlichen Gr??en / Best regards Bosch Center for AI - Research (CR/PJ-AI-R) Robert Bosch GmbH | Renningen | 70465 Stuttgart | GERMANY | www.bosch.com (CR/PJ-AI) Tel. +49 711 811-42553 | Sonja.Zhang at de.bosch.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From sutherland at informatik.uni-hamburg.de Wed Jul 25 11:44:20 2018 From: sutherland at informatik.uni-hamburg.de (Alexander Sutherland) Date: Wed, 25 Jul 2018 17:44:20 +0200 Subject: Connectionists: [meetings] Call for Papers: SSR 2018 (Extended deadline) - International Ph.D. Conference on Safe and Social Robotics Message-ID: Extended deadline - Call for Papers ** International Ph.D. Conference on Safe and Social Robotics (SSR 2018) ** Madrid, Spain 29-30 September 2018 ======================================================================== SSR 2018 is organized by Ph.D. students for Ph.D. students and it is co-located with IROS 2018. Why not have a warm-up before the big event! ======================================================================== Ph.D. students are invited to submit to the International Ph.D. Student Conference in Safe and Social Robotics (SSR) which will be held in conjunction with IROS 2018 in Madrid. It is co-organized by two Horizon 2020 projects SECURE and SOCRATES . The SSR 2018 provides a great opportunity for Ph.D. students to discuss their research interests, the newest state of the art, and to network with many Ph.D. students and experts in the field working on the design, ?emotion, intention, vision and language processing, security, safety, and ethics of social robotics. We have selected this venue to create an opportunity of combining exciting research with the attractions of Madrid and its citizens, its cultural heritage in the unique art district of Prado, Reina Sofia, and Thyssen-Bornemisza museums, and its fabulous gastronomy. We are looking forward to seeing you at SSR 2018. *SCOPE* The aim of the student conference is to provide a forum to disseminate and foster discussion on recent and significant research within social robotics focused towards quality and safety in Human-Robot Interaction (HRI). *IMPORTANT DATES* ??????? July 31st (extended): Submission deadline ??????? August 21st: Notification of acceptance ??????? August 31st: Camera-ready paper ??????? September 29-30: Student Conference Website: http://www.socrates-project.eu/sesoro-2018/ *OVERVIEW* Social robots have the potential to interact safely and efficiently with people, as they add value to health-care, education, entertainment, caregiving, and other aspects of society. As research advances towards the integration of robots into our society, there is an increased need to pay adequate attention to the quality of the interaction between robots, humans and the environment as well as the safety of this interaction. Design of social robots should take into account user safety, avoiding any negative impact on their well-being and improving their quality of life. This conference is intended to share knowledge about technological opportunities and challenges regarding different aspects of social robot companions and foster discussions within the scientific community about ?issues concerning safety. The student conference is jointly organized by two Horizon-2020 European Union projects which are training programs with a special focus on HRI. The SECURE project aims to incorporate intelligent safety awareness into ?dynamic and unpredictable human or domestic environments and into interactions with robots. The SOCRATES project has the goal of developing the field of social robotics with an application focus on robotics for an aging population. The aim of the conference is to bring researchers together to present ongoing research and to discuss the state of the art and future directions. *TOPICS* Topics of interest include (but are not limited to): ????????? Effective expression recognition ????????? Human-robot interaction design principles ????????? User perception and acceptance of social robots ????????? Ethics in social robotics ????????? Intelligence in social robots ????????? Intention recognition ????????? Social robot adaptivity and learning ????????? Safety design ????????? Assistive robotics ????????? Empathy in robots ????????? Trust in robots ????????? Motion planning and environment modeling design ????????? Human-robot dialogue design *SUBMISSION* Submissions will be judged based on relevance to the conference topics, technical quality, and novelty. Authors of accepted papers are expected to give a short spotlight talk and to present a poster at the conference. A number of full papers will be selected for longer 15 minutes oral presentation. We also welcome preliminary results, works ?in progress and position papers. Submission link will appear ??? http://www.socrates-project.eu/sesoro-2018/sesoro-2018/submission/ *FORMAT* Authors are required to submit a 2-page extended abstract or 2-4 page short paper as PDF in the standard IEEE conference format (download a template in LaTeX or MS-Word, for using these templates to create your paper in PDF format) *ORGANIZATION* The SSR2018 is jointly organized by two Horizon 2020 EU projects SECURE and SOCRATES - focusing on HRI. http://www.socrates-project.eu/sesoro-2018/sesoro-2018/organization/ Hope to see you in Madrid! --------------------------------------- Alexander Sutherland Research Associate SOCRATES Project Knowledge Technology Group (WTM) Department of Informatics, University of Hamburg -- Alexander Sutherland Research Associate SOCRATES Project Knowledge Technology Group (WTM) Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Tel.: +49 40 428 83 2531 Fax: +49 40 428 83 2515 sutherland at informatik.uni-hamburg.de http://www.informatik.uni-hamburg.de/~sutherland/ http://www.informatik.uni-hamburg.de/WTM/ From georg.martius at tuebingen.mpg.de Thu Jul 26 05:03:37 2018 From: georg.martius at tuebingen.mpg.de (Georg Martius) Date: Thu, 26 Jul 2018 11:03:37 +0200 Subject: Connectionists: Ph.D. Positions at Max Planck Research School for Intelligent Systems, Germany Message-ID: <1669574.jqxdDBSk0Q@georg-laptop> *Funded Ph.D. Positions* at the International Max Planck Research School for Intelligent Systems, in T?bingen and Stuttgart, Germany *Website: http://imprs.is.mpg.de* *Deadline: November 15, 2018* Details: The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and T?bingen are collaborating to offer an interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems. This doctoral program will accept its Ph.D. generation in spring 2019 and will enroll about 100 Ph.D. students over the next six years. This school is a key element of Baden-W?rttemberg?s ?Cyber Valley? initiative to accelerate basic research and commercial development in artificial intelligence. We seek students who want to earn a doctorate while contributing to world-leading research in areas such as - Computer Vision - Machine Learning - Robotics - Haptics - Control Systems - Perceptual Inference - Computer Graphics - Micro- and Nano-Robotics The participating faculty are Frank Allg?wer, Philipp Berens, Matthias Bethge, Michael J. Black, Andr?s Bruhn, Martin Butz, Caterina De Bacco, Peer Fischer, Andreas Geiger, Matthias Hein, Philipp Hennig, Ardian Jusufi, Katherine J. Kuchenbecker, Hendrik Lensch, Falk Lieder, Georg Martius, Mi Jung Park, Ludovic Righetti, Bernhard Sch?lkopf, Fabian Sinz, Metin Sitti, Alexander Spr?witz, Ingo Steinwart, Joerg Stueckler, Gabriele Schweikert, Marc Toussaint, Sebastian Trimpe, Isabel Valera, Ulrike von Luxburg, and Felix Wichmann. Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. To advance human knowledge in this domain, we need doctoral students who are curious, creative, and passionate about research to join our school. Learn more at http://imprs.is.mpg.de - All aspects of the program are in English. - You may join our program in spring 2019. - You will be mentored by our internationally renowned faculty. - You will register as a university graduate student and conduct research for approximately three years. - You can take part in a wide variety of scientific seminars, advanced training workshops, and social activities. - Your doctoral degree will be conferred when you successfully complete your Ph.D. project. - Our dedicated coordinator will assist you throughout your time as a doctoral student. People with a strong academic background and a master?s degree in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields should apply. We seek to increase the number of women in areas where they are underrepresented, so we explicitly encourage women to apply. We are committed to employing more handicapped individuals and especially encourage them to apply. We are an equal opportunity employer and value diversity at our institutions. Admission will be competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities. You can apply at http://imprs.is.mpg.de before midday CET on November 15, 2018. The selection interviews will take place between January 29 and February 1, 2019 in Stuttgart and T?bingen, Germany. For further information please contact Dr. Leila Masri at imprs at is.mpg.de or visit our website http://imprs.is.mpg.de From ksmith at kth.se Thu Jul 26 14:25:27 2018 From: ksmith at kth.se (Kevin Smith) Date: Thu, 26 Jul 2018 20:25:27 +0200 Subject: Connectionists: [job] Doctoral student in Deep Learning in Stockholm Sweden Message-ID: *Project description* Third-cycle subject: Computer Science KTH Electrical Engineering and Computer Science (EECS) announces a PhD position for potential projects funded by the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP). More information on the collaborative projects from WASP can be found here: http://wasp-sweden.org/wasp-announces-call-for-collaboration-projects/ The main focus of the research will be on generative deep learning models such as generative adversarial networks (GAN) and variational autoencoders (VAE). We aim to develop novel generative approaches that are capable of producing samples outside of the source domain in a way that appropriately reflects underlying uncertainty. Generative models that can more fully explore the image manifold can be a powerful tool to generate training examples for supervised learning. In reinforcement learning, generative models that incorporate uncertainty can enable efficient exploration of unknown environments without strong prior assumptions. The research position is a 48 month time-limited position that can be extended up to one year dependant on the inclusion of a maximum of 20% departmental duties, usually teaching. In order to be employed, you must be accepted as a doctoral student at KTH. The starting data is open for discussion, though ideally we would like the successful candidate to start as soon as possible. *What we offer* - The possibility to study in a dynamic international research environment in close cooperation with industries and advanced universities the world over. - Life-long network through KTH's Alumni organization . - A personal study plan to support your development within your areas of interest. - A workplace with many employee benefits and monthly salary according to KTH's doctoral student salary agreement . - Work and study in Stockholm, one of Europe?s fastest growing capitals, which is close to both nature and the sea. - Help to relocate and get settled in Sweden and at KTH . *Eligibility* To be admitted to postgraduate education (Chapter 7, 39 ? Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following: - passed a degree at advanced level, - completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or - in any other way acquired within or outside the country acquired essentially equivalent knowledge. The applicant must have a master's degree in an area such as Computer Science, Electrical Engineering, Informatics or related fields. Documented written and spoken English and programming skills are required. Experience with machine learning and computer vision is an important asset. A strong background in mathematics and strong programming skills are also required. *Selection* In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed: - ability to independently pursue his or hers work, - ability to collaborate with others, - have a professional approach and - analyse and work with complex issues. For more information, visit https://www.kth.se/en/api/lediga-jobb/what:job/jobID:218559/where:4/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksmith at kth.se Thu Jul 26 14:24:08 2018 From: ksmith at kth.se (Kevin Smith) Date: Thu, 26 Jul 2018 20:24:08 +0200 Subject: Connectionists: [job] Bioimage analyst position in Stockholm, Sweden Message-ID: 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 For more information, visit https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:214271/where:4/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ehatch at fredhutch.org Thu Jul 26 17:51:34 2018 From: ehatch at fredhutch.org (Hatch, Emily M) Date: Thu, 26 Jul 2018 21:51:34 +0000 Subject: Connectionists: Job opening: Image Analyst Staff Scientist Position at Fred Hutch in Seattle, WA Message-ID: <1D5F1AE2-A6B5-42DD-9CA8-1A1CA5AC8DA2@fredhutch.org> Hi all, The Fred Hutch Cancer Research Center has a new position open for an Image Analysis Specialist as part of the Genomics and Bioinformatics Shared Resource (core) at the Center. This position will collaborate extensively with individual researchers to develop integrative approaches to quantitatively understanding patterns in biological images, including super-resolution, 3D, and 4D microscopy images. The analyst will also interface with staff from a number of Fred Hutch Shared Resources, specifically Scientific Imaging, Bioinformatics, and Scientific Computing, and will report to Jeff Delrow, PhD, the Director of the Genomics and Bioinformatics Shared Resource. Developing image processing and analysis pipelines and new methods to quantify cell morphometric phenotypes and dynamics are major areas of interest here. There is also strong interest in modeling and incorporating machine-learning methodologies into existing pipelines. We are looking for someone who wants to function independently in a dynamic research setting and comes in with extensive experience in quantitative image analysis, preferably while researching for an advanced degree. More information about the position and how to apply can be found at the following link: https://careers-fhcrc.icims.com/jobs/11530/morphometry-and-image-analyst/job?hub=7 Please pass along this information to any interested colleagues and thanks for your help! Emily Emily M. Hatch Assistant Member Basic Sciences Division O 206.667.5116 ehatch at fredhutch.org http://research.fhcrc.org/hatch/en.html [cid:7FD59B8C-1758-44FF-B557-AF2457A743D2 at fhcrc.org] Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N., B2-152 Seattle, WA 98109 fredhutch.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PastedGraphic-1.tiff Type: image/tiff Size: 13882 bytes Desc: PastedGraphic-1.tiff URL: From dwang at cse.ohio-state.edu Fri Jul 27 09:46:01 2018 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Fri, 27 Jul 2018 09:46:01 -0400 Subject: Connectionists: NEURAL NETWORKS, Aug. 2018 Message-ID: <0eb82237-90f5-e786-1788-e81661e18293@cse.ohio-state.edu> Neural Networks - Volume 104, August 2018 http://www.journals.elsevier.com/neural-networks Design of double fuzzy clustering-driven context neural networks Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz A frequency-domain approach to improve ANNs generalization quality via proper initialization Majdi Chaari, Afef Fekih, Abdennour C. Seibi, Jalel Ben Hmida Using a model of human visual perception to improve deep learning Michael Stettler, Gregory Francis Biased Dropout and Crossmap Dropout: Learning towards effective Dropout regularization in convolutional neural network Alvin Poernomo, Dae-Ki Kang Effect of dilution in asymmetric recurrent neural networks Viola Folli, Giorgio Gosti, Marco Leonetti, Giancarlo Ruocco Generalized pinning synchronization of delayed Cohen-Grossberg neural networks with discontinuous activations Dongshu Wang, Lihong Huang, Longkun Tang, Jinsen Zhuang Stochastic exponential synchronization of memristive neural networks with time-varying delays via quantized control Wanli Zhang, Shiju Yang, Chuandong Li, Wei Zhang, Xinsong Yang Quasi-projective synchronization of fractional-order complex-valued recurrent neural networks Shuai Yang, Juan Yu, Cheng Hu, Haijun Jiang Bio-inspired spiking neural network for nonlinear systems control Javier Perez, Juan A. Cabrera, Juan J. Castillo, Juan M. Velasco A deep belief network with PLSR for nonlinear system modeling Junfei Qiao, Gongming Wang, Wenjing Li, Xiaoli Li Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach Feibo Jiang, Li Dong, Qianwei Dai From Tingting.Mu at manchester.ac.uk Fri Jul 27 11:09:35 2018 From: Tingting.Mu at manchester.ac.uk (Tingting Mu) Date: Fri, 27 Jul 2018 15:09:35 +0000 Subject: Connectionists: PhD Studentship, University of Manchester, UK Message-ID: <0793A7D0-4565-4B4C-A4A3-FE4924B7A795@manchester.ac.uk> Title: Advanced data analysis and machine learning techniques for interpreting AGR reactor data, CS, University of Manchester, UK Dear All, We are looking for PhD candidate for the project "Advanced data analysis and machine learning techniques for interpreting AGR reactor data?. This is a multi-disciplinary project in the fields of machine learning and mechanical modelling with a funded PhD studentship (UK/EU). The student will be based in the School of Computer Science of the University of Manchester, and will closely interact with the EDF Energy R&D UK Centre to understand the industrial context. The scope of this PhD project is to develop state-of-the-art data analysis and machine learning techniques in order to best interpret the data coming from the models and experiments of the AGR reactors. As they are producing an enormous amount of data, it is necessary to develop appropriate data analysis techniques to extract the relevant information, identify particular crack patterns of interest, and efficiently compare the different runs containing different input data. Machine learning models on finding correlation between inputs of interest (material properties, configuration of cracks, etc...) and outputs of interest (local deformations of the cores, peak forces, etc...) are to be researched. This project will facilitate The EDF Energy Generation team. They are currently working on the extension of the life expectancy of their Advanced Gas-cooled Reactor (AGR) nuclear power plants. One critical point is the integrity of the graphite cores, which are experiencing significant modifications with ageing due to oxidation, leading to weaker components, and irradiation, leading to greater slackness in the active. Late in the core operating life, graphite components are likely to crack, again leading to greater slackness in the active core and changed external load paths. The team has developed the graphite core models under seismic loading and conducted experiments on a quarter scale simplified mock-up, to increase the understanding of the future behaviour of the AGR graphite cores beyond keyway root cracking, and hence contribute to the underwriting of the safety cases for operation of the cores to their ultimate lifetimes, and enable EDF Energy to take informed lifetime investment decisions. The University of Manchester is one of the top research-led universities in UK, laying claim to 25 Nobel Prize winners amongst its current and former staff/students, including 4 current Nobel laureates on staff. In REF 2014, the School of Computer Science ranked 4th in the UK by GPA, 1st in overall research environment, with 94% of research classified as world-leading or internationally excellent. The EDF Energy R&D UK Centre is based in the School of Modelling, Aerospace and Civil Engineering of the University of Manchester. 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 Engineering/Physics, 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, colleagues and industrial partners. 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. Qualified applicants are strongly encouraged to informally contact the supervising academic Dr. Tingting Mu (tingting.mu at manchester.ac.uk), Mr Philippe Martinuzzi (philippe.martinuzzi at edfenergy.com) or Prof. Gavin Brown (Gavin.Brown at manchester.ac.uk) to discuss the application prior to applying. Regards, Tingting -- Dr. Tingting Mu Lecturer (Assistant Professor) School of Computer Science The University of Manchester Address: Room 293, Kilburn Building, Manchester, UK, M13 9PL Tel: +44 (0)161 275 6243 Email: tingting.mu at manchester.ac.uk Homepage: http://personalpages.manchester.ac.uk/staff/tingting.mu/Site/About_Me.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.vanRossum at nottingham.ac.uk Sat Jul 28 04:54:44 2018 From: Mark.vanRossum at nottingham.ac.uk (Mark van Rossum) Date: Sat, 28 Jul 2018 09:54:44 +0100 Subject: Connectionists: 3 Independent Academic Fellowship positions Message-ID: <1e8a8610-0738-9dda-8ccc-ea5d1d0fe708@nottingham.ac.uk> Academic Fellowship positions The University of Nottingham is a research intensive university ranked in the top 10 in the UK and in the top 30 of Europe. It has a strong tradition in Cognition, Perception, Mathematical Biology, and structural and functional Imaging. To support further development across these areas, and stimulate new research opportunities, the University has recently made a major investment in Computational Neuroscience. As part of this investment we are inviting applications for three independent fellowships (3 years). The positions are ideal for researchers with a strong vision that are planning to develop their own research group in a supportive, interdisciplinary environment with outstanding research facilities. We are interested in candidates working across a broad spectrum of research topics areas in Computational Neuroscience, including functional neuroimaging, neural networks, and models of cognition. Research methodologies could include numerical simulation, machine learning, theoretical neuroscience, and innovative data analysis. The Fellows will be based in the School of Psychology and/or Mathematical Sciences. For the online application form see https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI219418 Informal inquiries: Prof Mark van Rossum, mark.vanrossum at nottingham.ac.uk, or Prof Mark Humphries, lpzmdh at exmail.nottingham.ac.uk. This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. From P.Tino at cs.bham.ac.uk Sat Jul 28 08:18:51 2018 From: P.Tino at cs.bham.ac.uk (Peter Tino) Date: Sat, 28 Jul 2018 13:18:51 +0100 Subject: Connectionists: Chair in Computer Vision/Machine Learning at University of Birmingham, UK Message-ID: <5d0cd679-909d-6234-af4d-697e6c9bb3bb@cs.bham.ac.uk> dear all, The School of Computer Science, University of Birmingham, UK, has a large group of internationally renowned researchers working in the broad area of intelligent systems. These include groups in Robotics and Robot Vision (4 faculty), Medical Image Understanding (3 faculty), and Machine Learning (4 faculty). This includes eight full professors, and we participate in grants with a value exceeding ?10m. We are currently making another five full and part-time appointments in machine learning. This post will grow work in one or both of Computer Vision / Machine Learning, making strong links with one or more of the groups listed above. The chair will be supported by a substantial cash investment, and three further junior faculty appointments. If interested, please read more http://www.download.bham.ac.uk/vacancies/jd/59786.pdf -- Peter Tino The University of Birmingham School of Computer Science Edgbaston, Birmingham B15 2TT, UK +44 121 414 8558 http://www.cs.bham.ac.uk/~pxt/ From sugi at k.u-tokyo.ac.jp Sun Jul 29 21:35:15 2018 From: sugi at k.u-tokyo.ac.jp (Masashi Sugiyama) Date: Mon, 30 Jul 2018 10:35:15 +0900 Subject: Connectionists: AISTATS 2019 Call for Papers Message-ID: AISTATS (https://www.aistats.org) is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them. We encourage the submission of all papers which are in keeping with this objective at AISTATS. Paper Submission: Papers will be selected via a rigorous double-blind peer-review process. All accepted papers will be presented at the Conference as contributed talks or as posters and will be published in the AISTATS Conference Proceedings. Solicited topics include, but are not limited to: - Models and estimation: graphical models, causality, Gaussian processes, approximate inference, kernel methods, nonparametric models, statistical and computational learning theory, manifolds and embedding, sparsity and compressed sensing, ... - Classification, regression, density estimation, unsupervised and semi-supervised learning, clustering, topic models, ... - Structured prediction, relational learning, logic and probability - Reinforcement learning, planning, control - Game theory, no-regret learning, multi-agent systems - Algorithms and architectures for high-performance computation in AI and statistics - Software for and applications of AI and statistics - Deep learning including optimization, generalization and architectures - Trustworthy learning, including learning with privacy and fairness, interpretability, and robustness For a more detailed list of keywords, please see https://www.aistats.org/cfp.html. Submission Requirements: Electronic submission of papers is required. Papers may be up to 8 double-column pages in length, excluding references. Authors may optionally submit also supplementary material. Papers and supplementary material must be anonymized for double-blind reviews. Formatting and submission instructions are available at https://www.aistats.org/submit.html. Submission Deadline: Paper submission deadline: Thursday, 4 October 2018 23:59 PDT Author feedback deadline: November 20, 2018 Paper decision notifications: December 24, 2018 Camera ready (for accepted papers) deadline: March 16, 2019 Program Chairs: Kamalika Chaudhuri, University of California, San Diego Masashi Sugiyama, RIKEN and University of Tokyo Local Chair: Ichiro Takeuchi, Nagoya Institute of Technology and RIKEN Workflow Chairs: James Foulds, University of Maryland, Baltimore County Makoto Yamada, Kyoto University and RIKEN Publication Chairs: Purna Sarkar, University of Texas at Austin Akiko Takeda, University of Tokyo and RIKEN Publicity Chair: Daniel Hsu, Columbia University General inquiries should be sent to aistats2019 at gmail.com. From trungdung.ngo at gmail.com Sun Jul 29 16:17:33 2018 From: trungdung.ngo at gmail.com (Ngo Trung Dung) Date: Sun, 29 Jul 2018 17:17:33 -0300 Subject: Connectionists: [meetings] Call for Papers - IROS 2018 Workshop on "Robotic Co-workers 4.0: Human Safety and Comfort in Human-Robot Interactive Social Environments Message-ID: A gentle reminder about the deadline approaching soon. CALL FOR PAPERS *Robotic Co-workers 4.0: Human Safety and Comfort in Human-Robot Interactive Social Environments* Friday morning (9:30 - 13:30), October 5th, 2018, Madrid, Spain *Website*: https://sites.google.com/site/humansafetyandcomfortiros2018/home *Important Dates: * Submission of short papers: July 30th Notification of acceptance Date: August 15th Short-papers (2-4 pages in IEEE conference format) can be submitted via e-mail to tngo at upei.ca. *Objectives:* Professional and personal service robots are becoming enabling assistive technologies for social interactive environments. However, the first and the most challenging issue with respect to deploying service robots in human populated environments is *how to guarantee human safety and comfort in human-robot shared workspaces*. Human physical safety is concerned with how to maintain the minimum physical distance between robots and humans, while human psychological comfort implies that robots should not cause stress and discomfort to humans when working with or around them. Human risks and their inconveniences when working in an interactive social environment essentially come from unavoidable situations due to robot malfunctioning operations caused by either misunderstanding and misinterpreting information extracted from sensing and perception or failures of path planning and motion control. Furthermore, humans may feel uncomfortable as well as fear and stress towards service robots as such robots do not behave in the natural way of humans with respect to their social situations, contexts, and cultures. It is important to find out a *methodological approach of incorporating social signals, cues, and norms into sensing, perception, path planning, and motion control of the robot control architecture **so that the robots capable of securing human physical safety and ensuring psychological comfort when interacting and cooperating with humans in human-robot shared work spaces*. *Topics:* - Current state-of-the-art in human safety and comfort in interactive social environments - New hardware and software design for human safety and comfort - System design and integration for human safety and comfort - Safety rules for human safety in human-robot shared workspaces - Ethics for human safety and comfort - Human detection and tracking techniques in shared environments - Human face and body detection and tracking - Human gestures and posture recognition - Human-object interaction and human-robot handover detection and tracking - Human group interaction detection and tracking - Sensor fusion techniques to extract social cues and signals - Learning algorithms for interpretation of social signals and cues in contexts - Human aware robot navigation techniques - Robot navigation in dynamic social environments - Robot avoiding and approaching techniques - Human-robot interaction in close proximity - Path planning and motion planning for mobile service robots in social environments - Control engineering applied for services mobile robots - Real-time control and optimization of robot operations in social environments - Applications of mobile service robots in social environment *Organizers* *Rachid Alami *, LAAS-CNRS, TMBI, Univ. Toulouse, France (Rachid.Alami at laas.fr) *Takayuki Kanda* , Kyoto University, Japan (kanda at i.kyoto-u.ac.jp) *Goldie Nejat* , University of Toronto, Canada (nejat at mie.utoronto.ca) *Yongsheng Ou* , Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, China (ys.ou at siat.ac.cn) *Xuan Tung Truong* , University of Prince Edward Island, Canada (xuantung.truong at gmail.com) *Trung Dung Ngo *, The *More-Than-One Robotics Laboratory, **Faculty of Sustainable Design Engineering, **University of Prince Edward Island *(tngo at upei.ca) -------------- next part -------------- An HTML attachment was scrubbed... URL: From david.halliday at york.ac.uk Mon Jul 30 05:59:10 2018 From: david.halliday at york.ac.uk (David Halliday) Date: Mon, 30 Jul 2018 10:59:10 +0100 Subject: Connectionists: =?utf-8?q?Call_for_participants_=E2=80=93_worksho?= =?utf-8?q?p_on_Computational_Neuroscience_and_Robotics=3A_Astrocyt?= =?utf-8?q?e-Neuron_interactions=2C_Spiking_Neural_Networks_and_Aut?= =?utf-8?q?onomous_robotics=2E_University_of_York=2C_3-5_Sep_2018?= =?utf-8?q?=2E?= Message-ID: This 2.5 day workshop in the historic city of York is accepting applications for participation. We have invited speakers from USA, EU and UK. Due to sponsorship from EPSRC we can offer free registration for all participants. Free accommodation is available for PhD, early career researchers and workshop presenters. Travel bursaries for registered PhD students are also available. For an up to date list of speakers and details of how to register see the website: https://www.york.ac.uk/spanner-workshop We are still accepting abstracts for posters or contributed talks. Further details: https://www.york.ac.uk/spanner-workshop -------------- next part -------------- An HTML attachment was scrubbed... URL: From wachtler at biologie.uni-muenchen.de Mon Jul 30 06:47:25 2018 From: wachtler at biologie.uni-muenchen.de (Thomas Wachtler) Date: Mon, 30 Jul 2018 12:47:25 +0200 Subject: Connectionists: =?utf-8?q?ANDA_2019_-_G-Node_Advanced_Neural_Data?= =?utf-8?q?_Analysis_Course=2C_April_1-18=2C_2019=2C_J=C3=BClich=2C_German?= =?utf-8?q?y?= Message-ID: <653a738c3e45bfdc9ee42c46df908e47@biologie.uni-muenchen.de> ANDA 2019 - G-NODE ADVANCED NEURAL DATA ANALYSIS COURSE April 1 - 18, 2019 Haus Overbach, Juelich-Barmen, Germany Techniques to record neuronal data from populations of neurons are rapidly improving. Simultaneous recordings from hundreds of channels are possible while animals perform complex behavioral tasks. The analysis of such massive and complex data becomes increasingly challenging. This advanced course aims at providing deeper training in state-of-the-art analysis approaches in systems neuroscience. The course is addressed to excellent master and PhD students and young researchers who are interested in learning advanced techniques in data analytics and in getting hands-on experience in the analysis of electrophysiological data. Internationally renowned researchers will give lectures on statistical data analysis and data mining methods with accompanying exercises. Students will define and perform their own analyses on provided data to solve a challenge. Participants are required to have a strong interest in data analysis, a background in a mathematical or related field, knowledge of algebra, matrix operations, and statistics, and need to have solid programming experience (preferably in Python). FACULTY ? Moshe Abeles, Bar-Ilan Univ, Israel ? Izhar Bar Gad, Bar-Ilan Univ, Israel ? Michael Denker, Juelich Research Center and RWTH Aachen Univ, Germany ? Sonja Gr?n, Juelich Research Center and RWTH Aachen Univ, Germany ? Bj?rn Kampa, RWTH Aachen, Germany ? Tatiana Korotkova, MPI and University of Cologne, Germany ? Christian Machens, Champalimaud Centre for the Unknown, Portugal ? Martin Nawrot, University of Cologne, Germany ? Yifat Prut, Hebrew Univ Jerusalem, Israel ? Alexa Riehle, CNRS, Marseille, France ? Alexander Thiele, University of Newcastle, UK ? Thomas Wachtler, G-Node, LMU Munich, Germany TOPICS COVERED Single neuron properties and statistics ? Stochastic processes ? Surrogate methods ? Detection of spatio-temporal patterns ? Unitary Events ? Statistical analysis of massively parallel spike data ? Higher-order correlation analyses ? Spike-LFP relationship ? Population coding ? State space analysis ? Machine learning ? Data mining ? Data management, reproducibility, data sharing ? Elephant toolbox REQUIREMENTS Applicants should be familiar with linear algebra, probability, differential and integral calculus and experienced using Python or Matlab. Preparatory reading material will be provided. Students should bring their own laptops and should be able to install software on their system. Students that do not have a suitable laptop should indicate this immediately after acceptance to the course. We will be able to provide a small number of laptops for the time of the course. COURSE FEE A course fee of 1000 Euros will be charged to cover costs for accommodation and meals. Limited financial support may be available for students that otherwise would not be able to attend, which is to be indicated in the application. HOUSING Accommodation in 2-bed rooms for students will be provided at the course site. HOW TO APPLY The application should include ? a letter of motivation (max 1 page) ? curriculum vitae (please indicate the relevant courses you have taken) ? description of programming experience ? a letter of recommendation. Please send all documents as a single PDF file to . APPLICATION DEADLINE Applications must be received by SEPTEMBER 30, 2018. Early application is encouraged. For further information see http://www.g-node.org/anda2019 ORGANIZERS ? Sonja Gr?n, Juelich Research Center and RWTH Aachen Univ, Germany ? Martin Nawrot, University of Cologne, Germany ? Yifat Prut, Hebrew University Jerusalem, Israel ? Thomas Wachtler, G-Node, Ludwig-Maximilians-Universit?t M?nchen, Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From hrvoje.stojic at protonmail.com Mon Jul 30 07:05:44 2018 From: hrvoje.stojic at protonmail.com (Hrvoje Stojic) Date: Mon, 30 Jul 2018 07:05:44 -0400 Subject: Connectionists: Four-year PhD in Computational Psychiatry at University College London Message-ID: <5rxhiNttXpg0Ce_r1akIeAqvO6MDHortV62BxgmUtbYYBBt2TSxCvz9ODKT0hcpZLfVtUq0KuPx6uuzslLdIsh9CnjIW-aJhsPQVh9whYhw=@protonmail.com> Four-year PhD in Computational Psychiatry at University College London The International Max Planck Research School on Computational Methods in Psychiatry and Ageing Research (https://www.mps-ucl-centre.mpg.de/en) seeks applicants for PhD fellowships to be based at University College London (UCL). The PhD programme is strongly interdisciplinary and invites applications from potential students with a broad range of backgrounds including, but not limited to, neuroscience, mathematics, statistics, machine learning, computer science, physics, psychology, and medicine. This is an international doctoral programme of the Max Planck UCL Centre for Computational Psychiatry and Ageing Research, which has sites in London and Berlin. The programme offers unique training in concepts and methods from computer science and statistics in relation to substantive research questions in cognitive neuroscience, psychiatry, and lifespan psychology. Training involves seminars, methods workshops, participation in summer schools, and collaboratively supervised research. Students will take one module per semester for the first two years of the programme on topics that range from psychiatry and decision science to advanced computational and statistical methods. The main focus of the London site is to address cognitive and theoretical neuroscience questions relevant to understanding psychiatric disorders. Methods include neuroimaging and pharmacology, computational modelling of behaviour (learning, decision-making, emotion), and large-scale smartphone- and internet-based data collection. Students will have a primary supervisor within the Centre and possible supervisors include Tobias Hauser (http://v1.tobiashauser.ch/) and Quentin Huys (https://quentinhuys.com/). Collaboration is encouraged within the Centre and with other UCL departments including the Wellcome Centre for Human Neuroimaging (https://www.fil.ion.ucl.ac.uk/) and Gatsby Computational Neuroscience Unit (http://www.gatsby.ucl.ac.uk/). We offer a generous four-year studentship stipend of ?23,263 (tax free) per year, PhD registration fees at the current Home/EU rate, research expenses, and funds for travel to conferences or courses. (If you are an international student please note that this studentship only covers UK/EU fees and you will need to provide the difference between UK/EU and overseas fees.) Students will participate in international summer schools, seminars and workshops linked to the Berlin site, and have the opportunity to conduct a research project of up to 6 months in Berlin. Requirements: This is a highly competitive programme. Successful applicants should have, or expect to get, at least an upper 2nd class degree (or the foreign equivalent), and should have some familiarity with computational and statistical methods. Students wishing to undertake a PhD with Quentin Huys are expected to take and pass courses (http://www.gatsby.ucl.ac.uk/teaching/courses/index.html) at the Gatsby Computational Unit. The next intake of students will be October 2018 (with the possibility for a later start date). UCL is committed to employing more people with disabilities and especially encourages them to apply. UCL also seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. Deadline: 26 August 2018. Shortlisted candidates will be interviewed in early September 2018 via Skype. HOW TO APPLY. Please send: 1) a CV, 2) a statement of why you want to do the PhD (no more than 1 page), 3) a copy of your strongest piece of academic work (e.g., thesis, publication). Please also arrange for two reference letters to be sent to us by referees. Your surname should be the first word in the subject line of these emails. The statement should indicate which of the named supervisors you would be most interested in having as a primary supervisor (multiple faculty can be listed as potential supervisors). Please ensure that your surname is the first word in the subject line of the email and that all documents are clearly labelled with your surname and the type of document. All documents and references should be sent to MaxPlanckPhD at ucl.ac.uk by 26 August 2018 at midnight. Questions about the programme can be directed to MaxPlanckPhD at ucl.ac.uk. -------------- next part -------------- An HTML attachment was scrubbed... URL: From barros at informatik.uni-hamburg.de Mon Jul 30 10:46:00 2018 From: barros at informatik.uni-hamburg.de (Pablo Barros) Date: Mon, 30 Jul 2018 16:46:00 +0200 Subject: Connectionists: CFP: Workshop on Crossmodal Learning for Intelligent Robotics in conjunction with IEEE/RSJ IROS 2018 Message-ID: <7e1514f5-417f-17ff-4dd4-b9640c3de327@informatik.uni-hamburg.de> **Apologies for cross-posting** 1st CALL FOR PAPERS for the international workshop: * Crossmodal Learning for Intelligent Robotics * in conjunction with IEEE/RSJ IROS 2018 * Madrid, Spain - Friday 5 October 2018 * * Website: http://www.informatik.uni-hamburg.de/wtm/WorkshopCLIR18/index.php * I. Aim and Scope The ability to efficiently process crossmodal information is a key feature of the human brain that provides a robust perceptual experience and behavioural responses. Consequently, the processing and integration of multisensory information streams such as vision, audio, haptics and proprioception play a crucial role in the development of autonomous agents and cognitive robots, yielding an efficient interaction with the environment also under conditions of sensory uncertainty. Multisensory representations have been shown to improve performance in the research areas of human-robot interaction and sensory-driven motor behaviour. The perception, integration, and segregation of multisensory cues improve the capability to physically interact with objects and persons with higher levels of autonomy. However, the multisensory input must be represented and integrated in an appropriate way so that they result in a reliable perceptual experience aimed to trigger adequate behavioural responses. The interplay of multisensory representations can be used to solve stimulus-driven conflicts for executive control. Embodied agents can develop complex sensorimotor behaviour through the interaction with a crossmodal environment, leading to the development and evaluation of scenarios that better reflect the challenges faced by operating robots in the real world. This half-day workshop focuses on presenting and discussing new findings, theories, systems, and trends in crossmodal learning applied to neurocognitive robotics. The workshop will feature a list of invited speakers with outstanding expertise in crossmodal learning. II. Target Audience This workshop is open to doctoral students and senior researchers working in computer and cognitive science, psychology, neuroscience and related areas with the focus on crossmodal learning. III. Confirmed Speakers ?? ?? 1.?? * Yulia Sandamirskaya * ?????????? Institute of Neuroinformatics (INI), University and ETH Zurich ?? 2.?? * Angelo Cangelosi * ?????????? Plymouth University and University of Manchester, UK ?? 3.?? * Stefan Wermter * ?????????? Hamburg University, Germany ?? IV. Submission ??? 1. Topics of interest: ?? - New methods and applications for crossmodal processing ???? (e.g., integrating vision, audio, haptics, proprioception) ?? - Machine learning and neural networks for multisensory robot perception ?? - Computational models of crossmodal attention and perception ?? - Bio-inspired approaches for crossmodal learning ?? - Crossmodal conflict resolution and executive control ?? - Sensorimotor learning for autonomous agents and robots ?? - Crossmodal learning for embodied and cognitive robots ?? 2. For paper submission, use the following IEEE template: ?? * ?? ?? 3. Submitted papers should be limited to *2 pages (extended abstract)* or *4 pages (short paper)*. ?? 4. Send your pdf file to barros at informatik.uni-hamburg.de AND jirak at informatik.uni-hamburg.de ?? Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Contributors to the workshop will be invited to submit extended versions of the manuscripts to a special issue (to be arranged).? Submissions will be peer reviewed consistent with the journal practices. V. Important Dates ?? * Paper submission deadline: August 15, 2018 ?? * Notification of acceptance: September 5, 2018 ?? * Camera-ready version: September 15, 2018 ?? * Workshop: Friday 5 October 2018 ?? VI. Organizers ?? * German I. Parisi * Hamburg University, Germany ?? * Pablo Barros * Hamburg University, Germany ?? * Doreen Jirak * Hamburg University, Germany ?? * Jun Tani * Okinawa Institute of Science and Technology, Japan ?? * Yoonsuck Choe * Samsung Research & Texas A&M University, TX, USA -- Dr.rer.nat. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) 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 https://www.inf.uni-hamburg.de/en/inst/ab/wtm/ From m.plumbley at surrey.ac.uk Mon Jul 30 11:48:50 2018 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Mon, 30 Jul 2018 15:48:50 +0000 Subject: Connectionists: DCASE 2018 Workshop - EXTENDED DEADLINE: August 6 [Extended for Workshop only] Message-ID: Dear Connectionists, (please feel free to forward to anyone interested) By popular demand, we have extended the submission deadline for the DCASE 2018 Workshop until August 6. Please note that the deadline for submitting to the DCASE 2018 Challenges remains the same, July 31. See all details in the CfP below. Best Wishes, The DCASE 2018 team ------------------- DCASE 2018 Workshop on Detection and Classification of Acoustic Scenes and Events 19-20 November 2018, Woking, Surrey, UK ** Paper submission: 6 August 2018 - Extended for Workshop only ** http://dcase.community/workshop2018/ DCASE 2018 Workshop is the third workshop on Detection and Classification of Acoustic Scenes and Events, being organized for the third time in conjunction with the DCASE challenge. We aim to bring together researchers from many different universities and companies with interest in the topic, and provide the opportunity for scientific exchange of ideas and opinions. The technical program will include invited speakers on the topic of computational everyday sound analysis and recognition, and oral and poster presentations of accepted papers. In addition, a special poster session will be dedicated to the DCASE 2018 challenge entries. The results of the Detection and Classification of Acoustic Scenes and Events (DCASE) challenge 2018 will also be announced at the workshop. ** Call for papers ** We invite submissions on the topics of computational analysis of acoustic scenes and sound events, including but not limited to: Tasks in computational environmental audio analysis - Acoustic scene classification - Sound event detection and localization - Audio tagging - Challenges in real-life applications (e.g., rare events, overlapping sound events, weak labels) Methods for computational environmental audio analysis - Signal processing methods - Machine learning methods - Auditory-motivated methods - Cross-disciplinary methods involving, e.g., acoustics, biology, psychology, geography, materials science, transports science Resources, applications, and evaluation of computational environmental audio analysis - Publicly available datasets or software, taxonomies and ontologies, evaluation procedures - Ethics, privacy, responsible research - Applications - Description of systems submitted to the DCASE 2018 Challenge ** Submission ** Papers are to be formatted as 4+1 pages. Papers are maximum 5 pages, including all text, figures, and references, with the 5th page containing only references. For paper templates and instructions on how to submit, see http://dcase.community/workshop2018/author-instructions and http://dcase.community/workshop2018/submission ** Venue ** WWF Living Planet Centre, Woking, Surrey, UK ** Important dates: Paper submission: 6 August 2018 - Extended for Workshop only [NB: Challenge submission deadline remains: 31 July] Notification of acceptance: 17 Sept 2018 Workshop: 19-20 November 2018 ** Chairs General Chairs Mark Plumbley, University of Surrey, UK Christian Kroos, University of Surrey, UK Program Chairs Ga?l Richard, T?l?com ParisTech, France Juan Pablo Bello, New York University, USA ** More information http://dcase.community/workshop2018/ dcase.workshop at gmail.com -- 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 ============================================================================= DCASE 2018 - Detection and Classification of Acoustic Scenes and Events Challenge: 30 March - 31 July 2018 Workshop: 19 - 20 November 2018, Surrey, UK Paper submission deadline: 31 July 2018 http://dcase.community/workshop2018/ http://dcase.community/challenge2018/ ============================================================================= From adina.roskies at dartmouth.edu Mon Jul 30 23:05:28 2018 From: adina.roskies at dartmouth.edu (adina roskies) Date: Tue, 31 Jul 2018 03:05:28 +0000 Subject: Connectionists: Postdoctoral researcher in Cognitive Science Message-ID: <877F6595-42AB-4964-9523-9E1070C1B89D@dartmouth.edu> Postdoctoral researcher in Cognitive Science Location: Hanover, NH Position URL: apply.interfolio.com/52751 Position Description The Cognitive Science Program at Dartmouth College invites applications for a postdoctoral position, in a cognate discipline such as Linguistics, Philosophy, Computer Science, or Psychology or Neuroscience. The position would involve teaching 2 courses (10 weeks each) plus some administrative duties in the fledgling cognitive science program (primarily undergraduate advising), but would leave ample time for your own research. This is a two year position beginning September 1, 2018 or as soon as feasible. Candidates should have a PhD or be ABD, and strong research record in some area of cognitive science, as well as an ability to teach cross-disciplinary cognitive science courses to undergraduates. We seek applicants with a record of successful teaching and mentoring of students from all backgrounds (including first-generation college students, low-income students, racial and ethnic minorities, women, LGBTQ, etc.). Dartmouth College, a member of the Ivy League, is located in Hanover, New Hampshire. Dartmouth has a beautiful, historic campus, located in a scenic area on the Connecticut River. Recreational opportunities abound all year. The program (cognitive-science.dartmouth.edu) is in the School of Arts and Sciences, with abundant collegial interaction among faculty across multiple departments and schools. Application Instructions Applicants should submit cover letter, curriculum vitae, one piece of written work, and three letters of reference. Candidates should apply to https://apply.interfolio.com/52751 . Review of applications will begin immediately. Questions regarding the application process should be directed to Elizabeth Cassell (Liz.Cassell at dartmouth.edu) -------------- next part -------------- An HTML attachment was scrubbed... URL: From sandayci at rub.de Tue Jul 31 06:47:06 2018 From: sandayci at rub.de (Yulia Sandamirskaya) Date: Tue, 31 Jul 2018 12:47:06 +0200 Subject: Connectionists: Unconventional vision: IROS 2018 Workshop Message-ID: <3CE0FA1C-E91A-49BC-B98D-037FC9D01C66@rub.de> Unconventional Sensing and Processing for Robotic Visual Perception, IROS 2018 Workshop * Technical program, schedule, and speakers info are now updated on: http://iros2018-uvsp.org * Event dates: October 5, 2018, 14:30 - 19:00 Madrid Municipal Conference Centre, Madrid, Spain * We are proud to confirm our excellent speakers: Fran?ois Berry Institute Pascal-CNRS, France Luca Benini ETH Zurich, Switzerland J?rg Conradt KTH, Sweden Margarita Chli ETH Zurich, Switzerland Guido de Croon TU Delft, The Netherlands Tobi Delbruck ETH Zurich, Switzerland Piotr Dudek University of Manchester, United Kingdom Andrew Davison Imperial College London, United Kingdom Justus Piater University of Innsbruck, Austria Davide Scaramuzza University of Zurich, Switzerland * Submissions: Deadline for abstract submission is Aug. 1, however, we will accept short abstracts (300 words) for poster and demo presentations until Aug. 20. Abstracts can be submitted over easychair: https://easychair.org/account/signin.cgi?timeout=1;key=75287428.APwGdP6W62gzEPiY or via Email: ysandamirskaya at ini.uzh.ch . Please, find more information on the abstract submission and topics on the Workshop webpage: http://www.iros2018-uvsp.org? . * The registration site of the main conference (?Workshops and Tutorials?) can be used to register for the workshop: https://www.iros2018.org/registration * Organisers: Julien Martel (ETH Zurich) Yulia Sandamirskaya (University of Zurich & ETH Z?rich) J?rg Conradt (KTH, Stockholm) We are looking forward to welcome you at this event! ? Dr. Yulia Sandamirskaya Institute of Neuroinformatics (INI) Neuroscience Center Zurich (ZNZ) University and ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: yulia.sandamirskaya at ini. uzh.ch Tel: +41 77 97 46613, +41 44 63 53045 -------------- next part -------------- An HTML attachment was scrubbed... URL: From rod.rinkus at gmail.com Tue Jul 31 12:31:49 2018 From: rod.rinkus at gmail.com (Rod Rinkus) Date: Tue, 31 Jul 2018 12:31:49 -0400 Subject: Connectionists: A biologically motivated and more powerful alternative to locality-sensitive hashing Message-ID: Dear Connectionists, I believe this community will be interested in a new downloadable Java app that I 've just made available on my web site (on this page ), which describes an alternative, biologically motivated/plausible, way to achieve the goals of locality-sensitive hashing (LSH). This alternative model, called Sparsey, achieves a much more general notion of similarity preservation than LSH, and has many other advantages as well. Sparsey has a natural correspondence to the brain's cortex, centering on the idea that all items of information are stored as sparse distributed codes (SDCs), a.k.a., cell assemblies, in superposition in mesoscale cortical modules, e.g., macrocolumns (though other structures, e.g., mushroom bodies, are also candidates). Briefly, Sparsey preserves similarity from input space to SDR code space (measured as intersection size) as follows. - The process of choosing an SDR takes the form of Q independent softmax choices, one in each of the Q WTA competitive modules (CMs) that comprise the SDR coding field. - The familiarity (inverse novelty) of the input, denoted "G", which is in [0,1], is computed. This is an extremely simple computation. - The amount of noise in those Q softmax choice processes is modulated as a function of G. Basically, the softmax is over the distribution of input summations of the competing cells (in a given CM), but we use G to modulate (i.e. sharpen vs. flatten) those distributions. - When G is near 1 (perfect familiarity), the distributions are greatly sharpened, causing the expected number of CMs in which the cell with the highest input summation wins (and thus, the expected intersection of the resulting SDR with the closest matching previously stored SDR) to increase towards Q. When G is near 0 (completely novel), the distributions are flattened, causing the expected number of CMs in which the cell with max input summation wins (and thus, the expected intersection of the resulting SDR with the closest matching previously stored SDR) to decrease towards chance. In other words, this G-based modulation of the distributions, which can be viewed as varying the amount of noise in the choice process, achieves similarity preservation. I encourage members of this community to explore the app to understand this simple and more powerful alternative to LSH. Sincerely, Rod Rinkus -- Gerard (Rod) Rinkus, PhD President, rod at neurithmicsystems dot com Neurithmic Systems LLC 275 Grove Street, Suite 2-400 Newton, MA 02466 617-997-6272 Visiting Scientist, Lisman Lab Volen Center for Complex Systems Brandeis University, Waltham, MA grinkus at brandeis dot edu http://people.brandeis.edu/~grinkus/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.aly at em.ci.ritsumei.ac.jp Tue Jul 31 10:52:48 2018 From: amir.aly at em.ci.ritsumei.ac.jp (Amir Aly) Date: Tue, 31 Jul 2018 23:52:48 +0900 Subject: Connectionists: [CFP] IROS-2018 Workshop: Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens Message-ID: CALL FOR PAPERS **Apologies for cross posting ** We are pleased to call for papers for the IROS-2018 workshop: "*Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens*" In conjunction with the *IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)** - Madrid - Spain - October * *5th, 2018* *Webpage: **http://intelligent-social-robots-ws.com/* *I. Aim and Scope *Robots that cook creatively, clean up our rooms dutifully, entertain our guests wittily and keep us company loyally. Robots that assist human users in their daily chores and provide support in times of need. Researchers around the world have envisioned such robot companions for a long time. Thanks to numerous innovations in sensor technology and software development, robots are now increasingly able to plan complex tasks in unknown environments, learn from experience and adapt to changes in the environment. The greatest challenges in robotics now lie in the development of robot skills and high-level AI-based functionalities that enable robots to work effectively in close collaboration with humans. Aside from the numerous technical challenges, which must be overcome before this vision can become a reality, multi-disciplinary research efforts are also invested into the social engineering of robots. In order to engineer ?smart? robots that we accept, trust and welcome into our homes, it is paramount that we identify and investigate the factors that affect social interactions between humans and robots. For this purpose, computer scientists, AI researchers, engineers and psychologists tackle important questions that will determine whether robots will be perceived as helpful and reliable companions or as irritating nuisances. How should robots look, behave and communicate with us? What are our expectations of robot behavior in a social context? How can robots learn using the capabilities of their environments to achieve tasks and to address the needs of their human co-inhabitants? What kind of robot intelligence is required for what kind of tasks? In this workshop, participants will discuss with seasoned experts and young researchers what defines social and artificial intelligence for ?smart? robots and how modern technological advances can equip robots with such intelligence. As such, this workshop aims to shed light on the intersection between cognitive science, artificial intelligence, and robotics research both from the theoretical and technical perspectives. Recent advances and possible avenues for future research in the field of ?smart? robotics are principal topics of discussion during the workshop. ** *This workshop is endorsed by the IEEE Technical Committees*: *Human-Robot Interaction and Coordination, Cognitive Robotics, and Robot Learning*. *II. Keynote Speakers * 1. * Angelo Cangelosi *? University of Manchester/Plymouth ? UK 2. *Yiannis Aloimonos *? University of Maryland ? USA 3. * Selma Sabanovic *? Indiana University ? USA 4. *Michael Beetz* ? University of Bremen ? Germany 5. *Matthias Scheutz *? Tufts University ? USA *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission * . 2. Use the IEEE style (two-column format ? US letter): *IEEE Templates *. 3. Submitted papers should be limited to 2-6 pages maximum. The primary list of topics covers the following points (but not limited to): - 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 - Cloud robotics and ubiquitous computing - Ambient assisted living - Human intention recognition and prediction - Robot acceptance - Social engineering - Language learning, embodiment, and social intelligence - Computational modeling for high-level human cognitive functions - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Language and action development - Learning, reasoning, and adaptation in collaborative human-robot tasks - Affordance learning - Learning by demonstration and imitation - Language and grammar induction in robots * IV. Important Dates * 1. Paper submission: *20-August-2018 * 2. Notification of acceptance: *30-August-2018* 3. Camera-ready version:* 7-September-2018 * 4. Workshop: *5-October-2018* *V. Organizers * 1. *Amir Aly *? Ritsumeikan University ? Japan 2. *Sascha Griffiths *? Hamburg University ? Germany 3. * Verena Nitsch *? Bundeswehr University ? Germany 4. *Katerina Pastra* ? Cognitive Systems Research Institute ? Greece 5. *Tadahiro Taniguchi* ? Ritsumeikan University ? Japan ---------------------- *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 nguyensmai at gmail.com Tue Jul 31 11:47:35 2018 From: nguyensmai at gmail.com (Nguyen, Sao Mai) Date: Tue, 31 Jul 2018 17:47:35 +0200 Subject: Connectionists: CfP : Workshop on Continual Unsupervised Sensorimotor Learning, IEEE ICDL 2018 In-Reply-To: References: Message-ID: *2nd Call for Contributions* IEEE ICDL -2018 workshop on Continual Unsupervised Sensorimotor Learning 17th September 2018, Tokyo, Japan Website : http://conferences.au.dk/icdl-epirob-2018-workshop Participants are invited to submit short papers (max 4 pages) following the standard IEEE conference template. Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Authors will be invited to submit extended versions of their papers for a special issue on Continual Unsupervised Sensorimotor Learning at IEEE TCDS. ================================================================== Scope As the algorithms for learning single tasks in restricted environments are improving, new challenges have gained relevance. They include multi-task learning, multimodal sensorimotor learning in open worlds and lifelong adaptation to injury, growth and ageing. In this workshop we will discuss the developmental processes involved in the emergence of representations of action and perception in humans and artificial agents in continual learning. These processes include action-perception cycle, active perception, continual sensory-motor learning, environmental-driven scaffolding, and intrinsic motivation. The discussion will be strongly motivated by behavioural and neural data. We hope to provide a discussion friendly environment to connect with research with similar interest regardless of their area of expertise which could include robotics, computer science, psychology, neuroscience, etc. We would also like to devise a roadmap or strategies to develop mathematical and computational models to improve robot performance and/or to attempt to unveil the underlying mechanisms that lead to continual adaptation to changing environment or embodiment and continual learning in open-ended environments. The primary list of topics covers the following (but not limited to): - Emergence of representations via continual interaction - Continual sensory-motor learning - Action-perception cycle - Active perception - Environmental-driven scaffolding - Intrinsic motivation - Neural substrates, neural circuits and neural plasticity - Human and animal behaviour experiments and models - Reinforcement learning and deep reinforcement learning for life-long learning - Multisensory robot learning - Multimodal sensorimotor learning - Affordance learning - Prediction learning Invited Speakers - Jochen Triesch, Frankfurt Institute of Advanced Studies, Germany - Emre Ugur, Bo?azi?i University, Turkey (to be confirmed) - Yukie Nagai, Center for Information and Neural Networks, Japan (to be confirmed) - David Ha, Google Brain (to be confirmed) Call for Papers: Prospective participants in the workshop are required to submit a contribution as a short paper (max 4 pages) Submissions must be in PDF following the standard IEEE conference style . Send your PDF manuscript indicating [ICDL-EPIROB 2018] in the subject to: erhan.oztop at ozyegin.edu.tr Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Contributors to the workshop will be encouraged to submit extended versions of the manuscripts to a special issue at IEEE Transactions on Cognitive and Developmental Systems (TCDS). Submissions will be peer reviewed consistent with the journal practices. Important Dates: Paper submission deadline: 5th August 2018 Notification of acceptance: 20th August 2018 Camera-ready version: 9th September 2018 Half-day workshop: 17th September 2018 Organizers: - Nicol?s Navarro-Guerrero, Aarhus University, Aarhus, Denmark - Sao Mai Nguyen, IMT Atlantique, France - Erhan ?ztop, ?zye?in University, Turkey - Junpei Zhong, National Institute of Advanced Industrial Science and Technology (AIST), Japan Nguyen Sao Mai nguyensmai at gmail.com Researcher in Cognitive Developmental Robotics http://nguyensmai.free.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: