From suashdeb at gmail.com Sun Dec 1 21:43:41 2019 From: suashdeb at gmail.com (Suash Deb) Date: Mon, 2 Dec 2019 08:13:41 +0530 Subject: Connectionists: Final extension of Deadline (lSMSl20- Bhutan) Message-ID: Dear esteemed colleagues Warm greetings. Thanks to all of you for all your efforts in promoting the lSMSl20 conference among your peers &/or submission of your own manuscripts for the same. This is to inform you that in order to accommodate the request of some of the peers, the deadline for submission of manuscripts for ISMSI20 has been granted extension for a last & final time, till Dec 30, 2019 http://ismsi.org/ l would appreciate your sharing the same with your peers & especially with those who due to other commitments, could not complete & submit papers till now. Thanks once more to all of you for your support for ISMSI20 & l do hope to cross paths with all of you in Thimphu, Bhutan next year. With kind rgds, Suash From lpulina at uniss.it Mon Dec 2 02:03:42 2019 From: lpulina at uniss.it (Luca Pulina) Date: Mon, 2 Dec 2019 08:03:42 +0100 Subject: Connectionists: [CfP] SAT2020 - The 23rd International Conference on , , Theory and Applications of Satisfiability Testing Message-ID: ******************** Call for Papers ******************** ???????????The 23rd International Conference on ?????Theory and Applications of Satisfiability Testing ???????????????????????(SAT 2020) ?????????????5-9 July 2020, Alghero, Italy ?????????http://sat2020.idea-researchlab.org/ ********************************************************* The International Conference on Theory and Applications of Satisfiability Testing (SAT) is the premier annual meeting for researchers focusing on the theory and applications of the propositional satisfiability problem, broadly construed. In addition to plain propositional satisfiability, it also includes Boolean optimization (such as MaxSAT and Pseudo-Boolean (PB) constraints), Quantified Boolean Formulas (QBF), Satisfiability Modulo Theories (SMT), and Constraint Programming (CP) for problems with clear connections to Boolean-level reasoning. *** Scope *** SAT 2020 welcomes scientific contributions addressing different aspects of the satisfiability problem, interpreted in a broad sense. Topics include, but are not restricted to: * Theoretical advances * Practical search algorithms * Knowledge compilation * Implementation-level details of SAT solving tools * Problem encodings and reformulations * Applications * Case studies based on rigorous experimentation *** Out of Scope *** Papers claiming to resolve a major long-standing open theoretical question in Mathematics or Computer Science (such as those for which a Millennium Prize is offered), are outside the scope of the conference because there is insufficient time in the schedule to referee such papers; instead, such papers should be submitted to an appropriate technical journal. *** Paper Categories *** Submissions to SAT 2020 are solicited in three categories, describing original contributions. * Long papers (9 to 15 pages, excluding references) * Short papers (up to 8 pages, excluding references) * Tool papers (up to 6 pages, excluding references) Long and short papers should contain original research, with sufficient detail to assess the merits and relevance of the contribution. For papers reporting experimental results, authors are strongly encouraged to make their data and implementations available with their submission. Submissions on applications and cases studies are especially welcome. Such papers should describe details, weaknesses and strengths of the considered approaches in sufficient depth, but they are not expected to introduce novel solving approaches. Tool papers must obey to specific content criteria. A tool paper should describe the implemented tool and its novel features. Here ?tools? are interpreted in a broad sense, including descriptions of implemented solvers, preprocessors, etc. as well as systems that exploit SAT solvers or their extensions for use in interesting problem domains. A demonstration is expected to accompany a tool presentation. Papers describing tools that have already been presented previously are expected to contain significant and clear enhancements to the tool. Long and short papers will be evaluated with the same quality standards, and are expected to contain a similar contribution per page ratio. *** Submissions *** Submissions should not be under review elsewhere nor be submitted elsewhere while under review for SAT 2020, and should not consist of previously published material. Submissions not consistent with the above guidelines may be returned without review. All papers submissions are done exclusively via EasyChair in Springer?s LaTeX llncs2e style. One author of each accepted paper is expected to present it at the conference. Further details can be found at the website of SAT 2020: http://sat2020.idea-researchlab.org/ *** Proceedings *** The proceedings will be published by Springer in the series Lecture Notes in Computer Science, seewww.springer.com/lncs . *** Important Dates *** Workshops? ? ? ? ? ? ? ? July 5, 2020 Conference ? ? ? ? ? ? ? July 6-9, 2020 Abstract submission? ? ? February 15, 2020 Paper submission ? ? ? ? February 22, 2020 Author response period ? March 29 ? April 2, 2020 Author notification? ? ? April 18, 2020 Camera-ready ? ? ? ? ? ? May 3, 2020 *** Organization *** Program Chairs * Luca Pulina, University of Sassari * Martina Seidl, Johannes Kepler University Linz Workshop Chair * Florian Lonsing, Stanford University Publicity Chair * Laura Pandolfo, University of Sassari Program Committee * Fahiem Bacchus, University of Toronto * Olaf Beyersdorff, Friedrich Schiller University Jena * Armin Biere, Johannes Kepler University Linz * Nikolaj Bjorner, Microsoft * Maria Luisa Bonet, Universitat Polit?cnica de Catalunya * Sam Buss, University of California San Diego * Florent Capelli, Universit? de Lille * Pascal Fontaine, Universit? de Li?ge, Belgium * Marijn Heule, Carnegie Mellon University * Alexey Ignatiev, Universidade de Lisboa * Mikolas Janota, University of Lisbon * Matti J?rvisalo, University of Helsinki * Oliver Kullmann, Swansea University * Jie-Hong Roland Jiang, National Taiwan University * Jan Johannsen, Ludwig Maximilian University of Munich * Benjamin Kiesl, CISPA Helmholtz Center for Information Security * Daniel Le Berre, Universit? d?Artois * Florian Lonsing, Stanford University * Ines Lynce, Universidade de Lisboa * Vasco Manquinho, Universidade de Lisboa, Portugal * Felip Many?, IIIA-CSIC * Joao Marques-Silva, University of Toulouse * Ruben Martins, Carnegie Mellon University * Kuldeep S. Meel, National University of Singapore * Alexander Nadel, Intel * Aina Niemetz, Stanford University * Jakob Nordstrom, University of Copenhagen * Markus N. Rabe, Google * Roberto Sebastiani, University of Trento * Natasha Sharygina, Universit? della Svizzera italiana * Laurent Simon, Bordeaux Institute of Technology * Friedrich Slivovsky, Vienna University of Technology * Stefan Szeider, Vienna University of Technology * Ralf Wimmer, Concept Engineering GmbH & Albert-Ludwigs-Universit?t Freiburg * Christoph M. Wintersteiger, Microsoft *** Contact *** For any questions, please contact sat2020 at easychair.org -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From cfgranda at gmail.com Sun Dec 1 19:01:36 2019 From: cfgranda at gmail.com (Carlos Fernandez-Granda) Date: Sun, 1 Dec 2019 19:01:36 -0500 Subject: Connectionists: Postdoctoral positions at NYU Message-ID: Two postdoctoral positions are available in the lab of Carlos Fernandez-Granda at the Courant Institute and Center for Data Science at NYU: - *Machine learning for healthcare*: The focus is the design of deep-learning methodology for medical applications, with emphasis on domain adaptation, high-dimensional signal processing, and semi-supervised learning. The developed techniques will be applied to automatic quantification of rehabilitation dose in stroke patients from sensor and camera data, in collaboration with the Mobilis Lab in the Department of Neurology at NYU School of Medicine, which aims to enhance motor recovery after stroke. Link: https://apply.interfolio.com/66997 - *Machine learning for dynamical systems*: The focus is the design of machine-learning methodology for the analysis of dynamic systems, with potential applications to computer vision, material science and molecular biology. Link: https://apply.interfolio.com/69741 *Qualifications* Candidates should possess a Ph.D. in Computer Science, Electrical Engineering, Data Science, or related disciplines. In addition, they should have a strong background in machine learning, and solid programming skills. They must have the ability to work independently and with an interdisciplinary team. *Application Instructions* Interested candidates should submit (1) a CV, (2) a brief cover letter explaining their research experience, how their interests would fit the goals of the project, career plans, and available start date, and (3) the names and contact information of three references familiar with the applicant?s research and academic work. -------------- next part -------------- An HTML attachment was scrubbed... URL: From eneftci at uci.edu Mon Dec 2 04:01:05 2019 From: eneftci at uci.edu (Emre Neftci) Date: Mon, 02 Dec 2019 10:01:05 +0100 Subject: Connectionists: =?utf-8?q?Call_for_Topic_Area_Proposals=3A_2020_T?= =?utf-8?q?elluride_Neuromorphic_Cognition_Engineering_Workshop?= Message-ID: Call for Topic Area Proposals 2020 Telluride Neuromorphic Cognition Engineering Workshop Telluride, Colorado, June 28 ?July 17, 2020 DEADLINE: Friday, January 10th, 2020 We are currently accepting proposals for Topic Areas in the 2020 Telluride Neuromorphic Cognition Engineering Workshop. For over two decades, the Workshop has been influential in shaping the field of neuromorphic engineering and connecting multiple disciplines, including neuroscience, cognitive science, machine learning, robotics, control, computer vision and audition. For the 2020 workshop, we seek proposals that touch on learning and intelligence and with an emphasis on closing the loop between perception, cognition, learning, and the motor system. Projects should involve neuromorphic and bio-inspired concepts or connect from these areas to other mainstream areas such as deep learning. We support topic areas that touch on the following domains: - Neural architectures for cognitive computing - Applications of neuromorphic technology (sensor and computing platforms) on "real-world" tasks in areas such as computer vision, audition, and robot control. - Mathematical models and algorithms for event processing including deep learning and signal processing algorithms - Higher-level cognition, language, and reasoning - Robotics for navigation and manipulation including control Topic area proposals should include a list of projects and also target an "everyday" task that biological brains solve with ease. Projects should focus on those which pose significant challenges to current artificial computing systems. They should also have a tutorial component for the workshop participants. Topic areas should aim for impressive demonstrators as the outcome of three weeks of focused work. Successful proposals in the past have focused on topics such as navigating through an unknown environment, visual and auditory understanding of scenes and human actions in real-time environments, adaptively manipulating objects in the service of a household task, neural network architectures for cognitive computing and their efficient hardware implementation, EEG-based systems to decode acoustic events, neuroprosthetic control, deep learning systems and transfer learning, etc. See these example topic areas from the 2019 workshop. Topic area organizers are expected to be actively involved in coordination activities with other areas, e.g., advertising their topic area on the Workshop website, inviting top researchers covering different aspects of their project, and actively promoting the Workshop for applicants that could be interested in their topic area. Topic proposals must include hands-on tutorials and educational overview presentations. Topic areas are meant to educate participating students, establish new links between disciplines, critically evaluate competing approaches, and encourage after-workshop collaboration between groups. Topic area leaders will receive housing for themselves and their invitees (only up to 6 bedrooms), and limited travel funds. Topic area leaders will help to define the field of neuromorphic cognition engineering through the projects they pursue and the people they invite. They shape their topic by inviting speakers and project staff (the invitees) and by initiating topic discussions during and prior to the workshop. Proposals with exactly 2 topic leaders are required, and at least one leader must be present at any given time during the workshop. Pre-workshop topic area choices and study assignments. At least one week before the workshop begins, each topic area will be required to prepare and distribute study materials that constitute: 1) an introductory presentation (e.g., pptx, video, review paper) of the fundamental knowledge associated with the topic area that everyone at the workshop should be exposed to, 2) a collection of a few critical papers that the participants in the topic area should read before the workshop, and 3) a syllabus of the first week hands-on tutorial exercises. The topic area should begin a group discussion of the projects (e.g., via the workshop wiki, Skype, email, etc). The maximum 3-page proposals should include: - Title of topic area. - Names of the two topic leaders, their affiliations, and contact information (email addresses). Please note that there can only be TWO topic leaders. Other co-organizers or supporting staff can be named as invitees. - A paragraph explaining the focus and goals of the topic area and its relation to the goals of expanding the neuromorphic community. - A list of possible specific topic area projects. - A clear plan to prepare students for the project, including a syllabus of lectures and hands-on tutorials at the workshop with preparatory material (websites, software, video lectures, etc). - A list of (neuromorphic or otherwise) sensors, hardware platforms, software packages, robots, or any other special equipment that are a part of your topic area project. - A list of planned invitees that you have contacted (up to six names and institutions). - Any other material that fits within the three-page limit that will help us make a smart choice. Send your topic area proposal in pdf or text format to neuromorph-org20 at googlegroups.com with subject line containing "topic area proposal". If you do not get a response confirming receipt of your proposal, please contact one of the workshop organizers directly. Proposals must be received by the deadline (see start of this document); proposals received after the deadline may still be considered if space is available. We expect to accept 4 topic areas. We hope to have significant turn-over each year in the topic areas and leaders to ensure fresh new ideas and participants. The workshop is organized by the Institute of Neuromorphic Engineering. See https://tellurideneuromorphic.org for the 2020 workshop web page. We look forward to your topic proposals! The 2020 Workshop Organizing Team: Shih-Chii Liu (University of Zurich and ETH Zurich) Emre Neftci (University of California, Irvine) Cornelia Ferm?ller (University of Maryland) Guido Zarrella (MITRE) Terry Stewart (National Research Council of Canada) Andreas Andreou (John Hopkins University) Tobi Delbruck (University of Zurich and ETH Zurich) -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/), Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100 From joern.diedrichsen at googlemail.com Mon Dec 2 12:03:33 2019 From: joern.diedrichsen at googlemail.com (=?utf-8?Q?J=C3=B6rn_Diedrichsen?=) Date: Mon, 2 Dec 2019 12:03:33 -0500 Subject: Connectionists: Postdoctoral Fellowships at the Computational Brain Science group at Western University Message-ID: Postdoctoral Fellowships at the Computational Brain Science group at Western University The newly formed Computational Brain Sciences Group at Western University offers postdoctoral positions through Western?s prestigious BrainsCAN postdoctoral fellowship program . Applicants should have a PhD in a computational or neuroscience-related field. Candidates with expertise in both are strongly preferred. The successful applicant will play a key role in neuroimaging and computational investigations of human brain function. They will enjoy working as part of an interdisciplinary collaborative team and will join the Brain and Mind Institute (BMI), which is one of the leading centres in cognitive neuroscience in Canada. The BMI hosts a full range of ultra-high field, research-dedicated MRI scanners and state-of-the-art research facilities for cognitive, behavioural, and neurophysiological testing. The applicant should contact one or more potential supervisors with a cover letter, a detailed CV and 2-3 referees. Review of applicants will start on Dec 15, 2019. The deadline for submitting the final proposal is Feb 1st, 2020. In brief, applicants must be no more than 6 years post-PhD and the salaries are highly competitive (55-70K per year, CDN, with additional benefits). The proposed research should fit within the broad BrainsCAN remit, which covers research that addresses fundamental questions regarding how we learn, think, move, and communicate. J?rn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistics Email: jdiedric at uwo.ca Tel: 1-519-661-2111 x86994 -------------- next part -------------- An HTML attachment was scrubbed... URL: From april.robocup at gmail.com Mon Dec 2 12:56:00 2019 From: april.robocup at gmail.com (April Foster) Date: Mon, 2 Dec 2019 12:56:00 -0500 Subject: Connectionists: RoboCup Visiting Fellows Program - Call for Applications - Due Feb. 1 In-Reply-To: References: Message-ID: RoboCup Visiting Fellows Program - Feb. 1st ======================================================= Ever since 1997, The RoboCup Federation has been holding annual international research competitions and symposia in an effort to push the state of the art in robotics, artificial intelligence, and related fields. The community remains healthy and vibrant, with students, postdocs, professors, and industry professionals meeting each year to compete and share their knowledge in a wide range of research competitions. Based on the beliefs that 1) RoboCup is a unique and special community and venue within the research community, and 2) that the only way to fully appreciate what it has to offer is to experience it firsthand, the RCF is pleased to announce a new RoboCup Visiting Fellows program. Successful applicants will receive: - full travel support for two people from your home institution and free registration to the 2020 international RoboCup in Bordeaux, France on June 23-29, 2019, as an honored guest and observer. - up to an additional $10k USD in reimbursements of start-up expenses needed to start a new team for entry in 2021 and/or 2022 RoboCup events. - detailed, behind-the-scenes education about how the RoboCup community works, including meetings with current organizers and participants. The ideal applicants will be: - a pair of University faculty and a Ph.D. student or postdoc who have never participated in RoboCup, and are interested in learning about and becoming a part of the community. Application Requirements: - please send your CVs and a 2-page statement of interest that includes research interests, how RoboCup could support those interests, and possible RoboCup league(s) of interest. - a statement detailing what exposure the applicants have had to RoboCup in the past, if any, as well as a statement of commitment to attend RoboCup in Bordeaux for 6 days, from June 23rd-29th. We particularly encourage applications from people from underrepresented groups within the RoboCup community based on gender, ethnicity, or geography. Submission Details: - please send your materials by February 1st to april.robocup at gmail.com Requirements: - In addition to attending RoboCup 2020, RoboCup Visiting Fellows will be asked to submit a report within a month after the event summarizing their overall impressions as well as a proposed budget of up to $10k for startup costs of a new team. We look forward to receiving your applications! Sincerely, The RoboCup Federation Visiting Fellows Committee Minoru Asada Claude Sammut Rong Xiong Peter Stone -------------- next part -------------- An HTML attachment was scrubbed... URL: From dayan at tue.mpg.de Tue Dec 3 01:21:40 2019 From: dayan at tue.mpg.de (Peter Dayan) Date: Tue, 3 Dec 2019 07:21:40 +0100 Subject: Connectionists: Neuroscience PhD Program, Tuebingen: deadline 15th Dec Message-ID: <20191203062140.GG6226@tuebingen.mpg.de> The Max Planck Institute for Biological Cybernetics and the University of T?bingen invite students from all over the world to apply for their interdisciplinary 5-year PhD program leading to a PhD in Neuroscience. Full funding will be available for top-ranked applicants. We are seeking talented, curious and open-minded young scientists with strong backgrounds in neuroscience, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, or engineering. Successful candidates will possess a burning aspiration to shape the future of neuroscience and the ability to thrive in a fast-paced, interdisciplinary, environment. The application deadline is December 15, 2019. Please visit: https://www.kyb.tuebingen.mpg.de/phd-program for more details and information about applying. The PhD program is a collaboration between the Max Planck Institute for Biological Cybernetics and the University of T?bingen. It is closely affiliated with the renowned Graduate Training Centre of Neuroscience, the centerpiece of neuroscience training in T?bingen. Students (who should have been awarded a Bachelor's degree by September 2020) will receive a broad interdisciplinary training in neuroscience, including expert teaching by international renowned scientists and individual and intensive mentoring. Potential research topics cover a variety of fields in systems neuroscience, cognitive and behavioral neuroscience, computational neuroscience, translational and clinical neuroscience as well as cellular and molecular neuroscience. Teaching and research are conducted in English. From t.hain at sheffield.ac.uk Mon Dec 2 11:15:05 2019 From: t.hain at sheffield.ac.uk (Thomas Hain) Date: Mon, 2 Dec 2019 16:15:05 +0000 Subject: Connectionists: Fully funded four-year PhD studentships in Speech And Language Technologies And Their Applications at the University of Sheffield Message-ID: UKRI Centre for Doctoral Training (CDT) in Speech and Language Technologies (SLT) and their Applications Department of Computer Science Faculty of Engineering University of Sheffield Fully-funded 4-year PhD studentships for research in Speech and Language Technologies (SLT) and their Applications ** Apply now for September 2020 intake. Up to 13 studentships available ** Deadline for applications: 31 January 2020. What makes the SLT CDT different: - Unique Doctor of Philosophy (PhD) with Integrated Postgraduate Diploma (PGDip) in SLT Leadership. - Bespoke cohort-based training programme running over the entire four years providing the necessary skills for academic and industrial leadership in the field, based on elements covering core SLT skills, research software engineering (RSE), ethics, innovation, entrepreneurship, management, and societal responsibility. - The centre is a world-leading hub for training scientists and engineers in SLT ? two core areas within artificial intelligence (AI) which are experiencing unprecedented growth and will continue to do so over the next decade. - Setting that fosters interdisciplinary approaches, innovation and engagement with real world users and awareness of the social and ethical consequences of work in this area. The benefits: - Four-year fully-funded studentship covering all fees and an enhanced stipend (?17,000 pa) - Generous personal allowance for research-related travel, conference attendance, specialist equipment, etc. - A full-time PhD with integrated PGDip incorporating 6 months of foundational SLT training prior to starting your research project - Supervision from a team of over 20 internationally leading SLT researchers, covering all core areas of modern SLT research, and a broader pool of over 50 academics in cognate disciplines with interests in SLTs and their application - Every PhD project underpinned by a real-world application, directly supported by one of over 30 industry partners. Partners include Google, Amazon, Microsoft, Nuance, NHS Digital and many more - A dedicated CDT workspace within a collaborative and inclusive research environment hosted by the Department of Computer Science - Work and live in Sheffield - a cultural centre on the edge of the Peak District National Park which is in the top 10 most affordable and safest UK university cities. About you: We are looking for students from a wide range of backgrounds interested in Speech and Language Technologies. - High-quality (ideally first class) undergraduate or masters (ideally distinction) degree in a relevant discipline. Suitable backgrounds include (but not limited to) computer science, informatics, engineering, linguistics, speech and language processing, mathematics, cognitive science, AI, physics, or a related discipline. - Regardless of background, you must be able to demonstrate mathematical aptitude (minimally to A-Level standard or equivalent) and experience of programming. - We particularly encourage applications from groups that are underrepresented in technology. - Candidates must satisfy the UKRI funding eligibility criteria. Students must have settled status in the UK and have been ?ordinarily resident? in the UK for at least 3 years prior to the start of the studentship. Full details of eligibility criteria can be found on our website. Applying: Applications are now sought for the September 2020 intake. Up to 13 studentships available. We operate a staged admissions process, with application deadlines throughout the year. The first deadline for applications is 31 January 2020. The second deadline is 31 May 2020. We may be able to consider applications received after 31 May 2020 if places are still available. Equally, all places may be allocated after the first deadline therefore we encourage you to apply early. Applications will be reviewed within 4 weeks of each deadline and short-listed applicants will be invited to interview. Interviews will be held in Sheffield. In some cases, because of the high volume of applications we receive, we may need more time to assess your application. If this is the case, we will let you know if we intend to do this. See our website for full details and guidance on how to apply: slt-cdt.ac.uk For an informal discussion about your application please contact us by email at: sltcdt-enquiries at sheffield.ac.uk By replying to this email or contacting sltcdt-enquiries at sheffield.ac.uk you consent to being contacted by the University of Sheffield in relation to the CDT. You are free to withdraw your permission in writing at any time. -- Best regards Thomas Hain -- Technical Program Chair, Interspeech 2019 Professor of Speech and Audio Technology Director CDT in Speecn and Language Technolgy Director Voicebase Centre for SLT Head of Speech and Hearing Reserach, Sheffield University -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Tue Dec 3 05:21:31 2019 From: interdonatos at gmail.com (Roberto Interdonato) Date: Tue, 3 Dec 2019 11:21:31 +0100 Subject: Connectionists: DEADLINE EXTENSION: "Reloading Feature-rich Information Networks", Special Issue of IEEE Transactions on Network Science and Engineering Message-ID: CALL FOR PAPERS IEEE Transactions on Network Science and Engineering Special Issue on "Reloading Feature-rich Information Networks" https://www.comsoc.org/publications/journals/ieee-tnse/cfp/reloading-feature-rich-information-networks *NEW DEADLINE FOR MANUSCRIPT SUBMISSION: * *15 January 2020* GUEST EDITORS: Sabrina Gaito, Universit? degli Studi di Milano, Italy (gaito at di.unimi.it) Roberto Interdonato, CIRAD - UMR TETIS, Montpellier, France (roberto.interdonato at cirad.fr) Tsuyoshi Murata, Tokyo Institute of Technology, Japan (murata at c.titech.ac.jp) Alessandra Sala, Nokia Bell Labs, Dublin, Ireland (alessandra.sala at nokia-bell-labs.com) Andrea Tagarelli, University of Calabria, Italy (andrea.tagarelli at unical.it) My T. Thai, University of Florida, USA (mythai at cise.u.edu) TOPIC SUMMARY: The growing availability of multi-faceted relational data gives rise to unprecedented opportunities for unveiling complex real-world behaviors and phenomena. This also supports the proliferation of complex network models where the expressive power of the graph-based relational structure is enhanced through exposing several types of features that are peculiar of the domain-specific environment (e.g., social media platforms, biological environment, geographical location, etc.). Examples of this kind of feature-rich networks include Heterogeneous information networks, Multilayer networks, Temporal networks, Location-aware networks, and Probabilistic networks. The aim of this Special Issue, titled "Reloading Feature-rich Information Networks", is to address challenging issues and emerging trends in feature-rich information networks that can be mined in several domains, including not only long studied contexts such as social media and biology, but also less investigated or even new frontiers for network science, such as finance, engineering, archaeology, geology, astronomy, and many others. Although the use of feature-rich networks can intuitively be perceived as beneficial for most research tasks based on graph data, their expressive power has not been yet fully valued in most domains, therefore there is an emergence for providing insights into how the study of complex network models can pave the way for solving domain-specific problems that might not be adequately addressed by existing graph models. Within this view, we solicit contributions on advanced modeling and mining of feature-rich networks, regarding any data domain, including both theoretical and application-oriented studies. In particular, we encourage contributions on the development of novel approaches based on advanced optimization techniques and learning paradigms (e.g., online learning, reinforcement learning, and deep learning) to enhance our understanding of complex phenomena in information networks, but also visionary works about alternative modeling and mining approaches for complex networks. The topics of interest for this special issue include, but are not limited to: _ Foundations of Learning and Mining in feature-rich networks _ Simplification/pruning/sampling of feature-rich networks _ Embedding and Deep Learning in feature-rich networks _ Centrality and Ranking in feature-rich networks _ Vertex similarity in multiplex and feature-rich networks _ Community Detection in feature-rich networks _ Link Prediction in feature-rich networks _ Multiplex and feature-rich networks evolution models _ Ensemble learning for feature-rich networks mining _ Pattern mining in feature-rich networks _ User Behavior Modeling in feature-rich networks _ Influence propagation in feature-rich networks _ Reputation and Trust computing in feature-rich networks _ Probabilistic and Uncertain feature-rich networks _ Time-evolving feature-rich networks _ Hypergraph-based modeling, analysis and learning problems _ Cross-Domain problems in feature-rich networks _ Mobility in feature-rich networks _ Visualization of feature-rich networks *IMPORTANT DATES:* Manuscripts Due: 15 January 2020 Peer Reviews to Authors: 15 April 2020 1st Round Revised Manuscripts Due: 15 May 2020 2nd Round Reviews to Authors: 30 June 2020 2nd Round Revised Manuscripts Due: 30 July 2020 Final Notifications from Editors: 31 August 2020 Final Accepted Manuscripts Due: 10 September 2020 SUBMISSION GUIDELINES: Prospective authors are invited to submit their manuscripts electronically, adhering to the IEEE Transactions on Network Science and Engineering guidelines ( https://www.comsoc.org/publications/journals/ieee-tnse/ieee-transactions-network-science-and-engineering-information ). Note that the page limit is the same as that of regular papers. Please submit your papers through the online system ( https://mc.manuscriptcentral.com/tnse-cs) and be sure to select the special issue or special section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal. If requested, abstracts should be sent by e-mail to the Guest Editors directly. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Dec 3 08:00:52 2019 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Tue, 3 Dec 2019 15:00:52 +0200 Subject: Connectionists: CVML live Web lecture series: Web lecture 'Fast Convolution Algorithms for deep learning and computer vision', 14th December 2019, 11:00 EET References: <000d01d5a940$9cfbdad0$d6f39070$@csd.auth.gr> Message-ID: <019d01d5a9d9$b2077c10$16167430$@csd.auth.gr> Dear Computer vision/machine learning, students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, AUTH is proud to launch the live CVML Web lecture series that will cover very important topics Computer vision/machine learning. Top scientists internationally will deliver these lectures, aiming at providing in-depth knowledge on various CVML topics. The 1-hour lectures will take place on Saturdays, to avoid conflicts with other intended registrant schedules/duties: a) Saturdays 11:00 EET (17:00 Beijing time) and b) Saturdays 20:00 EET (13:00 EST, 10:00 PST for NY/LA, respectively) for audience in the Americas. Each lecture will be announced at least 1 week in advance in various relevant email lists and in the www page: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. The first web lecture on 'Fast Convolution Algorithms for deep learning and computer vision' by Professor Ioannis Pitas (see attached abstract and CV), will take place on 14th December 2019, 13:00 EET only. Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Fast convolution algorithms for computer vision and machine learning 2D convolutions play an extremely important role in machine learning, as they form the first layers of Convolutional Neural Networks (CNNs). They are also very important for computer vision (template matching through correlation, correlation trackers) and in image processing (image filtering/denoising/restoration). 3D convolutions are very important for machine learning (video analysis through CNNs) and for video filtering/denoising/restoration. 1D convolutions are extensively used in digital signal processing (filtering/denoising) and analysis (also through CNNs) Therefore, 1D/2D/3D convolution algorithms are very important both for machine learning and for signal/image/video processing and analysis. As their computational complexity is of the order O(N^2), O(N^4) and O(N^6) respectively their fast execution is a must. This lecture will overview linear and cyclic convolution. Then it will present their fast execution through FFTs, resulting in algorithms having computational complexity of the order O(Nlog2N), O(N^2log2N) for 1D and 2D convolutions respectively. Finally, optimal Winograd 1D and 2D convolution algorithms will be presented having theoretically minimal number of computations. Emphasis will be on 1D convolution algorithms, as there will be another lecture on 2D convolution algorithms soon. Prof. I. Pitas was lucky to have done his PhD degree on fast convolution algorithms more than 30 years ago. Now this topic re-emerged as key technology for deep learning and computer vision, primarily to address fast CNN training and inference, thanks to advances primarily in GPU programming, but also in multicore CPU programming. Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities. His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas leads the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org/. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el AIIA Lab www.aiia.csd.auth.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From valentina.ivanova at ri.se Tue Dec 3 08:20:30 2019 From: valentina.ivanova at ri.se (Valentina Ivanova) Date: Tue, 3 Dec 2019 13:20:30 +0000 Subject: Connectionists: [CfP] ESWC 2020 - *One day left* to submit your abstracts (& one week - for the papers) to the Research, Resources & In-Use Tracks Message-ID: * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Last Call for Papers The 17th European Semantic Web Conference (ESWC 2020) May 31st - June 4th, 2020, Heraklion, Crete, Greece. ESWC is a premier venue for discussing the latest scientific results and innovations in the field of semantic technologies on the Web and Linked Data, attracting a high number of participants from academia and industry alike. Follow us: Web Page: https://2020.eswc-conferences.org/ Twitter: @eswc_conf Facebook: https://www.facebook.com/ESWCCONF LinkedIn: https://www.linkedin.com/groups/8843932/ Become part of ESWC 2020 by submitting to the following tracks & activities! * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * In this announcement: ******************************************* 1. Call for Papers - Research Track https://2020.eswc-conferences.org/call-for-papers-research-track/ 2. Call for Papers - Resources Track https://2020.eswc-conferences.org/call-for-papers-resources-track/ 3. Call for Papers - In-Use Track https://2020.eswc-conferences.org/call-for-papers-in-use-track/ * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Important deadlines: Research, Resources & In-Use Tracks: * Paper abstract submission (**mandatory**): December 4, 2019 (tomorrow) * Paper submission: December 11, 2019 (in a week from now) (All deadlines are 23:59 anywhere on earth (UTC-12)) * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 1. Call for Papers - Research Track ******************************************* The research track of ESWC 2020 is looking for novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. We also encourage contributions to research at the intersection of Semantic Web and other scientific disciplines. Submissions to the research track should describe original, significant research on the Semantic Web, and are expected to provide some principled means of evaluation. Specifically, all papers should include evaluations of the approaches described in the paper. We strongly encourage evaluations that are repeatable. We also strongly encourage papers that provide links to: the data sets, source code, queries and other resources. Based on previous years submissions, this year we are setting up ten research tracks that reflect some of the main research areas of the Semantic Web and its intersection with other scientific disciplines: * Ontologies and Reasoning https://2020.eswc-conferences.org/call-for-papers-ontologies-and-reasoning-track/ * Natural Language Processing and Information Retrieval https://2020.eswc-conferences.org/call-for-papers-natural-language-processing-and-information-retrieval-track/ * Semantic Data Management and Data Infrastructures https://2020.eswc-conferences.org/call-for-papers-semantic-data-management-and-data-infrastructures-track/ * Social and Human Aspects of the Semantic Web https://2020.eswc-conferences.org/call-for-papers-social-and-human-aspects-of-the-semantic-web-track/ * Machine Learning https://2020.eswc-conferences.org/call-for-papers-machine-learning-track/ * Distribution and Decentralization https://2020.eswc-conferences.org/call-for-papers-distribution-and-decentralization-track/ * Science of Science https://2020.eswc-conferences.org/call-for-papers-science-of-science-track/ * Security, Privacy, Licensing & Trust https://2020.eswc-conferences.org/call-for-papers-security-privacy-licensing-trust-track/ * Knowledge Graphs https://2020.eswc-conferences.org/call-for-papers-eswc-2020-knowledge-graphs-track/ * Integration, Services and APIs https://2020.eswc-conferences.org/call-for-papers-integration-services-apis-track/ Further info: https://2020.eswc-conferences.org/call-for-papers-research-track/ == Important Dates == * Abstract submission (**mandatory**): December 4, 2019 (tomorrow) * Paper submission: December 11, 2019 (in a week from now) Opening of rebuttal period: January 20, 2020 Closing of rebuttal period: January 24, 2020 Notification to authors: February 19, 2020 Camera ready papers due: March 18, 2020 == Program Chairs == Sabrina Kirrane, Vienna University of Economics and Business, Austria sabrina.kirrane at wu.ac.at Axel Ngonga, Paderborn University, Germany axel.ngonga at upb.de 2. Call for Papers - Resources Track ******************************************* Many of the research efforts in the areas of the Semantic Web,Linked Data and Knowledge Graphs focus on publishing scientific papers that prove a hypothesis. However, scientific advancement is often reliant on good quality resources that provide the necessary scaffolding to support the scientific publications. Sharing these resources and the best practices that have lead to their development with the research community is crucial, to consolidate research material, ensure reproducibility of results and in general gain new scientific insights. The ESWC 2020 Resources Track aims to promote the sharing of resources including, but not limited to: datasets, ontologies, vocabularies, annotated corpora, workflows, knowledge graphs, evaluation benchmarks or methods, replication studies, services, APIs and software frameworks that have contributed to the generation of novel scientific work. In particular, we encourage the sharing of such resources following best and well established practices within the Semantic Web community, including the provision of an open license and a permalink identifying the resource. This track calls for contributions that provide a concise and clear description of a resource and its usage. A typical Resource track paper has its focus set on reporting on one of the following categories: * Ontologies developed for an application, with a focus on describing the modelling process underlying their creation; * Datasets produced to support specific evaluation tasks or by a novel algorithm; * Knowledge graphs or remarkable interest that comprehensively cover new vertical domains; * Machine learning models that would impact the knowledge engineering community. Examples include comprehensive word embeddings trained on large corpora, or embeddings of commonly known knowledge graphs, such as DBpedia or Wikidata * Descriptions of a reusable research prototype / service supporting a given research hypothesis; * Descriptions of a dataset produced by a novel algorithm; * Descriptions of community shared software frameworks that can be extended or adapted to support scientific study and experimentation; * Benchmarking, focusing on datasets and algorithms for comprehensible and systematic evaluation of existing and future systems; * Development of new evaluation methodologies, and their demonstration in an experimental study. Further info: https://2020.eswc-conferences.org/call-for-papers-resources-track/ == Important Dates == * Abstract submission (**mandatory**): December 4, 2019 (tomorrow) * Paper submission: December 11, 2019 (in a week from now) Opening of rebuttal period: January 20, 2020 Closing of rebuttal period: January 24, 2020 Notification to authors: February 19, 2020 Camera ready papers due: March 18, 2020 == Track Chairs == Heiko Paulheim, University of Mannheim, Germany heiko at informatik.uni-mannheim.de Anisa Rula, University of Milano-Bicocca, Italy rula at disco.unimib.it 3. Call for Papers - In-Use Track ******************************************* Semantic technologies are reaching maturity on and off the web. The In-Use track at ESWC 2020 provides a forum for the community to explore the benefits and challenges of applying semantic technologies in concrete, practical applications, in contexts ranging from industry to government and science. We are especially interested in applications that use the emerging knowledge graphs or semantic annotations on the web together with data mining, machine learning, or natural language processing techniques to the benefit of concrete, real-life scenarios. We are also looking for descriptions of applied and validated industry solutions as software tools, systems or architecture that benefit from the adoption of semantic technologies. Importantly, papers presenting applications in use of semantic technologies should provide evidence that there is use of the proposed application or tool by the target user group, preferably outside the group that conducted the development. A main focus of the submission should be on the way semantics and semantic technologies are impacting this development, through benefiting the intended use case, as well as, if relevant, through the added challenges they introduce. Topics of Interest: We invite the submission of original papers organized around some of the following aspects: * Description and analysis of concrete problems and user requirements for applying semantic technologies in a specific domain * Descriptions of how Semantic Web resources (ontologies, datasets, software, standards, etc) are being used in practice * Analysis and evaluation of usability and uptake of Semantic Web tools and technologies * Scalability analysis and large scale deployment in real world scenarios * Assessment of the pros and cons of using semantic technologies to solve a particular and practical problem * Comparison of semantic technologies with alternative approaches that use conventional or competing technologies * Learned lessons and best practices from deploying and using an application or service based on Semantic Web technologies * Assessment of costs and benefits of implementing, deploying, using, and managing Semantic Web technologies * Analysis of risks and opportunities of using Semantic Web technologies in organizations with respect to their businesses and customers * Descriptions of alternative semantic technologies being deployed in practice * Mobile apps based on semantic technologies that have substantial user base * Applications in domain-specific areas such as Health & Life Sciences, Digital Libraries & Cultural Heritage, Media & Entertainment, Smart Cities, and Open Government Further info: https://2020.eswc-conferences.org/call-for-papers-in-use-track/ == Important Dates == * Abstract submission (**mandatory**): December 4, 2019 (tomorrow) * Paper submission: December 11, 2019 (in a week from now) Opening of rebuttal period: January 20, 2020 Closing of rebuttal period: January 24, 2020 Notification to authors: February 19, 2020 Camera ready papers due: March 18, 2020 == Track Chairs == Anna Lisa Gentile, IBM, USA annalisa.gentile at ibm.com Peter Haase, Metaphacts, Germany phaase at gmail.com Looking forward to your submissions! The ESWC 2020 Organising Team https://2020.eswc-conferences.org/organising-committee/ From viktoria at 4dsound.net Tue Dec 3 08:44:55 2019 From: viktoria at 4dsound.net (Viktoria Laco) Date: Tue, 3 Dec 2019 14:44:55 +0100 Subject: Connectionists: call for a mathematician Message-ID: Dear PostDoc or PhD graduates, The Spatial Sound Institute would like to draw your attention to its current open vacancy: ---------------------------------------------------------------------------- Call for a Mathematician - extended deadline ---------------------------------------------------------------------------- The Spatial Sound Institute is looking to engage a full-time/part-time *mathematician *to become involved in ongoing research into the natural laws governing wave behavior within geometries and physics of sound. We invite enthusiastic mathematicians to become part of an interdisciplinary team involving musicians, programmers, physicians and neuro-scientists. The ongoing research on the connection of sound phenomena with fundamental natural laws has possible great implications in theoretical and applied physics. We expect the research to touch upon various fields within mathematics and physics such as magnetism, sound wave propagation, rose and lissajous curves, symmetry along group theory and Lie groups, octonions, fractal and crystallization patterns. Preference goes to working with *PostDoc or PhD graduates* in mathematics with experience in coding Python and/or C++, though we are open for applications from anyone finding significant relation to the research from within their field of work and professional skills. Central place of work will be the Spatial Sound Institute in Budapest, Hungary, and might involve traveling from/to Budapest within Europe and/or to visit other partner Institutes from time to time. Principal collaborators at the Spatial Sound Institute will be Paul Oomen, Head of Development, and Rona Geffen, Research Associate. Further terms and conditions of the position will be discussed upon response by the applicant. Applicants are requested to send a short motivation letter and their CV *before February 29 2020.* *Please send applications to*: submissions at spatialsoundinstitute.com. *More information*: https://spatialsoundinstitute.com/job_mathematician For any further queries regarding the application, please don?t hesitate to reach out to us at the same email address. Kind regards, -- Viktoria Laco | 4DSOUND | Communication and Professional Relations [e] viktoria at 4dsound.net [w] www.4dsound.net | https://spatialsoundinstitute.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.felsberg at liu.se Tue Dec 3 08:55:03 2019 From: michael.felsberg at liu.se (Michael Felsberg) Date: Tue, 3 Dec 2019 13:55:03 +0000 Subject: Connectionists: Research Fellow/Assistant Professor in Optimization for Machine Learning (tenure track) - closing date December 9 approaching Message-ID: <97326_1575381888_xB3E4kYG097602_20fef14b-2ba3-16ef-273e-341d78460716@liu.se> The Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden?s largest individual research program ever; a major national initiative for strategically motivated basic research, education and faculty recruitment (see https://wasp-sweden.org). WASP comprises five Swedish full partner universities and a substantial part of Swedish industry and commerce. WASP aims to strengthen Link?ping University specifically in the field of machine learning within the AI focus-area of WASP. We seek competence in Optimization for Machine Learning. The major task for this position is fundamental research in the area of mathematical optimization theory and novel techniques for machine learning. Examples of research topics are: sparse optimization, saddle point search, multi-object learning, and stochastic quasi-Newton methods. Although the expertise should primarily be in optimization, the applicant should ideally also have experience in machine learning. The financing of the position, established through WASP (Wallenberg AI, Autonomous Systems and Software Program, https://wasp-sweden.org), includes support for the position holder?s own salary during 4?5 years and a research group with two postdocs (2 years each) and one PhD student (4 years). If you are looking for work at an excellent young university, living in urban or rural environments with commuting distance of 15 min, and want to possibly exploit your research results commercially (YOU will completely OWN your IPR): Apply before December 9! https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=12518&rmlang=UK Best regards Michael Felsberg -- Professor Michael Felsberg Tel: +46 13 282460 Computer Vision Laboratory Mobile: +46 702 202460 Link?ping University email: michael.felsberg at liu.se SE-581 83 Link?ping, Sweden http://users.isy.liu.se/cvl/mfe/ From cristian.rodriguezrivero at gmail.com Tue Dec 3 11:14:18 2019 From: cristian.rodriguezrivero at gmail.com (Cristian Rodriguez Rivero) Date: Tue, 3 Dec 2019 17:14:18 +0100 Subject: Connectionists: CFP - Advances in Computational Intelligence for Applied Time Series Forecasting (ACIATSF) - IEEE WCCI 2020 In-Reply-To: References: Message-ID: <%2B1%20%28530%29%20757-8827> *CFP Special Session on: **Advances in Computational Intelligence for applied Time Series Forecasting (ACIATSF)* *Special Session on ?Advances in Computational Intelligence for applied Time Series Forecasting? (ACIATSF)* Link: http://www.inv.limac.efn.uncor.edu/?page_id=485 *International Joint Conference on Neural Networks (IJCNN 2020).**19 - 24th July, 2020, Glasgow (UK) * https://wcci2020.org/ijcnn-sessions/ *Motivation* Over the past few decades, application of simple statistical procedures with considerable heuristic or judgmental input was the beginning of forecasting, then in the 80?s, sophisticated time series models started to be used by some of the dynamic system operators, and these approaches, were to become pioneering works in this field. Soft computing methods including support vectors regression (SVR), fuzzy inference system (FIS) and artificial neural networks (ANN) to time-series forecasting (TSF) has been growing rapidly in order to unify the field of forecasting and to bridge the gap between theory and practice, making forecasting useful and relevant for decision-making in many fields of the sciences. The purpose of this session is to hold smaller, informal meetings where experts in a particular field of forecasting can discuss forecasting problems, research, and solutions in the field of automatic control. There is generally a nominal registration fee associated with attendance. This session aims to debate in finding solutions for problems facing the field of forecasting. We wish to hear from people working in different research areas, practitioners, professionals and academicians involved in this problematic. *Scope* The session seeks to foster the presentation and discussion of innovative techniques, implementations and applications of different problems that are Forecasting involved, specially in real-world problems applied to control and automation. ? Time Series Analysis ? Time Series Forecasting ? Evaluation of Forecasting Methods and Approaches ? Forecasting Applications in Business, Energy and Price Demand, Hydrology and Rainfall ? Impact of Uncertainty on Decision Making ? Seasonal Adjustment ? Multivariate Time Series Modelling and Forecasting ? Marketing Forecasting ? Economic and Econometric Forecasting *Organizers:* Prof. Cristian Rodriguez Rivero, University of Amsterdam, c.m.rodriguezrivero at uva.nl, IEEE CIS, Co-Founder LA-CIS. Prof. Alvaro Orjuela Ca??n, Universidad del Rods, dorjuelaco at ieee.org, IEEE CIS, Co-Founder Board of Directors of LA-CIS. Prof. H?ctor Daniel Pati?o, Universidad Nacional de San Juan, Argentine, dpatino at inaut.unsj.edu.ar. IEEE CIS. Prof. Juli?n Antonio Pucheta, Universidad Nacional de C?rdoba, Argentine, jpucheta at efn.uncor.edu. Prof. Gustavo Juarez, Universidad Nacional de Tucum?n, Argentine, juarez.gustavo at ieee.org, IEEE CIS. Prof. Leonardo Franco, School of Engineering in Informatics, University of Malaga, Spain. lfranco at lcc.uma.es. IEEE CIS. *Submission guidelines and special issue:* Manuscripts should be prepared according to the standard format and page limit of regular papers according to the IEEE format. All submissions should follow the specifications of 2020 WCCI. Manuscripts will be submitted through the 2020 IEEE WCCI paper submission website and will be subject to the same peer-review procedure as the WCCI regular papers. Accepted contributions will be part of conference proceedings, which will be available in IEEEXplore. *Important Dates* Paper submission due: 15th Jan. 2020 Notification of acceptance: 15th Mar. 2020 Camera-ready deadline: 15th Apr. 2020 Author registration deadline: 15th Apr. 2020 *Paper Submission: * https://ieee-cis.org/conferences/ijcnn2020/upload.php *Information about IEEE WCCI 2020:* https://wcci2020.org/ We look forward to receiving your high-quality submissions and discussing in our meeting!! Cristian Rodriguez Rivero, Ph.D., EE Doctor in Engineering Sciences, Electrical & Biomedical Engineer. Faculteit der Natuurwetenschappen, Wiskunde en Informatica Universiteit van Amsterdam LA-CIS Co-Founder, Board of Directors and Steering Committee (la-cci.org) Mathematics Research Laboratory applied to Control (LIMAC) Universidad Nacional de C?rdoba *www.inv.limac.efn.uncor.edu/?page_id=292 *, e-mail: crodriguezrivero at ieee.org , crivero at iua.edu.ar c.m.rodriguezrivero at uva.nl Cell: +31687697539 <%2B1%20%28530%29%20757-8827> -------------- next part -------------- An HTML attachment was scrubbed... URL: From jason at tau.ac.il Wed Dec 4 01:28:37 2019 From: jason at tau.ac.il (Jason Friedman) Date: Wed, 4 Dec 2019 08:28:37 +0200 Subject: Connectionists: PhD position at Tel Aviv University on Accelerating Motor Learning with Computational Scaffolding Message-ID: A funded PhD position is available at Tel Aviv University in the Movement Sciences lab with Dr. Jason Friedman, in the field of human motor control, on the topic of enhancing motor learning. The PhD will be part of a larger collaborative project with Prof. Helge Ritter from the Neuroinformatics group at Bielefeld University, Germany, where they investigate manual intelligence of both humans and robots. In this project, we will use a technique called computational scaffolding in order to speed up the process of motor learning. In this technique, a temporary structure (scaffold) is provided during the learning process and slowly removed as learning takes place. We will use this technique to individualize and enhance the motor learning process in two applications ? learning how to play the piano and learning a new swimming stroke. The student will be involved in all aspects of the project, included running experiments, recording and analyzing movement data, applying motor guidance for enhancing learning, and active collaboration with our partners. Students with a background in Motor Control, Neuroscience, Psychology, Physics, Computer Science, Biomedical engineering or related areas are encouraged to apply. Programming experience in Python or other languages, and a musical background is an advantage. Please contact Dr. Friedman ( jason at tau.ac.il) with a CV for further information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marc.toussaint at ipvs.uni-stuttgart.de Tue Dec 3 13:46:37 2019 From: marc.toussaint at ipvs.uni-stuttgart.de (Marc Toussaint) Date: Tue, 3 Dec 2019 19:46:37 +0100 Subject: Connectionists: CFP: Robotics: Science & Systems Conference 2020, July 12-16 2020, Corvallis, Oregon, US Message-ID: <2349006c-c40a-354f-ed7e-b59bcd649118@ipvs.uni-stuttgart.de> *CALL FOR PAPERS* Robotics: Science and Systems 2020 https://roboticsconference.org/ Oregon State University at Corvallis, July 12-17, 2020 We cordially invite you to submit your work to the 2020 Robotics: Science and Systems Conference, which will bring together researchers working on all aspects of robotics including scientific foundations, applications, and analysis of robotic systems. The paper submission deadline will be on *January 30th, 2020*. The workshop submission deadline is on February 6th, 2020. The conference will be single-track, and the final program will be the result of a thorough review process to give attendees an opportunity to see the most exciting research in all areas of robotics. Submissions will be evaluated in terms of their novelty, technical quality, significance, potential impact, and clarity. The program will include invited talks as well as oral and poster presentations of accepted papers. The three-day main session will be preceded by two days of workshops. Highlights of R:SS 2020: * We put together a great set of Area Chairs that cover all areas of robotics. With this we are actively seeking papers broadly in all areas, including method oriented as well as application oriented research, mechatronics and system design, field robotics, HRI, etc. At submission, authors will be able to vote for ACs that they believe can best handle their paper during submission. See https://roboticsconference.org/ for the list of ACs. * The review process will explore a new rebuttal format, with author rebuttals being directed to the ACs directly. Anonymous reviews will be made public together with accepted papers. * We will have a Best Paper Award, Best Systems Paper Award, Best Student Paper Award, and for the first time a Proof of Time Award. The Best Systems Paper Award is dedicated to papers that pioneer novel robotic systems (e.g. hardware or mechatronics) or novel behaviors on a robotic system that are beyond what has been seen before. * The program will include single track oral and poster presentations of all accepted papers, as well as invited talks. The three?day main conference will be preceded by two days of workshops. * Selected papers will be invited for submission to special issues of the International Journal of Robotics Research and Autonomous Robots, and for expedited review as regular submissions to the IEEE Transactions on Robotics. Important Dates: Paper Submission Deadline: January 30th, 2020 Workshop Submission Deadline: February 6th, 2020 Workshop Acceptance Notification: March 6th, 2020 Paper Acceptance Notification: April 16th, 2020 Workshops: July 12th - 13th, 2020 Main Conference: July 14th - 16th, 2020 Submission information will be available soon at: https://roboticsconference.org/information/authorinfo Finally, we want to also mention the opportunity to submit contributions to RSS workshops. Please stay alert to the list of accepted workshops, which will be published at around March 6. Best, Marc Toussaint (Program Chair) & Jun Morimoto (Publicity Chair) From yiz at soe.ucsc.edu Tue Dec 3 18:42:32 2019 From: yiz at soe.ucsc.edu (Yi Zhang) Date: Tue, 3 Dec 2019 15:42:32 -0800 Subject: Connectionists: Assistant Professor in Deep Learning at University of California, Santa Cruz Message-ID: For more information, please visit: https://g.co/kgs/fkz5wj We seek candidates with a strong research record in computer science and engineering; we are particularly interested in candidates with expertise in machine learning and deep learning, as well as broadly related fields, such as artificial intelligence, natural language processing, vision, and data science. We also welcome applications from researchers who apply results from machine learning and deep learning to other fields of computer science.The Department of Computer Science and Engineering is part of the Baskin School of Engineering at UC Santa Cruz. Our school has nationally and internationally known researchers in many areas, including theoretical computer science, programming languages, security, distributed systems, storage systems, computer architectures, machine learning, natural language processing, AI, data science, vision, and networking. The Baskin School of Engineering is also home to the Statistics and the Applied Mathematics departments, contributing to the richness of research ranging from data science to the statistical foundations of machine learning. Nestled in a redwood forest above the city of Santa Cruz, our beautiful campus has a long history of embracing groundbreaking interdisciplinary work. Our proximity to Silicon Valley, and our satellite campus there, afford opportunities and avenues for collaboration with researchers working in the many research and development labs in Silicon Valley, as well as with the other San Francisco Bay Area universities. The successful candidate is expected to develop a research program, advise graduate students in their research area, obtain external funding, develop and teach courses within the undergraduate and graduate curriculum, perform university, public and professional service, and interact broadly with the large number of researchers in Silicon Valley industrial research and advanced development labs. The successful candidate should be able to work with students, faculty, and staff from a wide range of social and cultural backgrounds, genders, and sexual orientations. A demonstrated interest in advancing the cause of diversity, equity, and inclusion is a requirement for the position.UC Santa Cruz values diversity, equity, and inclusion and is committed to hiring faculty who share these values. To be considered, candidates must demonstrate an understanding of the barriers facing women and underrepresented minorities, and describe their experience and future plans to promote equity and inclusion in teaching, mentoring, and research. Financial and in-kind resources will be made available to faculty who promote equity and inclusion at UC Santa Cruz, and their work will be recognized as important university service during the faculty promotion process. The UC Santa Cruz campus is located approximately 75 miles from San Francisco and 35 miles from the heart of Silicon Valley. The campus comprises two thousand acres of forested hills overlooking the Pacific Ocean and Monterey Bay with one of the most visually spectacular settings in higher education. In 2016-17, the Times Higher Education ranked UC Santa Cruz 4th in research influence.The UCSC Silicon Valley Campus is located in the heart of Silicon Valley near San Jose, the worldwide epicenter for industry and innovation in games and information technology. The location affords extensive consulting opportunities and avenues for collaborative research with industry. Opened in 2016, the UCSC Silicon Valley Campus features contemporary interior design with multiple classrooms, computer labs, and project rooms, along with an event center and television studio. From s.caspers at fz-juelich.de Wed Dec 4 03:02:27 2019 From: s.caspers at fz-juelich.de (Caspers, Svenja) Date: Wed, 4 Dec 2019 08:02:27 +0000 Subject: Connectionists: =?utf-8?q?PhD_position_at_University_of_D=C3=BCss?= =?utf-8?q?eldorf_=28Germany=29_/_Research_Centre_J=C3=BClich?= In-Reply-To: References: Message-ID: The Institute for Anatomy I, University of D?sseldorf (Germany) together with the Connectivity Group of the Institute of Neuroscience and Medicine (INM-1), Research Centre J?lich within the Helmholtz Association (Germany) (joint lead: Prof. Dr. Svenja Caspers) is seeking applications for a PhD Position on a topic of white-matter integrity of the brain and air pollution The Institute for Anatomy I together with the Connectivity Group focuses on the investigation of brain variability throughout the life span in relation to environmental and genetic factors, with a particular focus on the aging brain, at this taking advantage of large population-based cohorts who underwent MR neuroimaging (e.g. UK Biobank, German National Cohort, Human Connectome Project, 1000BRAINS). These efforts are part of current projects within the Human Brain Project (HBP). Within this particular project funded by the German Research Foundation (DFG), the relevance of air pollution on white-matter integrity of the brain will be investigated conjointly with the Helmholtz Centre for Health and Environment in Munich. The successful candidate holds a master?s degree in neuroscience, computer science, psychology, medicine or related fields. Experience with processing and analyses of MR neuroimaging data is highly desirable. Knowledge about advanced statistics (e.g. clustering methods) and a strong interest in applying new methods to MR imaging data, e.g. from the field of pattern recognition, would be valuable. Very good command of English is expected. The applicant will become part of an interdisciplinary team of PostDocs, PhD and MD students with various backgrounds. He / she will have ample possibilities to expand his / her own knowledge and expertise and interact and collaborate with colleagues from different fields, including big data analytics, genetics, and epidemiology. With our group closely collaborating with the J?lich Supercomputing Center, the applicant will have access to high-performance computing clusters for efficient and novel analyses approaches. Funding for the position is available for three years. Applications will continue to be received until the position is filled. Please send your comprehensive application, including CV, copies of relevant certificates and either reference letters or names of two potential references to Prof. Dr. Svenja Caspers (s.caspers at fz-juelich.de). ============================== Univ.-Prof. Dr. med. Dr. rer. pol. Svenja Caspers Direktorin Institut f?r Anatomie I Heinrich-Heine-Universit?t D?sseldorf 40221 D?sseldorf (Deutschland) Tel.: 0211-8112678 Email: svenja.caspers at hhu.de svenja.caspers at med.uni-duesseldorf.de und Arbeitsgruppe Konnektivit?t Institut f?r Neurowissenschaften und Medizin (INM-1) Forschungszentrum J?lich GmbH 52425 J?lich (Deutschland) Tel.: 02461-611742 Email: s.caspers at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke 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 sahanbull at gmail.com Wed Dec 4 05:36:01 2019 From: sahanbull at gmail.com (Sahan Bulathwela) Date: Wed, 4 Dec 2019 10:36:01 +0000 Subject: Connectionists: *** DEADLINE EXTENSION (Dec 10), WSDM workshop on State-based User Modelling *** Message-ID: <5de78c13.1c69fb81.8f919.5183@mx.google.com> An HTML attachment was scrubbed... URL: From holroyd at uvic.ca Wed Dec 4 12:11:01 2019 From: holroyd at uvic.ca (Clay Holroyd) Date: Wed, 4 Dec 2019 17:11:01 +0000 Subject: Connectionists: 2 postdoctoral positions at the Learning and Cognitive Control Lab, Ghent University, Belgium Message-ID: <115d855caefd46adae42b87dad44e474@lyretail.uvic.ca> The Learning and Cognitive Control Lab at Ghent University (Belgium) is recruiting two postdoctoral fellows. The positions are funded by a European Research Council Advanced Grant, ?Cracking the Anterior Cingulate Cortex Code: Toward a Unified Theory of ACC Function? ( https://cordis.europa.eu/project/rcn/216511/factsheet/en ; for an example of our approach, please see doi 10.1073/pnas.1803650115 ). The positions are for two years with an opportunity to renew and are available to start immediately. Applications will be accepted until the positions are filled. Position 1: The successful candidate will work on the development of a hierarchical recurrent neural network model of anterior cingulate cortex. A Ph.D. and a background in computational cognitive neuroscience, broadly defined, are required. The applicant must have experience with neural network modeling. Position 2: The successful candidate will conduct functional magnetic resonance imaging experiments following a model-based cognitive neuroscience approach. A Ph.D. and a background in psychology, cognitive neuroscience, or a closely related discipline are required. Prior fMRI training as well as good programming skills (e.g., Python, Matlab) are required. Interested candidates should email their CV, a statement of research interests, and have three letters of reference forwarded to Clay Holroyd at clay.holroyd at ugent.be. Inquiries may be directed to him at that email address. From nicosia at dmi.unict.it Wed Dec 4 12:56:39 2019 From: nicosia at dmi.unict.it (Giuseppe Nicosia) Date: Wed, 4 Dec 2019 18:56:39 +0100 Subject: Connectionists: Save the Date: #ACDL2020, 3rd Advanced Course on Data Science & Machine Learning - Early Registration February 20 Message-ID: ACDL 2020, 3rd Advanced Course on Data Science & Machine Learning An Interdisciplinary Course: Big Data, Deep Learning & Artificial Intelligence without Borders ACDL 2020 ? A Unique Experience: Data Science, Machine Learning & Artificial Intelligence with the World?s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano Certosa di Pontignano, Siena - Tuscany, Italy July 13-17, 2020 https://acdl2020.icas.xyz acdl at icas.xyz The past 2 editions have attracted more than 150 students per year and world-renowned experts in ML, AI, DP and DS including Yoshua Bengio, Leslie Kaelbling, Peter Norvig, Alex 'Sandy' Pentland, Marc'Aurelio Ranzato, Ruslan Salakhutdinov, Josh Tenenbaum, Naftali Tishby and Oriol Vinyals. More info about our current and past editions can be found here: https://acdl2020.icas.xyz/past-editions/ ACDL 2018 & ACDL 2019 Sold-out! Probably also ACDL 2020 ;-) Early registration deadline: February 20, 2020 https://acdl2020.icas.xyz/registration/ Deadlines: Oral/Poster Presentation Submission: February 20, 2020. Notification of Decision for Oral/Poster Presentation: by March 12, 2020. Early Registration: Until February 20, 2020. Late Registration: After February 20, 2020. LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. VENUE & ACCOMMODATION: The venue of ACDL 2020 will be The Certosa di Pontignano ? Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2020.icas.xyz/venue/ ACCOMMODATION: https://acdl2020.icas.xyz/accommodation/ REGISTRATION: https://acdl2020.icas.xyz/registration/ We remind you that ACDL 2018 and ACDL 2019 sold out a long time before the registration deadline! Anyone interested in participating in ACDL 2020 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in Tuscany next July! ACDL 2020 Organizing Committee. acdl at icas.xyz https://acdl2020.icas.xyz -------------- next part -------------- An HTML attachment was scrubbed... URL: From inesdomingues at gmail.com Wed Dec 4 21:52:17 2019 From: inesdomingues at gmail.com (=?UTF-8?Q?In=C3=AAs_Domingues?=) Date: Thu, 5 Dec 2019 02:52:17 +0000 Subject: Connectionists: VISUM 2020 :: Vision Understanding & Machine Intelligence Summer School :: CALL FOR PARTICIPATION In-Reply-To: References: Message-ID: [image: call_for_app.jpg] Do you want a *great opportunity to get on the cutting edge* of Computer Vision and Machine Learning fields? Check on *VISUM 2020.* The 8th edition of the Vision Understanding and Machine Intelligence (VISUM) Summer School will take place between* 2 and 10, July 2020*, at Universidade Portucalense (UPT), in *Porto, Portugal*. World-renowned experts in the field will deliver the courses, with both *theoretical & practical sessions*, covering the topics: - *Introduction to Machine Learning and Computer Vision* | by Jaime Cardoso, Faculty of Engineering, University of Porto (PT) - *Machine Learning on Kubernets* | by Markus Bauer, Webfleet Solutions (DE) - *Action Recognition in Video* | by Pascal Mettes, University of Amsterdam (NL) - *Optimal Transport in Computer Vision* | by Nicolas Courty, IRISA (FR) - *Explanable Artificial Intelligence (XAI)* | by Mauricio Reyes, Insel Gruppe (CH) - *Deep Learning and Kernel Machines* | Johan Suykens, KU Leuven (BE) - *Information Security* | by Marta Gomez-Barrero, da/sec (DE) Aside from the opportunity to learn with top-notch speakers, you will have the opportunity to put what you have learned into practice, in a *competition organized by VISUM and Abyssal S.A.* You will also benefit from direct interaction with representatives from research companies (NILG.AI, Deloitte, Smartex, Yoonik, Heptasense and others), on a *day fully dedicated to Industry applications (with some suprises TBA).* As talent should be rewarded, we will grant *prizes* for the competition winning team (sponsored by TBA) and the Industry Challenge winners (sponsored by NILG.AI). Dont' miss the *application deadline*, *20 March, 2020.* To know more about details, please visit our website visum.inesctec.pt and send an email to visum at inesctec.pt to be eligible to apply to the VISUM summer school 2020. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: call_for_app.jpg Type: image/jpeg Size: 40755 bytes Desc: not available URL: From mtista at gmail.com Wed Dec 4 17:02:57 2019 From: mtista at gmail.com (Massimo Tistarelli) Date: Wed, 4 Dec 2019 23:02:57 +0100 Subject: Connectionists: Call for Applications: 17th Int.l Summer School on Biometrics and Forensics 2020 Message-ID: ?? Please accept our sincere apologies for receiving multiple copies of this announcement ?? ** * * *17^th Int.l Summer School for Advanced Studies on Biometrics for Secure Authentication:* *BIOMETRICS, FORENSICS AND IDENTITY SCIENCE FOR HUMAN-CENTERED APPLICATIONS* *Alghero, Italy ? June 8-12 2020* *Contact:*tista at uniss.it http://biometrics.uniss.it *APPLICATION DEADLINE: February 15^th 2020 *(download the application form at: http://biometrics.uniss.it) >From the early days, when security was the driving force behind biometric research, today?s challenges go far beyond security. Machine learning, Image understanding, Signal analysis, Neuroscience, Robotics, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today ?Biometrics?. For the last seventeen years, the International Summer School on Biometrics has been closely following the developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art. What are the most up-to-date core biometric technologies developed in the field? What is the potential impact of biometrics in forensic investigation and crime prevention? What can we learn from human perception? How to deploy current Deep Learning approaches? How to deal with /adversarial attacks/ in biometric recognition? This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 17^th edition, the courses will mainly focus on new and emerging issues: ?*Biometrics for social interactions and emerging applications;* ?*How to exploit new biometric technologies in forensic and security applications;* ?*Evaluation and assessment of biometric and forensic applications;* ?*Deep Learning for biometrics and forensic identification.* The courses will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by 18 outstanding experts in the field, from both academia and industry. An advanced feature of this summer school will be some practical sessions to better understand, ?hands on?, the real potential of today?s biometric technologies. ** *_Participant application_* The school will be open to about 50 highly qualified, motivated and pre-selected applicants. Phd students, post-docs, researchers, forensic examiners, police officers and professionals are encouraged to apply. The expected school fees will be in the order of 1,600 ? for Phd students and 2,200 ? for others (subject to change). The fees will include full board accommodation, all courses and handling material. *A limited number of scholarships, covering a portion of the fees, will be awarded to Phd students*, selected on the basis of their scientific background and on-going research work. Precedence will be given to active members of IAPR and IEEE. The scholarship request form can be downloaded from the school web site */http://biometrics.uniss.it/*. Phd students, researchers and post-docs are encouraged to submit a short paper (6 pages maximum) for an oral presentation on their recent research activity. Poster boards will be also available to all participants to display their current research advances. Send a filled application form (download from http://biometrics.uniss.it)//together with a short curriculum vitae to:** *Prof. Massimo Tistarelli ?*e-mail: *biometricsummerschool at gmail.com* *__* *_Advance pre-registration is strictly required by February 15^th _**_2020_* *_School location_* The school will be hosted by HotelEl Faro (*/http://www.elfarohotel.it//*) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean sea. The property is beautifully immersed into the Capo Caccia bay. The hotel El Faro has a recently renovated conference center, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities. *_School Committee:_* *Massimo Tistarelli* Computer Vision Laboratory ? University of Sassari, Italy *Josef Bigun * Department of Computer Science ? Halmstad University, Sweden *Enrico Grosso* Computer Vision Laboratory ? University of Sassari, Italy *Anil K. Jain* Biometrics laboratory ? Michigan State University, USA ** *_Distinguished lecturers from past school editions_* *__* *Josef **Bigun* Halmstad University ? Sweden *David Meuwly* Netherlands Forensic Institute ? NL *Thirimachos Bourlai* West Virginia University ? USA *Emilio Mordini MD* Responsible Technologies ? Italy *Vincent Bouatou* Safran Morpho ? France *Mark Nixon* University of Southampton ? UK *Deepak Chandra * Google Inc. ? USA *Alice O?Toole* University of Texas ? USA *Rama Chellappa* University of Maryland ? USA *Maja Pantic* Imperial College ? UK *John Daugman* University of Cambridge ? UK *Johnathon Phillips* NIST ? USA *Farzin Deravi* University of Kent ? UK *Nalini Ratha* IBM ? USA *James Haxby* Dartmouth University ? USA *Arun Ross* Michigan State University ? USA** *Anil K. Jain* Michigan State University ? USA *Tieniu Tan * CASIA-NLPR ? China *Joseph Kittler* University of Surrey ? UK *Massimo Tistarelli* Universit? di Sassari ? Italy *Davide Maltoni* Universit? di Bologna ? Italy *Alessandro Verri* Universit? di Genova ? Italy *John Mason* Swansea University ? UK *James Wayman* University of San Jos? ? USA *Aldo Mattei* Arma dei Carabinieri ? Italy *Lior Wolf* Tel Aviv University ? Israel -------------- next part -------------- An HTML attachment was scrubbed... URL: From inesdomingues at gmail.com Wed Dec 4 21:51:43 2019 From: inesdomingues at gmail.com (=?UTF-8?Q?In=C3=AAs_Domingues?=) Date: Thu, 5 Dec 2019 02:51:43 +0000 Subject: Connectionists: [IWBF2020@Porto] CALL FOR PAPERS In-Reply-To: References: <0a4d7f2ceb0743eda3bca598ecfc5b8e@inesctec.pt> Message-ID: ********************************* Apologies for multiple postings ******************************* Please feel free to redistribute! ---------------------------------------------------------------------------------------------------------------------------------------- IWBF 2020 CALL FOR PAPERS ---------------------------------------------------------------------------------------------------------------------------------------- *IWBF 2020 | *8th International Workshop on Biometrics and Forensics | *April 29-30, 2020 * | *Porto, Portugal* The International Workshop on Biometrics and Forensics (IWBF) is devoted to facilitating synergies in research and development among the areas of *multimedia forensics*, *forensic biometrics*, and *forensic science*. IWBF 2020 is jointly organized by *INESC TEC*, Porto, Portugal and *NTNU*, Gjovik, Norway. For more information please visit vcmi.inesctec.pt/iwbf2020 ---------------------------------------------------------------------------------------------------------------------------------------- IMPORTANT DATES ---------------------------------------------------------------------------------------------------------------------------------------- *Submission Deadline:* *January 10, 2020* *Acceptance Notification:* *February 17, 2020* *Camera-ready & Registration: **February 28, 2020* *Conference:* *April 29-30, 2020* ---------------------------------------------------------------------------------------------------------------------------------------- TOPICS OF INTEREST ---------------------------------------------------------------------------------------------------------------------------------------- - Multimedia forensics including identification of source devices and source-oriented image clustering; - Integrity verification and authentication of digital content; - Watermarking schemes for ownership identification, ownership proof, and copy control; - Forensic behavioural biometrics; - People identification based on face, iris, fingerprint and soft biometric traits; - Biometric analysis of crime scene traces and their forensic interpretation; - Combination of multimodal biometrics with other forensic evidence; - Biometric-based cybercrime investigation; - Video surveillance for estimation of age, gender and others such as abnormal behaviour/event detection; - Biometric and non-biometric data de-identification; - Resilience of biometric systems to presentation and morphed attacks; - Detection and mitigation of adversarial attacks on biometric systems; - Explainable AI in biometric recognition and presentation attack detection; - Ethical and societal implications of emerging biometrics and forensics modalities; - Emerging threats on biometrics such as Deepfake attacks and detection methods; - Large-scale deployment of biometric recognition systems; - Case studies of the aforementioned topics. ---------------------------------------------------------------------------------------------------------------------------------------- CONTACTS ---------------------------------------------------------------------------------------------------------------------------------------- *General Chair & Academic Questions Workshop Local Organisation* Jaime S. Cardoso (jaime.cardoso at inesctec.pt) Ana Filipa Sequeira (ana.f.sequeira at inesctec.pt) University of Porto & INESC TEC, Porto, Portugal INESC TEC, Porto, Portugal -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.Bowers at bristol.ac.uk Thu Dec 5 12:35:40 2019 From: J.Bowers at bristol.ac.uk (Jeffrey Bowers) Date: Thu, 5 Dec 2019 17:35:40 +0000 Subject: Connectionists: 2 RA (postdoc) positions at University of Bristol, UK Message-ID: Please find links to two RA (postdoc) positions to join the ERC project "Generalisation in Mind and Machine" at University of Bristol, UK. Also, here is a link to our lab page: https://mindandmachine.blogs.bristol.ac.uk/ Feel free to email me if you have any questions, Jeff https://www.jobs.ac.uk/job/BXD841/senior-research-associate https://www.jobs.ac.uk/job/BXF540/erc-research-associate Jeffrey Bowers School of Experimental Psychology University of Bristol Personal website: https://jeffbowers.blogs.bristol.ac.uk/ ERC lab website: https://mindandmachine.blogs.bristol.ac.uk/ Jeffrey Bowers School of Experimental Psychology University of Bristol Personal website: https://jeffbowers.blogs.bristol.ac.uk/ ERC lab website: https://mindandmachine.blogs.bristol.ac.uk/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Christoph.Kirst at ucsf.edu Thu Dec 5 23:55:56 2019 From: Christoph.Kirst at ucsf.edu (Kirst, Christoph) Date: Fri, 6 Dec 2019 04:55:56 +0000 Subject: Connectionists: Post-doctoral Researcher - Statistical machine learning of neural time-series data and mechanisms of network coordination Message-ID: Dear computational neuroscience community, The Kirst lab at UCSF and the Bouchard lab at LBNL/UC Berkeley are looking for a joint post-doctoral researcher to work at the interface of dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand mechanisms underlying flexible network coordination in the brain. This position will focus on developing and applying methods to analyze neurophysiological signals from diverse brain areas.The post-doc will advance the state of the art in analysis methods to characterize brain dynamics and understand distributed computations in diverse brains areas. State-space modeling approaches will be integrated with emerging unsupervised learning and supervised inference procedures. This position will include a strong collaboration with both basic and clinical neuroscience labs across UCSF, UC Berkeley, and LBNL. The position is located at the University of California, San Francisco (UCSF) and LawrenceBerkeley National Laboratory (LBNL), and is part of a broader collaborative effort between UCSF, LBNL, and UCB. This Bay Area collaboration combines UCSF's strong clinical and experimental neuroscience experience with in vivo cortical electrophysiology, UCB's expertise in theoretical neuroscience, statistical learning and data analysis, and LBNL's supercomputing and applied mathematics together with electronics and microfabrication.Successful applicants will have access to the full range of facilities andexpertise uniquely allowed by this collaboration. The position has significant flexibility and the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties, but the successful candidate will take an active role in mentoring students and further developing the research program. Excellent (written and oral) communication skills in English are required. The start date is flexible but ideally would be in June of 2020. Compensation will be commensurate with relevant experience. UCSF has competitive benefits and is an equal opportunity employer. UCSF is located in the Bay Area, which is one of the fastest-growing neurobiology-neurotechnology centers in the United States. The Bay Area offers a wide range of opportunities for recreation, culture, and easy access to domestic and international transportation. Applicants should have aPh.D. (or equivalent degree) in a computational oriented field (e.g., physics, computer science, electrical engineering, data science, etc.,) and/or a track record of advanced data statistical analysis of neural time-series data. Applicants must be able to work in a collaborative, multi-disciplinary environment and exhibit good communication skills. Experience with scientific programing languages (e.g., C/C++,Python, Matlab) is also required. To apply, please submit a CV and three letters of reference to: christoph.kirst at ucsf.edu and kebouchard at lbl.gov Yours sincerely, Christoph Kirst and Kristofer Bouchard -------------- next part -------------- An HTML attachment was scrubbed... URL: From dlinnlp at gmail.com Fri Dec 6 10:19:04 2019 From: dlinnlp at gmail.com (Slavi Slavov) Date: Fri, 6 Dec 2019 17:19:04 +0200 Subject: Connectionists: NETTT'2020 - First Call for Papers Message-ID: *International Conference ?**New Trends in Translation and Technology? (NeTTT)* *Rhodes Island, Greece, 28-30 September 2020* *First Call for Papers* *The conference* The forthcoming International Conference ?New Trends in Translation and Technology? (NeTTT?2020) will take place on the island of Rhodes, Greece, 28-30 September 2020. The objective of the conference is to bring together academics in linguistics, translation studies, machine translation, translation tools and natural language processing, as well as developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation. The conference will be a distinctive event for discussing the latest developments and practices in translation and technology. NeTTT?2020 invites all professionals who would like to learn about recent trends, present their latest work, and/or share their experiences in the field; the conference will be an idea place to establish business and research contacts, collaborations and new ventures. The conference will feature a research track and an industry track and will take the form of presentations (peer-reviewed research and industry presentations, as well as keynote speeches), and posters. The authors of the accepted abstracts will be offered the opportunity to write up full papers which will be published as open-access conference e-proceedings. NeTTT?2020 will be preceded by a two-day summer school on Neural Machine Translation. *Conference topics* We expect contributions to the following topics: *(A) Research track* Submissions are invited for papers reporting on original work related to any topic regarding the latest technology used in machine translation (MT), human translation, computer-assisted translation (CAT), audiovisual translation (AVT), localisation and interpreting. Research papers should have a strong theoretical and/or methodological contribution or should report significant research results. Topics include, but are not limited to, the following: - Machine Translation (any MT-related research activity including Neural Machine Translation, from development to human factors, MT in literary texts, MT in AVT, MT in localisation, MT and creative texts, MT and interpreting) - CAT tools (Translation Memory (TM) systems, integration of MT in TM systems) - Quality assessment and quality control - MT evaluation techniques, metrics, and evaluation results - Speech Technology - Terminology management - Crowdsourcing - Translation Workflow and Management - Training (to include university programmes on translation and interpreting and training in this fast-changing industry) - New and emerging language and mobile technologies - Tools and resources that can support the work of translators, localisers, subtitlers and interpreters, Linguistic resources for MT e.g. dictionaries, termbases, corpora, etc. - Human and cognitive factors in MT and user interfaces - Ethical issues in translation and technology - NLP support for translation - MT integration with NLP tasks *(B) User track* Submissions are invited for reports on case studies and implementation experience with translation technology in LSPs, large corporations, government organisations and NGOs as well as by translation practitioners. Topics include, but are not limited to, the following: - Integrating MT and computer-assisted translation into the translation workflow - Translation Memory systems in practice - Integration of Translation Memory with Machine Translation - Terminology tools - QA and MT evaluation in business settings - Post-editing strategies and tools - Legal and ethical issues associated with translation technology (e.g. copyright, privacy) - Using MT in social media or business communication - Impact of MT on translators? work: ergonomics, invoicing issues, new skill sets required - Freelance translators? independent use of MT - MT and usability - MT in crisis settings - Translation technologies training *Submissions and publication* NeTTT?2020 invites two types of *abstract submissions*: (i) proposals for oral presentations and (ii) proposals for poster presentations. The proposals for oral presentations will be around 750 words and the proposals for poster presentations ? around 500 words. These ?extended abstracts? will be reviewed by at least two members of the Programme Committee. The authors of the accepted abstracts will be offered the opportunity to write up full papers should they wish to, in addition to being offered a presentation slot at the conference. Papers that have been or will be submitted to other conferences or publications must be marked as such at the time of submission in the START submission form. A paper to be published at NeTTT must be withdrawn from other conferences. Full papers will not exceed 7 pages if they are accepted for oral presentations and 4 pages if accepted as poster presentations. The submitted full papers will undergo reviewing by two more members of the Programme Committee who will make suggestions for improvements or revisions (if applicable) to ensure the quality of the final version. The final version of the accepted papers will be published in e-proceedings with an assigned ISBN and DOI. The submission will be electronic, using the Softconf START conference management system, which will be available on the conference website soon. The follow-up calls will provide more further submission details. *Schedule* *Submission deadline* *1* *(*extended abstracts for proposals for oral or poster presentations) 18 May 2020 *Notification of acceptance of abstracts* 15 June 2020 *Submission deadline 2* (optional: full-length papers for publication in the e-proceedings) 20 July 2020 *Notification of acceptance of full papers* 17 August 2020 *Camera-ready versions due* 1 September 2020 *Summer School on Neural Machine Translation* 26-27 September 2020 *NeTTT?2020 conference* 28-30 September 2020 *Keynote Speakers* Sharon O?Brien, Dublin City University Marcello Federico, Amazon Marco Turchi, FBK Trento *Organisation* NeTTT?2000 is organised by the Dimetra Academy for Translators, Greece; Department of Foreign Languages, Translation and Interpreting and Department of Informatics, Ionian University, Greece; Adapt Centre, Dublin City University, Ireland; Research Group in Computational Linguistics, University of Wolverhampton, UK; and the Association of Computational Linguistics, Bulgaria. *Conference Chairs* Sheila Castilho (Dublin City University), Vilelmini Sosoni (Ionian University), Maria Sgourou (Dimetra Academy for Translators, Greece) and Ruslan Mitkov (University of Wolverhampton) are the NeTTT?2020 Chairs. *Organising Committee* Ms Rocio Caro (University of Wolverhampton) Dr Joss Moorkens (Dublin City University) Ms Foteini Moschi (Metaphrasi) Mr Nikolai Nikolov (Association of Computational Linguistics) Ms Maria Stasimioti (Ionian University) Dr Eva Vanmassenhove (Dublin City University) Dr Dimitar Shterionov (Dublin City University) *Programme Committee* The Programme Committee features experts on various aspects of translation and technology for translation. See https://nettt-conference.com/programme-committee/ for more details. *Sponsors* Wordfast (platinum sponsor), Mitra Translations (gold sponsor), and SketchEngine (gold sponsor). *Venue* The conference will take place at the *Sheraton Rhodes Resort *hotel, *https://www.marriott.com/hotels/travel/rhosi-sheraton-rhodes-resort/ * *Accommodation* *Sheraton Rhodes Resort* is a modern, beach-front, 5-star hotel where you can enjoy your stay in a unique setting. Modernity blends with classic style and unobstructed sea views from all floors and hotel areas shape the distinctive character of the hotel, while the high standards of accommodation and hospitality guarantee a memorable stay. The resort is located on the main road to the city of Rhodes, approximately 5 km from the city centre. As NeTTT delegates you will soon be able to book your accommodation at *Sheraton Rhodes Resort* at preferential rates through a special link on the conference website *https://nettt-conference.com *. *Visa Regulations* You will need a valid, up-to-date passport and a Schengen visa, depending on your nationality. Regarding Schengen visa requirements, please visit the website of the Hellenic Ministry of Foreign Affairs at the following link in order to find out whether you need a Schengen visa to visit Greece: *https://www.mfa.gr/en/visas/visas-for-foreigners-traveling-to-greece/countries-requiring-or-not-requiring-visa.html *. Genuine prospective attendees who need an invitation letter should contact *nettt2020 at nettt-conference.com *. *Further information and contact details* The second call for papers is expected in January 2020 and registration will be open as from March 2019. The conference website is *https://nettt-conference.com * and will be updated on a regular basis. For further information, please contact us at *nettt2020 at nettt-conference.com *. -------------- next part -------------- An HTML attachment was scrubbed... URL: From t.donner at uke.de Sat Dec 7 09:57:01 2019 From: t.donner at uke.de (Tobias Donner) Date: Sat, 7 Dec 2019 15:57:01 +0100 Subject: Connectionists: Several Postdoc Positions to be filled in 2020 Message-ID: <1F9B6FC1-F16C-46FF-BFB3-F744CE8B594D@uke.de> Several Postdoc Positions in Computational Cognitive Neuroscience to be filled in 2020 The Donner lab at the University Medical Center Hamburg-Eppendorf (UKE) aims to fill several postdoc positions during the course of 2020. The vacant positions are for projects in computational cognitive neuroscience with links to psychiatry, and they are funded for a full duration between two and five years. Positions can start any time from March 2020 to early 2021. Applications will be reviewed until all positions are filled. The Donner lab combines pharmacological intervention, psychophysics, eye-tracking, and neuroimaging (MEG and fMRI) in human subjects with computational modeling and advanced data analysis. Ongoing work focuses on (i) decision-related cortical feedback signals and biases in perception and cognition (including confirmation biases); (ii) the impact of cortical excitation-inhibition balance on inference and decision-making; and (iii) the shaping of the latter by neuromodulatory systems (including stress). These topics are studied in the healthy brain and in neuropsychiatric disorders. The lab maintains several collaborations with leading theoretical, cellular, and clinical neuroscientists. The UKE provides an excellent infrastructure for state-of-the-art cognitive neuroscience, including multiple neuroimaging facilities (e.g., research-only MEG and MRI scanners, EEG and TMS systems), and a streamlined procedure for pharmacological intervention studies in healthy human subjects. The new lab members will join existing teams with extensive expertise in the above techniques and topics. In addition to running new experiments, there is an option to engage in (i) data analysis / modeling projects on an already existing pool of pharmacological MEG data sets targeting distinct neurotransmitter systems, and (ii) ongoing collaborations on brain disorders and in-vivo neurophysiology (including calcium imaging and opto/-chemogenetics) within the Collaborative Research Center 936 (http://www.sfb936.net ). The Donner lab is committed to diversity and seeks applications from qualified individuals from all demographics, genders, and backgrounds. Candidates should have or expect a Ph.D. in neuroscience or related discipline, and strong computational and analytical skills. Experience in quantitative psychophysics, behavioral/neural modeling, MEG, and/or advanced data analysis, is a plus. However, the main criteria are a strong academic track record and a commitment to scientific excellence. Applications should include a motivation letter, a CV including publication list, copies of university degrees and courses (including obtained grades), and the names and e-mail addresses of two scientists, who can provide references (do not include reference letters). The publication list should include also manuscripts / thesis chapters under review or in preparation, and conference abstracts, plus a brief (2-3 sentences) synopsis of all lead-author papers. Copies of key papers and preprints are welcome. Please send your application materials as PDF (ideally in one file) to: t.donner at uke.de Further information on, and publications from the lab, can be found here: http://www.tobiasdonner.net Prof. Dr. Tobias H. Donner Professor of Integrative Neuroscience University Medical Center Hamburg-Eppendorf -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- -- _____________________________________________________________________ Universit?tsklinikum Hamburg-Eppendorf; K?rperschaft des ?ffentlichen Rechts; Gerichtsstand: Hamburg | www.uke.de Vorstandsmitglieder: Prof. Dr. Burkhard G?ke (Vorsitzender), Prof. Dr. Dr. Uwe Koch-Gromus, Joachim Pr?l?, Marya Verdel _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING -------------- next part -------------- An HTML attachment was scrubbed... URL: From kamdarmax at gmail.com Fri Dec 6 21:44:03 2019 From: kamdarmax at gmail.com (Maulik Kamdar) Date: Fri, 6 Dec 2019 21:44:03 -0500 Subject: Connectionists: Final Call for Contributions for U.S. Semantic Technologies Symposium 2020 [Deadline Extension] Message-ID: Call for Contributions (Session Proposals and Lightning Talks) Extended Deadlines!! 3rd U.S. Semantic Technologies Symposium 2020, 9 ? 11 March 2020, Raleigh, North Carolina. https://us2ts.org/ ===================================== The US2TS Symposium series is an emerging premier forum for fostering community between academic, industry and government researchers and practitioners in the US that develop or apply semantic technologies. The interest in semantics has been strengthened by the growing dependence on the Web and the continuously increasing importance of large-scale data sharing, integration, and reuse. Semantics is an inherently multi-disciplinary field that attracts engagement from a broad range of researchers and practitioners. Participants at the US2TS come from disciplines in computer science and engineering, natural sciences, geoscience, biology, library science, biomedical and health care sciences, social sciences and the humanities, and many others. Discussions at the symposium cover core topics such as the Semantic Web, Ontologies, Knowledge Graph, Linked Data and AI on the Web, Privacy and Trust, etc., as well as the intersection of such topics with areas such as the Internet of Things (IoT) and Blockchains. US2TS 2020 organizational committee invites your contributions and participation in the 2020 edition of US2TS to be held on 9 ? 11 March 2020, in Raleigh, North Carolina. At this time, we are seeking two kinds of contributions (calls for other kinds of contributions will follow shortly). ===================================== ** Call for Sessions Proposals ===================================== We solicit anyone with an interest in the Semantic Web to propose a session for US2TS 2020. A session is any relevant activity that can fit into a 90 minutes slot (you can also propose a session that takes more than one slot). Examples of sessions are: - a panel discussion - a series of presentations on a topic - breakout-style discussions on a proposed topic - a tutorial As the main goal of the Symposium is to foster synergies and collaborations from different fields, we recommend that: 1. At least 2-3 people, preferably from different institutions, propose the session. This is not a strict requirement, mostly a recommendation (if you have a good case for a different setting we will definitely take your proposal into account). 2. All the session leaders are asked to confirm and commit to participate at the time of submission. 3. If your proposal already names speakers or panelists, you must state whether their participation is already confirmed. We encourage session proposals about cross-discipline topics which are of concern for participants from existing sub-communities ** Submission Guidelines -------------------------------------------------------------- Please prepare a (max) 2 page submission indicating: - Name of the session - Topic: please indicate which cross-discipline topics the session will tackle. Here you can also specify if there is any particular vertical of interest (e.g. legal, life science, medical, publisher/scholarly data, cultural heritage, library, museum, oil/gas, engineering, airplane, e-commerce, etc) - Type of session: Panel | Presentations | Break-out discussion | Tutorial | BOF | Other (please specify) - Short description of the session - The 2/3 person team (names & affiliations) that will lead the session - Speakers(when applicable). It is strictly required to specify the speakers if you are proposing a panel, in which case they must be already confirmed. - Expected participation (give a prediction of who would be interested in attending your session) - Submit your proposal on easychair: https://easychair.org/conferences/?conf=us2ts2020 and select Session Proposal as topic ** Symposium outcome -------------------------------------------------------------- After the Symposium we will invite all session chairs to co-edit a summary of the event, which will be formally published. ** Important Dates -------------------------------------------------------------- - Deadline for submissions: * December 9th 2019 * - Notifications: December 18th 2019 - Final program for the sessions: January 14th 2020 - Symposium dates: March 9-11, 2020 ===================================== Call for Lightning Talks ===================================== ** Deadline for submissions: Open until slots filled (first-come first-served) -------------------------------------------------------------- We will have two Lightning Talks sessions. These will be an open forum where any of the participants can present on a chosen topic. Examples of things to discuss: - late breaking research - a position statement - blue sky ideas - new datasets announcements ** Rules: -------------------------------------------------------------- - each presenter will have exactly one slide (PDF, landscape, 3:4) - each presenter will have 2 minutes (we might adjust the time slightly, according to participation, but at least 2 minutes) - presentation slots will be awarded on a first-come-first-served basis (submit early to avoid disappointment) - submit your talk using easychair: https://easychair.org/conferences/?conf=us2ts2020 and selecting "Lightning Talks" as topic ===================================== ** Contact ===================================== All questions about submissions should be emailed to contact us at us2ts2020-org AT googlegroups DOT com You are also welcome to join our social network on LinkedIn at https://www.linkedin.com/groups/13783135/ Look forward to your great contributions and participation. See you all on March 9 - 11, 2020, Raleigh, USA. -------------- next part -------------- An HTML attachment was scrubbed... URL: From johannes.kleiner at itp.uni-hannover.de Fri Dec 6 10:51:27 2019 From: johannes.kleiner at itp.uni-hannover.de (Johannes Kleiner) Date: Fri, 6 Dec 2019 16:51:27 +0100 Subject: Connectionists: Workshop and Special Issue on Formal Approaches to Consciousness Message-ID: <34fde954-42de-d2ed-20d6-ce471d81bb45@itp.uni-hannover.de> Dear colleagues, I hope this email finds you well! Two quick announcements for those of you who are working on topics related to consciousness and cognition: a) A small workshop on formal approaches: https://modelling-consciousness.org/ It's open to everyone, but might be particularly interesting for your younger colleagues. The deadline for application is January 31st, 2020. b) A a special issue of the journal "Entropy" dedicated to formal models: https://www.mdpi.com/journal/entropy/special_issues/Mod_Cons The extended deadline for submission is February 29, 2020. With best wishes, Johannes *? * *?* -------------- next part -------------- An HTML attachment was scrubbed... URL: From songx at ohsu.edu Fri Dec 6 11:21:41 2019 From: songx at ohsu.edu (Xubo Song) Date: Fri, 6 Dec 2019 16:21:41 +0000 Subject: Connectionists: PhD Positions in Machine Learning and Image Analysis at Oregon Health and Science University Message-ID: Two PhD trainee and two postdoc positions are available at Oregon Health and Science University, opening immediately till filled. Machine learning and deep learning are changing how biomedical research is conducted and how patients are diagnosed and treated. Computational image analysis leverages large-scale machine learning on high performance computing infrastructure to transform qualitative science to quantitative science. We develop innovative machine learning and computer vision algorithms and apply them to biomedicine so that they are used by biomedical researchers and physicians in the clinic. First and foremost, you will be trained to become a machine learning scientist (most of our graduates work in high-tech companies such as Microsoft, Nvidia, Intel, Apple, and Amazon). Furthermore, you will work in an exciting interdisciplinary environment with the potential to directly impact medical research, cancer care and patients? lives. You Will: * Work and collaborate with a diverse team of machine learning experts, imaging scientists, cancer biologists, radiologists and medical doctors to build a new generation of artificial intelligence in cancer research, detection and treatment. * Create algorithms and software in machine learning and deep learning for quantitative image analysis that enable discoveries in biomedicine and the evaluation of biological variation in diseases such as cancer. The tasks may include image registration, segmentation, characterization, quantification, and analysis. The imaging modalities may include electron microscopy, cyclic immunofluorescence, MRI and CT. * Leverage the unique opportunity within the field of computer vision and cancer research provided by the massive amount of image data at OHSU for conventional and unconventional modeling with clinical and biomedical relevance, such as (semi-)supervised, weakly supervised and unsupervised machine learning methods. * Have the opportunity to leverage modern computing clusters with hundreds of GPU?s and large cluster of DGX nodes. Required Skills: * Bachelor?s or Master?s Degree in Computer Science, Electrical Engineering, Biomedical Engineering, Math, Physics, or other engineering and science field. * Strong analytical and computing skills. * Proficiency in advanced programming languages such as Python, Matlab, C/C++ or Java. * Interest in machine learning & deep learning and their application in medicine. * Knowledge about cancer biology and microscopic imaging is a plus. OSHU is located in Portland, Oregon, in the Pacific Northwest. It is in close proximity of the ?Silicon Forest? that consists of many high-tech companies. Portland boasts a thriving biotech scene with many biomedical companies, and is known for its mild climate, natural beauty, access to outdoors, and quality of living. Please send your CV to songx at oshu.edu. -------------- next part -------------- An HTML attachment was scrubbed... URL: From giannaccini.m at gmail.com Fri Dec 6 13:12:23 2019 From: giannaccini.m at gmail.com (maria elena Giannaccini) Date: Fri, 6 Dec 2019 18:12:23 +0000 Subject: Connectionists: Lecturer in Robotics Post at the University of Aberdeen Message-ID: <45F5B8F8-DD6D-4B80-8719-BAA10103995D@gmail.com> Dear Connectionist Team, If you deem it relevant, would you kindly post the following message on your mailing list? ?The School of Engineering at the University of Aberdeen is seeking the appointment a Lecturer/Senior Lecturer/Reader in Robotics to play leading roles in expanding the School?s research portfolio in this exciting area as well as preparing for the launch of the new MSc programme in Industrial Robotic Systems. The successful candidates will also be expected to generate external research income and contribute to teaching across existing undergraduate and postgraduate programmes in the School. We are looking for outstanding candidates who could make a significant contribution to the development of our portfolio of undergraduate and postgraduate programmes. Successful applicants will have a proven track record of research, valuable industrial experience, outstanding communication skills and the desire and ability to teach well at undergraduate and postgraduate levels. A willingness and ability to develop 2 new courses (during Year 1) and contribute to other activities in preparation for the launch of the new MSc in Industrial Robotic Systems is a core requirement. The successful candidate will have a PhD in Robotics, Mechatronics, Applied Control or a cognate discipline. We are particularly seeking expertise in the following areas of teaching and research: ? Robotics and the related topics within electronics and systems engineering with preference for robotic manufacturing, reconfigurable robots, soft robotics and bio-inspired robotics ? Mechatronics with preference for design and control of precision mechatronic systems, MEMS and NEMS. ? Applied Control Engineering with preference for distributed control, industrial control, quantum control and sensor fusion. ? Research and development of EEE techniques to support industrial control, communications or measurement applications. For appointments made at Lecturer/Senior Lecturer Level, salary will be at the appropriate point on the Grade 7/8 salary scale (Lecturer Level ?41,526 - ?49,552 per annum; Senior Lecturer level ?52,559 - ?59,135 per annum) with placement according to qualifications and experience. Any appointment will be made subject to satisfactory references and a period of probation. To apply visit https://www.abdnjobs.co.uk/vacancy/lecturer-senior-lecturer-reader-in-robotics-382935.html For further information on various staff benefits and policies please visit www.abdn.ac.uk/staffnet/working-here Should you require a visa to undertake paid employment in the UK you will be required to fulfil the minimum points criteria to be granted a Certificate of Sponsorship and Tier 2 visa. As appropriate, at the time an offer of appointment is made you will be asked to demonstrate that you fulfil the criteria in respect of financial maintenance and competency in English. Please do not hesitate to contact Heather Clark (h.m.clark at abdn.ac.uk ) for further information. Online application forms are available at www.abdn.ac.uk/jobs The Closing date for receipt of applications is 5 January 2020. Informal enquiries should be made to Professor Igor Guz, Head of School of Engineering, e-mail: i.guz at abdn.ac.uk Please do not send application forms or CVs to Professor Guz. Please quote reference number ENG132A on all correspondence The University pursues a policy of equal opportunities in the appointment and promotion of staff. In order to further enhance its diversity, the School particularly welcomes applications from women who are currently under represented in the School.? Kind regards, Elena Giannaccini -------------- next part -------------- An HTML attachment was scrubbed... URL: From juergen at idsia.ch Fri Dec 6 12:54:53 2019 From: juergen at idsia.ch (Juergen Schmidhuber) Date: Fri, 6 Dec 2019 18:54:53 +0100 Subject: Connectionists: Jobs for PostDocs & PhD Students at the Swiss AI Lab, IDSIA In-Reply-To: References: <74D7495B-FA5A-4DAE-B1DF-F058AAEA06E1@idsia.ch> <6A5ED248-1217-4BBE-B258-AAB8695A0B2B@idsia.ch> <5094EF7B-7F80-474B-B26F-E77B046D8531@idsia.ch> Message-ID: <37B01572-7E65-4695-8FCB-5AD3D4AB7715@idsia.ch> We intend to interview prospective PhD students and postdocs at NeurIPS 2019 in Vancouver. Please find instructions under http://people.idsia.ch/~juergen/erc2017.html NNAISENSE will also be present, and is also hiring: https://nnaisense.com/careers.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 julie.josserennes at gmail.com Sun Dec 8 03:14:44 2019 From: julie.josserennes at gmail.com (Julie) Date: Sun, 8 Dec 2019 09:14:44 +0100 Subject: Connectionists: Postdoc/Phd Thesis/ Internship offers: Causal inference and policy learning for personalized medicine Message-ID: see attached document, For more info, contact, Julie Josse and Karim Lounici -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: sujetP.pdf Type: application/pdf Size: 105671 bytes Desc: not available URL: From yaochu.jin at surrey.ac.uk Sun Dec 8 10:46:32 2019 From: yaochu.jin at surrey.ac.uk (Yaochu Jin) Date: Sun, 8 Dec 2019 15:46:32 +0000 Subject: Connectionists: Professor/Reader/Senior Lecturer/Lecturer positions in Computer Science, University of Surrey, UK Message-ID: Professor/Reader/Senior Lecturer/Lecturer positions in Computer Science, University of Surrey, UK Closing Date: Sunday 5 January 2020 Link: https://jobs.surrey.ac.uk/vacancy.aspx?ref=091419 The Department of Computer Science at the University of Surrey, is looking for new faculty members at all academic career levels. I would appreciate your assistance in directing the information to truly outstanding candidates who might be interested in moving to Surrey. We are looking for people in the following areas: machine learning, distributed systems, cloud computing, programming-languages principles, robotics, and the intersection of security and AI, as well as the established areas of cyber security and AI research within the Department. The posts also provide an opportunity to expand our research in new directions including Dev Ops and human factors. The Department has an ambitious growth strategy and very strong student numbers. We are looking to attract talented individuals who will inspire, lead, and make a significant impact in their research and to student experience. The Department is part of a School with the Department of Electrical and Electronic Engineering. The post also provides opportunities to create links with the research centres across the School and the wider University. With respect to the senior positions there is an opportunity for some of the lecturer/senior lecturer posts to support those appointments. We encourage candidates seeking senior positions to engage in discussions with the Department on their vision for leading research. The senior posts will also provide leadership in the Department. Thank you for your assistance in spreading the word, Helen Treharne -- Professor of Computer Science Department of Computer Science University of Surrey Email: H.Treharne at surrey.ac.uk Skype: helen.treharne Mobile: 07812034597 From srodrigues at bcamath.org Sun Dec 8 14:03:36 2019 From: srodrigues at bcamath.org (Serafim Rodrigues) Date: Sun, 8 Dec 2019 20:03:36 +0100 Subject: Connectionists: PhD position in Computational and Mathematical Neuroscience: Drug Discovery Message-ID: *This position encourages students in Engineering, Mathematics, Physics (or Biophysics) or Computer Science to apply.* We are seeking students that are highly motivated to pursue a PhD project that interfaces several fields, including Neuroscience, Computer Science, Biophysics with the aim to screen new drugs against Alzheimer?s Disease. The project will employ advanced methods in computer science (e.g. machine learning, molecular simulations) and other advanced methods from mathematics and biophysics to develop drugs with high therapeutic efficacy against identified pathways in Alzheimer?s patients. The project will be developed at BCAM (Basque Centre for Applied Mathematics) in Bilbao in collaboration with several centres in France, Canada and Singapore. Candidate?s requirements: - Should have completed an MSc. - The following background knowledge are desirable - Programming - Mathematics - Biophysics. Interested students, please contact srodrigues at bcamath.org -- Serafim Rodrigues Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues at bcamath.org | www.bcamath.org/srodrigues *(**matematika mugaz bestalde)* -------------- next part -------------- An HTML attachment was scrubbed... URL: From hausser at gmail.com Sun Dec 8 19:04:08 2019 From: hausser at gmail.com (Michael Hausser) Date: Mon, 9 Dec 2019 00:04:08 +0000 Subject: Connectionists: UCL Optical Biology PhD Program: deadline 13th December Message-ID: We invite applications for the new Optical Biology 4-year PhD program at University College London. The program brings together neuroscientists, cell biologists, physicists, chemists and computational scientists at UCL, with world-leading industrial and academic partners, to deliver an integrated training programme in the most advanced optical methods and analysis tools. The program offers a strong focus on bespoke personal mentorship and career development support for students. Full funding will be available for top-ranked applicants; research expenses will also be provided, as well as funds to attend international courses and meetings. We also provide transition costs at the end of the PhD to help you move to the next stage of your career. The application deadline is December 13, 2019. For more details and information about applying please visit: https://opticalbiology.org Applications and queries should be sent to: opticalbiologyPhD at ucl.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From avellido at cs.upc.edu Mon Dec 9 09:41:57 2019 From: avellido at cs.upc.edu (Alfredo Vellido) Date: Mon, 9 Dec 2019 15:41:57 +0100 Subject: Connectionists: 1st CFP, IEEE WCCI/IJCNN special session on Explainable Computational/Artificial Intelligence In-Reply-To: <5117f588-082c-b0bb-b6ad-5eaf6ce5faef@lsi.upc.edu> References: <5117f588-082c-b0bb-b6ad-5eaf6ce5faef@lsi.upc.edu> Message-ID: Apologies for cross-posting =================== 1st CALL FOR PAPERS =================== IEEE WCCI/IJCNN 2020 Special Session on EXPLAINABLE COMPUTATIONAL/ARTIFICIAL INTELLIGENCE July 19-24, 2020, Glasgow, Scotland, UK. www.cs.upc.edu/~avellido/research/conferences/IJCNN2020-ssExplainableML.html Aims & Scope ------------ The spectacular successes in machine learning (ML) have led to a plethora of Artificial Intelligence (AI) applications. However, the large majority of these successful models, like deep neural networks, support vector machines, etc. are black boxes, opaque, non-intuitive and difficult for people to understand. There are critical domains that demand more intelligent, autonomous, and symbiotic systems, like medicine, security, legal, the military, finance and transportation, to mention a few, for which performance is not the only quality indicator. These are areas where decision-making faces high risks due to the involvement of human lives, critical infrastructure, very costly operations, national threats, etc. In situations like these, decision makers need much more that numeric performance in favor of alternative solutions that provide rationale and are more knowledge-based. The goal of Explainable AI (XAI) is to create a suite of ML techniques that i) result in more explainable models, while maintaining a high level of learning performance, but also ii) enable human users to develop understanding to be able to trust the model, and effectively manage a new generation of artificially intelligent machine tools. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems is limited by the machines' current inability to explain their decisions and actions to human users. This session will explore the performance-versus-explanation trade-off space. This will include ML models that are interpretable by design. Some, like fuzzy systems and rule induction, have general function approximation properties. Very important are also algorithms producing models in mathematic languages such as algebraic functions and differential equations, piecewise non-linear models, etc. Despite of the differences in the approaches, there are common elements and basic methodologies that are present in many applications.? We will bring together researchers from different fields to discuss key issues related to the research and applications of XAI methods and to share their experiences of solving common problems. Topics that are of interest to this session include but are not limited to:- ???? Interpretable ML Models ???? Query Interfaces for Deep Learning ???? Interactive User Interfaces ???? Active and Transfer learning ???? Relevance and Metric Learning ???? Practical Applications of Interpretable Machine Learning ???? Deep Neural Reasoning Important Dates --------------- Paper submission: January 15, 2020 Paper decision notification: March 15, 2020 Session Chairs -------------- Julio J. Vald?s (National Research Council Canada) Paulo J.G. Lisboa, Sandra Ortega-Martorell, Iv?n Olier (Liverpool John Moores University, U.K.) Alfredo Vellido (Universitat Polit?cnica de Catalunya, Spain) From p.gleeson at ucl.ac.uk Mon Dec 9 09:59:21 2019 From: p.gleeson at ucl.ac.uk (Gleeson, Padraig) Date: Mon, 9 Dec 2019 14:59:21 +0000 Subject: Connectionists: Research Associate in the Open Source Brain project, University College London Message-ID: <492c1ac9-0006-2d68-b508-575ae884f9b3@ucl.ac.uk> (Apologies for cross postings) The Silver lab (http://silverlab.org) at University College London is looking to hire a postdoc/research associate to work on a project to extend the functionality of the Open Source Brain platform (http://www.opensourcebrain.org, Gleeson et al. Neuron 2019) to support the sharing of standardised experimental neuroscience data alongside neuronal models. This will involve building web-based infrastructure and the curation and standardisation of neuroscience models (in NeuroML format) and data (in Neurodata Without Borders format). This will facilitate collaborative model development and model reuse by the community as well as enable interactive display and analysis of models and neuroscience data through the browser. A PhD in neuroscience, physics, computer science or a related field is required, as well as experience in computational neuroscience, neuroinformatics, or development of analysis pipelines for electrophysiology and imaging data. A strong foundation in computer programming, with strong competencies in data structures, algorithms and software design is essential, along with demonstrable knowledge of UNIX/Linux, experience of web development technologies and Python and/or JavaScript programming experience. The successful applicant will have the opportunity to fully participate in the academic activities related to this initiative including contributing to research and attending scientific conferences. Deadline for applications is 3rd Jan 2020. The post is funded for 2 years in the first instance. Full details can be found here. For informal enquiries, please contact p.gleeson at ucl.ac.uk ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson at ucl.ac.uk ----------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From rrhh at cttc.es Mon Dec 9 10:20:54 2019 From: rrhh at cttc.es (RRHH) Date: Mon, 9 Dec 2019 16:20:54 +0100 Subject: Connectionists: =?utf-8?q?_Researcher_position_in_the_Communicati?= =?utf-8?q?on_Technologies_Division_=E2=80=93_M2M_Department?= In-Reply-To: <9873032c-c23f-7958-3a71-eb40a0bdf930@cttc.es> References: <9873032c-c23f-7958-3a71-eb40a0bdf930@cttc.es> Message-ID: Dear @ll, This is to inform you the offer of a *Researcher position in the Communication Technologies Division ? M2M Department* http://www.cttc.es/career/call-29-2019-1/ Thanks for forwarding this information to any potentially interested candidates. Laura Casaus CTTC Av. Carl Friedrich Gauss 7, B-4 08860 Castelldefels Tel.: +34 93 645 29 00 rrhh at cttc.cat www.cttc.cat Logo HR _DATA PROTECTION INFORMATION. Data controller: CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA (G62616586):_ We inform you that your identification data and the data contained in the emails and attached files can be incorporated into our databases, in order to maintain professional and / or commercial relationships, and that it will be preserved throughout the relationship. According to the current regulations, you can exercise your right to access, rectification, erasure, restriction of processing, to portability and to object by sending an email to dpo at cttc.cat. This message and any attached document, where appropriate, may be confidential and intended for the original recipient only. Before printing this e-mail or attachments, be sure it is necessary. It is in our hands to protect the environment. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: logohr.jpg Type: image/jpeg Size: 5873 bytes Desc: not available URL: From smart at neuralcorrelate.com Mon Dec 9 11:07:15 2019 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Mon, 9 Dec 2019 11:07:15 -0500 Subject: Connectionists: Vote TODAY for the Best Illusion of the Year! In-Reply-To: <0b6d01d5aeaa$67b339d0$3719ad70$@neuralcorrelate.com> References: <0ac001d5aea8$64755ed0$2d601c70$@neuralcorrelate.com> <0b2801d5aea9$8353f040$89fbd0c0$@neuralcorrelate.com> <0b6d01d5aeaa$67b339d0$3719ad70$@neuralcorrelate.com> Message-ID: <0ba801d5aeaa$bc5ef230$351cd690$@neuralcorrelate.com> Worldwide voting for the 15th Best Illusion of the Year Contest started at 9am EST on Monday, December 9th, and will remain open through noon EST on Thursday, December 12th, 2019! The Top 3 Illusions of the Year will be announced on the Contest?s website at 9am on Friday, December 13th. The Best Illusion of the Year Contest, hosted by the Neural Correlate Society, is now an online competition, in which anybody with an internet connection (that means YOU!) can vote to pick the Best Illusion of the Year. The Top 10 finalist illusions competing for first, second, and third place have been selected from dozens of entries from countries all around the world. The 1st place winning illusion will receive a $3,000 award, the 2nd place winner a $2,000 award, and the 3rd place winner a $1,000 award. The Neural Correlate Society thanks the Museum of Mind, Gold Sponsor of the 2019 Best Illusion of the Year Contest, for its generous support. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse -------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience 2014 Society for Neuroscience?s Science Educator Award 2014 Empire Innovator Scholar State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From demian.battaglia at univ-amu.fr Mon Dec 9 11:59:44 2019 From: demian.battaglia at univ-amu.fr (BATTAGLIA Demian) Date: Mon, 9 Dec 2019 16:59:44 +0000 Subject: Connectionists: PhD Opening on large-scale dynamics of functional networks and information Message-ID: We are recruiting one PhD fellow at the Institute for Systems Neuroscience at Aix-Marseille University. The student will work within Dr. Demian Battaglia?s group (theoretical neuroscientist), in strict interaction with other researchers at Aix-Marseille University (Andrea Brovelli, systems and cognitive neuroscientist; Alain Barrat, complex networks physicist). The project will delve with the analysis of multi-frequency dynamic brain networks in large-scale electrophysiological recordings. Brain regions interact between them in a highly dynamic manner even to perform very simple tasks, preventing too simplistic attempts of description. Flexibly changing patterns of information exchange and integration can be tracked using novel information theoretical and time-series analyses tools and generating directed multi-layer temporal networks representations of the data. In the framework of this project, a variety of different large-scale electrophysiological datasets (from rodents to non-human primates and humans), will be characterized based on complex network analyses tools that, initially forged in statistical physics, have not yet been adapted to be compliant with neural datasets, although they provide a natural language to describe the complex ?life? of cell assemblies and transiently integrated coalitions of brain regions. The PhD fellow will characterize how spatio-spectro-temporal network patterns correlate or predict behavior and cognitive performance (e.g. in working memory or spatial navigation tasks) and, potentially, how these patterns are altered in specific animal pathology models (AD, ALS?). Network analyses of empirical data may be complemented by the design of connectome-based computational models of multi-scale oscillations, to reverse engineer physiological mechanisms (e.g. alterations of excitability) that may underpin generalized functional connectivity changes, in control or pathological conditions. This project is one of the ?ESR? (Early Stage Researcher) positions opening within the Marie Sk?odowska-Curie Innovative Training Network (ITN) project ?i-Conn? funded by the European Commission, under their H2020 program. Such prestige program offers ideal conditions to the successful candidate such as: a salary well superior to the national average of ~1.9k euros monthly (plus family allowance when applies), net after taxes, with full social security coverage; and generous grant money for training and traveling to conferences. Through the ITN project activities, the PhD fellow will have the opportunity to come in contact with leading research groups in the UK, Germany, Czech Republic, Austria and Cyprus adopting network science techniques in a wide variety of disciplines, including neuroscience, but also socio-economics, geography, astronomy, etc. At Aix-Marseille University, the PhD fellow will integrate the second largest neuroscience community in France in a dynamic university with emphasis on interdisciplinary approaches. The PhD fellow will profit of the high-level training opportunities provided by the local ?NeuroSchool? (https://neuro-marseille.org/en), an excellence PhD program in clinical and integrative neuroscience, as well as by convergence institutes as the Turing Center for Living Systems (http://centuri-livingsystems.org). In addition, Marseille is a vibrant multi-cultural city located in the beautiful natural and cultural context of Southern France, at a few hours only by direct high-speed train from European cities as Paris, Barcelona, Brussels or Frankfurt. We seek for candidates with computational neuroscience, physics or computer science/machine learning background (ideally but not necessarily). The most important prerequisite is the willingness and skill to explore large-scale datasets. Previous experience in programming, computational modeling or network analyses is a plus. The working and training language is English. IMPORTANT! some strict eligibility requirements apply to be eligible as an Early Stage Researcher funded by Marie Sk?odowska-Curie program: 1) The applicant should have ? at the date of recruitment ? less than 4 years of a research career, and not have a doctoral degree. The 4 years are measured from the date when they obtained the degree which would formally entitle them to embark on a PhD, either in the country where the degree was obtained or in the country where the PhD is provided. 2) Trans-national mobility: The applicant ? at the date of recruitment? should not have resided in the country where the research training takes place for more than 12 months in the 3 years immediately prior to recruitment, and not have carried out their main activity (work ,studies, etc.) in that country. For refugees under the Geneva Convention (1951 Refugee Convention and the 1967 Protocol), the refugee procedure (i.e. before refugee status is conferred) will not be counted as ?period of residence/activity in the country of the beneficiary?. To register your interest in applying for this position please, and to ask for any further information, please contact demian.battaglia at univ-amu.fr. To apply for this position, we require a copy of your CV, degree transcripts, motivation letter and the names and/or recommendation letters of 2 referees. Please include your master thesis as well and any publication you authored (included manuscripts at preprint or sufficiently advanced draft stages). -------------- next part -------------- An HTML attachment was scrubbed... URL: From pblouw at uwaterloo.ca Mon Dec 9 16:34:57 2019 From: pblouw at uwaterloo.ca (Peter Blouw) Date: Mon, 9 Dec 2019 16:34:57 -0500 Subject: Connectionists: Call for Applications - 2020 Nengo Summer School Message-ID: [All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 7th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to Loihi, Intel?s neuromorphic research chip [1], and will learn to run high-level applications on Loihi using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [2], which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at a recent summer school, check out this short video: https://goo.gl/4tVUkQ We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. [1] Davies, et al. (2018). Loihi: A neuromorphic manycore processor with on-chip learning. IEEE Micro. Vol. 38 no. 1 pp. 82-99. [ https://ieeexplore.ieee.org/document/8259423] [2] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] ***Application Deadline: February 15, 2020*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on building neuromorphic applications, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: - interface Nengo with various kinds of neuromorphic hardware (e.g. Loihi, SpiNNaker, BrainDrop) - interface Nengo with (spiking and normal) cameras and robotic systems - integrate machine learning methods into biologically oriented models - implement modern nonlinear control methods in neural models - build perceptual, motor, and sophisticated cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - and much more? Date and Location: June 7th to June 19th, 2020 at the University of Waterloo, Ontario, Canada. Applications: Please visit https://www.nengo.ai/summer-school/, where you can find more information regarding costs, travel, lodging, along with an application form. We ask that you provide a short description of a possible project, and to briefly indicate how this project might make use of the tools and methods that the summer school will be covering, as listed above. If you have any questions about the school or the application process, please contact Peter Blouw (peter.blouw at appliedbrainresearch.com). The school is partially supported by Applied Brain Research, Inc. We look forward to hearing from you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From michal.rafal.zareba at gmail.com Mon Dec 9 15:42:51 2019 From: michal.rafal.zareba at gmail.com (=?UTF-8?B?TWljaGHFgiBaYXLEmWJh?=) Date: Mon, 9 Dec 2019 21:42:51 +0100 Subject: Connectionists: NEURONUS 2020 IBRO Neuroscience Forum (24-26 April 2020, Krakow, Poland) Message-ID: CALL FOR ABSTRACTS and REGISTRATION for NEURONUS 2020 IBRO Neuroscience Forum (24-26 April 2020, Krakow, Poland) are now OPEN! More information and the application forms can be found on our website: http://neuronusforum.pl/. With prominent speakers and an unique atmosphere of one of the oldest and most beautiful Polish cities, NEURONUS IBRO Neuroscience Forums have established themselves in the European calendar of scientific events as a platform for communication between scientists from different fields of neuroscience. The program of the conference consists of numerous sessions on biological, cognitive, computational and medical aspects of neuroscience, creating a dynamic environment for sharing knowledge. The schedule of the meeting is further complemented with lectures by invited guests, and we invest a lot of effort to attract as influential neuroscientists as possible. This year?s keynote speakers include: - Karl Friston (University College London, the UK) - Pico Caroni (University of Basel, Switzerland) - Karin Roelofs (Radboud University Nijmegen, the Netherlands) - Alejandro Schinder (Leloir Institute, Buenos Aires, Argentina) - Adam Hampshire (Imperial College London, the UK) - Dayu Lin (New York University School of Medicine, the USA) Furthermore, a special panel concerning the Future of Neuroscience will be held. So far, we have confirmed participation of two pioneering researchers: - Viktor Jirsa (Aix-Marseille University, France) - Dominik Paquet (Ludwig Maximilian University of Munich, Germany) During the upcoming 11th edition of the conference, we will traditionally continue to put emphasis on development of early-career researchers. The main purpose of this event is to provide means for both young and experienced neuroscientists to share the latest discoveries, knowledge and experience in neuroscience, as well as make valuable contacts with scientists representing various fields of neurobiology. We actively promote young scientists through preferentially allocating oral presentations of their experimental results. We strongly encourage you to join this special initiative, and hope to see you in the pleasant spring scenery of Krakow! On behalf of the Organising Committee, Micha? Zar?ba -------------- next part -------------- An HTML attachment was scrubbed... URL: From Vitomir.Kovanovic at unisa.edu.au Tue Dec 10 00:46:57 2019 From: Vitomir.Kovanovic at unisa.edu.au (Vitomir Kovanovic) Date: Tue, 10 Dec 2019 05:46:57 +0000 Subject: Connectionists: Associate Director (Associate Professor), The Centre for Change and Complexity in Learning, University of South Australia. Message-ID: <8950742022584db2945df3f9b2a2b80d@ITUPW-EXMBOX2B.UniNet.unisa.edu.au> Hi all, The Centre for Change and Complexity in Learning (C3L) at the University of South Australia is looking for an Associate Director (Associate Professor Level). The focus of the role is on providing strategic and operational leadership in research activities in the domain of Learning Analytics, Educational Data Mining, and Artificial Intelligence in Education. The position is a five-year contract on the level of Associate Professor (Level D) and based at UniSA City West campus in Adelaide's CBD. Closing date is Feb 2, 2020. Selection criteria: 1. A PhD qualification in a relevant area such as computer science; artificial intelligence, machine learning; data science; or learning analytics. 2. Demonstrated ability to create and lead high-performing and productive research teams, including collaboration with researchers from other national and international universities/research entities. 3. Evidence of attracting diversified research income from competitive grants, government bodies and industry in Australia or equivalent internationally. 4. Sustained track record of research leading to high-quality publications with clear evidence of senior authorship in areas such as learning analytics, applied AI, data science, educational psychology 5. Established record as a principal supervisor of successful HDR student completions. 6. Proven ability to engage and establish strong links with relevant industry and community bodies, with evidence of outcomes from these partnerships. 7. Evidence of sustained contribution to the professional development of other staff, including leadership in mentoring See the full job description at UniSA jobs website About the Centre: The Centre for Change and Complexity in Learning (C3L) is an interdisciplinary research centre focusing on the interplay between human and artificial cognition and their effect on human learning. Co-directed by Professor Shane Dawson and Professor George Siemens, the centre has a strong track-record in Learning Analytics and Educational Technology Research. More info about C3L centre at https://unisa.edu.au/research/C3L/ Best, Vita --------------------------------------------------------------------- Dr Vitomir Kovanovi? Research Fellow, School of Education, University of South Australia Data Scientist, Teaching Innovation Unit, University of South Australia Visiting Researcher, LINK Lab, University of Texas Arlington, USA Secretary, Society for Learning Analytics Research (SoLAR) Academic Editor (Education, Pedagogy), PLOS One University of South Australia GPO Box 2471, Adelaide SA 5001 CRICOS Provider Number 00121B Office: City West Campus Room BH3-21 Web: http://vitomir.kovanovic.info Phone: +61 8 830 27377 -------------- next part -------------- An HTML attachment was scrubbed... URL: From iccc.conference at gmail.com Tue Dec 10 07:22:55 2019 From: iccc.conference at gmail.com (Int. Conference on Computational Creativity) Date: Tue, 10 Dec 2019 12:22:55 +0000 Subject: Connectionists: CFP: Call for papers for the 11th International Conference on Computational Creativity (ICCC'20) Message-ID: Dear Colleague, Below you will find the official Call for Full papers of the next International Conference on Computational Creativity (ICCC?20), which will take place in Coimbra, Portugal. Please feel free to distribute it to mailing lists you manage and to everybody who may be interested. Thank you and we hope to see you in Coimbra for ICCC?20! If you wish to receive more information about ICCC?20 subscribe here Follow us at facebook , twitter or instagram ------------------------------------------------ *The 11th International Conference on Computational Creativity (ICCC'20)* June 29 ? July 03 2020, Coimbra, Portugal *Call for papers: full regular papers* http://computationalcreativity.net/iccc20/full-papers/ Please distribute (Apologies for cross-posting) ------------------------------------------------ Computational Creativity (or CC) is a discipline with its roots in Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology and Philosophy that explores the potential for computers to be autonomous creators in their own right. ICCC is an annual conference that welcomes papers on different aspects of CC, on systems that exhibit varying degrees of creative autonomy, on frameworks that offer greater clarity or computational felicity for thinking about machine (and human) creativity, on methodologies for building or evaluating CC systems, on approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology, and so on. **** Themes and Topics **** Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to: ? Applications that address creativity in specific domains such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, and programming. ? Applications and frameworks that allow for co-creativity between humans and machines, in which the machine is more than a mere tool and takes on significant creative responsibility for itself. ? Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, and for the evaluation of how systems are perceived in society. ? Syntheses of AI/CC treatments of very different genres or domains of creativity (e.g. art and science, humour and mathematics, language and image, etc.) ? Computational paradigms for understanding creativity, including heuristic search, analogical and meta-level reasoning, and representation. ? Resource development and data gathering/knowledge curation for creative systems, especially resources and data collections that are scalable, extensible and freely available as open-source materials. ? Ethical considerations in the design, deployment or testing of CC systems, as well as studies that explore the societal impact of CC systems. ? Cognitive and psychological computational models of creativity, and their relation with existing cognitive architectures and psychological accounts ? Innovation, improvisation, virtuosity and related pursuits investigating the production of novel experiences and artefacts within a CC context. ? Computational accounts of factors that enhance creativity, including emotion, surprise(unexpectedness), reflection, conflict, diversity, motivation, knowledge, intuition, reward structures. ? Computational models of social aspects of creativity, including the relationship between individual and social creativity, diffusion of ideas, collaboration and creativity, formation of creative teams, and creativity in social settings. ? Perspectives on computational creativity which draw from philosophical and/or sociological studies in a context of creative intelligent systems. ? Computational creativity in the cloud, including how web services can be used to foster unexpected creative behaviour in computational systems. ? Big data approaches to computational creativity. ? Debate papers that raise new issues or reopen seemingly settled ones. Provocations that question the foundations of the discipline or throw new light on old work are also welcome. Papers on computational paradigms of all kinds ? from symbolic to statistical to deep learning models, as well as hybrid approaches ? are welcome, provided they address pertinent aspects of CC as sketched above. **** Paper Types **** We welcome the submission of five different types of papers: Technical papers, System or Resource description papers, Study papers, Cultural application papers and Position papers. **** Important Dates **** Submissions due: March 1, 2020 Acceptance notification: April 20, 2020 Camera-ready copies due: May 22, 2020 Conference: June 29 ? July 03, 2020 **** More Information **** More information on the paper types and submission process can be found at http://computationalcreativity.net/iccc20/full-papers/ **** Organising Committee **** ? General Chair Amilcar Cardoso, University of Coimbra, Portugal ? Program Chairs: Penousal Machado, University of Coimbra, Portugal and Tony Veale, University College Dublin, Ireland ? Local Chair: Pedro Martins, University of Coimbra, Portugal ? Media Chair: Jo?o Miguel Cunha, University of Coimbra, Portugal ------------------------------------------------ *Follow us at:* facebook ? https://www.facebook.com/pg/computationalcreativity/ twitter ? https://twitter.com/iccc_conf instagram ? https://www.instagram.com/iccc_conf/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Tue Dec 10 09:08:48 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Tue, 10 Dec 2019 16:08:48 +0200 Subject: Connectionists: 14th International Conference on Research Challenges in Information Science (RCIS 2020): Third Joint Call for Tutorials, DC, Posters and Demos In-Reply-To: <60CD78D6-5E07-416F-9516-43ABE16B1C2F@cs.ucy.ac.cy> References: <44330110-137F-4B56-B4BE-CDD88B280A8F@cs.ucy.ac.cy> <21AAA08E-D19C-418D-821C-FF9EFD1616CE@cs.ucy.ac.cy> <2B91A57C-8095-40B9-954C-8B20428159A9@cs.ucy.ac.cy> <1BE051A2-07D0-4CFE-932E-663E775B4E1B@cs.ucy.ac.cy> <60CD78D6-5E07-416F-9516-43ABE16B1C2F@cs.ucy.ac.cy> Message-ID: <6C08C3E3-C981-4628-8C66-0D35A4010EEB@cs.ucy.ac.cy> *** Third Joint Call for Tutorials, Doctoral Consortium, Posters and Demos *** 14th International Conference on Research Challenges in Information Science (RCIS 2020) Royal Apollonia Beach Hotel 5*, Limassol, Cyprus May 20-22, 2020, Limassol, Cyprus http://rcis-conf.com/ Submission deadline: February 14, 2020 (AoE) (Proceedings to be published by Springer) RCIS has become a recognized conference on research challenges in Information Science. Organized for the 14th time in a row, RCIS 2020 will be held from May 20-22, 2020, in Limassol, Cyprus. The topics of interest are organized into some major categories (more details in the call for papers http://www.rcis-conf.com/rcis2020/callPapers.php ): ? Information Systems and their Engineering ? User-Oriented Approaches ? Data and Information Management ? Business Process Management ? Domain-specific IS Engineering ? Data Science ? Information Infrastructures ? Reflective Research and Practice IMPORTANT DATES FOR ALL SATELLITE EVENTS ? Submission deadline for all paper types: February 14, 2020 (AoE) ? Notification to authors and registration opening: March 15, 2020 ? Author registration deadline for all paper types: March 31, 2020 ? Camera-ready copy deadline for all paper types: March 31, 2020 ? Conference: May 20-22, 2020 TUTORIALS Tutorials are intended to provide independent instruction (know-how) on a topic of relevance, no commercial or sales-oriented. Potential presenters should keep in mind that there might be a varied audience, including novice graduate students, seasoned practitioners, and specialized researchers. Tutorial speakers should be prepared to cope with this diversity. The conference has specific slots for tutorials. They will be organized in sessions of 90 minutes with a free format. Tutorials run in parallel with other conference tracks, and participation is included in the attendees? conference fee. We invite proposals for tutorials that may address one or more of the listed topics below, although authors should not feel limited by them. Tutorial proposals are limited to 5 pages in Springer LNCS/LNBIP format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines ). Proposals must be submitted using the conference submission site (https://easychair.org/conferences/?conf=rcis2020 ), where you choose "RCIS2020 Tutorials". Instructions on the structure of a tutorial proposal can be found online: http://www.rcis-conf.com/rcis2020/tutorials.php . Tutorial Chairs ? Estefania Serral Asensio, KU Leuven, Belgium ? Ignacio Panach, University of Valencia, Spain DOCTORAL CONSORTIUM The RCIS 2020 Doctoral Consortium is an opportunity for doctoral students to present, discuss and develop their research project in an interdisciplinary workshop, under the guidance of a panel of senior researchers. The Doctoral Consortium offers nice opportunities for PhD students. Firstly, the feedback received during the Doctoral Consortium will really benefit students who have defined their topic, research plan and have obtained early results, but who still have room for improving their longer-term plan. Secondly, students at all stages of their doctoral project can meet the welcoming RCIS community and widen their network of contacts. The Doctoral Consortium has the following objectives: ? Provide a platform for students to present their work and to meet other peers and be familiar with different research topics and methods. ? Provide feedback on students' current research and guidance on future research directions. ? Promote the development of a supportive community of scholars and a spirit of collaborative research and networking. ? Contribute to the conference goals through interaction with other researchers. Interested PhD students are invited to submit papers, in agreement with their supervisors, addressing the instructions that are provided on the online call: http://www.rcis-conf.com/rcis2020/callDoctoral.php . Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . Submissions must be written in English, and must be authored by the student only. The maximum length of the paper should be eight (8) pages, including references, appendices, etc. The submission site address is https://easychair.org/conferences/?conf=rcis2020 where you can choose "RCIS2020 Doctoral Consortium". Doctoral Consortium Chairs ? Raian Ali, Bournemouth University, United Kingdom ? Sergio Espa?a, Utrecht University, Netherlands POSTERS AND DEMOS The posters & demos track will showcase prototypes and new research ideas in Information Science. This track provides a forum for researchers and practitioners to present their work, interact with conference participants, and obtain feedback on on-going research. We invite two types of submissions: ? Posters are intended to convey a research result and are not advertisements for commercial software packages. While posters need not describe completed work, they should report on research for which at least some preliminary results are available. ? Demonstrations should directly and actively involve the exhibition and display of tools/prototypes and associated materials that illustrate research work in progress and serve as ground for discussion of research ideas. Posters and demonstrations proposals must be submitted as a single PDF file with no more than 6 pages in Springer LNCS/LNBIP format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines ) including references and appendices. Proposals that exceed the limit of 6 pages will be rejected without review. Proposals that have already been accepted or are currently under review for other conferences or journals will not be considered for publication at RCIS 2020. The submission site address is https://easychair.org/conferences/?conf=rcis2020 where you can choose "RCIS2020 Posters & Demos". More details on the submission and presentation format is online: http://www.rcis-conf.com/rcis2020/callPostersDemo.php . Posters & Demos Chairs ? Elena Kornyshova, Conservatoire National des Arts et M?tiers, France ? Marcela Ruiz, Zurich University of Applied Sciences, Switzerland CONFERENCE COMMITTEES General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Pericles Loucopoulos, Harokopio University of Athens, Greece Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Jelena Zdravkovic, Stockholm University, Sweden ? Fabiano Dalpiaz, Utrecht University, Netherlands -------------- next part -------------- An HTML attachment was scrubbed... URL: From wermter at informatik.uni-hamburg.de Tue Dec 10 13:25:07 2019 From: wermter at informatik.uni-hamburg.de (Wermter, Stefan) Date: Tue, 10 Dec 2019 19:25:07 +0100 Subject: Connectionists: [jobs] Neural Network models for language and interactive robots Message-ID: <7ead2744-2650-e70d-e8c5-b387b7e47db4@informatik.uni-hamburg.de> The Department of Informatics, Institute of Knowledge Technology, invites applications for multiple positions as RESEARCH ASSOCIATES (Postdocs and PhD Students) in the context of the project CROSSMODAL LEARNING: Neural network models for language and interactive robots. Positions commence from January 2020 or as soon as possible thereafter and are in accordance with Section?28 subsection?3 of the Hamburg higher education act (Hamburgisches Hochschulgesetz, HmbHG) on SALARY LEVEL 13 TV-L. These are fixed-term contracts in accordance with Section?2 of the academic fixed-term labor contract act (Wissenschaftszeitvertragsgesetz, WissZeitVG). The term is fixed for up to 4 years until 31st of December 2023. The full-time positions call for 39 hours per week. Responsibilities: Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications. Specific Duties: Duties in the project include the design, development and evaluation of neurocognitive models of crossmodal language learning as well as neurorobotic models for crossmodal joint attention and social interaction. The overall project aims to deepen interdisciplinary research between computer science, neuroscience, and psychology in order to set up collaborative research with a focus on human-robot-collaboration, artificial intelligence, neuroscience and psychology while focusing on the topic of cross-modal learning. The long-term challenge is to understand the neural, cognitive and computational evidence of cross-modal learning and to use this understanding for (1) better analyzing human performance with cross-modal correspondence and (2) building effective cross-modal computational and robot systems. Requirements: A university degree in a relevant subject. For doctoral positions, academic degree of MSc in computer science, computer engineering or similar. For post-doctoral positions, a doctorate, or equivalently the experience of more than three years of doctoral studies plus publications in the area of Intelligent Systems are required. The degree must qualify the post holder to carry out the above-mentioned duties. Programming skills in some of Python, C, ROS, Tensorflow or PyTorch are required. Your demonstrated research interests should be in some of the areas of Intelligent Systems (e.g. Neural Networks, Robotics, Machine Learning, Speech, Vision, or Affective Processing). International publication experience is expected. Very good communication skills in English are expected. The University aims to increase the number of women in research and teaching and explicitly encourages qualified women to apply. Equally qualified female applicants will receive preference in accordance with the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz, HmbGleiG). Qualified disabled candidates or applicants with equivalent status receive preference in the application process. As a University of Excellence, Universit?t Hamburg is one of the strongest research universities in Germany. As a flagship university in the greater Hamburg region, it nurtures innovative, cooperative contacts to partners within and outside academia. It also provides and promotes sustainable education, knowledge, and knowledge exchange locally, nationally, and internationally. For further information, please contact Prof. Dr. Stefan Wermter or consult our website at: https://www.informatik.uni-hamburg.de/wtm/ Applications should include a cover letter, a tabular curriculum vitae, pdf of best publications, and copies of degree certificate(s). Please send applications by 15.01.2020 or until the post gets filled to Ms Katja Koesters (katja.koesters at informatik.uni-hamburg.de) in a single pdf document. *********************************************** Professor Dr. Stefan Wermter Director of Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Email: wermter AT informatik.uni-hamburg.de https://www.informatik.uni-hamburg.de/WTM/ *********************************************** From laszlojeni at cmu.edu Tue Dec 10 14:31:35 2019 From: laszlojeni at cmu.edu (Laszlo A. Jeni) Date: Tue, 10 Dec 2019 14:31:35 -0500 Subject: Connectionists: Postdoc position in multimodal affective computing and computational psychiatry Message-ID: The Affect Analysis Group at Carnegie Mellon University/University of Pittsburgh seeks a PhD to work in one of two areas. One is affective motor response to deep brain stimulation in participants with treatment-resistant depression and obsessive-compulsive disorder. This project aims to reveal neural substrates of emotion and develop closed-loop systems to optimize treatment response. The other area is multimodal communication of depression and includes family interaction and therapist-client communication in evidence-based treatment. Both areas emphasize multimodal communication (face, body, voice), domain transfer, multimodal levels of analysis (central- and peripheral physiology and behavior), and interpersonal influence. The individual projects are described in more detail at http://jeffcohn.net/Projects/ Candidates with a PhD degree in computer vision, machine learning, or related field or PhD in behavioral science with strong quantitative background (multi-level modeling and machine learning) and coding skills are encouraged to apply. Primary supervisors are Jeff Cohn (University of Pittsburgh and CMU) and Laszlo Jeni (CMU). The position is to begin February 1 or later for a period of two years or longer. Please send letter of interest (Name_loi.pdf), representative publications, and letters of recommendation to jeffcohn at cs.cmu.edu or jeffcohn at pitt.edu. -- +------------------------------------------ | Laszlo A. Jeni, PhD | Systems Scientist (faculty) | Robotics Institute | Carnegie Mellon University, | Web: http://www.laszlojeni.com | Email: laszlojeni at cmu.edu | Tel: (+1) 412-268-4461 +------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Tue Dec 10 17:20:47 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Tue, 10 Dec 2019 17:20:47 -0500 Subject: Connectionists: NEURAL NETWORKS, Dec. 2019 Message-ID: <2203f791-d56c-b441-b1ca-3bc4cda035db@cse.ohio-state.edu> Neural Networks - Volume 120, December 2019 http://www.journals.elsevier.com/neural-networks SPECIAL ISSUE in Honor of the 80th Birthday of Stephen Grossberg Guest Editorial: Admiring the Great Mountain Donald C. Wunsch Looking to the future: Learning from experience, averting catastrophe Gail A. Carpenter Noise-boosted bidirectional backpropagation and adversarial learning Olaoluwa Adigun, Bart Kosko Adaptive Resonance Theory in the time scales calculus John Seiffertt Episodic memory: A hierarchy of spatiotemporal concepts Michael J. Healy, Thomas P. Caudell Self-organizing neural networks for universal learning and multimodal memory encoding Ah-Hwee Tan, Budhitama Subagdja, Di Wang, Lei Meng One or two minds? Neural network modeling of decision making by the unified self Daniel S. Levine Moving in time: Simulating how neural circuits enable rhythmic enactment of planned sequences Omar Zeid, Daniel Bullock Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns John M. Wandeto, Birgitta Dresp-Langley Uncertainty-based modulation for lifelong learning Andrew P. Brna, Ryan C. Brown, Patrick M. Connolly, Stephen B. Simons, ... Mario Aguilar-Simon Salience-aware adaptive resonance theory for large-scale sparse data clustering Lei Meng, Ah-Hwee Tan, Chunyan Miao Neural dynamics of emotion and cognition: From trajectories to underlying neural geometry Luiz Pessoa A survey of adaptive resonance theory neural network models for engineering applications Leonardo Enzo Brito da Silva, Islam Elnabarawy, Donald C. Wunsch From kamdarmax at gmail.com Tue Dec 10 23:21:05 2019 From: kamdarmax at gmail.com (Maulik Kamdar) Date: Tue, 10 Dec 2019 23:21:05 -0500 Subject: Connectionists: [US2TS 2020] Call for Intended Participation at the U.S. Semantic Technologies Symposium 2020 Message-ID: Call for Intended Participation 3rd U.S. Semantic Technologies Symposium 2020, 9 ? 11 March 2020, Raleigh, North Carolina. https://us2ts.org/ ===================================== The US2TS Symposium series is an emerging premier forum for fostering community between academic, industry, and government researchers and practitioners in the US that develop or apply semantic technologies. The interest in semantics has been strengthened by the growing dependence on the Web and the continuously increasing importance of large-scale data sharing, integration, and reuse. Participants at the US2TS come from disciplines in computer science and engineering, natural sciences, geoscience, biology, library science, biomedical and health care sciences, social sciences and the humanities, and many others. Discussions at the symposium cover core topics such as the Semantic Web, Ontologies, Knowledge Graph, Linked Data and AI on the Web, Privacy and Trust, etc., as well as the intersection of such topics with areas such as the Internet of Things (IoT) and Blockchains. ===================================== At this time, we are seeking to understand the interests and motivations of prospective participants, who are already planning or are considering to attend the 3rd US2TS. ** Form for Intended Participation: https://forms.gle/7VdmyBH6XWFrffQM6 We would appreciate if you could fill out the above form to help us gather additional information to structure a productive yet distinct program for this symposium. There is no commitment for you to fill this form out. Even if there is only a small chance that you would be attending this year, we would request you to fill out the form. The data that is collected is going to be used only to inform how the program should be organized. We will maintain the results private. Name, organization and email is optional. If you do fill it out, we may contact you to follow up on any questions we may have. ===================================== ** Contact ===================================== All questions about submissions should be emailed to contact us at us2ts2020-org AT googlegroups DOT com You are also welcome to join our social network on LinkedIn at https://www.linkedin.com/groups/13783135/ Look forward to your great contributions and participation. See you all on March 9 - 11, 2020, Raleigh, USA. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jbonaiuto at gmail.com Wed Dec 11 09:49:01 2019 From: jbonaiuto at gmail.com (James Bonaiuto) Date: Wed, 11 Dec 2019 15:49:01 +0100 Subject: Connectionists: Postdoc position at CNRS/Inserm Message-ID: Dear all, I'd like to announce the following postdoctoral position on the role of oscillations in brain communication and motor behavior: This position is available for a highly motivated postdoctoral researcher in Lyon, France, at the Lyon Neuroscience Research Center (CRNL) and at the Institute for Cognitives Sciences Marc Jeannerod (ISCMJ) under the direction of Mathilde Bonnefond, Ph.D and James Bonaiuto, PhD. The position is funded for 7 months and 2 years by two grants from the European Research Council (n?716862 and n?864550 respectively). The project is aimed at determining the role 1) of brain oscillations at different frequencies in brain communication and 2) of beta bursts in motor behavior. The candidate will use cutting edge techniques in both high precision magnetoencephalography (MEG) and high resolution functional magnetic resonance imaging (fMRI, 3.0 T Siemens scanner) with healthy human volunteers. The post-doctoral fellow will: ? develop and optimize the analysis of laminar level source signals as well as cortico-cortical functional connectivity applied to oscillatory activities. ? analyze data from an fMRI experiment aiming at optimizing the analysis of MEG data for each participant. ? analyze the relationship between three-dimensional movement kinematics and beta burst activity ? synthesize results, write reports and scientific articles. The postdoctoral fellow will work together with a research assistant whose involvement in MEG/fMRI recording will be limited. Enthusiastic and self-motivated candidates are encouraged to apply. The successful candidate will benefit from structured mentoring support and opportunities for travel and presentation at national meetings. The CRNL and ISCMJ are multidisciplinary research institutes offering a vibrant working atmosphere in an international environment with multiple opportunities for seminars, workshops and methodological clubs. *Expected starting date*: Mid-February 2018 the earliest, but applications will be considered until the position is filled. *Job Requirements:* * [Mandatory] Ph.D. in Cognitive Neuroscience, Engineering or related field * [Mandatory] Autonomy in programming in MATLAB or Python * [Mandatory] Experience in using imaging analysis software (MNE, SPM, Fieldtrip, FSL, BrainVisa ...) * Knowledge of brain oscillations and signal processing * Experience with computer vision and analysis of movement kinematics is a plus * Fluency and solid writing skills in English are expected. French is absolutely not a requirement. *How to Apply:* Please send your application to BraindynMobeta at gmail.com with the following information: -CV including a brief (1/2 page) summary of previous research -Short letter of motivation describing research interests -Name of two colleagues who could provide a recommendation Please indicate "Post-doc application Braindyn Mobeta" as the subject of your email. James Bonaiuto Institut des Sciences Cognitives Marc Jeannerod 67 Bd Pinel , 69675, Bron Cedex, France james.bonaiuto at isc.cnrs.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tingting.Mu at manchester.ac.uk Wed Dec 11 10:20:25 2019 From: Tingting.Mu at manchester.ac.uk (Tingting Mu) Date: Wed, 11 Dec 2019 15:20:25 +0000 Subject: Connectionists: Natural Language Processing and Machine Learning Scientist (KTP Associate), University of Manchester, UK Message-ID: We are seeking an ambitious research scientist with expertise in Natural Language Processing and Machine Learning to work on a 30-month Knowledge Transfer Partnership (KTP) project with VoiceIQ Limited, with a salary of ?41,526 to ?51,034 per annum, depending on relevant experience. The project aims at developing innovative AI solutions to the problem of automatically detecting consumer vulnerability from communication channels by embedding state-of-the-art natural language processing and machine learning techniques. Please see more information from the link: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=18367 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Dec 11 10:50:15 2019 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Wed, 11 Dec 2019 17:50:15 +0200 Subject: Connectionists: Last call for join to CVML live Web lecture series: Web lecture 'Fast Convolution Algorithms for deep learning and computer vision', 14th December 2019, 11:00 EET Message-ID: <015e01d5b03a$ae854920$0b8fdb60$@csd.auth.gr> Dear Computer vision/machine learning, students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, AUTH is proud to launch the live CVML Web lecture series that will cover very important topics Computer vision/machine learning. Top scientists internationally will deliver these lectures, aiming at providing in-depth knowledge on various CVML topics. The 1-hour lectures will take place on Saturdays, to avoid conflicts with other intended registrant schedules/duties: a) Saturdays 11:00 EET (17:00 Beijing time) and b) Saturdays 20:00 EET (13:00 EST, 10:00 PST for NY/LA, respectively) for audience in the Americas. Each lecture will be announced at least 1 week in advance in various relevant email lists and in the www page: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. The first web lecture on 'Fast Convolution Algorithms for deep learning and computer vision' by Professor Ioannis Pitas (see attached abstract and CV), will take place on 14th December 2019, 13:00 EET only. Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Fast convolution algorithms for computer vision and machine learning 2D convolutions play an extremely important role in machine learning, as they form the first layers of Convolutional Neural Networks (CNNs). They are also very important for computer vision (template matching through correlation, correlation trackers) and in image processing (image filtering/denoising/restoration). 3D convolutions are very important for machine learning (video analysis through CNNs) and for video filtering/denoising/restoration. 1D convolutions are extensively used in digital signal processing (filtering/denoising) and analysis (also through CNNs) Therefore, 1D/2D/3D convolution algorithms are very important both for machine learning and for signal/image/video processing and analysis. As their computational complexity is of the order O(N^2), O(N^4) and O(N^6) respectively their fast execution is a must. This lecture will overview linear and cyclic convolution. Then it will present their fast execution through FFTs, resulting in algorithms having computational complexity of the order O(Nlog2N), O(N^2log2N) for 1D and 2D convolutions respectively. Finally, optimal Winograd 1D and 2D convolution algorithms will be presented having theoretically minimal number of computations. Emphasis will be on 1D convolution algorithms, as there will be another lecture on 2D convolution algorithms soon. Prof. I. Pitas was lucky to have done his PhD degree on fast convolution algorithms more than 30 years ago. Now this topic re-emerged as key technology for deep learning and computer vision, primarily to address fast CNN training and inference, thanks to advances primarily in GPU programming, but also in multicore CPU programming. Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities. His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas leads the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org/. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el AIIA Lab www.aiia.csd.auth.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From joana.pereira at ki.se Wed Dec 11 15:07:10 2019 From: joana.pereira at ki.se (Joana Pereira) Date: Wed, 11 Dec 2019 20:07:10 +0000 Subject: Connectionists: Postdoctoral Researcher in Neuroimaging at Karolinska Institutet Message-ID: Dear all, We are looking for a Postdoc to work in an interdisciplinary and internationally competitive environment at Karolinska Institute, one of the top medical universities in the world and the home for the Nobel Prize in Medicine. We combine imaging analyses, statistical tools, machine learning algorithms, biofluid assays and genetics to study brain aging and the earliest signs of Alzheimer?s and Parkinson?s diseases. This project will be carried out under the supervision of Assistant Professor Joana B. Pereira and it will involve analyzing cross-sectional and longitudinal imaging data, combining clinical measures and cerebrospinal fluid biomarkers, as well as writing manuscripts and presenting results in international conferences. The fellow is expected to be independent, develop his or her own projects, supervise students and show an interest in approaches based on graph theory. In addition, he/she will have the opportunity to develop new skills, analyze large datasets, apply for grants and develop a wide network of collaborations. The ideal candidate should have the following qualities: - A PhD in neuroimaging, computational science, neuropsychology, physics, statistics or a related field; - Experience in statistical techniques, programming, or scripting; - Experience with structural MRI, DTI, fMRI or PET imaging analyses; - Clinical or research experience with aging and/or neurodegenerative disorders. - Excellent record of scientific publications. The Postdoctoral studies will be performed for 1 year, with possible extension for an additional year. There are also possibilities for a longer appointment after this 2-year period. To apply please go to: https://ki.varbi.com/what:job/jobID:305265/ For further information or general inquires, please contact Joana B. Pereira (joana.pereira at ki.se). Best wishes, Joana N?r du skickar e-post till Karolinska Institutet (KI) inneb?r detta att KI kommer att behandla dina personuppgifter. H?r finns information om hur KI behandlar personuppgifter. Sending email to Karolinska Institutet (KI) will result in KI processing your personal data. You can read more about KI?s processing of personal data here. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Thu Dec 12 05:59:00 2019 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Thu, 12 Dec 2019 10:59:00 +0000 Subject: Connectionists: Postdoc (3 yrs) in dynamical reconfigurations of neural populations during movement In-Reply-To: References: , Message-ID: A 3 year postdoc post is available in the lab of Prof Mark Humphries, at the University of Nottingham (UK) In this project, our aim is to test the overarching hypothesis that movement transitions are encoded by the same neural population reconfiguring its joint activity, for both rhythmic and discrete movements. We will tackle this question by developing new computational algorithms for dynamic systems, and applying them to newly-available population recordings during rhythmic movement transitions in Aplysia and discrete arm movement transitions in monkeys, The Humphries? group researches fundamental insights into how the joint activity of neurons encodes information about and actions in the world. For more see: https://www.humphries-lab.org Queries: mark.humphries at nottingham.ac.uk Deadline: 10th January 2020 Full details, and to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI182819X1 Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience Lab: humphries-lab.org Twitter: @markdhumphries Public blog: https://medium.com/the-spike 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. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiankliu at gmail.com Thu Dec 12 07:19:31 2019 From: jiankliu at gmail.com (Jian Liu) Date: Thu, 12 Dec 2019 12:19:31 +0000 Subject: Connectionists: BBSRC MIBTP PhD Studentships in Computational Neuroscience at Leicester Message-ID: Three fully-funded BBSRC MIBTP PhD Studentships in Computational Neuroscience are available at the Centre for Systems Neuroscience, the University of Leicester (UK). To apply, please visit: https://le.ac.uk/study/research-degrees/funded-opportunities/bbsrc-mibtp https://sites.google.com/site/jiankliu/join-us *The application deadline is 12 January 2020.* *1. Neuronal coupling across spatiotemporal scales and dimensions of cortical population activity* * Dr. Michael Okun and Dr. Jian Liu, CSN/NPB, University of Leicester* https://www.findaphd.com/phds/project/neuronal-coupling-across-spatiotemporal-scales-and-dimensions-of-cortical-population-activity/?p116607 The human cortex is the most complex known system. It is responsible for a vast range of sensorimotor, decision making, and other cognitive abilities of humans and other mammals. The activity of cortical neuronal networks is organised across multiple spatiotemporal scales, and remains poorly understood. Our laboratory is particularly interested in the relationship between the activity of an individual neuron and of the larger networks within which the neuron is embedded (Lewis, 2015). For example, we have recently compared the coupling between neurons and their local network across an extensive range of timescales, finding major timescale-dependent distinctions, suggestive of different mechanisms regulating cortical activity on different timescales (Okun et al., 2019). We use recordings using next-generation high-density silicon probes for data collection (Jun et al., 2017) and advanced computational methods for their analysis. There are several computational projects available in the above research area, relying on data we are collecting in the laboratory as part of ongoing projects, as well as on publicly available datasets. The projects are suitable for students with a background in exact sciences or computer science and programming. *2. Decoding movement kinematics from subpopulations of motor cortex neurons* * Dr. Todor Gerdjikov and Dr. Jian Liu, CSN/NPB, University of Leicester* https://www.findaphd.com/phds/project/decoding-movement-kinematics-from-subpopulations-of-motor-cortex-neurons/?p116590 The purpose of the current project is to investigate novel approaches for decoding movement parameters from neural data acquired from morphologically distinct motor cortex neurons. Using computational approaches we will investigate the relationship between forelimb movement kinetics and neural activity in subpopulations of output-defined motor cortex neurons. Firstly, we will link activity in discrete output-defined M1 neuronal populations to movement parameters in rats trained in a skilled reaching task. This aspect of the work will rely on modern viral approaches to separately tag neurons belonging to different projections and record their activity in behaving rats using fibre photometry and/or extracellular neurophysiology. Computational approaches such as machine learning and neural network modelling will be used to decode kinematics derived from movement data. A second aspect of the work will involve causal experiments where we will use optogenetics to selectively ?turn off? the activity of discrete projections. We will investigate how these manipulations affect fine motor control in behaving rats to causally tease apart the contribution of each projection to motor control. *3. Towards a functional model for associate learning and memory formation* * Dr. Jian Liu and Professor Rodrigo Quian Quiroga, CSN/NPB, University of Leicester* https://www.findaphd.com/phds/project/towards-a-functional-model-for-associate-learning-and-memory-formation/?p116600 This project aims to study the most up-to-date experimental data regarding single-neuron and network learning and coding in humans, with the expectation that a functional model could be established thereon. If possible, this model shall be not just biologically descriptive but also computationally implementable, as the stimulation protocol is based on the natural scenes of visual and auditory scenes that are beyond the simple protocols. This project involves data analysis where the data of human recordings will be provided by local researchers at our Centre. We will have access to the data of single-cell hippocampal recordings during memory and learning tasks of human subjects under the natural stimulations. Based on these data, we will draw a hypothesised theoretical model that is plausible for these new sets of experimental data as well as for other related published results. Furthermore, designs of new experiments based on the theoretical predictions shall also be made such that the model could be experimentally testified or falsified. -------------- next part -------------- An HTML attachment was scrubbed... URL: From O.Inel at tudelft.nl Fri Dec 13 05:18:55 2019 From: O.Inel at tudelft.nl (Oana Inel) Date: Fri, 13 Dec 2019 10:18:55 +0000 Subject: Connectionists: Second Student Consortium Call for Papers Message-ID: <2F591BB4-9DF0-4575-A9E5-E4B06A7BE06D@tudelft.nl> * We apologize for cross-posting * *** ACM IUI 2020: Second Student Consortium Call for Papers *** Cagliari, Italy March 17-20, 2020 http://iui.acm.org/2020/call_for_studentconsortium.html Important Dates: - Submission Due: Jan 3, 2020 ?????????????????????????????? Overview The IUI 2020 Student Consortium is intended to provide an opportunity for Doctoral and advanced Masters students to present and receive feedback about their research in an interdisciplinary workshop, under the guidance of a panel of mentors selected from senior researchers in the field. We invite students who feel they would benefit from this kind of feedback on their research to use this unique opportunity to share their work with students in a similar situation. The consortium will be organized with 8 to 12 student presentations selected by the Student Consortium chairs and potentially other reviewers. The strongest candidates will be those who have a clear topic and research approach, and have made some progress, but who are not so far along in their research so that they can still update their research topics or methods. The final version of accepted SC submissions will be included in the main conference proceedings published in the ACM DL. Complimentary/reduced conference registration will be available for students. Student Consortium participants will also be given high priority when applying for the student travel awards. Moreover, we are working to provide partial reimbursement of travel/accommodation expenses specifically for the participants of the Student Consortium. Objectives The objectives of the student consortium are to: 1. Serve as a supportive setting to provide/receive feedback on students' current doctoral and masters' research and guidance on future research directions 2. Offer each student comments and fresh perspectives on their work from researchers and students outside of their own institution 3. Promote the development of a supportive community of scholars and a spirit of collaborative research 4. Contribute to the conference goals through interaction with other researchers and conference events Submission Instructions To apply for the Student Consortium, please submit to the URL below a single PDF containing the following (in order): 1. A brief cover letter containing your full name, contact details, affiliation, web page, expected graduation date and target degree, the name of your thesis advisor, gender (optional), home country (optional), and whether you are a member of an underrepresented minority group (optional) - one page maximum. 2. Your SC submission: a document describing your thesis/dissertation research plan and your progress thus far and should be no more than two pages long, including references. Key points the submission should include: Motivation for your dissertation research, goal and research questions, related work that frames your research, methods/approach to reach the goal, results if any, and next steps for your research. 3. Submissions should follow the standard sigconf format, using one of the following templateshttps://www.acm.org/publications/proceedings-template. 4. Your CV (maximum two pages). Submit your single PDF (containing cover letter and SC submission) to https://new.precisionconference.com by Jan 3rd, 2020. In addition, a letter of recommendation from your thesis or doctoral advisor should be sent separately by email to the Student Consortium co-Chairs at sc2020 at iui.acm.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From O.Inel at tudelft.nl Fri Dec 13 05:04:21 2019 From: O.Inel at tudelft.nl (Oana Inel) Date: Fri, 13 Dec 2019 10:04:21 +0000 Subject: Connectionists: ACM IUI 2020: Third Call for Demos and Posters Message-ID: <0C4E2FCE-A71D-4344-88E0-5EBD6A880558@tudelft.nl> * We apologize for cross-posting * *** ACM IUI 2020: Third Call for Demos and Posters *** Cagliari, Italy March 17-20, 2020 https://iui.acm.org/2020/call_for_demo_poster.html Important Dates: - Submission Due: Jan 3, 2020 - Notification to Authors: Jan 27, 2020 - Camera Ready Due: Feb 3, 2020 ---------------------------------------------------- ACM IUI 2020 is the 25th 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, and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. ---------------------------------------------------- Demos The demonstrations track complements the overall program of the conference. Demonstrations show implementations of novel, interesting, and important intelligent user interface concepts or systems. We invite submissions relevant to intelligent user interfaces and which address, but are not limited to, the topics of the conference. All submissions are intended to convey a scientific result or work in progress and should not be advertisements for commercial software packages. The page limit for demo papers is 2 pages (including references). Although not required, authors may submit a video along with their demo paper to showcase their work. Authors who submitted a long or short research paper are welcome to also propose a demo. Accepted demo papers will be presented as interactive demonstrations at IUI and published in the companion proceedings of the conference. Posters Posters provide an opportunity for sharing valuable last-minute ideas, eliciting useful feedback on early-stage work and fostering discussions and collaborations among colleagues. We invite submissions on all topics of the conference. All submissions should convey a scientific result or work in progress that is not yet ready to be published as a full length research paper at a refereed conference. Submitting a draft poster along with your submission is not required but recommended. The page limit for poster papers is 2 pages (including references). Accepted poster papers will appear in the companion proceedings of the conference. Submission Instructions Demo and poster submissions do not need to be anonymized. The page limit is 2 pages (including references) in 2-column portrait ACM sigconf format. Submitting a draft poster along with your poster submission is not required but recommended. Please submit your demos and posters at PCS 2.0: https://new.precisionconference.com. Demo and Poster Chairs - posters2020 at iui.acm.org Tianyi Li, Virginia Tech, USA Marco Manca, CNR-ISTI, HIIS Laboratory, Italy Sebastien Lalle, University of British Columbia, Canada From k.j.geras at nyu.edu Sun Dec 15 23:11:53 2019 From: k.j.geras at nyu.edu (Krzysztof Jerzy Geras) Date: Sun, 15 Dec 2019 20:11:53 -0800 Subject: Connectionists: Data Science Research Engineer position at the NYU School of Medicine Message-ID: The Center for Biomedical Imaging and the Center for Advanced Imaging Innovation & Research (CAI2R) at NYU Langone Health are looking for a highly motivated Research Engineer to join our interdisciplinary group and help us build data science infrastructure. The engineer will support ongoing research and development of machine learning methods for medical imaging applications, such as ML methods for accelerated MRI [1, 2, 3], breast cancer detection [4, 5, 6] and musculoskeletal [7] and brain image [8, 9, 10] analysis. Requirements include: - Passion for engineering and research. - BS in computer science, mathematics, physics, electrical engineering or a related discipline. MS or PhD is a plus. - Expert skills in Python. Skills in Tensorflow or PyTorch are a plus. - Good skills in using Linux. - Practical basic knowledge of machine learning. Advanced knowledge of machine learning is a plus. - Experience in working with medical imaging data is a plus. Responsibilities will include: - Extraction and curation of imaging data set across different applications. - Implementation of machine learning training and validation pipelines. - Implementation of baseline deep learning models. Timeline, Salary, and Benefits Please apply no later than 2/29. We expect the appointed candidate to start during the summer of 2020. The initial appointment will be for a year, with an intention to renew further, depending on mutual agreement. We offer a competitive salary and benefits package. We welcome both domestic and international applicants. To Apply Please send your application (CV and a short motivation letter) to Yvonne Lui (yvonne.lui at nyulangone.org ) and Krzysztof Geras (k.j.geras at nyu.edu). Please use the string ?[data science research engineer]? as the subject of the email. About Us The Center for Advanced Imaging Innovation & Research (CAI2R), located in midtown Manhattan, is operated by the research arm of the radiology department of NYU Langone Health. The research division comprises approximately 130 full-?time personnel dedicated to imaging research, development, and clinical translation. We are a highly collaborative group and work in interdisciplinary, matrixed teams that include engineers, scientists, clinicians, technologists, and industry experts. We encourage collaboration across research groups to promote creativity and nurture an environment conducive to breakthrough innovations at the forefront of biomedical research. To learn more about our research center, visit https://cai2r.net References [1] Learning a variational network for reconstruction of accelerated MRI data . K. Hammernik et al. MRM, 2018. [2] Assessment of the generalization of learned image reconstruction and the potential for transfer learning . F. Knoll et al. MRM, 2019. [3] fastMRI: An Open Dataset and Benchmarks for Accelerated MRI . J. Zbontar et al. 2018. [4] Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening . N. Wu et al. IEEE TMI, 2019. [5] Globally-Aware Multiple Instance Classifier for Breast Cancer Screening . Y. Shen et al. MLMI, 2019. [6] Breast density classification with deep convolutional neural networks . N. Wu et al. ICASSP, 2018. [7] Segmentation of the proximal femur from MR images using deep convolutional neural networks . C. M. Deniz et al. Scientific Reports, 2018. [8] On the design of convolutional neural networks for automatic detection of Alzheimer's disease . S. Liu et al. 2019. [9] DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation . A. Kaku et al. 2019. [10] Generalized Recurrent Neural Network accommodating Dynamic Causal Modeling for functional MRI analysis . Y. Wang et al. Neuroimage, 2018. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pfister at pyl.unibe.ch Mon Dec 16 07:52:03 2019 From: pfister at pyl.unibe.ch (Jean-Pascal Pfister) Date: Mon, 16 Dec 2019 13:52:03 +0100 Subject: Connectionists: PhD position in Bern Message-ID: <8BD46319-885B-4778-AB6E-8B9198FE33FA@pyl.unibe.ch> The Department of Physiology at the University of Bern is opening a PhD position in computational neuroscience at the interface with experimental neuroscience. The cerebral cortex endows us with the ability to perform complex cognitive and emotional processes supporting adaptive behavior. The hippocampus is a high-order cortical area instrumental for cognition and emotions. The PhD project will focus on discovering selective computations related to spatial navigation and emotional states using hippocampal neural recordings in behaving rodents. It will further develop predictive models for animal position taking into account uncertainty of hidden states such as emotions. The specificity of the project is the close interactions between theory and experiments. The candidate will have access to experimental data acquired within the research group of St?phane Ciocchi and the supervision will be shared with Jean-Pascal Pfister of the Theoretical Neuroscience Group. The candidate should hold a Master degree in Physics, Mathematics, Biology, Neuroscience, Computational Neuroscience or a related field. She/he should have keen interests in close interactions between theory and experiments. Interested candidates can send their application and inquiries via email to pfister at pyl.unibe.ch, ciocchi at pyl.unibe.ch The application should include the following in one pdf document: letter of motivation, CV, contact details of 2 references. The position is funded for a duration of three years. The PhD position shall start early in 2020. Deadline for application is the 31st of January 2020 or until the position is filled. References: Ciocchi, S., Passecker, J., Malagon-Vina, H., Mikus, N., Klausberger, T. Selective information routing by ventral hippocampal CA1 projection neurons. Science (2015). Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception. Kutschireiter A, Surace SC, Sprekeler H, Pfister JP. Sci Rep (2017). --------------------------------- Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 8057 Zurich, Switzerland and Department of Physiology University of Bern B?hlplatz 5 3012 Bern, Switzerland www.ini.uzh.ch/~jpfister Tel: ++ 41 31 631 87 78 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dimitrije.markovic at tu-dresden.de Mon Dec 16 09:25:19 2019 From: dimitrije.markovic at tu-dresden.de (Dimitrije Markovic) Date: Mon, 16 Dec 2019 14:25:19 +0000 Subject: Connectionists: Reminder: Special Entropy Issue "Information Theory in Computational Neuroscience" Message-ID: <1576506318920.79470@tu-dresden.de> Dear Colleagues, We cordially invite you to submit a manuscript for possible publication in a Special Issue on "Information Theory in Computational Neuroscience" to be published in the journal Entropy (ISSN 1099-4300, IF 2.419, http://www.mdpi.com/journal/entropy). The aim of the Special Issue is to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. You can see full details of the scope and submission details at: https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscience The submission deadline is 31 January 2020. You may send your manuscript at any time before the deadline or a bit later. Submitted papers should not be under consideration for publication elsewhere. Entropy is fully open access. Open access (unlimited and free access by readers) increases publicity and promotes more frequent citations, as indicated by several studies. Please kindly note that an Article Processing Charge (APC) of CHF 1600 currently applies to all accepted papers. Fortunately, it is noticed that your institute have already had a central open access fund established in MDPI's Institutional Open Access Program, it means you do not have to pay the publication fees and your institute will cover it for you if you submit your papers to MDPI journals (see details at: ). You may contact your library and confirm this. Please do not hesitate to come back to us if there is anything further that we can help with. We look forward to hearing from you. Kind regards, Dimitrije Markovic and Claudius Gros ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universit?t Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ ============================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From ben.torben-nielsen at roche.com Mon Dec 16 10:12:41 2019 From: ben.torben-nielsen at roche.com (Torben-Nielsen, Ben) Date: Mon, 16 Dec 2019 07:12:41 -0800 Subject: Connectionists: Deep learning for biomedical imaging internship at Roche Message-ID: Dear all, In our group, Diagnostics Information Solutions (DIS) at Roche, we have an opening for a six month internship position (located at the headquarters in Basel, Switzerland). At DIS, we primarily work on clinical decision support apps that help clinicians and hospitals in attaining better patient care. We are looking for an intern to further develop prototype clinical decision support apps for our commercial NAVIFY platform. The focus of this project is on interpretability of deep (reinforcement) learning algorithms to analyse biomedical images. Candidates *must* be enrolled in an MSc/PhD program (computer science, physics or engineering). Furthermore, candidates - have demonstrable expert skills with deep learning, preferably implemented in Pytorch - know how to run computationally demanding simulations with large amounts of data on the cloud; preferably AWS (using Docker and Kubernetes). - can wrangle data to obtain and pre-process data sets. Applications *must* include CV and a cover letter with a motivational statement. More information can be found here: http://static.uniserver.ch/roche/l/MjAxOTEyLTEzNTQyMw%3D%3D Kind regards, Ben From stefano.panzeri at gmail.com Mon Dec 16 12:27:44 2019 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Mon, 16 Dec 2019 18:27:44 +0100 Subject: Connectionists: Fully funded PhD position in neural coding at IIT - open now Message-ID: Fully funded PhD Position at IIT - Computational approaches to study the neural code for somatosensation I am are seeking candidates for a fully funded PhD position at the Italian Institute of Technology?s in my lab ( https://www.iit.it/people/stefano-panzeri ). IIT collaborates with SISSA and finances the positions at the PhD course at SISSA from the EU Marie Curie Training Network Neutouch (www.neutouch.eu). Although formally to be enrolled at SISSA, the successful candidate will conduct research in my laboratory at the IIT headquarters in Genova, Italy. The PhD project can focus on any of the research topics about somatosensory neural information processing that are of interest to the candidate, to my lab and to the Training Network (www.neutouch.eu), including: developing mathematical analysis methods and neural network models for studying neural population coding of somatosensory signals, for studying the neural bases of sensory perception and decision making, and for designing somatosensory neuro-inspired artificial sensors. The ideal candidate should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is required. However, a keen interest in understanding the brain is essential. The position is open immediately and will close when a suitable candidate is found. Interested candidates are invited to contact me informally by email (stefano.panzeri at iit.it) as soon as possible, by attaching their CV and briefly explaining their interest in this position, to initiate discussions about potential PhD projects of interest. For recent representative publications from my lab, please see: van Vugt B, et al, (2018) *Science* 360, 537-542 Zaldivar, D., et al, (2018) *Current Biology* 28: 224-235 Runyan C. A., et al (2017) *Nature*: 548: 92-96 Pica G. et al, *NIPS* (2017) Panzeri, S, et al (2017) *Neuron* 93: 491-507 Safaai, H. et al (2015) *Proc. Natl. Acad. Sci. USA* 112(41): 12834?12839 Fasoli, D. et al (2016) *PLoS Computational Biology*, 12(8): e1004992. Panzeri, S., et al (2015) *Trends in Cognitive Sciences* 19: 162-172 Einevoll, G., et al (2013) *Nature Reviews Neuroscience*, 14, 770-785 Yours truly, Stefano Panzeri stefano.panzeri at iit.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From alekhyamandali at gmail.com Tue Dec 17 02:49:02 2019 From: alekhyamandali at gmail.com (alekhya mandali) Date: Tue, 17 Dec 2019 07:49:02 +0000 Subject: Connectionists: Call for methods collection on computational Psychiatry in video journal JoVE Message-ID: Dear Connectionists We invite contributions to the methods collection in the video Journal *JoVE *on the topic Computational Psychiatry ( https://www.jove.com/methods-collections/111/computational-approaches-to-psychiatry ) ABSTRACT ------------------------------------------------------------------------------------------------------------------------------ Computational psychiatry is a rapidly growing branch in the field of psychiatry for its ability to unravel the underlying neural mechanisms governing behavior. Though computational neuroscience has been well-established and applied extensively to study various aspects of cognition and behavior, it is still emerging in the field of psychiatry. Computational approaches have provided critical insights and novel theories about neural mechanisms ranging from decision making to ocular dominance, to gait and movement in health and disease. The field of computational neuroscience is diverse with approaches ranging from abstract reinforcement learning to network-level models using differential equations, to data-driven models such as drift-diffusion models and Bayesian models. This collection invites articles where diverse computational approaches are applied to understand how neural mechanisms translate to observed clinical symptoms. The topics include, but are not limited to, impulsive-compulsive disorders, personality disorder, and schizophrenia. The methods of approach include detailed biophysical models such as Hodgkin-Huxley networks that explain the cellular level activity to abstract dynamical systems-based models that focus on high-level behavior. Studies that focus on translational research where insights gained from computational models are used to design novel treatment/ diagnostic methods are also welcome. SUBMISSION INSTRUCTIONS ------------------------------------------------------------------------------------------------------------------------- Please submit your abstract (max 300 words) by clicking the 'Submit Abstract' button in this link ( https://www.jove.com/methods-collections/111/computational-approaches-to-psychiatry ) The deadline for your abstracts is *January 15, 2020* CONTACT ------------------------------------------------------------------------------------------------------------------------ For information and queries, please contact Dr. Alekhya Mandali ( am2613 at medschl.cam.ac.uk) -- https://sites.google.com/view/alekhyamandali/home -------------- next part -------------- An HTML attachment was scrubbed... URL: From rrhh at cttc.es Tue Dec 17 08:47:48 2019 From: rrhh at cttc.es (RRHH) Date: Tue, 17 Dec 2019 14:47:48 +0100 Subject: Connectionists: Researcher positions in the Communication Technologies Division & Geomatics Division In-Reply-To: References: Message-ID: <99dc50cb-232c-8c78-4450-387670de50a2@cttc.es> Dear @ll, This is to inform you the offer of a *Researcher positions in the Communication Technologies Division? & Geomatics Division.* http://www.cttc.es/career-category/jobs-open/ Thanks for forwarding this information to any potentially interested candidates. ** Laura Casaus CTTC Av. Carl Friedrich Gauss 7, B-4 08860 Castelldefels Tel.: +34 93 645 29 00 rrhh at cttc.cat www.cttc.cat Logo HR _DATA PROTECTION INFORMATION. Data controller: CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA (G62616586):_ We inform you that your identification data and the data contained in the emails and attached files can be incorporated into our databases, in order to maintain professional and / or commercial relationships, and that it will be preserved throughout the relationship. According to the current regulations, you can exercise your right to access, rectification, erasure, restriction of processing, to portability and to object by sending an email to dpo at cttc.cat. This message and any attached document, where appropriate, may be confidential and intended for the original recipient only. Before printing this e-mail or attachments, be sure it is necessary. It is in our hands to protect the environment. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: logohr.jpg Type: image/jpeg Size: 5873 bytes Desc: not available URL: From samuel.kaski at aalto.fi Tue Dec 17 12:20:39 2019 From: samuel.kaski at aalto.fi (Kaski Samuel) Date: Tue, 17 Dec 2019 17:20:39 +0000 Subject: Connectionists: Finnish Center for Artificial Intelligence FCAI is looking for excellent researchers to develop AI that is data-efficient, trustworthy, and understandable (Helsinki, Finland) Message-ID: Looking for an excellent postdoc or research fellow position in machine learning / AI? The newly launched Finnish Center for Artificial Intelligence FCAI (https://fcai.fi) is looking for postdoctoral researchers and research fellows interested in tackling challenges in machine learning and in creating artificial intelligence that is data-efficient, trustworthy, and understandable. FCAI is built on the long tradition and track record of decades of pioneering machine learning research in Helsinki. It was recently selected to host one of the first ELLIS (European Laboratory for Learning and Intelligent Systems) units that assemble European top talent in machine learning. With a total budget of ?250M over the next 8 years, FCAI is opening a range of research positions for academics and ICT professionals in different levels of their careers. The deadline for applications is January 27th, 2020. Please see https://fcai.fi/postdocs for more information. Website: fcai.fi Twitter: twitter.com/fcai_fi LinkedIn: linkedin.com/company/fcai/ From Franz.Knappik at uib.no Wed Dec 18 02:12:21 2019 From: Franz.Knappik at uib.no (Franz Ulrich Knappik) Date: Wed, 18 Dec 2019 07:12:21 +0000 Subject: Connectionists: =?windows-1252?q?Reminder=3A_CfP_=93The_Phenomeno?= =?windows-1252?q?logy_of_Joint_Action=2E_Structure=2C_Mechanisms=2C_and_F?= =?windows-1252?q?unctions=94=2C_SI_Philosophical_Psychology_=28deadline_f?= =?windows-1252?q?or_abstracts_Jan_31=2C_2020=29?= In-Reply-To: References: Message-ID: <69c15587d36d4a208ad24fa19296d9a6@uib.no> Call for papers (deadline for abstracts January 31st, 2020) Special Issue of "Philosophical Psychology": ?The Phenomenology of Joint Action. Structure, Mechanisms, and Functions? Guest editors: Franz Knappik & Nivedita Gangopadhyay (University of Bergen) Philosophers, psychologists and neuroscientists have extensively studied the ?sense of agency? and other aspects of the phenomenology of individual action. Joint action has been the topic of much work in these disciplines, too, but that work has focused on issues about the structure, ontogenesis and neurophysiology of joint action. The phenomenology of joint action has only recently become a topic of contemporary debate in philosophy and other cognitive sciences. It is the aim of this special issue to promote this emerging interest in the phenomenology of joint action, and to provide an interdisciplinary forum for discussing questions about the structure, mechanisms and functions of our experience of joint action. We invite contributions from all relevant fields, including analytic philosophy, phenomenology, theoretical and experimental psychology and neuroscience. Empirical researchers who reflect upon their work from a theoretical/philosophical perspective, and theoretical psychologists and neuroscientists casting a perspective on the empirical literature, are particularly encouraged to submit. Questions to be addressed in the special issue include the following: ? Does the phenomenology of joint action include the same elements as the phenomenology of individual action, or are there differences? ? Are the phenomenal features of joint action distinctly intersubjective, and if so, what makes this the case? ? What cognitive and neural mechanisms underlie the phenomenology of joint action, and what factors modulate that phenomenology? ? Does the experience of joint action display effects of intentional binding? ? What are the functions of our experience of joint action with regard to factors like ontogenesis of joint action capacities; the coordination, monitoring and control of joint action; first-personal knowledge about joint action; and our practices of holding agents responsible for their actions? ? What can we learn about the phenomenology of joint action and its functions by exploring cases of conflict and breakdown (e.g. misunderstandings, relevant psychopathological conditions), large-scale and complex cases of joint actions, cases with a particularly strong and complex phenomenology (e.g. dance, theatre, music, cult actions, group therapy, and social-political activism), and human-machine interaction? Important dates: January 31, 2020: deadline for abstracts (ca. 500 words), to be sent to the guest editors at franz.knappik at uib.no and nivedita.gangopadhyay at gmail.com, with ?Abstract Special Issue PhilPsych? as subject. February 15, 2020: notification about whether the planned paper is suitable for submission. July 31, 2020: deadline for submission of papers (max. 10.000 words) for double blind peer review at https://mc.manuscriptcentral.com/cphp. For more information, including a bibliography and a more detailed description of the topics and questions to be addressed in submissions, please consult the extended version of this Call for Papers at https://think.taylorandfrancis.com/philosophical-psychology-phenomenology-joint-action/. ============= Franz Knappik Professor Department of Philosophy, University of Bergen Room 216B, Sydnesplassen 12/13, 5020 Bergen, Norway Homepage: www.uib.no/en/persons/Franz.Knappik From Donald.Adjeroh at mail.wvu.edu Tue Dec 17 22:22:06 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 18 Dec 2019 03:22:06 +0000 Subject: Connectionists: Call for Papers: SBP-BRiMS'2020 -- Social Computing, Behavior/Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2020 2020 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 14-17, 2020, Lehman Auditorium, George Washington University, Washington DC, USA http://sbp-brims.org/ #sbpbrims SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. IMPORTANT DATES: Regular Paper Submission: 21-February-2020 (Midnight EST) Author Notification: 16-March-2020 Final Version Submission for Regular Papers: 03-April-2020 Working Papers, Doctoral Consortium, Tutorial, Demo, and Challenge Submission*: 15-May-2020 Submit your paper here (will be available in January). Until the final paper deadline, you will be able to update your submission. Note, all papers undergo a rigorous peer review process for presentation in the plenary, regular, or poster sessions. All papers accepted to the plenary sessions will be published in the archival proceedings - the Springer LNCS volume. Regular papers will be evaluated for either the archival or online proceedings. The remaining tracks will be published online for 1 year on our non-archival conference website. Each accepted paper requires confirmation of conference registration and requires a separate registration. PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. SPECIAL VALIDATION TRACK: This year we are soliciting papers for a special workshop on validation to be held during the conference. When submitting your paper in EasyChair please whether you want to be considered for this track. CHALLENGE PROBLEM: The conference expects to announce a computational challenge as in previous years. Additional details will be posted in December. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). TRAVEL SCHOLARSHIPS: It is anticipated that a limited number of travel scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. TOPICS: Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interests include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and/or evolution * Collective action and governance * Cultural patterns & representation * Social conventions, social contexts and processes * Influence process and recognition * Public opinion representation, identification and modeling * Information diffusion * Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes over time * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation Follow us on Facebook, Twitter and LinkedIn to receive updates. Download: Download Call for Papers in PDF format here. Conference website: http://sbp-brims.org/ * Late breaking and short papers are now referred to as working papers. -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at aalto.fi Tue Dec 17 12:26:33 2019 From: samuel.kaski at aalto.fi (Kaski Samuel) Date: Tue, 17 Dec 2019 17:26:33 +0000 Subject: Connectionists: Finnish Center for Artificial Intelligence FCAI is looking for PhD students (Helsinki, Finland) Message-ID: <81B3F488-7350-48E9-BFC2-D349BA55DC99@aalto.fi> Looking for an excellent funded PhD student position in machine learning / AI? The newly launched Finnish Center for Artificial Intelligence FCAI (https://fcai.fi) has open PhD student positions. FCAI is built on the long tradition and track record of decades of pioneering machine learning research in Helsinki. It was recently selected to host one of the first ELLIS (European Laboratory for Learning and Intelligent Systems) units that assemble European top talent in machine learning. With a total budget of ?250M over the next 8 years, FCAI is opening a range of research positions for academics and ICT professionals in different levels of their careers. The deadline for applications is January 27th, 2020. Please see the relevant topics at http://www.hict.fi/spring2020 for more information. Website: fcai.fi Twitter: twitter.com/fcai_fi LinkedIn: linkedin.com/company/fcai/ From smart at neuralcorrelate.com Tue Dec 17 14:34:12 2019 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Tue, 17 Dec 2019 14:34:12 -0500 Subject: Connectionists: Congratulations to the Winners of the 2019 Best Illusion of the Year Contest! In-Reply-To: <041301d5b510$9436ef30$bca4cd90$@neuralcorrelate.com> References: <03c001d5b50e$786237d0$6926a770$@neuralcorrelate.com> <041301d5b510$9436ef30$bca4cd90$@neuralcorrelate.com> Message-ID: <044901d5b510$f8d572e0$ea8058a0$@neuralcorrelate.com> Voters around the globe chose the Best Illusions of the Year from the Top 10 Finalists competing in the 15th edition of Best Illusion of the Year Contest (hosted by the Neural Correlate Society and supported by the Museum of Mind). The TOP 3 winning illusions were revealed on Friday, December 13th. First Prize and a $3,000 award went to Frank Force, USA, for his "Dual Axis Illusion," in which a spinning shape appears to defy logic by rotating around both the horizontal and vertical axis. Second Prize and a $2,000 award went to Haruaki Fukuda, Japan, for his "Change the Color" illusion, in which scrolling dots change their apparent color depending on how viewers interpret their motion. Third Prize and a $1,000 award went to Ryan E.B. Mruczek and Gideon Paul Caplovitz, USA, for their "Rotating Circles Illusion," in which a rotating circle appears to change its trajectory depending on the visual context. If you enjoyed the spectacular illusions that competed in 2019, please make an end-of-year tax-deductible donation to the Best Illusion of the year Contest. We rely on your help to continue to share the wonders of illusion with people of all ages and backgrounds, all over the world. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience 2014 Society for Neuroscience's Science Educator Award 2014 Empire Innovator Scholar State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From ohad.kammar at gmail.com Wed Dec 18 18:55:00 2019 From: ohad.kammar at gmail.com (Ohad Kammar) Date: Wed, 18 Dec 2019 23:55:00 +0000 Subject: Connectionists: [CFP] LAFI 2020: Languages for Inference --- Call-for-Participation Message-ID: tl;dr: * List of talks and abstracts is out. * Early registration deadline is Wednesday 18 Dec (AoE, TODAY). LAFI 2020: Languages for Inference (formerly PPS) ================================================ Tuesday, 21 January 2020, New Orleans, Louisiana, US A workshop affiliated with POPL 2020 https://popl20.sigplan.org/home/lafi-2020 Important dates (anywhere on earth) ------------------------------------------------- Early registration deadline Wed 18 Dec 2019 (TODAY) Workshop Tue 21 Jan 2020 ------------------------------------------------- Registration: https://popl20.sigplan.org/attending/Registration Invited speaker: Fritz Obermeyer, Uber AI Labs Nonstandard Interpretation in Pyro https://popl20.sigplan.org/details/lafi-2020/1/Invited-talk-Nonstandard-Interpretation-in-Pyro Accepted talks: https://popl20.sigplan.org/home/lafi-2020#event-overview Context ======= Inference concerns re-calibrating program parameters based on observed data, and has gained wide traction in machine learning and data science. Inference can be driven by probabilistic analysis and simulation, and through back-propagation and differentiation. Languages for inference offer built-in support for expressing probabilistic models and inference methods as programs, to ease reasoning, use, and reuse. The recent rise of practical implementations as well as research activity in inference-based programming has renewed the need for semantics to help us share insights and innovations. This workshop aims to bring programming-language and machine-learning researchers together to advance all aspects of languages for inference. Topics include but are not limited to: + design of programming languages for inference and/or differentiable programming; + inference algorithms for probabilistic programming languages, including ones that incorporate automatic differentiation; + automatic differentiation algorithms for differentiable programming languages; + probabilistic generative modelling and inference; + variational and differential modelling and inference; + semantics (axiomatic, operational, denotational, games, etc) and types for inference and/or differentiable programming; + efficient and correct implementation; + and last but not least, applications of inference and/or differentiable programming. For a sense of the talks, posters, and blogs in past years, see + LAFI-2019: https://popl20.sigplan.org/track/lafi-2019 + PPS-2018: http://conf.researchr.org/track/POPL-2018/pps-2018 blog: http://pps2018.soic.indiana.edu/ + PPS-2017: http://conf.researchr.org/track/POPL-2017/pps-2017 blog: http://pps2017.soic.indiana.edu/) + PPS-2016: http://conf.researchr.org/track/POPL-2016/pps-2016 blog: http://pps2016.soic.indiana.edu/) Last year we explicitly expanded the focus of the workshop from statistical probabilistic programming to encompass differentiable programming for statistical machine learning. This change seemed well-received by the community, and we continue it this year in an effort to extend the strong ties between programming language-based machine learning and the POPL community. We expect this workshop to be informal, and our goal is to foster collaboration and establish common ground involving ongoing work on probabilistic and differentiable programming languages, semantics, and systems. Programme committee: Justin Hsu, University of Wisconsin-Madison, USA Ohad Kammar (co-chair) University of Edinburgh, UK (co-chair) Jerzy Karczmarczuk France Marie Kerjean Inria Nantes, France Dougal Maclaurin (co-chair) Google Brain, USA (co-chair) Barak A. Pearlmutter Maynooth University, Ireland David Tolpin PUB+, Israel Andrea Walther Humboldt-Universit?t zu Berlin, Germany Richard Wei Apple Inc., USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From rrhh at cttc.es Wed Dec 18 10:57:25 2019 From: rrhh at cttc.es (RRHH) Date: Wed, 18 Dec 2019 16:57:25 +0100 Subject: Connectionists: =?utf-8?q?Early_Stage_Research_Positions_at_the_C?= =?utf-8?q?ommunication_Technologies_Division_=E2=80=93_SMARTECH_Departmen?= =?utf-8?q?t=2E?= In-Reply-To: <99dc50cb-232c-8c78-4450-387670de50a2@cttc.es> References: <99dc50cb-232c-8c78-4450-387670de50a2@cttc.es> Message-ID: <011918b9-a127-477e-d4e7-37357dc66e3f@cttc.es> Dear @ll, This is to inform you the offer of two*Early Stage Research Positions at the Communication Technologies Division ? SMARTECH Department.* http://www.cttc.es/career-category/job-openings/ Thanks for forwarding this information to any potentially interested candidates. Laura Casaus CTTC Av. Carl Friedrich Gauss 7, B-4 08860 Castelldefels Tel.: +34 93 645 29 00 rrhh at cttc.cat www.cttc.cat _DATA PROTECTION INFORMATION. Data controller: CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA (G62616586):_ We inform you that your identification data and the data contained in the emails and attached files can be incorporated into our databases, in order to maintain professional and / or commercial relationships, and that it will be preserved throughout the relationship. According to the current regulations, you can exercise your right to access, rectification, erasure, restriction of processing, to portability and to object by sending an email to dpo at cttc.cat. This message and any attached document, where appropriate, may be confidential and intended for the original recipient only. Before printing this e-mail or attachments, be sure it is necessary. It is in our hands to protect the environment. -- -------------- next part -------------- An HTML attachment was scrubbed... URL: From max.garagnani at gmail.com Wed Dec 18 12:57:15 2019 From: max.garagnani at gmail.com (Max Garagnani) Date: Wed, 18 Dec 2019 18:57:15 +0100 Subject: Connectionists: MSc in Computational Cognitive Neuroscience :: ** Part-time option & links with industry ** Message-ID: <9D46BDD2-671C-48F0-9721-F11986E3A814@campus.goldsmiths.ac.uk> ******************************************************************************** The MSc in Computational Cognitive Neuroscience programme at Goldsmiths, University of London (UK) is now accepting application for 2020-21 entry. ** PART-TIME OPTION NOW OPEN **?? =============================== We are delighted to announce that, by popular demand, it is now possible to take this course also as part-time studies. This cutting-edge Masters degree, a combined effort of the Computing and Psychology Departments, builds on the multi-disciplinary and strong research profiles of our staff. It equips students with a solid theoretical basis and knowledge of experimental methods in computational cognitive neuroscience, providing them also with the opportunity to apply their newly acquired knowledge in a practical research project, which may be carried out in collaboration with one of our industry partners. Applications for the 2020-21 Academic Year are now open. To submit an online application (free of charge), just click on the link below and follow the instructions: https://bit.ly/2Fi86SB NOTE: places on this course are limited and allocated on a first-come, first-served basis. Apply now to avoid disappointment later. COURSE OUTLINE: =============== This is a one-year full-time / two-years part-time MSc degree programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). It is designed for students with a good degree in the biological / life (psychology, neuroscience, biology, medicine, etc.) or physical (computer science, mathematics, physics, engineering) sciences, however, individuals with different backgrounds but commensurate experience will also be considered. The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out ?in house? or in collaboration with an external partner, either from academia or industry. * LINKS WITH INDUSTRY * ===================== The programme has recently acquired an Industry Advisory Panel, consisting of representatives from 6 different international companies with headquarters in UK, Germany, Italy, USA and Japan. Carrying out your final project in collaboration with one of our industry partners will enable you to acquire modern technical skills that are much in demand, paving the way for employment opportunities and making you particularly competitive on the job market. For any further information, including funding opportunities and tuition fees, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ https://www.gold.ac.uk/pg/fees-funding/ For any other specific questions, please do not hesitate to get in touch. Dr. Max Garagnani Dr. Maria Herrojo Ruiz -- Joint Programme Leaders, MSc in Computational Cognitive Neuroscience Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW, UK Tel. +44 (0)20 7919 7850 Fax: +44 (0)20 7919 7853 https://www.gold.ac.uk/computing/people/garagnani-max/ https://www.gold.ac.uk/psychology/staff/herrojo-ruiz-maria/ Follow this Masters on Twitter: https://twitter.com/coconeuro_gold ******************************************************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefanm at alleninstitute.org Wed Dec 18 18:53:24 2019 From: stefanm at alleninstitute.org (Stefan Mihalas) Date: Wed, 18 Dec 2019 23:53:24 +0000 Subject: Connectionists: =?windows-1252?q?Scientist_I_=96_Neural_Connectiv?= =?windows-1252?q?ity_and_Consciousness?= Message-ID: Scientist I ? Neural Connectivity and Consciousness The Allen Institute for Brain Science is looking to add a Scientist I to our Modeling & Theory team. This scientist will work under the supervision of Stefan Mihalas and will be part of a larger team led by Christof Koch which includes both experimental, theoretical and modeling work aimed at measuring the neural correlates of consciousness. The mouse brain has an intricate anatomical connectivity, which we have mapped in detail ( http://connectivity.brain-map.org/ ). Connectivity patterns have important consequences for synchronization between areas. Specifically, a small number of strong, long range connections can shift the synchronization from local to global. Additionally, in the cortex we have characterized multiple types of inter-areal connections. How does this observed structure support conscious perception? More specifically, what elements of network connectivity are important to generate activity which is sufficiently complex and integrated to support consciousness? We seek to hire a scientist to help us make progress towards answering this question. Position Summary The Scientist will work on coarse-grained models of cortical networks aiming to understand how the structure of inter-areal connections influences the complexity of the activity simulated on such networks and the synchronization between different nodes, and if any features of the observed mesoscopic connectivity are particularly important. We use mouse as a model system and this position will focus on using coupled oscillator models with multiple types of long-range interactions and population statistics models and simulation tools (http://alleninstitute.github.io/dipde/). More specifically, the scientist will work to: (i) Simulate coupled oscillator models parameterized by mesoscopic connectivity measurements and analyze the complexity of localized perturbations to the model (?Zap and Zip?). (ii) Simulate the cortical activity using population statistic methods and simplified area models. (iii) Analyze the importance of both the strength and type of connections between areas to these results, and the importance of specific nodes (for example claustrum). While modeling work is essential for this position, the capacity of the applicant to work in parallel on theoretical understanding of the obtained results is highly desired. Job Responsibilities ? Simulate cortical networks parameterized from experimental data coupled oscillator models as well as population statistics model. ? Analyze how different measures of activity (e.g. the complexity of perturbations, the relation between local and long-range correlations, and other measures of activity shown to be relevant for consciousness) relate to graph theoretical measures based on strength of connections, and multigraph measures relating to types of connections. ? Compare the results of the simulations with theoretical models with a focus on integrated information theory (IIT). ? Interact and collaborate with experimental and computational team members that are investigating complementary aspects of the neuronal correlates of consciousness. ? Maintain clear and accurate communication with supervisor and team members. ? Publish/present findings in peer-reviewed journals/scientific conferences. Required Qualifications ? PhD degree in computational neuroscience, physics, mathematics, applied mathematics or related field. ? Strong background in scientific computing. ? Strong publication record. ? Experience in pursuing research projects in collaborative fashion. ? Proven independent thinking and flexibility. ? Strong written and verbal communication skills. Preferred Qualifications ? Experience in computational neuroscience is preferred. ? Ability to meet aggressive timelines and deliverables in a collaborative environment It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities. Stefan Mihalas Associate Investigator Allen Institute for Brain Science www.alleninstitute.org Affiliate Professor Department of Applied Mathematics University of Washington -------------- next part -------------- An HTML attachment was scrubbed... URL: From carlo.colombo at unifi.it Thu Dec 19 04:52:05 2019 From: carlo.colombo at unifi.it (Carlo Colombo) Date: Thu, 19 Dec 2019 10:52:05 +0100 Subject: Connectionists: ECCV 2020 Glasgow Call for TUTORIALS - deadline Jan 10, 2020 Message-ID: <850e10cc-9f43-854d-bc78-0a3006484e59@unifi.it> *************************************************** ???????? ECCV 2020 CALL FOR TUTORIALS ??????? Apologies for multiple posting ?Please distribute this call to interested parties *************************************************** The ECCV 2020 (Glasgow) organizers are pleased to invite proposals for Tutorials. The key dates are: ?Tutorials: August 23 and 28, 2020 ? *? Proposal Submission Deadline: January 10, 2020 ? *? Decisions to Organizers: February 10, 2020 More details about tutorials, and how to submit proposals can be found on the ECCV 2020 web site at: https://eccv2020.eu/wp-content/uploads/2019/10/ECCV-2020-Call-for-Tutorials.pdf and https://eccv2020.eu/workshops-and-tutorials/ If you have questions, contact eccv20tutorial at eccv2020.eu Best wishes, TUTORIALS CHAIRS Carlo Colombo, University of Florence, Italy Sotirios Tsaftaris, University of Edinburgh, UK -- Prof. Carlo Colombo Computational Vision Group DINFO - Dipartimento di Ingegneria dell'Informazione University of Florence Via S. Marta 3, 50139 Florence, Italy Office: +39-055-2758528 Mobile: +39-329-5603192 CVG Lab: +39-055-2758509 Fax: +39-055-2758570 Skype: colomboDSI E-mail:carlo.colombo at unifi.it Web:http://www.dsi.unifi.it/colombo CVG:http://cvg.dsi.unifi.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Thu Dec 19 08:16:55 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Thu, 19 Dec 2019 14:16:55 +0100 Subject: Connectionists: Fw: Master's thesis in the CoDaG research group, University of Caen, France References: Message-ID: An HTML attachment was scrubbed... URL: From sprachli at linglit.tu-darmstadt.de Thu Dec 19 05:50:29 2019 From: sprachli at linglit.tu-darmstadt.de (Mantwill / Dimitrova) Date: Thu, 19 Dec 2019 11:50:29 +0100 Subject: Connectionists: Job offer for a Research Associate Message-ID: <019301d5b65a$21513660$63f3a320$@linglit.tu-darmstadt.de> The Department of History and Social Sciences (Institute for Linguistics and Literature) at the Technische Universit?t Darmstadt offers a position as a Research Associate (m/f/d) ? 100% at the Laboratory for Empirical Reception Research (LitLab - Prof. Dr. Thomas Weitin) for a fixed term of three years. Qualifications ? You have a Master?s degree / doctorate in empirical literature, empirical aesthetics, experimental linguistics or cognitive psychology ? You have experience in laboratory research, ideally with a setup of eye tracking and peripheral physiology ? You enjoy working in a research team ? You are highly interested in interdisciplinary research questions ? You have a very good command of both German and English Main Responsibilities ? Experimental research in the field of Digital Literary Studies with a focus on reading research and empirical text analysis ? Development and implementation of your own research project ? Management of the laboratory ? Participation in the preparation of a large-scale project on attention research ? Support in administrative tasks within the empirical projects of the department We offer ? Wide variety of work ? Support in the development and implementation of your own research profile in connection with the research tasks you have worked on ? An interdisciplinary environment and opportunities for exchange ? Participation in national and international conferences Opportunity for further qualification is given. The fulfilment of the duties likewise enables the scientific qualifications of the candidate. The Technische Universit?t Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications, applicants with a degree of disability of at least 50 or equal will be given preference. If you have any questions relating to contents, please contact Prof. Dr. Thomas Weitin: weitin at linglit.tu-darmstadt.de. Please send your application with the usual documents in form of a pdf file (maximum 50 MB) with the identification number by 15.02.2020 to sprachli at linglit.tu-darmstadt.de. Code. No. 761 Published on 19. December 2019 Application deadline: 15. February 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From taislee at andrew.cmu.edu Thu Dec 19 09:03:02 2019 From: taislee at andrew.cmu.edu (Tai-Sing Lee) Date: Thu, 19 Dec 2019 09:03:02 -0500 Subject: Connectionists: Carnegie Mellon - University of Pittsburgh Joint Summer Undergraduate Program in Computational Neuroscience Message-ID: <8DDD8440-A902-4CE3-9526-BA3A7924CBEC@andrew.cmu.edu> Please encourage computationally-oriented undergraduates to apply to the Summer 2020 undergraduate program in computational neuroscience (uPNC) in Pittsburgh! Undergraduates interested in receiving research training in computational neuroscience are encouraged to apply to an NIH-sponsored summer program at the Center for the Neural Basis of Cognition (CNBC) in Pittsburgh, PA. The CNBC is a joint interdisciplinary program of Carnegie Mellon University and the University of Pittsburgh. Starting in late May or early June each year, a select group of talented undergraduates will embark on a 10-week residential program that provides intensive, mentored research experiences in computational and theoretical neuroscience. Admitted students will receive a stipend and university dormitory housing. The core of the program is the opportunity to carry out an individual mentored research project working closely with a faculty mentor. Other aspects of the scientific program include faculty research talks, student presentations and discussion of articles from the scientific literature, presentations on career options and scientific ethics, and a concluding symposium in which students present their research. This program is intended for students who wish to pursue a Ph.D. after graduation. Any undergraduate may apply, but we are especially interested in attracting students with strong quantitative backgrounds. Many of our trainees are from colleges and universities that do not have extensive research programs, but all must be United States citizens or permanent residents, must be enrolled at a 4-year accredited institution, and must be in their sophomore or junior year at the time of application. CNBC is dedicated to creating an inclusive and welcoming environment for all students and we encourage applications from women, under-represented minorities, and individuals with disabilities. Additional information and the application can be found here . A showcase of past years? undergraduate research and program schedules is available: summer uPNC 2019 , summer uPNC 2018 , summer uPNC 2017 mentored research is also available. Please contact Dr. Linda Moya (lhmoya at cmu.edu ) for further questions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marieke.scholvinck at esi-frankfurt.de Thu Dec 19 08:33:29 2019 From: marieke.scholvinck at esi-frankfurt.de (Scholvinck, Marieke) Date: Thu, 19 Dec 2019 13:33:29 +0000 Subject: Connectionists: PhD position in mouse/monkey electrophysiology at Ernst Strungmann Institute (Frankfurt, Germany) Message-ID: <81df29e22af4482fba5501d8ea10818d@esi-frankfurt.de> We are hiring! We are looking for an enthusiastic Ph.D. candidate to join our team in the Zero-Noise Lab at the Ernst Str?ngmann Institute for Neuroscience in Frankfurt, Germany. The position The Zero-Noise Lab investigates how neuronal activity unfolds during natural behaviour rather than in the restricted conditions of most laboratory experiments, and how this compares between mouse and monkey. To this end, we implant electrodes to record neuronal activity in multiple visual brain areas as our animals move through a realistic virtual reality environment in search of virtual rewards. More information about the lab can be found at https://www.esi-frankfurt.de/research/havenith-scholvinck-lab/. ??? The lab is jointly headed by Marieke Sch?lvinck and Martha Nari Havenith. Postdocs and Ph.D. students focus on either mice or monkeys, but intensely work together to ensure that we constantly learn from each other's experiments. This means that as a Ph.D. student you will work together closely with a postdoc to set up and run the experiments. Ideally, we would like you to start in spring 2020, but later would also work. We are most urgently looking for a Ph.D. student for the monkey experiments. The appointment is for three years initially, with the possibility of extension by another two years; the salary is in accordance with the regulations for academic personnel. ? You If you (are about to) hold an M.Sc. or equivalent, and are excited to work in an interdisciplinary lab with multiple model species, we would love to hear from you! Additional skills that are not a must, but would be very valuable: - programming skills (Matlab and/or Python) - experience with training animals - experience with electrophysiology How to apply If you're interested, please send an email to Marieke (marieke.scholvinck at esi-frankfurt.de) and Martha (marthanari.havenith at gmail.com) before February 15, 2020. In your email, please explain your background and why you want to join us in Frankfurt. The application remains open until the position is filled. We look forward to hearing from you! Martha and Marieke -------------- next part -------------- An HTML attachment was scrubbed... URL: From gpipa at uos.de Fri Dec 20 07:59:37 2019 From: gpipa at uos.de (Prof. Dr. Gordon Pipa) Date: Fri, 20 Dec 2019 13:59:37 +0100 Subject: Connectionists: PhD position in Neuroinformatics / Machine learning or theoretical Neuroscience Message-ID: <01ff01d5b735$5616eb70$0244c250$@uos.de> Looking for an PhD position in Neuroinformatics / Machine learning or theoretical Neuroscience ? The Neuroinformatics Lab (Prof. Pipa, Osnabr?ck, Germany) is looking for Phd students to tackle challenges in machine learning or neuroinspired computing. The aim is to understand or build artificial intelligence or computing elements. The lab has several branches with a focus ranging from mathematical modelling of complex systems, the simulation based larger recurrent network, to deep and reinforcement learning. The group has been recently growing a lot giving you the opportunity to work in a fantastic environment with a majority of international students. You can find more information here. https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote-d etail/313-fb-8-research-assistant-mfd/ Feel free to contact us in case you are interested. webpage: http://www.ni.uos.de The deadline for applications is January 12th, 2020. ---------------------------------------------------------------------------- -------------- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 50/218 University of Osnabrueck Wachsbleiche 27, 49090 Osnabr?ck, Germany tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act linkedin: https://de.linkedin.com/in/gordon-pipa-47771539 Personal Assistent and Secretary of the Neuroinformatic lab: AnnaJungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges at uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS -------------- next part -------------- An HTML attachment was scrubbed... URL: From rufin.vogels at kuleuven.be Thu Dec 19 10:41:32 2019 From: rufin.vogels at kuleuven.be (Rufin Vogels) Date: Thu, 19 Dec 2019 15:41:32 +0000 Subject: Connectionists: ph.d. position at KULeuven Message-ID: The Laboratorium voor Neuro-en Psychofysiologie of the Division of Neurophysiology at KULeuven, Leuven, Belgium, has an open ph.d. position, funded for 4 years. The work involves monkey fMRI and single unit recordings in temporal visual cortex of trained, awake behaving monkeys, studying the neural processes underlying face and body perception. The candidate should have programming skills, including knowledge of MATLAB, and experience in analyzing fMRI data (e.g. SPM). Spoken and written English skills should be excellent. When interested, contact Rufin.Vogels at kuleuven.be. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcello.pelillo at gmail.com Thu Dec 19 11:06:46 2019 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Thu, 19 Dec 2019 17:06:46 +0100 Subject: Connectionists: Two postdoctoral positions at the University of Venice, Italy Message-ID: Two postdoctoral positions are available in the Artificial Intelligence Unit of the European Centre for Living Technology @ Ca? Foscari University of Venice , Italy. *1. Machine learning methods for knowledge graph exploration**.* The focus is the development of advanced machine learning techniques based on the use of knowledge graphs in order to automatically select and/or generate personalized content to cultural heritage users. The work will be done within the EU-funded project MEMEX: MEMories and EXperiences for inclusive digital storytelling. *2. Countering evasion attacks in adversarial machine learning.* The focus is the development of unsupervised and semi-supervised machine learning models based on game theory and related approaches to counter evasion attacks, namely attacks that manipulate input data to evade a trained classifier at test time. The work will be done within the MIUR-funded project REXlearn: Reliable and Explainable Adversarial Machine Learning. *Link:* https://www.unive.it/data/28825/ *Deadline: *January 13, 2020 The initial appointments will be for one year, renewable on a yearly basis. The projects offer competitive salaries and the opportunity to work closely with high-profile members of the project consortia across Europe in the heart of one of the world's most fascinating cities. Candidates should possess a Ph.D. degree in Computer Science or related disciplines. In addition, they should have a good background in machine learning, and solid programming skills. They must have the ability to work independently and with an interdisciplinary team. For more information about these positions, please contact: pelillo at unive.it -- Marcello Pelillo, *FIEEE, FIAPR* Professor of Computer Science Ca' Foscari University of Venice, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From jpezaris at gmail.com Thu Dec 19 11:06:12 2019 From: jpezaris at gmail.com (John Pezaris) Date: Thu, 19 Dec 2019 11:06:12 -0500 Subject: Connectionists: AREADNE 2020 1st Call for Abstracts Message-ID: AREADNE 2020 Research in Encoding and Decoding of Neural Ensembles Nomikos Conference Centre, Santorini, Greece 16-20 June 2020 http://areadne.org info at areadne.org Dear Colleague, We are pleased to announce solicitation of abstracts for poster presentation at AREADNE 2020, 16-20 June 2020, our eighth meeting to be held at the Nomikos Conference Centre in Santorini, Greece. Continuing with the same highly successful format, AREADNE 2020 will bring scientific leaders from around the world to present their theoretical and experimental work on the functioning of neuronal ensembles. The meeting will provide an informal yet spectacular setting in which attendees can discuss their recent ideas and discoveries, with a relaxed pace that emphasizes interaction. Please see the Call for Abstracts for additional details, including links for templates, at http://areadne.org/call-for-abstracts Submissions of abstracts for poster presentations are due by 24 Jan 2020; notifications will be provided by 21 Feb 2020. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page http://areadne.org or send email to us at info at areadne.org . We hope to see you at AREADNE 2020, Nicholas Hatsopoulos & John Pezaris AREADNE 2020 Co-Chairs --- John S. Pezaris, Ph.D. AREADNE 2020 Co-Chair Harvard Medical School Massachusetts General Hospital 55 Fruit Street Boston, MA 02114, USA john at areadne.org From annalisa.riccardi at strath.ac.uk Thu Dec 19 11:55:49 2019 From: annalisa.riccardi at strath.ac.uk (Annalisa Riccardi) Date: Thu, 19 Dec 2019 16:55:49 +0000 Subject: Connectionists: Call for papers: Special Session on Intelligent Control @ WCCI2020 Message-ID: Dear Colleague, (with apologies if you receive multiple copies) We invite you to submit your research on Intelligent Control (Methods and Applications) to our special session @WCCI2020. We would be grateful if you can forward this mail to colleagues and potential contributors. IEEE World Congress on Computational Intelligence 2020 in Glasgow, Scotland, United Kingdom 19-24 July 2020 Special session chairs: Riccardi A., Minisci E. Website Link: http://icelab.uk/news-events/ssic_at_wcci2020/ Important Dates 15th of January 2020: deadline for paper submission 15th of March 2020: notification of acceptance 15th of April 2020: final paper submission Topics: authors are invited to submit papers on one or more of the following topics (include but not limited to): * Learning and adaptive control * Optimal control * Robust control systems * Autonomous systems * Fuzzy logic control systems * Neural control systems * Evolutionary control systems * Knowledge based systems * Fault detection isolation and recovery * Real time control * On board control * Control under uncertainty * Hybrid intelligent control methods * Applications and benchmarks of intelligent control Best regards, Dr Annalisa Riccardi, ICE Lab, Aerospace Centre of Excellence, University of Strathclyde (Glasgow, UK) Dr Edmondo Minisci, ICE Lab, Aerospace Centre of Excellence, University of Strathclyde (Glasgow, UK) -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Fri Dec 20 12:24:28 2019 From: terry at salk.edu (Terry Sejnowski) Date: Fri, 20 Dec 2019 09:24:28 -0800 Subject: Connectionists: 2019 Misha Mahowald Prize for Neuromorphic Engineering In-Reply-To: Message-ID: Winner of the 2019 Misha Mahowald Prize for Neuromorphic Engineering The pioneering space imaging project Astrosite of The Western Sydney University research team is the 2019 winner of the prestigious Misha Mahowald Prize for Neuromorphic Engineering. Neuromorphic engineering is a field of electrical engineering that takes inspiration from neural systems in biology to build brain-like technology. The Misha Mahowald Prize - named for one of the most influential pioneers of neuromorphic engineering, and valued at $10,000 - is awarded each year to recognise outstanding research in the field. The 2019 Prize has been awarded to Associate Professor Gregory Cohen, Postdoctoral Research Fellow Saeed Afshar, Technical Officers Mr Colin Symons and Mr Paras Karki, and Professor Andre van Schaik - from the University's International Centre for Neuromorphic Systems (ICNS) and MARCS Institute for Brain, Behaviour and Development. The team has been recognised for the Astrosite - a mobile space situational awareness (SSA) module based on event-based neuromorphic sensors that was unveiled in February 2019 at the Australian Avalon Airshow. The neuromorphic sensors offer a novel means of performing SSA tasks and provide capabilities that cannot be achieved using conventional astronomy cameras. These benefits include the abilities to operate during daylight conditions, image under a wide range of lighting conditions, and to perform continuous and frame-free sky imaging. Lead researcher, Associate Professor Gregory Cohen, says the ground-breaking Astrosite project has already proven game-changing in a number of fields, including defence. "With tens of thousands of man-made objects currently orbiting in space, the risk of collision between debris, satellites and spacecraft has become a serious concern for organisations with a commercial interest in space, as well as national and international defence agencies," says Associate Professor Cohen. "The Astrosite uses event-based sensors that are inspired by the human eye, in which each pixel operates independently to detect only local changes in light intensity, in contrast to standard cameras where all pixels are captured at the same instant in time. This gives the event-based sensors an unprecedented resolution in time and dynamic range of intensity." The Misha Mahowald Prize (mahowaldprize.org) is managed by iniForum GmbH, Switzerland, and decided by a jury of internationally recognised experts. Associate Professor Cohen will accept the Prize on behalf of the ICNS team at a special awards ceremony as part of the 2020 CapoCaccia Workshop Conference Toward Neuromorphic Intelligence in Sardinia, Italy. ----- From k.j.geras at nyu.edu Thu Dec 19 20:23:25 2019 From: k.j.geras at nyu.edu (Krzysztof Jerzy Geras) Date: Thu, 19 Dec 2019 20:23:25 -0500 Subject: Connectionists: Machine Learning Research Scientist position at at the NYU School of Medicine Message-ID: The Center for Biomedical Imaging and the Center for Advanced Imaging Innovation & Research (CAI2R) at NYU Langone Health are looking for a highly motivated Research Scientist to join our interdisciplinary group and work on novel machine learning methods for medical imaging. The Research Scientist will develop new research directions, building upon our ongoing research on machine learning methods for accelerated MRI [1, 2, 3], breast cancer detection [4, 5, 6] and musculoskeletal [7] and brain image [8, 9, 10] analysis. We are especially interested in candidates who want to work on model explainability, robustness and uncertainty. Requirements include: - Passion for research on deep learning for medical imaging. - PhD in computer science, medical imaging, mathematics, physics, electrical engineering or a related discipline. An exception can be made for an extraordinary candidate without a PhD. - Advanced skills in Python and Tensorflow or PyTorch. - Advanced knowledge of machine learning and deep learning. - Advanced skills in using Linux. - Experience in working with medical imaging data is a big plus. Responsibilities will include: - Developing novel machine learning methods for medical imaging. - Collaborating with other research scientists, faculty members, postdocs and students at our center. Timeline, Salary, and Benefits Please apply no later than 3/29. We expect the appointed candidate to start not later than the autumn of 2020. The initial appointment will be for a year, with an intention to renew further, depending on mutual agreement. We offer a competitive salary and benefits package. We welcome both domestic and international applicants. To Apply Please send your application (CV and a short motivation letter) to Yvonne Lui (yvonne.lui at nyulangone.org ) and Krzysztof Geras (k.j.geras at nyu.edu). Please use the string ?[machine learning research scientist]? as the subject of the email. About Us The Center for Advanced Imaging Innovation & Research (CAI2R), located in midtown Manhattan, is operated by the research arm of the radiology department of NYU Langone Health. The research division comprises approximately 130 full-?time personnel dedicated to imaging research, development, and clinical translation. We are a highly collaborative group and work in interdisciplinary, matrixed teams that include engineers, scientists, clinicians, technologists, and industry experts. We encourage collaboration across research groups to promote creativity and nurture an environment conducive to breakthrough innovations at the forefront of biomedical research. To learn more about our research center, visit https://cai2r.net References [1] Learning a variational network for reconstruction of accelerated MRI data . K. Hammernik et al. MRM, 2018. [2] Assessment of the generalization of learned image reconstruction and the potential for transfer learning . F. Knoll et al. MRM, 2019. [3] fastMRI: An Open Dataset and Benchmarks for Accelerated MRI . J. Zbontar et al. 2018. [4] Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening . N. Wu et al. IEEE TMI, 2019. [5] Globally-Aware Multiple Instance Classifier for Breast Cancer Screening . Y. Shen et al. MLMI, 2019. [6] Breast density classification with deep convolutional neural networks . N. Wu et al. ICASSP, 2018. [7] Segmentation of the proximal femur from MR images using deep convolutional neural networks . C. M. Deniz et al. Scientific Reports, 2018. [8] On the design of convolutional neural networks for automatic detection of Alzheimer's disease . S. Liu et al. 2019. [9] DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation . A. Kaku et al. 2019. [10] Generalized Recurrent Neural Network accommodating Dynamic Causal Modeling for functional MRI analysis . Y. Wang et al. Neuroimage, 2018. -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Fri Dec 20 10:23:31 2019 From: suashdeb at gmail.com (Suash Deb) Date: Fri, 20 Dec 2019 20:53:31 +0530 Subject: Connectionists: ISCMI20 (Stockholm, Sweden) Message-ID: Dear esteemed colleagues, Warm greetings. Hope all is well. I am happy to present the website of ISCMI20 http://iscmi.us/index.html Do promote the event among your peers and motivate them to submit manuscripts for the conference. Thanks so much & best rgds, Suash Prof. Suash Deb General Chair, ISCMI20 (Stockholm) -------------- next part -------------- An HTML attachment was scrubbed... URL: From eero at cns.nyu.edu Fri Dec 20 22:09:36 2019 From: eero at cns.nyu.edu (Eero Simoncelli) Date: Fri, 20 Dec 2019 22:09:36 -0500 (EST) Subject: Connectionists: Joint faculty position at NYU: Data Science and Neural Science Message-ID: <201912210309.xBL39aJ18352@calaf.cns.nyu.edu> The Center for Neural Science (CNS) and the Center for Data Science (CDS) at New York University invite applications for an open rank joint faculty position, anticipated to begin September 2020. Appointments may be made at either junior or senior level. We seek exceptional candidates that can carry out research programs aimed at quantitative analysis and modeling of neural data, and developing related data science tools and methods, leveraging existing strengths of CNS and CDS. We are particularly interested in scholars with cross-disciplinary research interests that complement those of our existing faculty. The successful candidate will be a faculty member in both units, with teaching, service, and other professional duties split between them. Applications and supporting documents received by 31 December 2019 will receive full consideration. Further information about CNS and CDS, and the University: * http://www.cns.nyu.edu/ * https://cds.nyu.edu/ To apply: * https://apply.interfolio.com/70431 Best, Eero Simoncelli New York University From steedman at inf.ed.ac.uk Fri Dec 20 11:16:28 2019 From: steedman at inf.ed.ac.uk (Mark Steedman) Date: Fri, 20 Dec 2019 16:16:28 +0000 Subject: Connectionists: Post-doc in NLP, School of Informatics, University of Edinburgh Message-ID: <201912201616.xBKGGSHA004355@woolf.inf.ed.ac.uk> The position is to collaborate on research in question-answering using entailment graphs built by machine-reading and deep learning in Mark Steedman's lab in the Institute for Language, Cognition, and Computation (ILCC) at Edinburgh. Details and application forms at https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=050766 Mark Steedman School of Informatics University of Edinburgh Informatics Forum 415 10 Crichton Street EDINBURGH, EH8 9AB Scotland, United Kingdom tel: +44 (0)131 650 4631 fax: +44 (0)131 650 6626 www: http://homepages.inf.ed.ac.uk/steedman/ email: steedman at inf.ed.ac.uk -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From terry at salk.edu Fri Dec 20 12:35:00 2019 From: terry at salk.edu (Terry Sejnowski) Date: Fri, 20 Dec 2019 09:35:00 -0800 Subject: Connectionists: NEURAL COMPUTATION - January 1, 2020 In-Reply-To: Message-ID: Neural Computation - Volume 32, Number 1 - January 1, 2020 Available online for download now: http://www.mitpressjournals.org/toc/neco/32/1 http://cognet.mit.edu/content/neural-computation ----- Articles Towards Training Recurrent Neural Networks for Lifelong Learning Shagun Sodhani, Sarath Chandar and Yoshua Bengio A Continuous-Time Analysis of Distributed Stochastic Gradient Nicholas M. Boffi, Jean-Jacques Slotine Letters On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation Shiyu Duan, Shujian Yu, Yunmei Chen and Jose C. Principe Storing Object Dependent Sparse Codes in a Willshaw Associative Network Luis Sa-Couto, Andreas Wichert A Robust Model of Gated Working Memory Anthony Strock, Xavier Hinaut and Nicolas Rougier An FPGA Implementation of Deep Spiking Neural Network for Low-Power and Fast Classification Xiping Ju, Biao Fang, Rui Yan, Xiaoliang Xu and Huajin Tang Iterative Retrieval and Block Coding in Auto- and Hetero-Associative Memory Andreas Knoblauch, Guenther Palm Optimal Sampling of Parametric Families: Implications for Machine Learning Adrian Emmanuel Georg Huber, Jithendar Anumula and Shih-Chii Liu ------------ 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 iswc.conf at gmail.com Thu Dec 19 15:05:52 2019 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Thu, 19 Dec 2019 21:05:52 +0100 Subject: Connectionists: CfP ISWC 2020 - Call for Workshops, Tutorials, and Papers Message-ID: <45B6A9E4-A77C-441A-8071-2BB58F1AD9E4@gmail.com> Joint CfP: 19th International Semantic Web Conference (ISWC 2020) Athens, Greece, November 2-6, 2020 http://iswc2020.semanticweb.org The International Semantic Web Conference (ISWC) is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. It is the most important international venue to discuss and present the latest advances and applications of the semantic Web, knowledge graphs, linked data, ontologies and artificial intelligence (AI) on the Web. This year, we are introducing two new tracks - the Sister Conference Track, which is intended as a forum for presentations of significant related research results that have been recently presented at very well established conferences, and the Vision Track, which aims to invigorate the community with fresh ideas and visions through short invited talks. Follow us: Twitter: @iswc_conf #iswc_conf ( https://twitter.com/iswc_conf ) LinkedIn: https://www.linkedin.com/groups/13612370 Facebook: https://www.facebook.com/ISWConf/ Become part of ISWC 2020 by submitting to the following tracks & activities or just attend them! All deadlines are 23:59 AoE (anywhere on earth). 1. Call for Workshop Proposals: https://iswc2020.semanticweb.org/calls/call-for-workshop-proposals/ Deadline: January 30, 2020 2. Call for Tutorial Proposals: https://iswc2020.semanticweb.org/calls/call-for-tutorial-proposals/ Deadline: January 30, 2020 3. Call for Papers: Research Track: https://iswc2020.semanticweb.org/calls/call-for-research-track-papers/ Call for Papers: Resources Track: https://iswc2020.semanticweb.org/calls/call-for-resources-track-paper/ Call for Papers: In-Use Track: https://iswc2020.semanticweb.org/calls/call-for-in-use-track-papers/ Abstract deadline: March 27, 2020 Full paper deadline: April 3, 2020 More calls to be announced soon! The ISWC 2020 Organising Team (https://iswc2020.semanticweb.org/organization/organizing-committee/) From annalisa.riccardi at strath.ac.uk Thu Dec 19 11:55:49 2019 From: annalisa.riccardi at strath.ac.uk (Annalisa Riccardi) Date: Thu, 19 Dec 2019 16:55:49 +0000 Subject: Connectionists: Call for papers: Special Session on Intelligent Control @ WCCI2020 Message-ID: Dear Colleague, (with apologies if you receive multiple copies) We invite you to submit your research on Intelligent Control (Methods and Applications) to our special session @WCCI2020. We would be grateful if you can forward this mail to colleagues and potential contributors. IEEE World Congress on Computational Intelligence 2020 in Glasgow, Scotland, United Kingdom 19-24 July 2020 Special session chairs: Riccardi A., Minisci E. Website Link: http://icelab.uk/news-events/ssic_at_wcci2020/ Important Dates 15th of January 2020: deadline for paper submission 15th of March 2020: notification of acceptance 15th of April 2020: final paper submission Topics: authors are invited to submit papers on one or more of the following topics (include but not limited to): * Learning and adaptive control * Optimal control * Robust control systems * Autonomous systems * Fuzzy logic control systems * Neural control systems * Evolutionary control systems * Knowledge based systems * Fault detection isolation and recovery * Real time control * On board control * Control under uncertainty * Hybrid intelligent control methods * Applications and benchmarks of intelligent control Best regards, Dr Annalisa Riccardi, ICE Lab, Aerospace Centre of Excellence, University of Strathclyde (Glasgow, UK) Dr Edmondo Minisci, ICE Lab, Aerospace Centre of Excellence, University of Strathclyde (Glasgow, UK) -------------- next part -------------- An HTML attachment was scrubbed... URL: From tai at cnbc.cmu.edu Sat Dec 21 07:05:53 2019 From: tai at cnbc.cmu.edu (Tai Sing Lee) Date: Sat, 21 Dec 2019 07:05:53 -0500 Subject: Connectionists: Carnegie Mellon - University of Pittsburgh Joint Summer Undergraduate Program in Computational Neuroscience References: <8DDD8440-A902-4CE3-9526-BA3A7924CBEC@andrew.cmu.edu> Message-ID: <28C900C1-5564-4765-AE24-EE3BCF2F243F@cnbc.cmu.edu> Please encourage computationally-oriented undergraduates to apply to the Summer 2020 undergraduate program in computational neuroscience (uPNC) in Pittsburgh! Undergraduates interested in receiving research training in computational neuroscience are encouraged to apply to an NIH-sponsored summer program at the Center for the Neural Basis of Cognition (CNBC) in Pittsburgh, PA. The CNBC is a joint interdisciplinary program of Carnegie Mellon University and the University of Pittsburgh. Starting in late May or early June each year, a select group of talented undergraduates will embark on a 10-week residential program that provides intensive, mentored research experiences in computational and theoretical neuroscience. Admitted students will receive a stipend and university dormitory housing. The core of the program is the opportunity to carry out an individual mentored research project working closely with a faculty mentor. Other aspects of the scientific program include faculty research talks, student presentations and discussion of articles from the scientific literature, presentations on career options and scientific ethics, and a concluding symposium in which students present their research. This program is intended for students who wish to pursue a Ph.D. after graduation. Any undergraduate may apply, but we are especially interested in attracting students with strong quantitative backgrounds. Many of our trainees are from colleges and universities that do not have extensive research programs, but all must be United States citizens or permanent residents, must be enrolled at a 4-year accredited institution, and must be in their sophomore or junior year at the time of application. CNBC is dedicated to creating an inclusive and welcoming environment for all students and we encourage applications from women, under-represented minorities, and individuals with disabilities. Additional information and the application can be found here . A showcase of past years? undergraduate research and program schedules is available: summer uPNC 2019 , summer uPNC 2018 , summer uPNC 2017 mentored research is also available. Please contact Dr. Linda Moya (lhmoya at cmu.edu ) for further questions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Sat Dec 21 10:01:48 2019 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Sat, 21 Dec 2019 15:01:48 +0000 Subject: Connectionists: Cognitive Neuroscience Research positions in Coimbra Portugal - open call for 2020. In-Reply-To: References: Message-ID: The Proaction Laboratory (Jorge Almeida's lab; proactionlab.fpce.uc.pt) at the University Coimbra Portugal is looking for Researchers at different levels of their career from newly phd graduates, to assistant, associate or full level researchers to be part of the lab in a joint competitive application to a Portuguese Science Foundation (FCT) independent researcher call. The applicants should have an interest on cognitive neuroscience, vision science and preferably (but not limited to) object recognition, conceptual processing, and action and perception. We are particularly interested in motivated and independent Researchers addressing these topics with strong expertise in behavioral, neuromodulation and/or EEG approaches (in particular Multivariate EEG decoding, and EEG/fMRI multimodal approaches). Good programming skills, great communication and mentoring skills, and a great command of English are a plus. The applicant and the lab will work on a competitive project to be submitted. Results from the application are expected to be out in October/November 2020. The application deadline is around February/March. The positions are as independent researchers in the Proaction Lab, are for 6 years, and the salary is the same as the Portuguese payroll for University Professors (net values for junior, assistant, associate positions, for instance are approximately 1500, 1900 and 2100 euros per month in a 14 month salary per year; these are competitive salaries for the cost of living in Portugal and especially in Coimbra). The Proaction Lab is currently very well funded as we have a set of on-going funded projects including a Starting Grant ERC to Jorge Almeida and several FCT projects. We have access to a 3T MRI scanner with a 64-channel coil (with EEG inside the scanner), to tDCS, and to a fully set psychophysics lab. We have EEG and eyetracking on site. We also have a science communication office dedicated to the lab. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain. The deadline for this pre-application is January 20, but you should apply as soon as you can - the sooner the better so that we can prepare the application. If interested send an email to jorgecbalmeida at gmail.com, with a CV, and motivation/scientific proposal letter. If there is a fit, we will jointly apply to these positions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pal.johan.from at nmbu.no Sat Dec 21 16:22:50 2019 From: pal.johan.from at nmbu.no (=?utf-8?B?UMOlbCBKb2hhbiBGcm9t?=) Date: Sat, 21 Dec 2019 21:22:50 +0000 Subject: Connectionists: [jobs] Postdoctoral fellows within autonomous navigation or applications for robots in agriculture Message-ID: <59f4e133dcb84807a890006d6e2ad9b0@EXCH-MBX04.NMBU.NO> The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has vacant 2-3 year positions as postdoctoral fellow within autonomous navigation or applications for robots in the agricultural domain. To apply, click on ?Apply this position? on https://www.jobbnorge.no/en/available-jobs/job/180349/postdoctoral-fellow-within-autonomous-navigation-or-applications-for-robots-in-agriculture We are looking for postdoctoral fellows in autonomous navigation and applications for robots in the agricultural domain. Applicants to the positions must state which of these two areas is of interest. 1. Autonomous navigation In order to exploit the great potential of robots in agriculture, these robots rely on accurate information on their own position and their surroundings. To be successful, agricultural robots must cope with challenging topology and dynamic obstacles. The robots must also be capable of seamless indoor-outdoor navigation. Under these conditions, reliable and accurate localization cannot be achieved with satellitebased systems alone, so one will have to also incorporate data from other sensors such as e.g.: inertial sensors, cameras, laser scanners and ultra-wideband radars. In addition, these robots need to be equipped with the sufficient level of autonomy to be able to operate safely and reliably in a complex and dynamic environment. Task allocation and scheduling tasks for one or multiple robots is an important research topic. The robots need to operate in areas where humans and animals have access, and therefore need to do this in a safe way. 2. Applications Several tasks in agriculture require precise manipulation in a complex and unstructured environment. This calls for new tool design, new control schemes and advanced machine vision to be implemented. We are looking for candidates who have experience in developing precision tools for the agricultural domain, such as harvesters, precision weeders and seeders, or similar systems. The faculty has a robotic setup that will be made available to the candidate. It is expected that the candidate uses this equipment to verify the performance of the suggested navigation systems with real scenarios. The Thorvald robot to be used in the experiments is developed at NMBU. The candidate will have the opportunity to test the developed methodology on a wide variety of applications, as the robot is used by several different departments at the university. The university currently has several robots available for experiments and testing. The candidate will also have access to the research farm at the university. Main tasks The main purpose of the post-doctoral position is to qualify for work in high-level scientific positions. A PhD degree is required. 1. Autonomous navigation The main task of the candidate will be to implement safe and robust autonomy in the agricultural environment, and in particular for robots that operate both in the indoor and outdoor domain. The main activities will be related to one or more of the following topics: * Safe and robust navigation in the agricultural environment. This includes both indoor (without, or with poor GNSS coverage) and outdoor environment. * Obstacle avoidance in a dynamic environment. * Safety, in particular recognition of dangerous situations for the robot and its environment. * Optimal trajectory planning. * Human-robot interaction. * Certification and proven robustness. * System integration. 2. Applications The main task of the candidate will be to implement efficient and robust manipulation in the agricultural environment. The main activities will be related to one or more of the following topics: * Gripper design * Algorithms for grasping in an unstructured environment * Trajectory planning * Machine vision * Deep learning * AI Required Academic qualifications * PhD in Engineering Cybernetics, Robotics, Control, or similar. * Proficiency in mathematical modeling, control and statistical methods. * Hands-on experience from implementing algorithms on real systems. The following experiences and skills will be emphasized: * Experience with implementing Kalman filters, particle filters, or similar. * Experience with Robot design and prototyping. * Experience with Navigation algorithms such as waypoint navigation, SLAM, etc. * Experience from large research projects or industry. * Experience with Machine vision. * Excellent programming skills, ROS, C/C++, Python --- P?l Johan From, Ph.D. Professor Head of Robotics Group Faculty of Sciences and Technology Norwegian University of Life Science Postbox 5003 1432 ?s Norway tel: +47 67231603 cel: +47 90690932 e-mail: pafr at nmbu.no http://www.nmbu.no/go/robotikk http://www.nmbu.no/go/robotics? -------------- next part -------------- An HTML attachment was scrubbed... URL: From erik at oist.jp Mon Dec 23 04:42:40 2019 From: erik at oist.jp (Erik De Schutter) Date: Mon, 23 Dec 2019 09:42:40 +0000 Subject: Connectionists: Announcing Okinawa/OIST Computational Neuroscience Course 2020 Message-ID: OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2020 Methods, Neurons, Networks and Behaviors June 29 to July 16, 2020 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 29th through July 16th, 2020 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 1 - February 2, 2020. Applicants will receive confirmation of acceptance in March. Like in preceding years, the 17th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and provides partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: ? Michael Berry II (Princeton University, USA) ? Tiago Branco (Sainsbury Wellcome Centre, London, UK) ? Zenas C Chao (University of Kyoto, Japan) ? Erik De Schutter (OIST) ? Kenji Doya (OIST) ? Gaute Einevoll (Norwegian University of Life Sciences, Norway) ? Tomoki Fukai (OIST) ? Boris Gutkin (Ecole Normale Sup?rieure, Paris, France) ? Bernd Kuhn (OIST) ? Devika Narain (Erasmus Medical Center, Rotterdam, Netherlands) ? Alex Pouget (University of Geneva, Switzerland) ? Ivan Soltesz (Stanford University, USA) ? Saori C. Tanaka (ATR, Japan) ? Tatjana Tchumatchenko (Max Planck Institute for Brain Research, Frankfur, Germany) ? Marylka Yoe Uusisaari (OIST) -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 3718 bytes Desc: not available URL: From m.herbster at cs.ucl.ac.uk Sun Dec 22 13:36:25 2019 From: m.herbster at cs.ucl.ac.uk (Mark Herbster) Date: Sun, 22 Dec 2019 18:36:25 +0000 Subject: Connectionists: Lecturer / Associate Professor in Machine Learning at UCL Message-ID: <3C213632-FC05-45B9-B920-CCB6A4F6835B@cs.ucl.ac.uk> ?The Department of Computer Science seeks to expand on its strengths in the teaching and research of Machine Learning and Artificial Intelligence. The post-holder will be a member of our newly formed Centre for Artificial Intelligence and be expected to teach and develop novel Machine Learning techniques and analyses, collaborating with other Centre members and more widely across UCL. The post-holder will have substantial expertise and track record in Machine Learning. They will have the skills to work collaboratively and promote the impact of their research. They will have excellent written and verbal communication skills for outstanding teaching, scientific communication, and attracting research funding from multiple sources. Applicants should apply online. https://www.jobs.ac.uk/job/BXP342/lecturer-associate-professor-in-machine-learning If you have any queries regarding the vacancy or the application process, please contact David Barber at david.barber at ucl.ac.uk . -------------- next part -------------- An HTML attachment was scrubbed... URL: From torcini at gmail.com Mon Dec 23 09:09:20 2019 From: torcini at gmail.com (A. Torcini) Date: Mon, 23 Dec 2019 15:09:20 +0100 Subject: Connectionists: Full Professor Position in Theoretical Physics at LPTM (Cergy-Pontoise University, France) Message-ID: Full Professor Position in Theoretical Physics at LPTM (Cergy-Pontoise University, France) We expect the opening of a Full Professor position at the Theoretical Physics and Modelisation Laboratory (LPTM), Physics Department, University Cergy Pontoise (UCP), France. Position to start September, 1st 2020. The position is expected to be endowed with a 2/3 teaching-duties exemption for 3 years (yielding the teaching duties to 64 hrs instead of 192 hrs). We are looking for outstanding candidates with a profile primarily in Complex Systems, Computational Neurosciences, Soft Matter ; and/or Probabilities, Stochastic dynamics and Integrable Systems. More details can be found here: https://euraxess.ec.europa.eu/jobs/474697 From sontn.fz at gmail.com Mon Dec 23 07:47:06 2019 From: sontn.fz at gmail.com (Tran Son) Date: Mon, 23 Dec 2019 23:47:06 +1100 Subject: Connectionists: Call for Papers: 2020 Principle and Practice of Data and Knowledge Acquisition Workshop Message-ID: Call for Papers: 2020 Principle and Practice of Data and Knowledge Acquisition Workshop (PKAW2020) 11-12 July 2020, Yokohama, Japan, PKAW2020 is a workshop under IJCAI/PRICAI2020 http://www.pkaw.org/pkaw2020/ PKAW (Principle and Practice of Data and Knowledge Acquisition Workshop) was established in 1980s as an integral part of PRICAI (Pacific Rim International Conference on Artificial Intelligence). PKAW2020 will be held as a workshop of the joint conference IJCAI/PRICAI2020 at Yokohama, Japan. Wide range of topics such as knowledge acquisition, data representation and big data acquisition etc. are greatly welcome. IMPORTANT DATES: -Submission Due: April 25, 2020 (Final paper submission will close at 11:59 PM GMT) -Notification: May 25, 2020 -Camera Ready Due: June 5, 2020 -Workshop Date: July, 2020 TOPICS OF INTEREST All aspects of knowledge acquisition, data engineering and management for intelligent systems, including (but not restricted to): - Fundamental views on knowledge that affect the knowledge acquisition process and the use of knowledge in knowledge engineering - Algorithmic approaches to knowledge acquisition - Tools and techniques for knowledge acquisition, knowledge maintenance and knowledge validation - Evaluation of knowledge acquisition techniques, tools and methods - Languages and frameworks for knowledge and knowledge modelling information systems or decision support systems - Methods and techniques for sharing and reusing knowledge - Ontology and its role in knowledge acquisition - Mining the Semantic Web, the Linked Data and the Web of Data - Hybrid approaches combining knowledge engineering and machine learning - Innovative user interfaces - Data acquisition - Data analytics and mining - Multimedia data acquisition and analysis - Data representation - Big data acquisition and analysis - Learning from big data - Crowd-sourcing for data generation and problem solving - Software engineering and knowledge engineering - Algorithms, tools and techniques for machine intelligence - Knowledge acquisition applications tested and deployed in in real-life settings PAPER SUBMISSION: PKAW will not accept any paper that, at the time of submission, is under review for, has already been published in, or has already been accepted for publication in, a journal or another venue with formally published proceedings. If part of the work has been previously published, authors are strongly encouraged to cite and compare/contrast the new contributions with the parts that were already published before. The paper must substantially extend the previously published work. All papers for the review should be submitted electronically using the conference management tool in PDF/DOC format and formatted using the Springer LNAI template or IJICAI template. The paper should be between 10 to 15 pages long. Camera ready for accepted papers should be submitted using only the Springer LNAI template. For Springer LNAI format templates, please see the Springer?s website: http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines Page limit: Full paper: 12-15 pages Short paper: 8 pages Submission will be through the Easychair conference management system: https://easychair.org/conferences/?conf=pkaw2020 POST-PROCEEDINGS PUBLICATION: The post-proceedings of PKAW2020 will be published in the LNAI series of Springer (to be confirmed). ORGANIZING COMMITTEE: Honorary Chairs: ?Prof. Paul Compton, University of New South Wales, Australia ?Prof. Hiroshi Motoda, Osaka University, Japan Advisory Committee: ?Prof. Maria R Lee, Shih Chien University, Taiwan ?Prof. Kenichi Yoshida, University of Tsukuba, Japan ?Prof. Byeong-Ho Kang, University of Tasmania, Australia ?Prof. Deborah Richards, Macquarie University, Australia Workshop Co-chairs: ?A/Prof. Quan Bai, University of Tasmania, Australia ?Prof. Hiroshi Uehara, Akita Prefectural University, Japan Publicity Chairs: ?Dr. Soyeon Caren Han, University of Sydney, Australia ?Dr. Son Tran, University of Tasmania, Australia ?A/Prof. Weiwei Yuan, Nanjing University of Aeronautics and Astronautics, China ?Dr. Takayasu Yamaguchi, Senior Research Engineer, NTT DOCOMO, Inc., Japan Webmaster: ?Mr. Shiqing Wu, University of Tasmania, Australia CONTACT: A/Prof. Quan Bai: quan.bai at utas.edu.au Prof. Hiroshi Uehara: uehara at akita-pu.ac.jp Dr. Takayasu Yamaguchi: yamasound at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From nemanja at temple.edu Mon Dec 23 13:26:17 2019 From: nemanja at temple.edu (Nemanja Djuric) Date: Mon, 23 Dec 2019 13:26:17 -0500 Subject: Connectionists: CfP: CVPR 2020 - The 2nd Workshop on "Precognition: Seeing through the Future" Message-ID: Call for Workshop Papers The 2nd Workshop on "Precognition: Seeing through the Future" in conjunction with The 33rd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020) Seattle, WA, USA, June 14th-19th, 2020 https://sites.google.com/view/ieeecvf-cvpr2020-precognition ================= Despite its potential and relevance for real-world applications, visual forecasting or precognition has not been in the focus of new theoretical studies and practical applications as much as detection and recognition problems. Through the organization of this workshop we aim to facilitate further discussion and interest within the research community regarding this nascent topic. The workshop will discuss recent approaches and research trends not only in anticipating human behavior from videos, but also precognition in multiple other visual applications, such as: medical imaging, health-care, human face aging prediction, early event prediction, autonomous driving forecasting, and so on. In addition, this workshop will give an opportunity for the community in both academia and industry to meet and discuss future work and research directions. It will bring together researchers from different fields and viewpoints to discuss existing major research problems and identify opportunities in further research directions in both research topics and industrial applications. This is the second Precognition workshop organized at CVPR. It follows a very successful workshop organized in 2019, which featured talks from researchers across a number of industries, insightful presentations, and large attendance. For full programs, slides, posters, and other resources, please visit the website of Precognition 2019 at https://sites.google.com/view/ieeecvf-cvpr2019-precognition. ================= Topics: The workshop focuses on several important aspects of visual forecasting. The topics of interest for this workshop include, but are not limited to: - Early event prediction - Activity forecasting - Multi-agent forecasting - Human behavior prediction - Human face aging prediction - Anticipation of trajectories - Short- and long-term prediction and diagnoses in medical imaging - Predicting frames and features in videos and other sensors in autonomous driving - New theories and applications in visual forecasting models - Databases, evaluation, and benchmarking in precognition ================= Submission Instructions: All submitted work will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted submission, at least one author must attend the workshop and present the paper. There are two ways to contribute submissions to the workshop: - Extended abstracts submissions are single-blind peer-reviewed, and author names and affiliations should be listed. Extended abstract submissions are limited to a total of four pages. Accepted abstracts will be presented at the poster session, and will not be included in the printed proceedings of the workshop. - Full paper submissions are double-blind peer-reviewed. The submissions are limited to eight pages, including figures and tables, in the CVPR style. Additional pages containing only cited references are allowed (additional information about formatting and style files is available at the website). Accepted papers will be presented at the poster session, with selected papers also being presented in an oral session. All accepted papers will be published by the CVPR in the workshop proceedings. Submission website: https://cmt3.research.microsoft.com/PRECOGNITION2020 ================= Important Deadlines: Submission : March 22nd, 2020 Decisions : April 14th, 2020 Camera-ready : April 19th, 2020 Workshop : June 14th, 2020 ================= Program Committee Chairs: - Dr. Khoa Luu (University of Arkansas) - Dr. Kris Kitani (Carnegie Mellon University) - Dr. Minh Hoai Nguyen (Stony Brook University) - Dr. Hien Van Nguyen (University of Houston) - Dr. Nemanja Djuric (Uber ATG) - Dr. Utsav Prabhu (Google) For further questions please contact a member of the organizing committee at precognition.organizers at gmail.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From kamdarmax at gmail.com Tue Dec 24 11:16:22 2019 From: kamdarmax at gmail.com (Maulik Kamdar) Date: Tue, 24 Dec 2019 11:16:22 -0500 Subject: Connectionists: [US2TS 2020] Registration is open for the U.S. Semantic Technologies Symposium 2020 Message-ID: 3rd U.S. Semantic Technologies Symposium 2020 9 ? 11 March 2020, North Carolina State University in Raleigh, North Carolina. US2TS Call for Registration ===================================== ** Registration ===================================== Early Registration deadline: Jan 31, 2020. Registration link: http://us2ts.org/registration ===================================== ** About US2TS ===================================== The US2TS Symposium series is an emerging premier forum for fostering community between academic, industry, and government researchers and practitioners in the US that develop or apply semantic technologies. The interest in semantics has been strengthened by the growing dependence on the Web and the continuously increasing importance of large-scale data sharing, integration, and reuse. Participants at the US2TS come from disciplines in computer science and engineering, natural sciences, geoscience, biology, library science, biomedical and health care sciences, social sciences and the humanities, and many others. Discussions at the symposium cover core topics such as the Semantic Web, Ontologies, Knowledge Graph, Linked Data and AI on the Web, Privacy and Trust, etc., as well as the intersection of such topics with areas such as the Internet of Things (IoT) and Blockchains. Accepted session proposals will be published imminently, and together with other program components will be available on the US2TS 2020 website ( http://us2ts.org). ===================================== ** Contact ===================================== All inquiries, including questions about submissions should be emailed to contact us at 2020-org AT us2ts DOT org You are also welcome to join our social network on LinkedIn at https://www.linkedin.com/groups/13783135/ Look forward to your great contributions and participation. See you all on March 9 - 11, 2020, in Raleigh, NC! -------------- next part -------------- An HTML attachment was scrubbed... URL: From dlinnlp at gmail.com Thu Dec 26 03:59:13 2019 From: dlinnlp at gmail.com (Slavi Slavov) Date: Thu, 26 Dec 2019 10:59:13 +0200 Subject: Connectionists: EM TTI Call for application 2020 Message-ID: European Masters in Technology for Translation and Interpreting (EM TTI) Call for start date Sept 2020 Application Deadline for scholarship: 31st January 2020 Application Deadline for self-funded applicants: 31st May 2020 *https://em-tti.eu/* We invite applications for the new European Mundus Masters programme in Technology for Translation and Interpreting (EM TTI) with a start date of September 2020. The invitation is open for both European and non-European students. Information about required documents and link to the application portal is available at: *https://em-tti.eu/how-to-apply* *> Application Portal* Only applications via the Application Portal will be accepted. - Are you eligible? *Check eligibility here * - Have more questions? *Check the FAQ section here * - Want to know how you will be evaluated? *Check the ranking of applications here * - Have you gathered all necessary documents? *Check the list of required documents here * You can access the Application Portal is available *here * . *> Deadlines* To apply for the scholarship: 31st Jan 2020 To apply as a self-funding candidate: 31st May 2020 *> Deadlines for self-funding candidates* 31 May 2019 for self-funding candidates *> Key information about this programme* - The first ever Master?s programme in Technology in Translation and Interpreting in the world, delivered by leading experts in Translation and Interpreting Technology - The programme is specially designed for future translators and interpreters who would like to learn about the latest technology to support their work, as well as for future developers of translation and interpreting tools - The programme has a strong industrial and user emphasis, and is underpinned by the latest research in the field - The programme will provide a sound intellectual platform for graduates to progress onto doctorate level study and a career in the fields of Translation and Interpreting - 2-year Master?s programme (120 ECTS) with *mobility in 2 universities* - Students *are awarded a double degree* at the end of 2 years - You will spend your first year at one of the partner universities and your second year at a different institution. You will be able to choose any two universities from the strong consortium of the *University of Wolverhampton, UK* (the co-ordinator); *University of Malaga, Spain* ; and *New Bulgarian University, Bulgaria* . - You will benefit greatly from *two 1-month placements* at *associated partners* all across the globe, one each year, with at least one of the placement being at a company. *> Language of instruction* - English is the main language of instruction, but given the nature of the programme, knowledge of at least one additional language taught at the universities is required. For a full list of eligible foreign languages, please see our entry requirements. *> Funding alternatives* You may wish to consider alternative funding opportunities in order to secure your place on the EM TTI programme as a self-funding student. For instance, many students are able to secure either full or partial scholarships from their home government or other non-governmental sponsors (e.g. companies, banks, etc). Are you interested in the programme? Please check out more information online at *https://em-tti.eu* Kindly send us your queries via the *contact us form* . -------------- next part -------------- An HTML attachment was scrubbed... URL: From hui.liu.mdpi at gmail.com Wed Dec 25 23:20:15 2019 From: hui.liu.mdpi at gmail.com (Hui Liu) Date: Thu, 26 Dec 2019 12:20:15 +0800 Subject: Connectionists: =?utf-8?q?Entropy2020_Conference_=28Porto=2C_May_?= =?utf-8?q?2020=29=E2=80=94Abstract_Submission_Deadline=3A_12_Janua?= =?utf-8?q?ry_2020?= Message-ID: Call for abstract: Entropy 2020: The Scientific Tool of the 21st Century Entropy 2020: The Scientific Tool of the 21st Century will be held in Porto, Portugal, on 6?8 May 2020. This conference will bring together leading researchers from both academia and industry to share their recent findings related to entropy. The concept of entropy initially emerges from the scope of physics, but it is now clear that entropy is deeply related to information theory and the process of inference. Today, entropic techniques have found a broad spectrum of applications in all branches of science. Conference website: https://sciforum.net/conference/Entropy2020 Abstract Submission Link: https://sciforum.net/user/submission/create/277 (Abstract Submission Deadline: 12 January 2020) Examples of relevant topics include, but are not limited to, the following: -Statistical Physics -Information Theory, Probability and Statistics -Thermodynamics -Quantum Information and Foundations -Complex Systems -Entropy in Multidisciplinary Applications [Scientific Committee] J. A. Tenreiro Machado (chair), Polytechnic Institute of Porto, Portugal Walter Lacarbonara, Sapienza University of Rome, Italy Jose C. Principe, University of Florida, USA Gian Paolo Beretta, University of Brescia, Italy Geert Verdoolaege, Ghent University, Belgium William B. Sherwin, UNSW Sydney, Australia Ali Mohammad-Djafari, CNRS, France Ginestra Bianconi, Queen Mary University of London, UK [Confirmed Invited Speakers] Kevin Knuth (University at Albany, USA) Miguel Rubi (University of Barcelona, Spain) Philip Broadbridge (La Trobe University Melbourne, Australia) Marcel Ausloos (University of Leicester, UK) Remo Garattini (University of Bergamo, Italy) Nihat Ay (Max Planck Institute for Mathematics in the Sciences, Germany) Luca Gammaitoni (Universit? degli Studi di Perugia, Italy) Abraham Marmur (Technion-Israel Institute of Technology, Israel) Rosario Lo Franco (Universit? di Palermo, Italy) Miguel A. F. Sanju?n (Universidad Rey Juan Carlos, Spain). All accepted abstracts will be published in the proceedings of the conference. Moreover, participants are cordially invited to contribute with a full manuscript to Entropy Special Issue "Entropy: The Scientific Tool of the 21st Century". https://www.mdpi.com/journal/entropy/special_issues/entropy2020 We hope to meet you in person at the conference! Kindest regards, Ms. Yuejiao Hu Conference Secretariat Entropy (IF 2.419, https://www.mdpi.com/journal/entropy) Twitter: @Entropy_MDPI If you have questions or need assistance, please contact us ( entropy2020 at mdpi.com). -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.wong-lin at ulster.ac.uk Fri Dec 27 13:03:49 2019 From: k.wong-lin at ulster.ac.uk (Wong-Lin, Kongfatt) Date: Fri, 27 Dec 2019 18:03:49 +0000 Subject: Connectionists: PhD Studentship in Neural Data Science, Computational Neuromodulation and Metalearning Message-ID: Applications are invited for a Ph.D. studentship in Neural Data Science, Computational Neuromodulation and Metalearning, tenable in the Faculty of Computing, Engineering and the Built Environment at Ulster University, UK. This PhD project is a collaboration between Ulster University and the University of Oxford (amongst other collaborators) on the computational modelling and theoretical development of neuromodulation in decision-making and learning. For more information, please refer to: https://www.ulster.ac.uk/doctoralcollege/find-a-phd/512105 The application process for the Ph.D. studentship is opened with a closing date for applications on the 7th February 2020. The computational and cognitive neuroscience research community at the Intelligent Systems Research Centre at Ulster University focuses on both fundamental brain and behavioural sciences, and their applications, including neuro-inspired AI, neural engineering and neurotechnology, and clinical neuroscience. The successful PhD candidate will be based at the Research Centre while interacting closely with collaborators at the University of Oxford and other international research institutes. If you wish to discuss your application or enquire more about this Ph.D. studentship, please contact: Dr. KongFatt Wong-Lin (k.wong-lin at ulster.ac.uk). ------------------- Dr. KongFatt Wong-Lin Intelligent Systems Research Centre School of Computing, Engineering and Intelligent Systems Faculty of Computing, Engineering and the Built Environment Ulster University Magee Campus UK https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster at ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Fri Dec 27 09:31:49 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Fri, 27 Dec 2019 09:31:49 -0500 Subject: Connectionists: NEURAL NETWORKS, Jan. 2020 Message-ID: Neural Networks - Volume 121, Jan. 2020 http://www.journals.elsevier.com/neural-networks Growing to Meet the Publishing Demands of the Deep Learning Era Kenji Doya, DeLiang Wang Label-activating framework for zero-shot learning Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao Centralized/decentralized event-triggered pinning synchronization of stochastic coupled networks with noise and incomplete transitional rate Hailing Dong, Jiamu Zhou, Mingqing Xiao Modeling place cells and grid cells in multi-compartment environments: Entorhinal-hippocampal loop as a multisensory integration circuit Tianyi Li, Angelo Arleo, Denis Sheynikhovich Spiking Neural Networks and online learning: An overview and perspectives Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola Kasabov Sliding mode control of neural networks via continuous or periodic sampling event-triggering algorithm Shiqin Wang, Yuting Cao, Tingwen Huang, Yiran Chen, ... Shiping Wen Operation-aware Neural Networks for user response prediction Yi Yang, Baile Xu, Shaofeng Shen, Furao Shen, Jian Zhao An analysis of training and generalization errors in shallow and deep networks H.N. Mhaskar, T. Poggio Event-triggered passivity and synchronization of delayed multiple-weighted coupled reaction-diffusion neural networks with non-identical nodes Shanrong Lin, Yanli Huang, Shunyan Ren Embedding topological features into convolutional neural network salient object detection Lecheng Zhou, Xiaodong Gu Interfering with a memory without erasing its trace Gesa Lange, Mario Senden, Alexandra Radermacher, Peter De Weerd A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule Yunzhe Hao, Xuhui Huang, Meng Dong, Bo Xu Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection Imran Razzak, Raghib Abu Saris, Michael Blumenstein, Guandong Xu Synchronization in an array of coupled neural networks with delayed impulses: Average impulsive delay method Bangxin Jiang, Jianquan Lu, Jungang Lou, Jianlong Qiu Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment Qi Xu, Jianxin Peng, Jiangrong Shen, Huajin Tang, Gang Pan How are response properties in the middle temporal area related to inference on visual motion patterns? Omid Rezai, Lucas Stoffl, Bryan Tripp Gated spiking neural network using Iterative Free-Energy Optimization and rank-order coding for structure learning in memory sequences (INFERNO GATE) Alexandre Pitti, Mathias Quoy, Catherine Lavandier, Sofiane Boucenna Distinct role of flexible and stable encodings in sequential working memory Hyeonsu Lee, Woochul Choi, Youngjin Park, Se-Bum Paik The GH-EXIN neural network for hierarchical clustering Giansalvo Cirrincione, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, Eros Pasero Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks Luka Gligic, Andrey Kormilitzin, Paul Goldberg, Alejo Nevado-Holgado Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning Deboleena Roy, Priyadarshini Panda, Kaushik Roy Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces Kaushalya Kumarasinghe, Nikola Kasabov, Denise Taylor Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependence Leonardo Enzo Brito da Silva, Islam Elnabarawy, Donald C. Wunsch Rethinking the performance comparison between SNNS and ANNS Lei Deng, Yujie Wu, Xing Hu, Ling Liang, ... Yuan Xie Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advance Alqamah Sayeed, Yunsoo Choi, Ebrahim Eslami, Yannic Lops, ... Jia Jung Adaptive latent similarity learning for multi-view clustering Deyan Xie, Quanxue Gao, Qianqian Wang, Xiangdong Zhang, Xinbo Gao A sparse deep belief network with efficient fuzzy learning framework Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, Caixia Liu Image denoising using deep CNN with batch renormalization Chunwei Tian, Yong Xu, Wangmeng Zuo Adaptive fault-tolerant consensus for a class of leader-following systems using neural network learning strategy Xiaozheng Jin, Xianfeng Zhao, Jiguo Yu, Xiaoming Wu, Jing Chi Privacy-enhanced multi-party deep learning Maoguo Gong, Jialun Feng, Yu Xie Multi-output parameter-insensitive kernel twin SVR model Yanmeng Li, Huaijiang Sun, Wenzhu Yan, Xiaoqian Zhang Dynamic behaviors of the FitzHugh-Nagumo neuron model with state-dependent impulsive effects Zhilong He, Chuandong Li, Ling Chen, Zhengran Cao Indirect and direct training of spiking neural networks for end-to-end control of a lane-keeping vehicle Zhenshan Bing, Claus Meschede, Guang Chen, Alois Knoll, Kai Huang On the validity of memristor modeling in the neural network literature Yuriy V. Pershin, Massimiliano Di Ventra MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation Nabil Ibtehaz, M. Sohel Rahman Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets Viktor Varkarakis, Shabab Bazrafkan, Peter Corcoran Recognition of words from brain-generated signals of speech-impaired people: Application of autoencoders as a neural Turing machine controller in deep neural networks Behzad Boloukian, Faramarz Safi-Esfahani Event-driven implementation of deep spiking convolutional neural networks for supervised classification using the SpiNNaker neuromorphic platform Alberto Patino-Saucedo, Horacio Rostro-Gonzalez, Teresa Serrano-Gotarredona, Bernabe Linares-Barranco A waiting-time-based event-triggered scheme for stabilization of complex-valued neural networks Xiaohong Wang, Zhen Wang, Qiankun Song, Hao Shen, Xia Huang Finite-time resilient H_infinity state estimation for discrete-time delayed neural networks under dynamic event-triggered mechanism Yufei Liu, Bo Shen, Huisheng Shu Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence Nassim Abderrahmane, Edgar Lemaire, Benoit Miramond From Albrecht_Zimmermann at gmx.net Fri Dec 27 17:03:30 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Fri, 27 Dec 2019 23:03:30 +0100 Subject: Connectionists: [cfp] Next cut-off data for ECML/PKDD journal track coming up Message-ID: An HTML attachment was scrubbed... URL: From tomas.hromadka at gmail.com Fri Dec 27 19:02:03 2019 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Sat, 28 Dec 2019 01:02:03 +0100 Subject: Connectionists: COSYNE 2020: Registration; Travel grants; Cosyne Tutorials Message-ID: <87852600-124d-bd24-d392-b9417d1fd2e5@gmail.com> ==================================================== Computational and Systems Neuroscience 2020 (Cosyne) MAIN MEETING 27 February - 01 March 2020 Denver, Colorado WORKSHOPS 02 March - 03 March 2020 Breckenridge, Colorado www.cosyne.org ==================================================== IMPORTANT DATES Online registration is now open. Travel grant submission is now open. Travel grant application deadlines *31 December 2019, 11.59PM PST (Undergraduate Travel Grant)* 14 January 2020, 11.59PM PST (Other travel grants) ----------------------------------------------- TRAVEL GRANTS ----------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside North America. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see Cosyne.org -> Travel grants. ---------------------------------------------------- COSYNE TUTORIALS ---------------------------------------------------- Cosyne 2019 will host two tutorial sessions on 27 February 2020. For details on Cosyne tutorials please visit Cosyne.org -> Tutorials 20. Tutorial 1: Cosyne 2020 Tutorial session sponsored by the Simons Foundation Topic: Normative approaches to understanding neural coding and behavior Speaker: Ann Hermundstad Ann Hermundstad is a Group Leader in the Computation & Theory research core at Janelia Research Campus. She studies how the brain creates and uses adaptive sensorimotor representations to generate flexible behavior. Her lab uses a combination of theory, modeling, and data analysis to explore how neural circuits can do this efficiently and flexibly, and works in close collaboration with experimentalists to test these ideas in biological systems. We are recruiting TAs for the tutorial session. If interested, please see Cosyne.org -> Tutorials 20 for details on how to apply. Tutorial 2 Topic: Neurodata without Borders Tutorial NWB is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. Navigating the Allen Brain Observatory ---------------------------------------------------- BRIDGE TO INDEPENDENCE AWARD ---------------------------------------------------- The Simons Foundation Autism Research Initiative (SFARI) is invested in supporting the next generation of top autism researchers. The Bridge to Independence grant program promotes talented early-career scientists by facilitating their transition to research independence and providing grant funding at the start of their professorships (https://www.sfari.org/2018/06/15/bridge-to-independence-award-request-for-applications). ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. COSYNE INVITED SPEAKERS Matthew Botvinick (Deepmind/Princeton) Megan Carey (Champalimaud) John Cunningham (Columbia) Gul Dolen (Hopkins) Rainer Friedrich (FMI Basel) Sam Gershman (Harvard) Lisa Giocomo (Stanford) Christopher Harvey (Harvard) Mehrdad Jazayeri (MIT) Wei Ji Ma (NYU) Hendrikje Nienborg (Tuebingen/NIH) Linda Wilbrecht (Berkeley) Marta Zlatic (Janelia) ORGANIZING COMMITTEE General Chairs: Eugenia Chiappe (Champalimaud) and Christian Machens (Champalimaud) Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Workshop Chairs: Catherine Hartley (NYU) and Blake Richards (McGill) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ---------------------------------------------------- COSYNE MAILING LISTS ---------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details. From filippombianchi at gmail.com Fri Dec 27 09:19:56 2019 From: filippombianchi at gmail.com (filippo bianchi) Date: Fri, 27 Dec 2019 15:19:56 +0100 Subject: Connectionists: [CfP] Special Session: Learning Representations for Structured Data - WCCI 2020 Message-ID: Dear colleagues, we are organizing a special session at the upcoming WCCI 2020 conference. The details are in the following. ------------------------------ *Learning Representations for Structured Data* 2020 IEEE World Congress on Computational Intelligence (WCCI 2020) Glasgow (UK), 19 - 24th July, 2020 - https://wcci2020.org/ *DESCRIPTION:* The special session focuses on learning representation for structured data such as sequences, trees, graphs, and relational data. Topics that are of interest to this session include, but are not limited to: - Deep learning and representation learning for graphs - Learning with network data - Graph generation (probabilistic models, variational autoencoders, adversarial training, ?) - Graph reduction and pooling in Graph Neural Networks - Adaptive processing of structured data (neural, probabilistic, kernel) - Recurrent, recursive and contextual models - Tensor methods for structured data - Reservoir computing and randomized neural networks for structures - Relational deep learning - Learning implicit representations - Applications of adaptive structured data processing: e.g. Natural Language Processing, machine vision (e.g. point clouds as graphs), materials science, chemoinformatics, computational biology, social networks. *Important Dates* - *Paper Submissions*: January 15, 2020 - *Paper Acceptance Notifications*: March 30, 2020 - *Conference:* July 19-24, 2020 *Paper Submission *Papers submitted to this Special Session are reviewed according to the same rules as the submissions to the regular sessions of WCCI 2020. Authors who submit papers to this session are invited to mention it in the form during the submission. Submissions to regular and special sessions follow identical format, instructions, deadlines and procedures of the other papers. *Organizers *Davide Bacciu, University of Pisa Nicol? Navarin, University of Padova Filippo Maria Bianchi, Norwegian Research Centre Thomas G?rtner, TU Wien Alessandro Sperduti, University of Padova *Contacts and information *Web page: https://sites.google.com/view/lr4sd20/home emails: bacciu at di.unipi.it - nnavarin at math.unipd.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From boris.gutkin at ens.fr Sat Dec 28 11:46:05 2019 From: boris.gutkin at ens.fr (boris gutkin) Date: Sat, 28 Dec 2019 11:46:05 -0500 Subject: Connectionists: Postdoctoral Positions in Theoretical Neuroscience, Higher School of Economics, Moscow Russia Message-ID: <1E155863-C484-48C6-A001-605FFEEBA409@ens.fr> Post-doctoral position in Theoretical Neuroscience DEADLINE 9 February More Information: https://iri.hse.ru/cognitive_neuroscience3 Application link: https://iri.hse.ru/polls/323647081.html The Higher School of Economics Centre for Cognition & Decision Making of the Institute of Cognitive Neuroscience in Moscow, Russia, invites applications for postdoctoral research positions in computational and mathematical approaches to understanding neural function and cognition at Theoretical Neuroscience Group (TNG). Research interests of the TNG at the Centre for Cognition and Decision Making are wide ranging, carried out in collaboration with the experimental labs at the Center. Current research topics include computational psychiatry, computational neuroeconomics, information processing in neurons and circuits, as well as role of oscillations in cognition. The candidate will have the opportunity to further define and expand the Group?s research programme. We are seeking highly qualified and motivated candidate with backgrounds in quantitative disciplines: applied mathematics, physics, computer science or engineering. Knowledge of biology, neuroscience and ability to work with data is highly desired. Candidates will be trained in model building, analysis and will be offered advanced training in neuroscience and cognitive psychology. Candidates will have an opportunity to develop independent research projects and collaborations under the direction of the group leading scientists. The TNG is a structural part of the HSE?s Centre for Cognition & Decision Making with ample collaboration opportunities within the Centre with other research groups, both within Russia and internationally. This new international group is tightly linked with the Group for Neural Theory at the Ecole Normale Superior in Paris, where research internships and visiting positions can be made available. Application Process Applications must be submitted online. Please provide a CV, a statement of research interest and a recent research paper submitted via an online application form. At least two letters of recommendation should be sent directly to the International Faculty Recruitment Office at fellowship at hse.ru before the application deadline. Please note that direct applications to the hiring department may not be reviewed. More information can be also obtained from boris.gutkin at hse.ru -------------- next part -------------- An HTML attachment was scrubbed... URL: From rava at ens.fr Sun Dec 29 10:13:05 2019 From: rava at ens.fr (Rava A. da Silveira) Date: Sun, 29 Dec 2019 16:13:05 +0100 Subject: Connectionists: PhD AND POSTDOC POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT ENS, PARIS Message-ID: *Several DOCTORAL and POSTDOCTORAL openings in the lab of RAVA AZEREDO DA SILVEIRA at the Ecole Normale Sup?rieure, Paris* We invite applications for several Ph.D. and postdoctoral positions at the Ecole Normale Sup?rieure, in Paris. Research questions will be chosen from a broad range of topics in theoretical/computational neuroscience and cognitive science (see the description of the lab?s activity, below). Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. Doctoral and postdoctoral salaries will be competitive, appreciably higher than standard French salaries. The ENS, together with a number of neighboring institutions (College de France, Institut Curie, ESPCI, Sorbonne Universit?, and Institut Pasteur), offers a rich scientific and intellectual environment, with a strong representation in computational neuroscience and related fields. *Deadline:* For full consideration, please apply by 30 January 2020. *How to apply:* Please send a letter of motivation, a statement of research interests limited to two pages, a curriculum vitae including a list of publications, and any relevant publications to rava at ens.fr, and arrange for three letters of recommendations to be sent to the same address. In all email correspondence, please include the mention ?APPLICATION-PARIS-PHD? or ?APPLICATION-PARIS-POSTDOC? in the subject header, otherwise the application will not be considered. *Description of the lab?s activity:* Rava Azeredo da Silveira?s lab focuses on a range of topics in theoretical and computational neuroscience and cognitive science. These topics, however, are tied together through a central question: How does the brain represent and manipulate information? Among the more concrete approaches to this question, the lab analyses and models neural activity in circuits that can be identified, recorded from, and perturbed experimentally, such as visual neural circuits in the retina and the cortex. Establishing links between physiological specificity and the structure of neural activity yields an understanding of circuits as building blocks of cerebral information processing. On a more abstract level, the lab investigates the representation of information in populations of neurons, from a statistical and algorithmic -- rather than mechanistic -- point of view, through theories of coding and data analyses. These studies aim at understanding the statistical nature of high-dimensional neural activity in different conditions, and how this serves to encode and process information from the sensory world. In the context of cognitive studies, the lab investigates mental processes such as inference, learning, and decision-making, through both theoretical developments and behavioral experiments. A particular focus is the study of neural constraints and limitations and, further, their impact on mental processes. Neural limitations impinge on the structure and variability of mental representations, which in turn inform the cognitive algorithms that produce behavior. The lab explores the nature of neural limitations, mental representations, and cognitive algorithms, and their interrelations. -------------- next part -------------- An HTML attachment was scrubbed... URL: From rava at ens.fr Sun Dec 29 10:37:03 2019 From: rava at ens.fr (Rava A. da Silveira) Date: Sun, 29 Dec 2019 16:37:03 +0100 Subject: Connectionists: PhD AND POSTDOC POSITIONS IN COMPUTATIONAL NEUROSCIENCE IN BASEL, SWITZERLAND Message-ID: *Several DOCTORAL and POSTDOCTORAL openings in the lab of RAVA AZEREDO DA SILVEIRA at the IOB, University of Basel* We invite applications for several Ph.D. and postdoctoral positions at the IOB, University of Basel, in Switzerland. Research questions will be chosen from a broad range of topics in theoretical/computational neuroscience and cognitive science (see the description of the lab?s activity, below). Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. Doctoral and postdoctoral salaries will be highly competitive. *Deadline* For full consideration, please apply by 30 January 2020. *How to apply* Please send a letter of motivation, a statement of research interests limited to two pages, a curriculum vitae including a list of publications, and any relevant publications to rava at iob.ch, and arrange for three letters of recommendations to be sent to the same address. In all email correspondence, please include the mention ?APPLICATION-BASEL-PHD? or ?APPLICATION-BASEL-POSTDOC? in the subject header, otherwise the application will not be considered. *Description of the lab?s activity* Rava Azeredo da Silveira?s lab focuses on a range of topics in theoretical and computational neuroscience and cognitive science. These topics, however, are tied together through a central question: How does the brain represent and manipulate information? Among the more concrete approaches to this question, the lab analyses and models neural activity in circuits that can be identified, recorded from, and perturbed experimentally, such as visual neural circuits in the retina and the cortex. Establishing links between physiological specificity and the structure of neural activity yields an understanding of circuits as building blocks of cerebral information processing. On a more abstract level, the lab investigates the representation of information in populations of neurons, from a statistical and algorithmic -- rather than mechanistic -- point of view, through theories of coding and data analyses. These studies aim at understanding the statistical nature of high-dimensional neural activity in different conditions, and how this serves to encode and process information from the sensory world. In the context of cognitive studies, the lab investigates mental processes such as inference, learning, and decision-making, through both theoretical developments and behavioral experiments. A particular focus is the study of neural constraints and limitations and, further, their impact on mental processes. Neural limitations impinge on the structure and variability of mental representations, which in turn inform the cognitive algorithms that produce behavior. The lab explores the nature of neural limitations, mental representations, and cognitive algorithms, and their interrelations. -------------- next part -------------- An HTML attachment was scrubbed... URL: From yael at Princeton.EDU Sun Dec 29 21:30:09 2019 From: yael at Princeton.EDU (Yael Niv) Date: Mon, 30 Dec 2019 02:30:09 +0000 Subject: Connectionists: Early registration CLOSING for The Batsheva de Rothschild Workshop on Computational Psychiatry In-Reply-To: References: <8A1DD017-B82C-4A7E-A791-B2E64560AA95@princeton.edu> Message-ID: <4192C00E-9EB3-4D51-B873-360A79E9596B@princeton.edu> (please distribute) ======================================================= The Batsheva de Rothschild Workshop on Computational Psychiatry https://israelcomppsych.princeton.edu January 29-30, 2020, Geha Mental Health Center, Petach Tikva, Israel Organizers: Eran Eldar, Ronny Geva, Yael Niv, Gal Shoval ======================================================= Important dates: Poster submission CLOSED: Dec 26, 2019 (midnight, Israel time) Early (reduced) registration closes: Dec 31, 2019 (midnight, Israel time) Registration closes: Jan 10, 2020 (midnight, Israel time) To register, go to https://israelcomppsych.princeton.edu/registration/ -- only 2 more days for early registration! The burdens of mental illness on both individuals and society are painful and immense. Yet psychiatry is in a crisis, as the development of new treatments has stalled. A large part of the problem is that the diagnosis of mental illnesses is based on self-reported symptoms rather than quantifiable laboratory tests. Mental health is the only domain of medicine that lacks such tests, largely because of the sore absence of a biological foundation. One area of neuroscience that has seen tremendous progress in the last two decades is computational cognitive neuroscience ? the computational and neural understanding of the processes that link reward, evaluation, affect, memory and decision making ? the exact processes that are impaired in psychopathology. This has led to the creation of a new field of research: ?computational psychiatry?. This meeting brings together leading researchers in this novel field, from Israel and abroad, as well as clinicians whose research is theory-driven and who are interested in collaborating with computational neuroscientists. The goal is to spur research in computational psychiatry in Israel (already home to some pioneers in the field) and to provide a setting that will be conducive to creating new international collaborations that have a potential to lead to breakthroughs in our understanding and treatment of mental disorders. Sponsored by Geha Mental Health Center, The Israel Academy of Sciences and Humanities ? The Batsheva de Rothschild Fund for the Advancement of Science in Israel, an unrestricted grant from Janssen Pharmaceuticals, and in collaboration with the Israeli Society for Biological Psychiatry (ISBP). -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.ciaramella at uniparthenope.it Mon Dec 30 04:01:43 2019 From: angelo.ciaramella at uniparthenope.it (Angelo Ciaramella) Date: Mon, 30 Dec 2019 10:01:43 +0100 Subject: Connectionists: CfP - SS on "Inference systems: Fuzzy and Neuro Fuzzy perspectives" (FUZZ-IEEE @ WCCI2020) Message-ID: <20191230100143.Horde.u1c1dB_TlJl4gaiPXHs5lw1@webmail.uniparthenope.it> ... Apologize for multiple posting ... ------------------------------------------------------------------------------- Special Session on "Inference systems: Fuzzy and Neuro Fuzzy perspectives" 2020 IEEE International Conference on Fuzzy Systems (Fuzz-IEEE) @ World Congress on Computational Intelligence July 19-24 2020, Glasgow, UK (https://wcci2020.org) ------------------------------------------------------------------------------- Website of the call for papers https://sites.google.com/view/cisslabssfuzzieee/home Important Dates Paper submission: 15 January 2020 Notification of acceptance: 15 March 2020 Aims and Scope In the field of Artificial Intelligence, an inference engine is a component of decision systems that applies logical rules to the knowledge base to deduce new information. Fuzzy inference systems represent an important part of Soft Computing for implementing fuzzy reasoning and in these last years a great interest has been devoted to adaptive neural-based models, especially with a deep structure. Fuzzy Inference systems have been successfully applied in fields such as automatic control, data classification, risk assessment, recommendation systems, decision analysis, expert systems, cybersecurity, signal processing and computer vision. From recent researches inference systems have been emerging as powerful tools to mine, interpret and infer data and promise to pave the way for ever more techniques to take on this challenge. The aim of the special session is to host recent research advances in the field of inference systems based on Fuzzy and Neural-based Fuzzy models and to highlight research issues and still open questions. Potential topics include Soft Computing methodologies (but are not limited to): -Fuzzy Logic -Type-1 and Type-2 Fuzzy Inference Systems -Approximate Reasoning -Neutrosophic logic -Rough-Sets -Neuro-Fuzzy Systems -Evolving Fuzzy Systems -Granular Computing -Deep Neural Networks when applied to: -automatic control -data classification -risk assessment -recommendation systems -decision analysis -expert systems -signal processing -computer vision -cybersecurity -Medicine -GIS Furthermore, software tools designed for addressing any of the above topics, might be also considered relevant for the special session. Submission - For paper guidelines please visit https://wcci2020.org/submissions/ - For submissions please select the single topic "Inference systems: Fuzzy and Neuro Fuzzy perspectives" from the "Special Sessions" category as the main research topic on https://wcci2020.org/fuzz-sessions/ Organisers - Angelo Ciaramella, Universit? degli Studi di Napoli "Parthenope" - Giovanni Acampora, Universit? degli Studi di Napoli "Federico II" - Le Hoang Son, Vietnam National University, Hanoi - Antonino Staiano, Universit? degli Studi di Napoli "Parthenope" Contact Angelo Ciaramella, angelo.ciaramella at uniparthenope.it --------------------------------------------- - Angelo Ciaramella, Ph.D - Associate Professor in Computer Science - DiST, Dipartimento di Scienze e Tecnologie - Universit? degli Studi di Napoli "Parthenope" - Room 431, Isola C4, Centro Direzionale - I-80143 Napoli, ITALY - Tel.: 0815476674 From kordjams at msu.edu Mon Dec 30 23:02:46 2019 From: kordjams at msu.edu (Kordjamshidi, Parisa) Date: Tue, 31 Dec 2019 04:02:46 +0000 Subject: Connectionists: Postdoctoral position in Machine learning/Natural language processing Message-ID: <8352F1E6-1698-45CA-A9A0-F954B2A0409E@msu.edu> Dear all, The Department of Computer Science and Engineering (CSE) at Michigan State University invites applications from outstanding candidates for a post-doctoral research in the area of machine learning and natural language processing. The successful candidate will work with Dr. Kordjamshidi and Heterogeneous Learning and Reasoning research team on the development of structured learning techniques and models for the integration of domain knowledge in learning. The goal is to integrate various learning and reasoning paradigms to solve problems in the area of Natural Language Processing and Combining Vision and Language modalities. The position can start from January 2020 and, it is for two years with the possibility of extensions. Please see more information and the link to the application here: https://careers.msu.edu/en-us/job/502850/research-associatefixed-term, (Job no: 623836). I welcome any inquiries about the position, please email me at kordjams at msu.edu. Best wishes, Parisa ------------------------------------------------ Kordjamshidi, Parisa Assistant Professor Computer Science and Engineering Michigan State University http://www.cse.msu.edu/~kordjams/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From akdezfuli at gmail.com Tue Dec 31 07:06:19 2019 From: akdezfuli at gmail.com (Amir Dezfouli) Date: Tue, 31 Dec 2019 23:06:19 +1100 Subject: Connectionists: Postdoctoral Fellowship in Machine Learning and Artificial Intelligence at CSIRO, Australia Message-ID: CSIRO?s Data61 is seeking to appoint two CSIRO Postdoctoral Fellows for their Machine Learning and Artificial Intelligence: Decision Making area. Location: Sydney NSW or Brisbane QLD Australia Salary: AU$83k - AU$94k plus up to 15.4% superannuation Tenure: Specified term of 3 years More information is available at the below link: https://jobs.csiro.au/job/Brisbane%2C-QLD-CSIRO-Postdoctoral-Fellowship-Machine-Learning-and-Artificial-Intelligence-Decision-Making/615893500/ -------------- next part -------------- An HTML attachment was scrubbed... URL: