From benoit.frenay at unamur.be Wed Aug 1 07:07:48 2018 From: benoit.frenay at unamur.be (=?UTF-8?B?QmVub8OudCBGcsOpbmF5?=) Date: Wed, 1 Aug 2018 13:07:48 +0200 Subject: Connectionists: PhD positions at University of Namur Message-ID: *** Several PhD studentships are available on *** *** Software engineering and software quality assurance for learning systems *** University of Namur // Namur Digital Institute (NADI) Supervisors: Patrick Heymans, Pierre-Yves Schobbens, Beno?t Frenay and Gilles Perrouin. The studentships are available immediately. Applications are continuously reviewed until positions are filled. Positions involve developing and studying solutions to improve the engineering and quality assurance (testing, verification...) of software that?learns and adapts its behavior accordingly. The successful candidates will join the stimulating research environment provided by NADI and the?VeriLearn project, an ambitious inter-university project funded by the Belgian research foundations (FNRS and FWO) and conducted jointly?with KUL (team of Luc De Raedt) and ULB (team of Jean-Fran?ois Raskin). We are looking for motivated candidates, determined to graduate within 4 years and to publish their results in the best conferences and journals.?Candidates should hold a Master or Engineering degree in Computer Science, or equivalent. They should have affinity with one or more of the?following topics: software engineering, quality assurance (testing, verification...), formal methods and machine learning. PhD students earn between 1.900 and 2.000 EUR net salary per month. Positions are based in Namur, Belgium. Namur is the capital of Wallonia, the french-speaking region of Belgium. ?It is a charming and affordable?midsize city situated 45 min south from Brussels and within 3 hours from the Paris, London, Amsterdam and Bonn. For more information on the research and the position, please contact benoit.frenay at unamur.be, including a copy of your CV if possible.??Formal applications require providing (1) a full CV (including a publication list if any), (2) a cover letter of max 2 pages describing your skills,?experience, and why you are well suited to the position, (3) a transcript with the grades obtained for each course you took on each university?year, (4) optional recommendation letters (up to three). Please use ?'VERILEARN APPLICATION'? as the subject of your email. We promote diversity in employment and welcome applications from all sections of the community. -- Beno?t FR?NAY Associate Professor Faculty of Computer Science T. +32 (0)81 724 976 (secr. 725 252) F. +32 (0)81 724 967 benoit.frenay at unamur.be Universit? de Namur ASBL Rue de Bruxelles 61 - 5000 Namur Let?s respect the environment together. Only print this message if necessary! -------------- next part -------------- An HTML attachment was scrubbed... URL: From adina.roskies at dartmouth.edu Wed Aug 1 10:43:41 2018 From: adina.roskies at dartmouth.edu (adina roskies) Date: Wed, 1 Aug 2018 14:43:41 +0000 Subject: Connectionists: Postdoctoral researcher in Cognitive Science Message-ID: Postdoctoral researcher in Cognitive Science Location: Hanover, NH Position URL: apply.interfolio.com/52751 Position Description The Cognitive Science Program at Dartmouth College invites applications for a postdoctoral position, in a cognate discipline such as Linguistics, Philosophy, Computer Science, or Psychology or Neuroscience. The position would involve teaching 2 courses (10 weeks each) plus some administrative duties in the fledgling cognitive science program (primarily undergraduate advising), but would leave ample time for your own research. This is a two year position beginning September 1, 2018 or as soon as feasible. Candidates should have a PhD or be ABD, and strong research record in some area of cognitive science, as well as an ability to teach cross-disciplinary cognitive science courses to undergraduates. We seek applicants with a record of successful teaching and mentoring of students from all backgrounds (including first-generation college students, low-income students, racial and ethnic minorities, women, LGBTQ, etc.). Dartmouth College, a member of the Ivy League, is located in Hanover, New Hampshire. Dartmouth has a beautiful, historic campus, located in a scenic area on the Connecticut River. Recreational opportunities abound all year. The program (cognitive-science.dartmouth.edu) is in the School of Arts and Sciences, with abundant collegial interaction among faculty across multiple departments and schools. Application Instructions Applicants should submit cover letter, curriculum vitae, one piece of written work, and three letters of reference. Candidates should apply to https://apply.interfolio.com/52751 . Review of applications will begin immediately. Questions regarding the application process should be directed to Elizabeth Cassell (Liz.Cassell at dartmouth.edu) -------------- next part -------------- An HTML attachment was scrubbed... URL: From visigrapp at insticc.info Thu Aug 2 06:01:11 2018 From: visigrapp at insticc.info (visigrapp at insticc.info) Date: 2 Aug 2018 11:01:11 +0100 Subject: Connectionists: CFP VISAPP 2019 - 14th Int.l Conf. on Computer Vision Theory and Applications (Prague/Czech Republic) Message-ID: <20180802100112.1.8F94B8C0FC7CD61E@insticc.info> SUBMISSION DEADLINE 14th International Conference on Computer Vision Theory and Applications Submission Deadline: October 1, 2018 http://www.visapp.visigrapp.org/ February 25 - 27, 2019 Prague, Czech Republic. VISAPP is organized in 5 major tracks: - Image Formation and Preprocessing - Image and Video Analysis - Image and Video Understanding - Applications and Services - Motion, Tracking and Stereo Vision Proceedings will be submitted for indexation by: DBLP, Thomson Reuters, EI, SCOPUS and Semantic Scholar.
With the presence of internationally distinguished keynote speakers: Daniel McDuff, Microsoft, United States Diego Gutierrez, Universidad de Zaragoza, Spain Jiri Matas, Czech Technical University in Prague, Faculty of Electrical Engineering, Czech Republic Dima Damen, University of Bristol, United Kingdom Stefano Baldassi, Meta Company, United States A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, VISAPP Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 100 033 Fax: +351 265 520 186 Web: http://www.visapp.visigrapp.org/ e-mail: visapp.secretariat at insticc.org From complexis at insticc.info Thu Aug 2 06:02:30 2018 From: complexis at insticc.info (complexis at insticc.info) Date: 2 Aug 2018 11:02:30 +0100 Subject: Connectionists: CFP COMPLEXIS 2019 - 3rd Int.l Conf. on Complexity, Future Information Systems and Risk (Heraklion, Crete/Greece) Message-ID: <20180802100231.1.79F3EB5B857EFB88@insticc.info> SUBMISSION DEADLINE 3rd International Conference on Complexity, Future Information Systems and Risk Submission Deadline: December 10, 2018 http://www.complexis.org/ May 2 - 4, 2019 Heraklion, Crete, Greece. COMPLEXIS is organized in 7 major tracks: - Complexity in Informatics, Automation and Networking - Complexity in Biology and Biomedical Engineering - Complexity in Social Sciences - Complexity in Computational Intelligence and Future Information Systems - Complexity in EDA, Embedded Systems, and Computer Architecture - Network Complexity - Complexity in Risk and Predictive Modeling Proceedings will be submitted for indexation by: DBLP, Thomson Reuters, EI, SCOPUS and Semantic Scholar.
With the presence of internationally distinguished keynote speakers: Francisco Herrera, University of Granada, Spain A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, COMPLEXIS Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.complexis.org/ e-mail: complexis.secretariat at insticc.org From iceis at insticc.info Thu Aug 2 06:02:13 2018 From: iceis at insticc.info (iceis at insticc.info) Date: 2 Aug 2018 11:02:13 +0100 Subject: Connectionists: CFP ICEIS 2019 - 21st Int.l Conf. on Enterprise Information Systems (Heraklion, Crete/Greece) Message-ID: <20180802100215.1.5F44A8A4A3734DCD@insticc.info> SUBMISSION DEADLINE 21st International Conference on Enterprise Information Systems Submission Deadline: December 10, 2018 http://www.iceis.org/ May 3 - 5, 2019 Heraklion, Crete, Greece. ICEIS is organized in 6 major tracks: - Databases and Information Systems Integration - Artificial Intelligence and Decision Support Systems - Information Systems Analysis and Specification - Software Agents and Internet Computing - Human-Computer Interaction - Enterprise Architecture Proceedings will be submitted for indexation by: DBLP, Thomson Reuters, EI, SCOPUS and Semantic Scholar.
A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, ICEIS Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.iceis.org/ e-mail: iceis.secretariat at insticc.org From biostec at insticc.info Thu Aug 2 06:01:22 2018 From: biostec at insticc.info (biostec at insticc.info) Date: 2 Aug 2018 11:01:22 +0100 Subject: Connectionists: CFP BIOSTEC 2019 - 12th Int.l Joint Conf. on Biomedical Engineering Systems and Technologies (Prague/Czech Republic) Message-ID: <20180802100124.1.B6A3E41A906B8D43@insticc.info> SUBMISSION DEADLINE 12th International Joint Conference on Biomedical Engineering Systems and Technologies Submission Deadline: October 1, 2018 http://www.biostec.org/ February 22 - 24, 2019 Prague, Czech Republic. Proceedings will be submitted for indexation by: DBLP, Thomson Reuters, EI, SCOPUS and Semantic Scholar.
With the presence of internationally distinguished keynote speakers: Hossam Haick, Israel Institute of Technology, Israel Andres Diaz Lantada, Universidad Politecnica de Madrid, Spain Henrique Martins, Universidade da Beira Interior, Portugal A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, BIOSTEC Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 185 Fax: +351 265 520 186 Web: http://www.biostec.org/ e-mail: biostec.secretariat at insticc.org From icaart at insticc.info Thu Aug 2 06:01:42 2018 From: icaart at insticc.info (icaart at insticc.info) Date: 2 Aug 2018 11:01:42 +0100 Subject: Connectionists: CFP ICAART 2019 - 11th Int.l Conf. on Agents and Artificial Intelligence (Prague/Czech Republic) Message-ID: <20180802100143.1.719D96C7B89E65FF@insticc.info> SUBMISSION DEADLINE 11th International Conference on Agents and Artificial Intelligence Submission Deadline: October 1, 2018 http://www.icaart.org/ February 19 - 21, 2019 Prague, Czech Republic. ICAART is organized in 2 major tracks: - Agents - Artificial Intelligence Proceedings will be submitted for indexation by: DBLP, Thomson Reuters, EI, SCOPUS and Semantic Scholar.
With the presence of internationally distinguished keynote speakers: Penousal Machado, University of Coimbra, Portugal Carla P. Gomes, Cornell University, United States Michal Pechoucek, Czech Technical University in Prague, Czech Republic Lambert Schomaker, University of Groningen, Netherlands A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, ICAART Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 185 Fax: +351 265 520 186 Web: http://www.icaart.org/ e-mail: icaart.secretariat at insticc.org From icpram at insticc.info Thu Aug 2 06:02:02 2018 From: icpram at insticc.info (icpram at insticc.info) Date: 2 Aug 2018 11:02:02 +0100 Subject: Connectionists: CFP ICPRAM 2019 - 8th Int.l Conf. on Pattern Recognition Applications and Methods (Prague/Czech Republic) Message-ID: <20180802100203.1.B694E2E801F83B50@insticc.info> SUBMISSION DEADLINE 8th International Conference on Pattern Recognition Applications and Methods Submission Deadline: October 1, 2018 http://www.icpram.org/ February 19 - 21, 2019 Prague, Czech Republic. ICPRAM is organized in 2 major tracks: - Theory and Methods - Applications Proceedings will be submitted for indexation by: DBLP, Thomson Reuters, EI, SCOPUS and Semantic Scholar.
With the presence of internationally distinguished keynote speakers: Linda G. Shapiro, University of Washington, United States Bram van Ginneken, Radboud University Medical Center, Netherlands Michal Irani, Weizmann Institute of Science, Israel Davide Maltoni, University of Bologna, Italy A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, ICPRAM Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 185 Fax: +351 265 520 186 Web: http://www.icpram.org/ e-mail: icpram.secretariat at insticc.org From luigi.malago at gmail.com Thu Aug 2 14:21:45 2018 From: luigi.malago at gmail.com (=?UTF-8?Q?Luigi_Malag=C3=B2?=) Date: Thu, 2 Aug 2018 21:21:45 +0300 Subject: Connectionists: Postdoc position in Geometric Methods for Deep and Reinforcement Learning at RIST Message-ID: =========================================================== *Subject*: Postdoc position in Machine Learning (1 year, renewable up to 2 years) *Institution*: RIST - Romanian Institute of Science and Technology, Cluj-Napoca *Keywords*: Deep Learning, Reinforcement Learning, Stochastic Optimization, Optimization over Manifolds, Information Geometry, Riemannian Geometry *Application deadline*: 15 August 2018 (applicants are encouraged to apply earlier) *Salary*: around 2200 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc-positio ns-in-deep-learning-and-machine-learning.html =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, in the context of the DeepRiemann project ?Riemannian Optimization Methods for Deep Learning?, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 2 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group https://rist.ro/en/teams.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, using geometric methods based on Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in-deep-lea rning-and-machine-learning.html Informal inquiries can be sent to Dr. Luigi Malag? , principal investigator of the DeepRiemann project. Application deadline: 15 August 2018 (applicants are encouraged to apply earlier) best regards, Luigi Malag? -------------- next part -------------- An HTML attachment was scrubbed... URL: From christoph.w.korn at gmail.com Fri Aug 3 06:19:09 2018 From: christoph.w.korn at gmail.com (Christoph Korn) Date: Fri, 3 Aug 2018 12:19:09 +0200 Subject: Connectionists: One postdoc and two PhD positions in Emmy-Noether group "Decision Neuroscience of Human Cooperation" in Hamburg, Germany Message-ID: Dear all, I would be very grateful, if you could circulate the following job announcements. One postdoc and two PhD positions are available within the newly funded Emmy-Noether research group "Decision Neuroscience of Human Cooperation" led by Christoph Korn. *Research topic and group:* The group's aim is to investigate the decision-making and learning processes relevant for successful social cooperation between humans. The planned projects rely on a variety of theoretical and methodological approaches including computational modeling of behavioral data, evolutionary game theory, model-based and multivariate analyses of fMRI data, pupillometry, virtual reality, and testing of psychiatric patients. The group is based at the Institute of Systems Neuroscience (head: Prof. Christian B?chel) at the University Medical Center Hamburg-Eppendorf in Hamburg, Germany. Psychiatric patients are tested in collaboration with Sabine Herpertz and her lab at the Heidelberg University Hospital. You can find more information here: http://christoph-korn.net/ *What the group offers:* - Opportunity to get hands-on supervision for learning various data acquisition and analysis techniques - Dynamic, interdisciplinary, and international research environment within the Institute of Systems Neuroscience - Research-dedicated T3 MR scanner (PRISMA), eye-tracking and VR laboratories, excellent infrastructure for behavioral testing - Multiple training opportunities within the institute (e.g., https://goo.gl/pU44vP) - Possibility to join the local graduate school, which is a member of national and international networks - Possibility of research stay with collaboration partners in the US *Your profile:* - You are interested in investigating how cooperation, decision-making, and learning relate to human brain activity and how they go awry in psychiatric disorders. - You like to design experiments, devise models, and analyze various types of data. - You have experience in conducting and analyzing behavioral experiments with human participants. - You are fluent in English. For the postdoc position and for one of the PhD positions, knowledge of German is not necessary. *Requirements for the postdoc position:* - A PhD (completed or close to the completion) in neuroscience, cognitive science, psychology, economics, medicine, or a related discipline. - Experience in conducting and analyzing neuroimaging experiments (including familiarity with SPM, FSL, or similar programs). - Experience in using programming languages such as Matlab, R, or Python. - Experience in writing and publishing peer reviewed scientific papers. *Requirements for the PhD positions:* - A Master of Science or an equivalent degree in neuroscience, cognitive science, psychology, economics, medicine, or a related discipline. - Experience in programming and in conducting or analyzing neuroimaging experiments is a big plus. - One of the PhD candidates will be (partly) based in Heidelberg to test psychiatric patients. This position is ideal for applicants with an interest in clinical psychiatry and requires knowledge of German to interact with patients. *Application and job specifications:* Applications will be accepted until the positions are filled. The first review of applications will be in the beginning of September 2018. Preferred starting date is January 2019 but later starting dates may be possible. Salary depends on experience and is based on German regulations (the postdoc position is remunerated with the factor 100%, the PhD positions with the factor 65%). The appointments will be initially for 3 years with the possibility for continuation. The group is committed to maintaining a diverse and inclusive environment. If you are interested, please send one pdf-document including your CV, a brief statement of research interest, and the contact details of two academic referees to *c.korn at uke.de *. Informal inquiries are welcome. Looking forward to hearing from you, Christoph -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tony.Pipe at brl.ac.uk Fri Aug 3 11:39:06 2018 From: Tony.Pipe at brl.ac.uk (Tony Pipe) Date: Fri, 3 Aug 2018 16:39:06 +0100 Subject: Connectionists: Research Fellow: Connected Autonomous Vehicles In-Reply-To: References: <60471384-2b1e-9217-367d-c103b704c214@brl.ac.uk> <4a00b1f1-5516-b963-b083-0fd631212022@brl.ac.uk> <3779ad6b-0e4b-3af2-4c2d-f856c3dde1be@brl.ac.uk> Message-ID: <11733dd4-2b54-5772-e92a-9f3693ccdedf@brl.ac.uk> Research Fellow: Connected Autonomous Vehicles Salary: ?32,548 - ?38,833 Duration of post: Fixed term period 1yr 0mths Closing date: 29 Aug 2018 About the post: The Bristol Robotics Laboratory (BRL) is currently a key partner in three Innovate UK-funded Connected Autonomous Vehicle (CAV) research and development projects. They each have a differing application focus but they are all aimed at bringing this exciting new technology closer to fruition in a safe and useful manner for society as a whole. These are grand aims, and there is a great deal of important theoretical, but especially carefully directed experimental work to be carried out at both technical and societal levels; the outcomes need to be both technically correct and also acceptable to society. The work to be carried out in these projects is wide ranging, from conducting probing questionnaire-led participant interviews to experiments in a comprehensive vehicle simulator and in a variety of real-world roadway and pedestrian-area prototype autonomous vehicle trials. An essential part of the post holder's role will be to undertake software design and programming of the BRL CAV simulator, and some aspects of the real vehicles as required, with support from others. All of this work needs careful coordination, and this will be a major part of the tasks for the person taking this post. Apart from taking a key role in running the existing projects, there is a highly active process of bidding for new CAV projects, and helping to lead this activity will be another crucial role. Applicants must be working towards completion, or have completed a PhD in Robotics and Autonomous Systems (RAS) or an appropriate technical topic that can be transferred to CAV design and development. A recognised English language qualification is required. How to apply: Download and complete the Graduate School studentship application form and send it directly to the UWE Bristol Graduate School. Please ensure you include the title of the research project you propose to undertake, and detail why you are interested in undertaking this PhD project and what relevant knowledge, experience and qualifications you would bring to the research. Please see the Graduate School studentship application guidance notes for further information about how to complete the application form. Please also complete the Equal Opportunities monitoring form and complete the first section of the Graduate School application reference sheet before sending to your nominated referees. Further information For the full advert please refer to the following link: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?amNvZGU9MTcyODYxOCZvd25lcj01MDU1Mjc4Jm93bmVydHlwZT1mYWlyJnBvc3RpbmdfY29kZT00OTcmdnRfdGVtcGxhdGU9MTUzOA&jcode=1728618&owner=5055278&ownertype=fair&posting_code=497&vt_template=1538 -- Tony Pipe Professor of Robotics and Autonomous Systems Deputy Director: Bristol Robotics Laboratory Bristol Robotics Laboratory T-Building Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 From liufengchaos at gmail.com Fri Aug 3 10:21:29 2018 From: liufengchaos at gmail.com (Feng Liu) Date: Fri, 3 Aug 2018 10:21:29 -0400 Subject: Connectionists: [Deadline Extended] Call for Papers -- Brain Informatics 2018 Message-ID: [Apologies if you receive this more than once] Deadline Extended -- CALL FOR PAPERS The 11th International Conference on Brain Informatics (BI'18) December 7-9, 2018, Arlington, Texas, USA Homepage: https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Futa.engineering%2Fconferences%2Fbi-2018%2F&data=02%7C01%7Cfeng.liu%40mavs.uta.edu%7Ce8add1649f55486abf2108d5f945522e%7C5cdc5b43d7be4caa8173729e3b0a62d9%7C0%7C0%7C636688998477384417&sdata=LaWNa9O%2FgxsQcuDkdIOkW8dZWscgBCjOQZxOJfku1nQ%3D&reserved=0 ---Advancing BI Technologies from Basic Science Research to Real-World Practice--- ============================================== August 10, 2018: Papers submission deadline (Extended) September 15, 2018: Abstract submission deadline ============================================== The International Conference on Brain Informatics series (BI) has established itself as the world?s premier research forum that brings together researchers and practitioners from neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies with the purpose of exploring the fundamental roles, interactions as well as practical impacts of Brain Informatics. The BI'18 will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings, and strategies in brain informatics research and brain-inspired concepts and technologies. It welcomes emerging technologies for addressing fundamental neurobiological questions about healthy brain function, laying the groundwork for advancing treatments for brain disorders or injury, and for generating brain-inspired "smart" artificial intelligence and computing technologies to meet future societal needs. It will educate and expand the brain informatics workforce and create new career opportunities for brain research and related innovations. The BI'18 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be peer-reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI ( https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.springer.com%2Fus%2Fbook%2F9783319707716&data=02%7C01%7Cfeng.liu%40mavs.uta.edu%7Ce8add1649f55486abf2108d5f945522e%7C5cdc5b43d7be4caa8173729e3b0a62d9%7C0%7C0%7C636688998477384417&sdata=p5UO7%2FdWickT2IX5yp3TbMMn%2BxGEcLjGUemI7Ru6UQQ%3D&reserved=0 ). Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series ( https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.springer.com%2Fseries%2F15148&data=02%7C01%7Cfeng.liu%40mavs.uta.edu%7Ce8add1649f55486abf2108d5f945522e%7C5cdc5b43d7be4caa8173729e3b0a62d9%7C0%7C0%7C636688998477384417&sdata=OwwcIK%2B5gl7ZLk81y0uHpaZOofmTuHRmh2atoQXbsg8%3D&reserved=0 ). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing IMPORTANT DATES: ================ August 10, 2018: Papers submission deadline (Extended) August 30, 2018: Notification of paper acceptance September 15, 2018: Abstract submission deadline December 7, 2018: Workshops & Special Sessions December 8-9, 2018: Main conference PAPER SUBMISSIONS & PUBLICATIONS: ================================= TYPE-I (Full Paper Submissions): Papers need to have up to 10 pages in LNCS format: https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.springer.com%2Fcomputer%2Flncs%3FSGWID%3D0-164-6-793341-0&data=02%7C01%7Cfeng.liu%40mavs.uta.edu%7Ce8add1649f55486abf2108d5f945522e%7C5cdc5b43d7be4caa8173729e3b0a62d9%7C0%7C0%7C636688998477394417&sdata=Zkr1ytZip8ofIRlzGKAm6srkUycr35x5NUlaVGanMhk%3D&reserved=0 All full length papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. TYPE-II (Abstract Submissions): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference". The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. *** Post-Conference Journal Publications *** The Brain Informatics conferences have the formal ties with the Open Access Brain Informatics journal (Springer-Nature, https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.springer.com%2F40708&data=02%7C01%7Cfeng.liu%40mavs.uta.edu%7Ce8add1649f55486abf2108d5f945522e%7C5cdc5b43d7be4caa8173729e3b0a62d9%7C0%7C0%7C636688998477394417&sdata=wVBGTJL7OwrKbvclYCVEosQWmTDwUEt4HXwAUp1np0A%3D&reserved=0 ). Accepted full papers will be selected to publish in the Open Access Brain Informatics Journal upon revision. No article-processing fee will be charged for authors of Brain Informatics conference. *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ORGANIZERS ========== General Chairs Tom Mitchell (Carnegie Mellon University, USA) Leon Iasemidis (Louisiana Tech, University, USA) Ning Zhong (Maebashi Institute of Technology, Japan) Program Committee Chairs Jianzhong Su (University of Texas at Arlington, USA) Vicky Yamamoto (University of South California, USA) Yu-Ping Wang (Tulane University, USA) Organizing Chairs Shouyi Wang (University of Texas at Arlington, USA) Erick Jones (University of Texas at Arlington, USA) Fenghua Tian (University of Texas at Arlington, USA) Workshop/Special-Session Chairs Chou, Chun-An (Northwestern University, USA) Xiangnan Kong (Worcester Polytechnic Institute, USA) Felicia Jefferson (Fort Valley State University, USA) Jing Qin (Montana State University, USA) Panel/Tutorial Chairs Yang Yang (Maebashi Institute of Technology, Japan/Beijing Advanced Innovation Center for Future Internet Technology, China) Vassiliy Tsytsarev (University of Maryland, USA) Publicity Chairs Paul Wen (University of Southern Queensland, Australia) Huiguang He (Chinese Academy of Sciences, China) Mufti Mahmud (University of Padova, Italy) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** Shouyi Wang Email: shouyiw at uta.edu Vicky Yamamoto Email: Vicky.Yamamoto at med.usc.edu Yang Yang Email: yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Fri Aug 3 09:17:29 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Fri, 3 Aug 2018 16:17:29 +0300 Subject: Connectionists: ENTER 2019 eTourism Conference: Fourth Call for Papers In-Reply-To: <0B8845F2-4D38-4F72-883C-8011F7853750@cs.ucy.ac.cy> References: <0B8845F2-4D38-4F72-883C-8011F7853750@cs.ucy.ac.cy> Message-ID: <661201BE-6D0D-4C29-B078-E681845BDE26@cs.ucy.ac.cy> ENTER 2019: The 26th Annual eTourism Conference "eTourism: Towards a Sustainable Digital Society" Hilton Cyprus, Nicosia, Cyprus, 30 January - 1 February, 2019 https://www.enter2019.org *** Fourth Call for Research Papers *** (Proceedings published by Springer - Journal special issue in JITT, Springer) Every year, hundreds of tourism academics, industry representatives, government officials, students and entrepreneurs come together to share, discuss and challenge latest developments in information technology in the fields of travel, tourism and hospitality. With the theme "eTourism: Towards a Sustainable Digital Society" the ENTER 2019 conference will focus on exploring the ways in which technology and tourism together can make our society more sustainable. We call for latest research and case studies on emergent and cutting-edge information and communication technology concepts, applications, and business models to be shared in the conference. Organized by the International Federation for Information Technology and Travel & Tourism (IFITT), the ENTER 2019 conference provides a unique venue for various tourism stakeholders to understand the application of information and communication technologies to travel and tourism, with a special focus on how eTourism can contribute to the sustainability of the society. The ENTER 2019 research track is divided into three major topics that all contribute to our capabilities in building a sustainable digital society: Tourism Business and Technology, Governance, Sustainability and Education, and Computer Science and Information Systems. Issues to be covered at the conference include, but are not limited, to the following areas in the travel, tourism and hospitality context: Tourism Business and Technology ? ICT and Tourism Experience ? Augmented and Virtual Reality ? Platform Economy ? Website Design and Evaluation ? Digital Marketing and Social Media Strategies ? Digital Distribution and Social Selling ? Social Networking, Social Media and Social Inspiration ? Gaming and Gamification ? ICT Adoption and Value Creation ? E-strategy and eBusiness Models ? ICT for Innovation and Service Design ? Digital Nomads ? Consumer Behaviour in Digital Space ? Robotics and Automation in Travel and Hospitality Governance, Sustainability and Education ? ICT for Regional Development and Sustainability ? Advanced Distribution Systems and Strategies, Dynamic Packaging ? ICT-enabled Partnership and Collaboration ? E-Learning, Life-long Learning and MOOCs ? E-Government and Public Policy in Tourism ? Digital Divide and Socio-economic Development ? Privacy and Internet Security ? Legal, Ethical and Social Aspects of ICT Computer Science and Information Systems ? Big Data and Large-scale Systems ? Artificial Intelligence, Machine Learning and Deep Learning ? Data Mining, Analytics and Measurement ? Text and Concept Mining, Sentiment Analysis ? Recommender Systems and Personalization ? User Modeling and Decision Making ? Human-Computer Interaction ? Emotions and Personality-based Systems ? Social Network Analysis ? Location-based Services and Context-Aware Systems ? Mobile Services and Wearable Technologies ? Semantic Web, Tourism Ontologies and Linked Open Data ? Data Standards and Data Integration ? Travel Information Search and Retrieval ? Internet-of-Things ? Smart Destinations ? Travel Chatbots ? Blockchain and Other Emerging Technologies Welcoming Academics and the Industry The conference brings together the research community and industry, and it is organized in three streams, namely industry track, destinations track, and research track. If you are representing tourism industry or destinations, please see suitable calls for presentations at https://www.enter2019.org . The conference also features six to eight world-class keynote speakers discussing the most pressing topics within eTourism. Location The 26th edition of ENTER will take place in Nicosia, Cyprus. Nicosia is the capital of Cyprus; a status it has enjoyed for 1000 years since the 10th century, though its beginnings date back 5000 years to the Bronze Age. Nicosia is a sophisticated and cosmopolitan city, rich in history and culture that combines its historic past with the amenities of a modern city. Cyprus is an island drenched in sun and mythology, at the crossroads of ancient civilizations. 9,000 years of history gathered on one island. Cyprus packs a remarkable array of sights and attractions, museums and archaeological parks, throbbing beach resorts, pine covered mountains, medieval fortresses and ancient temples. Over the last few years, it has become one of the top touristic European destinations breaking in consecutive years the record of tourist arrivals. It is expected that in 2018, more than 3.6 million tourists will visit Cyprus and plans target a steady intake of 5 million tourists per year. More information about Nicosia and Cyprus as well as what the island and its capital offer can be found on the conference web site. Call for Research Papers We invite research papers across the widest spectrum of Information and Communication Technologies in Travel and Tourism to be presented at the ENTER 2019 conference. All submissions to the research track are rigorously evaluated for novelty, significance, and soundness. Papers should clearly state the background, introduction, purpose, theory, methodology, results, conclusions and managerial/industry/social implications of the study, and be fully referenced with appropriate citations. The authors of full papers and research notes will have the opportunity to present their research orally supported by PowerPoint slides. Full technical details will be provided with the acceptance of the paper. The proceedings of recently held ENTER conferences are listed by ISI's Conference Proceedings Citation Index - Science (CPCI-S). ENTER 2019 proceedings will follow a similar indexing process for ISI and other major indices. A) Full Papers Full papers should be innovative, so to advance the knowledge base of related fields. These papers present major contributions to the field and should be up to 12 pages in length. The conference proceedings https://www.springer.com/la/book/9783319729220 (to be published by Springer International Publishing) will include all accepted full papers. An award for the best full paper will be presented during the conference. B) Research Notes Research notes of up to 5 pages are invited. These papers represent new ideas not developed enough at the scale of a full paper, findings that restate known research, descriptions of prototypes, or research that is limited in scope. All research notes will be published by the e-Review of Tourism Research (eRTR) at http://ertr.tamu.edu/ (Editor of eRTR: Cody Morris Paris, Middlesex University Dubai, United Arab Emirates). C) Organized Sessions Proposals for organizing technical or other research-oriented sessions are invited. Proposals will include details of potential participants, topics, and presenters. Session Chairs are expected to attend ENTER 2019, set the order of presentations, and chair their session/s. Deadline for session chairs to submit their proposals to Research Track Chairs is September 3, 2018 (please submit proposal by e-mail to the research track chairs found at the end of the document). Submission Please refer to the "Author Advice" (http://www.enter2019.org/wp-content/uploads/2018/06/enter2019authoradvice_2.docx ) document as a style guide for standards to follow in the preparation of manuscripts. Please also see Springer guidelines for conference proceedings: https://www.springer.com/gb/authors-editors/conference-proceedings/conference-proceedings-guidelines , especially for Latex submissions. Papers must be uploaded to the online reviewing platform: Easy Chair for ENTER2019 (https://easychair.org/conferences/?conf=enter2019 ). All papers will be double-blind peer-reviewed by experienced researchers who are members of the scientific review committee. Final acceptance will depend on whether the author(s) can adequately address review comments to the satisfaction of the reviewers. Authors must submit their revised manuscripts by the deadline (October 22, 2018) and must register for the conference by November 12, 2018 in order to have their papers included in the Conference Proceedings or eRTR. Time Schedule ? Submission closes: September 3, 2018 ? Notification of acceptance/rejection/revision: October 8, 2018 ? Deadline to submit revised version: October 22, 2018 ? Final acceptance: October 29, 2018 ? End of Early Bird registration: November 2, 2018 ? Registration deadline to be published later: November 12, 2018 ? Conference: January 30 - February 1, 2018 Conference organizers reserve the right to modify the paper submission schedule. Submission Guideline and Presentation Template Please download the "Author Advice" document as a style guide for Word here: http://www.enter2019.org/wp-content/uploads/2018/06/enter2019authoradvice_2.docx and for Latex here: ftp://ftp.springernature.com/cs-proceeding/svproc/templates/ProcSci_TeX.zip . A presentation template for your presentation during ENTER2019 Conference will be sent to the authors after acceptance. Fast Track Journal of Information Technology and Tourism (JITT) Best papers' authors will be invited to submit an extended version of their article to Journal of Information Technology and Tourism (Springer). These articles will be reviewed under a special fast track in order to assure a timely publication. JITT website: http://bit.ly/ITTJournal . Research Track Chairs ? Juho Pesonen, University of Eastern Finland (juho.pesonen[at]uef.fi) ? Julia Neidhardt, TU Wien, Austria (julia.neidhardt[at]ec.tuwien.ac.at) -------------- next part -------------- An HTML attachment was scrubbed... URL: From nac93 at cornell.edu Sun Aug 5 09:09:45 2018 From: nac93 at cornell.edu (Nicholas Cheney) Date: Sun, 5 Aug 2018 09:09:45 -0400 Subject: Connectionists: Postdoc Available at the University of Vermont (in Meta-Learning for Artificial General Intelligence) Message-ID: A two-year postdoc position with competitive salary is available in Nick Cheney?s lab in the Computer Science Department at the University of Vermont ? and in close collaboration with the EvolvingAI Lab at the University of Wyoming. The research will be in the area of meta-learning for artificial general intelligence ? applied to a variety of problems, especially those in deep reinforcement learning. Responsibilities include helping to design bio-inspired algorithms that enable agents to learn a variety of new tasks without losing the ability to perform previous ones (i.e. avoiding ?catastrophic forgetting?) and testing these method on simulated and/or physical robots. The position will be advised by Professor Nick Cheney at the University of Vermont and Professor Jeff Clune at the University of Wyoming/Uber AI Labs. It is available immediately, and applicants will be considered on a rolling basis ? though some flexibility on start date is possible. Experience in deep learning and/or reinforcement learning is desired. But applicants with strong research backgrounds in relevant fields (e.g. statistics, math, computer science), strong programming and communication skills, and a demonstrated desire to learn more about machine learning and neural networks will also be considered. To apply please send application materials to ncheney at uvm.edu and jeffclu ne at uwyo.edu. These should include a CV with cover letter, transcripts, GRE scores (if available), contact information (including academic relationship to you) for 3 letters of reference, a representative publication, and any additional materials demonstrating verbal communication skills (e.g. a recorded academic talk, or a recorded summary of your research interests, motivation, and goals ? please link videos rather than attaching them) or programming skills (e.g. link to a Github repository). The Evolving Artificial Intelligence Lab (http://EvolvingAI.org ) focuses on robotics and creating artificial intelligence in neural networks, either via deep learning or evolutionary algorithms. The lab is actively engaged in research. Just in the last three years, we have received an NSF CAREER award, participated in a cover article in Nature, produced the 63rd most talked about scientific paper worldwide in 2015, and our deep learning papers were awarded oral presentations (1-6% acceptance rates) at NIPS, CVPR, ICLR, and an ICML workshop. In that same time, we also produced six papers at GECCO, including a best paper award, and three papers in PLoS Computational Biology ? including a cover article with a Reddit AMA about it that over 42,000 people joined to ask 1000+ questions. Additionally, our work has been covered by almost every major international news outlet. Professor Cheney?s lab at the University of Vermont is a newly established core research group within the Vermont Complex Systems Center ? a postdisciplinary team of faculty and students working on real-world, data-rich, and meaningful complex systems problems of all kinds (VermontComplexSystems.org). The lab focuses on developing bio-inspired design and machine learning methods to study and address important complex adaptive systems in our society ? spanning robotics, digital fabrication, healthcare, and social-environmental problems. The lab is growing quickly and strongly funded by past and current projects from DARPA, NASA, the NSF, USDA, ARO, and industrial partnerships. In addition to research output (13 papers in the last two years), the group is also focused on the public engagement of science ? working with government and industrial stakeholders to help realize real-world impacts of AI research, engaging nearly a millions viewers via scientific communication videos, and winning 7 conference/institutional awards for these efforts. The University of Vermont (UVM), established in 1791, is a comprehensive research university with a current enrollment of 12,000+ undergraduate, graduate, and medical students. The scientific and academic environments in the College of Engineering and Mathematical Sciences, and throughout UVM, are dynamic, highly collaborative, and multi-disciplinary. UVM has state of the art core facilities, including the Vermont Advanced Computing Center, the Advanced Genome Technologies Core, and the UVM Medical Center. We also offer generous benefits packages, including health, dental, disability, and life insurance, personal and medical leave, and tuition remission. The University is located in beautiful Burlington, Vermont, about 90 miles south of Montreal. Burlington is consistently ranked as one of the best small cities in America for quality of living, and features year-round outdoor recreation and cultural events. Greater Burlington has a population of approximately 150,000 and enjoys a panoramic setting on Lake Champlain, bordered by the Adirondack and Green Mountains. The University is an Equal Opportunity/Affirmative Action employer and actively encourages applications from women, veterans, and people from diverse racial, ethnic, and cultural backgrounds. More info available at: www.ncheney.com/join-us.html Thank you for your interest in this position, or your help to advertise it! Best regards, Nick Cheney Research Assistant Professor, Computer Science University of Vermont ncheney at uvm.edu ncheney.com Jeff Clune Associate Professor, Computer Science Director, Evolving Artificial Intelligence Lab University of Wyoming jeffclune at uwyo.edu jeffclune.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From Jakob.Macke at caesar.de Sun Aug 5 17:50:58 2018 From: Jakob.Macke at caesar.de (Jakob Macke) Date: Sun, 5 Aug 2018 21:50:58 +0000 Subject: Connectionists: Multiple positions (e.g. Research Associate) in Computational Neuroengineering in Munich Message-ID: Dear colleagues, I am setting up a new group for Computational Neuroengineering at the Technical University of Munich (TUM) and am looking for a Senior Research Associate (E14), Postdocs/Data-Scientists (E13), and Graduate Students. We perform research at the intersection of computational neuroscience and machine learning: We build computational tools to study, improve, and interact with biological and artificial neural systems. Using these tools, we investigate how populations of neurons collectively process sensory input and guide complex behavior. We closely collaborate with clinical and experimental groups performing measurements of neural activity, connectivity and behavior. Topics of interest include: Probabilistic deep learning, in particular simulation-based inference Analyzing computations in artificial and biological neural networks Machine-learning tools for analyzing population recordings Statistical tools for behavioural data Positions: 1) Research Associate (f/m, E14): The research associate will play a senior and central role in the group: She/he will be given opportunities to propose, initiative and supervise research projects. She/he will be expected to contribute to graduate teaching in the recently established ?Elite Master Program? in Neuroengineering? https://www.msne.ei.tum.de. The Position is funded at grade ?E14? until 31/08/2021. 2) Graduate Student (f/m): Probabilistic Inference in Early Visual Cortex The goal of this project is to investigate representations of uncertainty in early visual cortex and their effect on behavior in perceptual decision making tasks. This project is a collaboration with Hendrikje Nienborg and Felix Wichmann (T?bingen) and Ralf Haefner (Rochester), and funded through the SFB 1233 ?Robust Vision? by the German Research Foundation, until 31/12/2020. 3) Graduate Student (or Postdoc, f/m): Analysis tools for long-term multi-electrode recordings This position is part of the HFSP-funded project ?Remembering the future? with Aman Saleem (UCL) and Gordon Berman (Emory). The successful application will develop statistical tools for analyzing long-term multi-electrode recordings, and for linking them with statistical models describing behavior of freely moving animals. The position is funded for three years. 4) Graduate Student/Postdoc/Data-Scientist (f/m): Likelihood-free inference We are also expecting funding notification for a collaborative, three-year project on developing likelihood-free algorithms for Bayesian inference on numerical simulation models via probabilistic neural networks, and using them to perform statistical inference on neurophysiological data. More details to be announced soon. We are situated in the Department of the Electrical and Computer-Engineering at TUM in downtown Munich, and are part of the Center of Competence Neuroengineering, the `Elite Masters in Neuroengineering? (MSNE) and the Bernstein Center for Computational Neuroscience Munich. Munich is one of the most beautiful and attractive cities in Germany, and TUM is consistently ranked amongst the best research universities in Germany. Applicants should have a strong background in a quantitative discipline (e.g. electrical engineering, maths, statistics, physics, computer science, neuroscience), a genuine interest in understanding neural computation, and strong programming skills. Prior exposure to machine learning is advantageous. To apply, please submit your application materials to jobs at cne.ei.tum.de. Please include a CV, a brief (< 1 page) statement of research interests, contact details of two referees and one or two work samples-- anything that is genuinely your own work, e.g. a thesis, computer code, a research manuscript, an essay, or a publication. For research associate and postdocs, we expect relevant prior publications. We particularly encourage female students and researchers to apply. TUM is an equal opportunity employer committed to excellence through diversity. In case of equivalent qualification, preference will be given to disabled applicants. Information about our research and recent publications available on our old website from Bonn, www.mackelab.org. Prof. Dr. rer. nat. Jakob Macke Technical University of Munich Professorship for Computational Neuroengineering (CNE) Department of Electrical and Computer Engineering macke at tum.de Max Planck Research Group Leader Neural Systems Analysis research center caesar, Bonn www.mackelab.org From yang at maebashi-it.org Sun Aug 5 22:08:02 2018 From: yang at maebashi-it.org (Yang) Date: Mon, 6 Aug 2018 11:08:02 +0900 Subject: Connectionists: [Deadline Extended] Call for Papers -- Brain Informatics 2018 Message-ID: <49971C4929E443C0A19EF8BF168D282A@yangPC> [Apologies if you receive this more than once] Deadline Extended -- CALL FOR PAPERS The 11th International Conference on Brain Informatics (BI'18) December 7-9, 2018, Arlington, Texas, USA Homepage: http://uta.engineering/conferences/bi-2018/ ---Advancing BI Technologies from Basic Science Research to Real-World Practice--- ============================================== August 10, 2018: Papers submission deadline (Extended) September 15, 2018: Abstract submission deadline ============================================== The International Conference on Brain Informatics series (BI) has established itself as the world?s premier research forum that brings together researchers and practitioners from neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies with the purpose of exploring the fundamental roles, interactions as well as practical impacts of Brain Informatics. The BI'18 will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings, and strategies in brain informatics research and brain-inspired concepts and technologies. It welcomes emerging technologies for addressing fundamental neurobiological questions about healthy brain function, laying the groundwork for advancing treatments for brain disorders or injury, and for generating brain-inspired "smart" artificial intelligence and computing technologies to meet future societal needs. It will educate and expand the brain informatics workforce and create new career opportunities for brain research and related innovations. The BI'18 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be peer-reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI (http://www.springer.com/us/book/9783319707716). Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing IMPORTANT DATES: ================ August 10, 2018: Papers submission deadline (Extended) August 30, 2018: Notification of paper acceptance September 15, 2018: Abstract submission deadline December 7, 2018: Workshops & Special Sessions December 8-9, 2018: Main conference PAPER SUBMISSIONS & PUBLICATIONS: ================================= TYPE-I (Full Paper Submissions): Papers need to have up to 10 pages in LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 All full length papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. TYPE-II (Abstract Submissions): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference". The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. *** Post-Conference Journal Publications *** The Brain Informatics conferences have the formal ties with the Open Access Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted full papers will be selected to publish in the Open Access Brain Informatics Journal upon revision. No article-processing fee will be charged for authors of Brain Informatics conference. *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ORGANIZERS ========== General Chairs Tom Mitchell (Carnegie Mellon University, USA) Leon Iasemidis (Louisiana Tech, University, USA) Ning Zhong (Maebashi Institute of Technology, Japan) Program Committee Chairs Jianzhong Su (University of Texas at Arlington, USA) Vicky Yamamoto (University of South California, USA) Yu-Ping Wang (Tulane University, USA) Organizing Chairs Shouyi Wang (University of Texas at Arlington, USA) Erick Jones (University of Texas at Arlington, USA) Fenghua Tian (University of Texas at Arlington, USA) Workshop/Special-Session Chairs Chou, Chun-An (Northwestern University, USA) Xiangnan Kong (Worcester Polytechnic Institute, USA) Felicia Jefferson (Fort Valley State University, USA) Jing Qin (Montana State University, USA) Panel/Tutorial Chairs Yang Yang (Maebashi Institute of Technology, Japan/Beijing Advanced Innovation Center for Future Internet Technology, China) Vassiliy Tsytsarev (University of Maryland, USA) Publicity Chairs Paul Wen (University of Southern Queensland, Australia) Huiguang He (Chinese Academy of Sciences, China) Mufti Mahmud (University of Padova, Italy) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** Shouyi Wang Email: shouyiw at uta.edu Vicky Yamamoto Email: Vicky.Yamamoto at med.usc.edu Yang Yang Email: yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From aleksander.ilin at gmail.com Mon Aug 6 02:57:43 2018 From: aleksander.ilin at gmail.com (Alexander Ilin) Date: Mon, 6 Aug 2018 09:57:43 +0300 Subject: Connectionists: Postdoctoral and PhD student positions in machine learning, Finnish Center for Artificial Intelligence Message-ID: Finnish Center for Artificial Intelligence ( FCAI; http://fcai.fi ) is looking for exceptional doctoral students and postdoctoral researchers to tackle complex and exciting problems in the field of machine learning. Come and join us to create the Real AI that is data-efficient, trustworthy and understandable! FCAI brings together the world-class expertise of Aalto University and the University of Helsinki in AI research, strengthened further with an extensive set of companies and public sector partners, creating an attractive, world-class ICT hub in Helsinki metropolitan area. Our research agenda is spearheaded by 5 research programs with multiple research groups involved in each. We are currently hiring doctoral students and postdoctoral researchers in the following FCAI research programs and the detailed projects listed below. Research programs: 1. Agile probabilistic AI. Keywords: Probabilistic programming; Robust and automated Bayesian machine learning 2. Simulator-based inference: Approximate Bayesian Computation ABC; likelihood-free inference; Generative adversarial networks (GAN); applications in many fields including medicine, materials design, visualization, business, ? 3. Next generation data-efficient deep learning; including deep reinforcement learning 4. Privacy-preserving and secure AI: Privacy-preserving machine learning; differential privacy; adversarial machine learning 5. Interactive AI: Interactive machine learning; probabilistic inference of cognitive models from data; probabilistic programming for behavioral sciences Specific projects: 6. Constraint-based optimization and machine learning 7. Probabilistic machine learning 8. Probabilistic machine learning for personalized medicine 9. Probabilistic modeling and machine learning for bioinformatics 10. Non-parametric probabilistic machine learning 11. Bioinformatics and computational biology 12. Computational HCI 13. Privacy-preserving federated machine learning 14. Probabilistic user modelling in interactive human-in-the-loop machine learning Deadline for doctoral students: August 12, 2018. Postdoc applications received by August 12, 2018 will receive full treatment. More details here: http://www.fcai.fi/fcainews/2018/7/2/postdoc-and-doctoral-student-positions-in-machine-learning From fh at cs.uni-freiburg.de Mon Aug 6 08:07:00 2018 From: fh at cs.uni-freiburg.de (Frank Hutter) Date: Mon, 6 Aug 2018 14:07:00 +0200 Subject: Connectionists: Multiple positions available in AutoML, learning to learn, automated algorithm design, etc. Message-ID: We have several postdoc, PhD, and research engineer positions available in AutoML, learning to learn, automated algorithm design, and related topics in the machine learning research group at the University of Freiburg, Germany: http://automl.org/jobs In our group, we focus on efficient AutoML methods; e.g., we won both international AutoML challenges held so far. Funded by an ERC grant, we are currently focusing on automated deep learning. We are hiring outstanding candidates in the following areas: - AutoML - Neural architecture search - Learning to learn - Meta learning and transfer learning - Bayesian optimization and hyperparameter optimization - Deep reinforcement learning - Optimization of neural networks - Evolutionary algorithms - Algorithm configuration and selection - Discrete optimization and NP-hard problem solving - Data-driven analysis of algorithms, hyperparameter importance, problem hardness, etc. - Principled empirical analysis Please see the full job posting at http://automl.org/jobs for details. Thanks, Frank Hutter -------------- next part -------------- An HTML attachment was scrubbed... URL: From friedhelm.schwenker at uni-ulm.de Mon Aug 6 10:07:19 2018 From: friedhelm.schwenker at uni-ulm.de (Friedhelm Schwenker) Date: Mon, 6 Aug 2018 16:07:19 +0200 Subject: Connectionists: FULL PROFESSOR (W3oL, tenured) of MEDICAL INFORMATICS at ULM UNIVERSITY Message-ID: The Medical Faculty of Ulm University invites applications for the position of a FULL PROFESSOR (W3oL, tenured) of MEDICAL INFORMATICS (Reference-code 108590) Ulm University, School of Medicine is one of Germanys top performing medical institutions in the fields of biomedical and clinical research. Dedicated to providing excellent teaching and training for our future scientists and physicians in order to enhance high quality research and health care. The School of Medicine, Institute of Medical Systems Biology, offers a faculty position at the rank of Associate Professor (W3oL, tenured) of Medical Informatics. This position will support the Universitys mission and commitment to excellence and diversity in our students, faculty, staff and all our activities. We are seeking candidates with expertise in areas such as method development, e.g. semantic interoperability, machine learning, big data and learning systems in the health sector. Candidates are expected to intensify and complement the existing research focus and -networks and actively participate in existing centers (Comprehensive Cancer Center Ulm - CCCU, Center for Trauma Research, Center for Personalized Medicine). Responsibilities include establishing an independent research program in methodological, collaborative and interdisciplinary research, actively participating in the graduate and molecular medical training programs, and synergizing with the clinical informatics services. The candidate should participate in teaching courses of the Medical Faculty (esp. Molecular Medicine) and in the application subject area "Medicine for computer scientists". The professorship will be an integral part of the area "Medical Informatics" of the International Graduate School in Molecular Medicine Ulm (IGradU). We are seeking candidates who can develop innovative approaches to current health-care challenges with high clinical impact. A demonstrated record of high-quality peer-reviewed publications and the ability to successfully compete for grant funding are essential. Please send your comprehensive application including a completed application form (available at:http://fakultaet.medizin.uni-ulm.de/aktuelles/stellenausschreibungen) Prof. Dr. Thomas Wirth, Dean of the Faculty of Medicine, Ulm University, Albert- Einstein-Allee 7, 89081 Ulm (Germany). Application deadline: 28.09.2018 Handicapped people with equal qualifications will be employed preferentially. The University Ulm strives for an increased proportion of women in research and teaching and therefore strongly encourages female qualified scientists to apply for the position. In general, full-time positions are divisible. From george at cs.ucy.ac.cy Tue Aug 7 08:31:24 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Tue, 7 Aug 2018 15:31:24 +0300 Subject: Connectionists: The 34th ACM Symposium on Applied Computing (SAC 2019): Third Combined Call for Papers In-Reply-To: References: Message-ID: <31C24FFB-0CFA-4FDA-A707-4F88A4937121@cs.ucy.ac.cy> *** THIRD COMBINED CALL FOR PAPERS *** The 34th ACM Symposium on Applied Computing (SAC 2019) St. Raphael Resort, Limassol, Cyprus, April 8-12, 2019 https://www.sigapp.org/sac/sac2019 For the past thirty-three years the ACM Symposium on Applied Computing (SAC) has been a primary and international forum for applied computer scientists, computer engineers and application developers to gather, interact and present their work. The ACM Special Interest Group on Applied Computing (SIGAPP) is the sole sponsor of SAC. The conference proceedings are published by ACM and are also available online through ACM's Digital Library. The 34th Annual SAC meeting will be held in April 2019 in Limassol, Cyprus, and is hosted by the University of Cyprus. The conference features the following tracks: ? Intelligent Robotics and Multi-Agent Systems (IRMAS) ? Knowledge Representation and Reasoning (KRR) ? Information Access and Retrieval (IAR) ? Software Verification and Testing (SVT) ? Computational Intelligence and Video & Image Analysis (CIVIA) ? Social Network and Media Analysis (SONAMA) ? Selected Areas of Wireless Communications and Networking (WCN) ? Recommender Systems: Theory and Applications (RS) ? Computer Security (SEC) ? Web-based Technologies for Interactive Computing Education (WICE) ? Data Mining (DM) ? Usability Engineering (UE) ? Cloud Computing (CC) ? Privacy by Design in Practice (PDP) ? Advances in COMputational Biomedical Imaging (COMBI) ? Operating Systems (OS) ? Software Platforms (SP) ? Decentralized Applications (DAPP) with Blockchain, DLT and Crypto-Currencies (DAPP) ? Databases and Big Data Management (DBDM) ? Requirements Engineering (RE) ? Cyber-Physical Systems (CPS) ? Software Architecture: Theory, Technology, and Applications (SA-TTA) ? Internet of Things (IoT) ? Sustainability of Fog/Edge Computing Systems (SFECS) ? Software-intensive Systems-of-Systems (SiSoS) ? Data Streams (DS) ? Programming Languages (PL) ? Business Process Management & Enterprise Architecture (BPMEA) ? Microservices, DevOps, and Service-Oriented Architecture (MiDOS) ? Health Informatics (HI) ? Dependable, Adaptive, and Secure Distributed Systems (DADS) ? GeoInformation Analytics (GIA) ? Knowledge and Language Processing (KLP) ? KomIS: Knowledge Discovery meets Information Systems (KomIS) ? Next Generation Programming Paradigms and Systems (NGPS) ? Communication, Computing and Networking in Internet of Vehicles (CCNIV) ? Bioinformatics (BIO) ? Embedded Systems (EMBS) ? Digital Life for Human Well-being (DLHWB) ? Networking (NET) ? Semantic Web and Applications (SWA) ? Mobile Computing and Applications (MCA) ? Software Engineering (SE) ? Variability and Software Product Line Engineering (VSPLE) ? Smart Human Computer Interaction (HCI) ? Web Technologies (WT) ? Machine Learning and its Applications (MLA) More information about the topics covered by each track and submission instructions are available on the conference web site and the web sites of the tracks themselves (accessible from the conference web site). Important Dates ? Sept 10, 2018: Submission of papers ? Nov 10, 2018: Author notification ? Nov 25, 2018: Camera-ready copies ? Dec 10, 2018: Author registration Committees https://www.sigapp.org/sac/sac2019/organization.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From education at humanbrainproject.eu Tue Aug 7 07:43:05 2018 From: education at humanbrainproject.eu (education at humanbrainproject.eu) Date: Tue, 7 Aug 2018 13:43:05 +0200 Subject: Connectionists: HBP School: The Brain Simulation Platform of the Human Brain Project | 17-21 September 2018 | Palermo, Italy Message-ID: <70646B2C-D066-49B6-BC92-2CDA136BB476@humanbrainproject.eu> HBP School ? The Brain Simulation Platform of the Human Brain Project 17-21 September 2018 Palermo, Italy This School will introduce participants to the Brain Simulation Platform (BSP) of the Human Brain Project (HBP), with the main aim to train users on how to exploit the possibilities offered by the Platform to implement cellular level computational models, to use High Performance Analytics and Computing Platform systems to configure and run a simulation, and to visualise/analyse the results. Both short lectures and longer afternoon activities will be delivered at a basic and intermediate level. Through tutorials and hands-on activities, attendees will learn how to interact with the BSP to carry out their own research, to set up and manage a data-driven collaborative project, or to use the BSP to interact with the HBP Neuroinformatics Platform. Participants will be encouraged to introduce new ideas and suggest ways to use their original experimental data/techniques to implement/use the multiscale neural model they would like to investigate. Participation info: Application is open to the entire student community and early career researchers, regardless of whether they are affiliated with the Human Brain Project or not. Participants are required to submit an abstract on their current research, a CV and a motivation letter with their application. Registration fees: 1 August - 10 September: 450 ? After 10 September: 500 ? The fee does not include travel and accommodation. Fees will be collected after participants have been selected. Speakers and topics confirmed: Michele Migliore (CNR): Welcome and introduction to the HBP School Luca Leonardo Bologna (CNR): First steps into the Brain Simulation Platform (BSP) Annapaola Santarsiero (EPFL): The Collaboratory Luca Leonardo Bologna, Rosanna Migliore (CNR): Hands-on: Electrophysiological features extraction Michele Migliore (CNR): Scientific drive: Single cell modelling Carmen Alina Lupascu (CNR): Single cell model optimisation: Algorithms and methods Carmen Alina Lupascu, Rosanna Migliore (CNR): Hands-on session: Build your own cell model Giuseppe Di Giovanni (ELSEVIER): ELSEVIER - Journal of Neuroscience Methods Workshop: How to get a paper published, read & cited Armando Romani (EPFL): Scientific drive: Circuit models - the Hippocampus and the Cerebellum Jean-Denis Courcol (EPFL): Circuit modelling pipeline Armando Romani, Jean-Denis Courcol (EPFL): Hands-on: Circuit analysis Felix Sch?rmann (EPFL): Technical drive: The architecture of the BSP Michael Hines (Yale School of Medicine): Technical drive: Using NEURON+Python for parallel simulations Carmen Alina Lupascu (CNR), Michael Hines (Yale School of Medicine): Hands-on: Implement and run NEURON on the Collaboratory Felix Sch?rmann (EPFL): The science behind the Human Brain Project Carmen Alina Lupascu (CNR): Technical drive: Interacting with High Performance Computing (HPC) systems Michele Migliore (CNR): How to write an HPC proposal: Success stories Further information and application: https://education.humanbrainproject.eu/web/hbp-school-the-brain-simulation-platform/ We are looking forward to receiving your applications and seeing you at the HBP School on the HBP Brain Simulation Platform in Palermo, Italy! The HBP Education Programme Team Medical University Innsbruck (MUI) M?llerstra?e 59, 6020 Innsbruck, Austria Phone Office: +43 512 9003 71246 Mobile Phone: +43 676 871672246 Email: education at humanbrainproject.eu Follow us on Twitter, Facebook and LinkedIn! Keep up with the Education Programme?s latest news, event information, job offers, videos and more. Share our news with your friends and colleagues to help spreading our education and training opportunities throughout the international research community. Where to follow: Twitter: @HBP_Education Facebook: @hbpeducation LinkedIn: HBP Education Programme -------------- next part -------------- An HTML attachment was scrubbed... URL: From david.halliday at york.ac.uk Wed Aug 8 07:00:15 2018 From: david.halliday at york.ac.uk (David Halliday) Date: Wed, 8 Aug 2018 13:00:15 +0200 Subject: Connectionists: Final call and reminder - workshop on Computational Neuroscience and Robotics: University of York, 3-5 Sep 2018. Message-ID: The SPANNER workshop on Astrocyte-Neuron interactions, Spiking Neural Networks and Autonomous robotics is still accepting applications to attend. Due to sponsorship we can offer free registration, including meals at this 2.5 day workshop. We have invited speakers from USA, EU and UK. We are still accepting abstracts for contributed talks. Overnight accommodation will be provided for PhD students and early career researchers and PhD student travel bursaries are available. Up to date information is on the web site: https://www.york.ac.uk/spanner-workshop We warmly invite you to the historic city of York next month. -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.jaeger at jacobs-university.de Wed Aug 8 11:42:30 2018 From: h.jaeger at jacobs-university.de (Herbert Jaeger) Date: Wed, 8 Aug 2018 17:42:30 +0200 Subject: Connectionists: Fwd: CfP reminder: Cognitive Computing - Merging Concepts with Hardware (Herbert Jaeger) In-Reply-To: <3bf3c989-f258-b16c-d4bc-df0ac0ffd107@jacobs-university.de> References: <3bf3c989-f258-b16c-d4bc-df0ac0ffd107@jacobs-university.de> Message-ID: <80e32f74-bafa-ef3c-3d8d-2f87d769c3df@jacobs-university.de> Due to summer vacation voids and a few deadline panic attacs communicated to us, we extend the deadline for submissions of 2-page abstracts to the unconventional conference indicated below to -->> August 31 <<--. ********************************************************* COGNITIVE COMPUTING: MERGING CONCEPTS WITH HARDWARE December 18-20, 2018, Hannover, Germany http://www.cognitive-comp.org/ ** An interdisciplinary networking event / scientific conference ** We would like to draw your attention to a slightly unorthodox scientific community event that could be realized with the generous support from the Volkswagen Foundation, Germany?s largest private organization for the advancement of scientific research. The aim of this event is to work towards a general, productive, and rigorous theory of ?computing? in non-digital, nonlinear physical substrates. Biological brains and unconventional computing machines would become understandable as different instantiations of the same underlying principles. Three scientific communities, namely ? cognitive and computational neurosciences, ? theory of computation, and ? nonlinear materials, devices and systems have since long been exploring diverse facets of such principles of non-digital computing. But differences in terminology, discipline-specific objectives and a scattered spectrum of formal methods have handicapped cross-fertilization. Everything in this conference is geared toward stimulating linkages between these fields: ? single-track with rather few, rather long oral presentations, ? long break and poster session times for person-to-person talking, ? keynote and plenary speakers of interdisciplinary renown, ? a limited (200) number of participants, ? a splendid setting in the Castle of Herrenhausen, a heritage of the Kings of Hannover, with adjoining hectares of classical French gardening. Invited speakers: ? Kwabena Boahen, Stanford University ? Joanna J. Bryson, Univ. of Bath and Princeton University ? Chris Eliasmith, University of Waterloo ? Edward A. Lee, UC Berkeley ? Demetri Psaltis, EPFL Lausanne ? Pieter Roelfsema, Vrije Universiteit Amsterdam & Netherlands Institute for Neuroscience ? Susan Stepney, University of York ? Ipke Wachsmuth, University of Bielefeld ? David Wolpert, Santa Fe Institute We solicit the submission of 2-page abstracts, with themes oriented toward our five topical sessions: ? applications of unconventional computing systems, ? theoretical concepts and mathematical foundations, ? neuromorphic hardware, ? novel physical substrates, ? guides from neuroscience for computing technologies, encouraging survey / introductory / didactic contributions (besides the standard discipline-specific result reports which are also possible). Detailed information can be found on http://www.cognitive-comp.org/ and in the Call for Abstracts that is posted there. Timelines: ? Abstract submission: (was: July 31) NEW: August 31 ? Notification of acceptance: (was: September 30 - still valid for submissions received by July 31) NEW: as fast as possible after submission ? Final abstract for online publication: October 31 Registration fees: ? Students (incl. PhD students): 150 Euro ? Others (academic): 300 Euro ? Industry: 900 Euro Contributors of accepted oral presentations will be exempted from fees and will receive travel refunding. The organizers: ? Daniel Brunner (photonics, neuromorphic architectures; University of Besan?on) ? Herbert Jaeger (machine learning, nonlinear dynamics; Jacobs University Bremen) ? Stuart Parkin (nano systems, quantum electronic materials; Max-Planck-Institute for Microstructure Physics, Halle) ? Gordon Pipa (neuroinformatics and cognitive computing; University of Osnabr?ck) ------------------------------------------------------------------ Dr. Herbert Jaeger Professor for Computational Science Jacobs University Bremen gGmbH Campus Ring 28759 Bremen, Germany Phone (+49) 421 200 3215 email h.jaeger at jacobs-university.de http://minds.jacobs-university.de (offline until end of July: server infrastructure needs to be rebuilt after hacker disaster) ------------------------------------------------------------------ . . From iswc2018 at gmail.com Wed Aug 8 09:39:38 2018 From: iswc2018 at gmail.com (Maribel Acosta) Date: Wed, 8 Aug 2018 15:39:38 +0200 Subject: Connectionists: ISWC 2018 - Student Travel Award Applications (one week left!) Message-ID: 17th International Semantic Web Conference (ISWC 2018) Monterey, California (USA), October 8-12, 2018 Website: http://iswc2018.semanticweb.org Facebook: https://www.facebook.com/groups/InternationalSemanticWebConference Twitter: @iswc2018 (https://twitter.com/iswc2018) Important dates: http://iswc2018.semanticweb.org/important-dates/ ==== ISWC 2018 STUDENT TRAVEL GRANTS === Submission deadline (NEW!): August 15th, 2018 Notifications (NEW!): August 31st, 2018 If you are a student interested in attending ISWC 2018, you may be eligible to apply for travel grants to support the costs of travel and lodging. This year, travel grants are funded by the Semantic Web Science Association (SWSA) and the U.S. National Science Foundation (NSF). Applying for a Student Travel Award ==================================== Please make sure that you have submitted your application and that your supervisor has sent us a confirmation email by *August 15th, 2018* (new deadline!). To apply for a grant please follow the steps described at: http://iswc2018.semanticweb.org/student-travel-grants/ Questions ========= If you have any questions or would like to discuss your specific requirements please do not hesitate to contact iswc.travel.awards at gmail.com. The ISWC Organising Committee (http://iswc2018.semanticweb.org/organization/) ISWC 2018 is sponsored by Franz Inc., Elsevier, IBM Research, iNovex, Ontotext, Oracle, data.world, metaphacts, videolectures.net, and Thomson Reuters. -------------- next part -------------- An HTML attachment was scrubbed... URL: From castro.neuro at pm.me Thu Aug 9 08:18:37 2018 From: castro.neuro at pm.me (=?UTF-8?Q?Andr=C3=A9_Castro?=) Date: Thu, 09 Aug 2018 12:18:37 +0000 Subject: Connectionists: ESI SyNC Conference 2018 - Integrative Mechanisms of Cognitive Neuroscience | DEADLINE APPROACHING Message-ID: Dear all, this is a kind reminder that ESI Sync 2018 is approaching. The registration deadline is 15th August and only a limited number of places are available. This year?s theme is "Integrative Mechanisms in Cognitive Neuroscience: Crossroads to the Brain?. The conference will begin in the morning of 30th August and end in the evening of 31st August 2018 at the Ernst Str?ngmann Institute in Frankfurt, Germany. Our confirmed invited speakers are the following: - David Melcher (University of Trento, Italy) -- "Temporal rhythms of visual perception" - Dimitri Kullmann (UCL, UK) -- "Hippocampal gamma oscillations: dynamical properties and closed-loop manipulation" - Matteo Carandini (UCL, UK) -- "Local and global neural correlates of vision, action, and reward" - Biyu He (NYU, US) -- ''Large-scale brain dynamics underlying visual perceptual awareness'' - Tobias Donner (UKE, Germany) -- tba - Wim Vanduffel (KU Leuven, Belgium) -- "Optogenetic interrogation of the attention network in primates" - Anitha Pasupathy (University of Washington, US) -- "Encoding things and stuff: multiplexed form and texture signals in primate V4" - Floris de Lange (Radboud University, Netherlands) -- "How do prior expectations influence sensory computations?" - Hannah Monyer (Heidelberg University, Germany) -- ''GABAergic neurons ? the cellular substrate for local and long-range synchrony'' - James Bisley (UCLA, US) -- ''The complementary roles of areas LIP and FEF in guiding eye movements'' This year we have the pleasure to announce as our special guest the choreographer Ildik? T?th! In order to register, please fill out the registration form (that can be found at http://www.esi-frankfurt.de/registration/ ) and email it to events at esi-frankfurt.de. Please see our [website](http://www.esi-frankfurt.de/esisync/esisync-home/) for more details and updates on the programme. Organising Committee: Wolf Singer Pascal Fries Andr? Castro Tommaso Tosato Ana Broggini Miriam Mueller Renata Vajda -------------- next part -------------- An HTML attachment was scrubbed... URL: From jason.sherwin at thorindustriesinc.com Thu Aug 9 11:56:43 2018 From: jason.sherwin at thorindustriesinc.com (Jason Sherwin) Date: Thu, 9 Aug 2018 11:56:43 -0400 Subject: Connectionists: Want to study baseball neuroscience? - Post-doc / PhD Position Available Message-ID: I would be grateful if you could forward to the list. Postdoctoral Research Associate in Baseball, Biomedical Signal Processing and Machine Learning Thor Industries, Inc. and US Army Research Laboratory Thor Industries is pleased to announce this postdoctoral or PhD (All But Dissertation) position in its Cooperative Agreement with the US Army Research Laboratory (ARL). The project is in its second year of a multi-year effort with the ARL. Thor Industries is led by its Principal, Dr. Jason Sherwin. Thor Industries is partnered with the University of Tennessee Math Department on this Cooperative Agreement with the ARL. Thor Industries is tasked with examining neural and behavioral data collected from real-world baseball hitting experts and analyzing these data for relationships to real-world data (i.e., on-field statistics collected in-game). A familiarity with rapid decision-making, go/no-go paradigms and baseball metrics is a requirement. The successful applicant is expected to relocate to Aberdeen Proving Ground, MD, USA, or nearby to work at the Aberdeen Proving Ground with ARL personnel. A housing allowance will be given in addition to stated salary. A travel budget is also available to the successful applicant. Only U.S. Citizens will be considered due to security restrictions at the worksite. The successful applicant will investigate and develop advanced signal processing and machine learning algorithms for prediction purposes. The ideal candidate will have received a PhD in Biomedical Engineering, Electronic Engineering, Computer Science or a closely related discipline, and is expected to have significant experience of biomedical signal processing and machine learning techniques. Applicants are also encouraged to have a strong publication record as first author, ideally including publications in 1st quartile journals in relevant areas. Appointment will be made as Senior Research Scientist in Thor Industries. Salary: Competitive and With Non-Salary Perks Duration: 12 Months (short-term), 24-36 months (pending renewal long-term) For further information and inquiries, please contact Dr. Jason Sherwin jason.sherwin at thorindustriesinc.com -- Jason Sherwin, Principal Thor Industries, Inc. -------------- next part -------------- An HTML attachment was scrubbed... URL: From poma at mmmi.sdu.dk Thu Aug 9 17:12:44 2018 From: poma at mmmi.sdu.dk (Poramate Manoonpong) Date: Thu, 9 Aug 2018 21:12:44 +0000 Subject: Connectionists: [Meetings] Call for participation SAB2018 - International Conference on the Simulation of Adaptive Behavior Message-ID: Call for participation FROM ANIMALS TO ANIMATS 15 The 15th International Conference on the Simulation of Adaptive Behavior (SAB2018) 14-17 August 2018, Frankfurt, Germany * Keynote speakers * Auke Jan Ijspeert, Swiss Federal Institute of Technology (EPFL), Switzerland Jan Peters, Darmstadt University of Technology, Germany Koh Hosoda, Osaka University, Japan Tom Froese, National Autonomous University of Mexico, Mexico https://www.sab2018.org/ Final program : https://indico.fias.uni-frankfurt.de/event/8/program Best regards Poramate Manoonpong, Jochen Triesch, John Hallam, Xiaofeng Xiong, J?rgen Christian Larsen -------------- next part -------------- An HTML attachment was scrubbed... URL: From barros at informatik.uni-hamburg.de Fri Aug 10 11:27:02 2018 From: barros at informatik.uni-hamburg.de (Pablo Barros) Date: Fri, 10 Aug 2018 17:27:02 +0200 Subject: Connectionists: Resources Based on Neural Models for Gestures and Emotion Recognition Message-ID: <20955cde-0012-6cd9-8a06-59444ff36496@informatik.uni-hamburg.de> Dear all, We are very happy to announce the release of resource material related to our research on affective computing and gestures recognition. This resource contains research on hand gesture and emotion processing (auditory, visual and crossmodal) recognition and processing, organized as three datasets (NCD, GRIT, and OMG-Emotion), source code for proposed neural network solutions, pre-trained models, and ready-to-run demos. The NAO Camera hand posture Database (NCD) was designed and recorded using the camera of a NAO robot and contains four different hand postures. A total of 2000 images were recorded. In each image, the hand was is present in different positions, not always in the centralized, and sometimes with occlusion of some fingers. The Gesture Commands for Robot InTeraction (GRIT) dataset contains recordings of six different subjects performing eight command gestures for Human-Robot Interaction (HRI): Abort, Circle, Hello, No, Stop, Turn Right, Turn Left, and Warn. We recorded a total of 543 sequences with a varying number of frames in each one. The One-Minute Gradual Emotion Corpus (OMG-Emotion) is composed of Youtube videos which are about a minute in length and are annotated taking into consideration a continuous emotional behavior. The videos were selected using a crawler technique that uses specific keywords based on long-term emotional behaviors such as "monologues", "auditions", "dialogues" and "emotional scenes". After the videos were selected, we created an algorithm to identify weather the video had at least two different modalities which contribute for the emotional categorization: facial expressions, language context, and a reasonably noiseless environment. We selected a total of 420 videos, totaling around 10 hours of data. Together with the datasets, we provide the source code for different proposed neural models. These models are based on novel deep and self-organizing neural networks which deploy different mechanisms inspired by neuropsychological concepts. All of our models are formally described in different high-impact peer-reviewed publications. We also provide a ready-to-run demo for visual emotion recognition based on our proposed models. These resources are accessible through our GitHub link: https://github.com/knowledgetechnologyuhh/EmotionRecognitionBarros . We hope that with these resources we can contribute to the areas of affective computing and gesture recognition and foster the development of innovative solutions. -- Dr.rer.nat. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html https://www.inf.uni-hamburg.de/en/inst/ab/wtm/ From J.Bowers at bristol.ac.uk Fri Aug 10 10:28:49 2018 From: J.Bowers at bristol.ac.uk (Jeffrey Bowers) Date: Fri, 10 Aug 2018 14:28:49 +0000 Subject: Connectionists: Research Associate /Senior Research Associate positions Message-ID: Deadline approaching for: Research Associate /Senior Research Associate positions University of Bristol Salary: ?32,548 to ?41,212 per annum Deadline: 20th August 2018 We are seeking to appoint talented computational modelers to join an ERC-funded project entitled "Generalisation in Mind and Machine". The project explores how well neural networks support human-like generalisation across a range of tasks. Currently two postdoctoral fellows and two PhD students are working on project, and we are looking to hire two more persons with PhDs (or potentially BSc) in computer science or cognitive psychology (or a related field) with experience working with neural networks. In contrast with the large community of researchers focused on improving the performance of deep networks for applied reasons, the goal of this project is to explore what neural networks tell us about how the brain works. More specifically, the team will be working on questions of generalisation in the domains of object identification, word identification, short-term memory, and games, amongst other areas. A core issue is whether networks need to be include symbolic computations to succeed on some forms of generalisation. For overview of some of the issues we are exploring in the project see: Bowers, J. S. (2017). Parallel Distributed Processing Theory in the Age of Deep Networks. Trends in Cognitive Sciences, 12, 950-961. For more details regarding the project see our ERC website: http://mindandmachine.blogs.bristol.ac.uk/ This post can start as early as Oct 1st 2018 (but flexible about start date) and currently has funding secured until Oct 1st 2021. To apply go to: https://www.jobs.ac.uk/job/BKR397/erc-research-associate-senior-research-associate/ If you have any questions, please get in touch with Jeff Bowers at: j.bowers at bristol.ac.uk Jeff Bowers ....................... Jeffrey Bowers School of Psychological Science University of Bristol: www.bristol.ac.uk/psychology/ Email: j.bowers at bristol.ac.uk ERC Lab | mindandmachine.blogs.bristol.ac.uk/ Personal | https://jeffbowers.blogs.bristol.ac.uk/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From cristobal.nettle at gmail.com Fri Aug 10 16:23:55 2018 From: cristobal.nettle at gmail.com (Cristobal Jesus Nettle Vacher) Date: Fri, 10 Aug 2018 16:23:55 -0400 Subject: Connectionists: CRoNe2018: Congress on Robotics and Neuroscience - Extended Submission deadline Message-ID: Dear all, Answering some requests, we have extended the deadlines for submitting to the 4th Congress on Robotics and Neuroscience, CRoNe2018 (crone2018.org) The new dates are: - Abstract submission: August 10, 2018 -> August 31, 2018 - Paper submission: August 30, 2018 -> September 28, 2018 - Paper acceptance: October 10, 2018 -> October 12, 2018 - Early registration: October 15, 2018 - Conference dates: November 15 to 17, 2018. For details about submissions (topics, templates, etc.), please enter to the submission service webpage: https://easychair.org/conferen ces/?conf=crone2018 As a kind reminder, during its 4th version CRoNe is being focused on four different areas: - *Development of meaning*: with approaches from Developmental Robotics, Machine Learning, and Brain-based theories. - *Predictive coding for cognitive development*: introducing analyses from Neuroscience, Computational Neuroscience, and AI. - *Multimodal cognition*: under neuroscientific and psychological scopes. - *Experimental analyses and methodologies*: presenting novel methodologies for closed-loop brain training, brain functional connectivity analyses and Machine Learning applications. Some confirmed speakers are *Yukie Nagai*, *Wael El-Deredy*, *Lorena Lobo*, *Marley Vellasco*, *Ranganatha Sitaram*,* Agust?n Ib??ez*, among others. Best regards! Crist?bal Nettle V. Robotics and Innovation Center http://innovacionyrobotica.com/ http://innovacionyrobotica.com/~cristobal.nettle -------------- next part -------------- An HTML attachment was scrubbed... URL: From luca.oneto at unige.it Sun Aug 12 07:05:36 2018 From: luca.oneto at unige.it (Luca Oneto) Date: Sun, 12 Aug 2018 13:05:36 +0200 Subject: Connectionists: ESANN 2019 SS - Societal Issues in Machine Learning: When Learning from Data is Not Enough Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Societal Issues in Machine Learning: When Learning from Data is Not Enough" at ESANN 2019 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019). 24-26 April 2019, Bruges, Belgium - http://www.esann.org DESCRIPTION: It has been argued that Artificial Intelligence (AI) is experiencing a fast process of commodification. This characterization is on the interest of big IT companies, but it correctly reflects the current industrialization of AI. This phenomenon means that AI systems and products are reaching the society at large and, therefore, that societal issues related to the use of AI and Machine Learning (ML) cannot be ignored any longer. Designing ML models from this human-centered perspective means incorporating human-relevant requirements such as safety, fairness, privacy, and interpretability, but also considering broad societal issues such as ethics and legislation. These are essential aspects to foster the acceptance of ML-based technologies, as well as to be able to comply with an evolving legislation concerning the impact of digital technologies on ethically and privacy sensitive matters. This special session aims to put forward the state-of-the-art on these increasingly relevant topics among ML theoretician and practitioners. For this purpose, we welcome both solid contributions and preliminary relevant results showing the potential, the limitations and the challenges of new ideas, refinements, or contaminations between the different fields of research, ML, and related approaches in facing real-world problems involving societal issues. We welcome works on ML theory, applications to topics listed below as well as other topics of social relevance. Studies stemming from major research initiatives and projects focusing on the session topics are particularly welcome. TOPICS OF INTEREST: - Fairness as an element in the development of ML techniques; - Ethical issues in the application of ML and related techniques in areas of social impact; - Privacy as a challenge in ML application to problems in the social domain; - Interpretability and explainability of ML and related approaches; - Safety and Security of ML and related methods in safety critical contexts; - Legislative challenges to the use of ML and related methods; - The challenge of complex data for ML and related methods; - Transparency and open data. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.elen.ucl.ac.be/esann/index.php?pg=submission Each paper will undergo a peer reviewing process for its acceptance. Authors should send as soon as possible an e-mail with the tentative title of their contribution to the special session organisers. IMPORTANT DATES: Submission of papers: 19 November 2018 Notification of acceptance: 31 January 2019 ESANN conference: 24 - 26 April 2019 SPECIAL SESSION ORGANISERS: Davide Bacciu, University of Pisa (Italy) Battista Biggio, University of Cagliari (Italy) Jos? D. Mart?n, Universitat de Val?ncia (Spain) Luca Oneto, University of Genoa (Italy) Alfredo Vellido, Universitat Polit?cnica de Catalunya (Spain) Paulo J. G. Lisboa, Liverpool John Moores University (UK) ----------------------------------------------------------------------------------- Luca Oneto, PhD University of Genoa web: www.lucaoneto.com DIBRIS Department e-mail: Luca.Oneto at unige.it SmartLab Laboratory e-mail: Luca.Oneto at gmail.com Via Opera Pia 11a Fax: +39-010-3532897 16145 Genoa ITALY Phone: +39-010-3532192 www.smartlab.ws ----------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From o.e.scharenborg at tudelft.nl Sun Aug 12 14:03:33 2018 From: o.e.scharenborg at tudelft.nl (Odette Scharenborg) Date: Sun, 12 Aug 2018 20:03:33 +0200 Subject: Connectionists: Faculty positions at NTNU, Norway In-Reply-To: References: Message-ID: The Signal Processing Group at NTNU, the Norwegian University of Science and Technology have openings for two permanent faculty positions with focus on machine learning. Professor/Associate Professor in Statistical Machine Learning for Speech Technology at NTNU, Norwegian University of Science and Technology, Trondheim, Norway Faculty position targeting machine learning for pattern recognition, with particular emphasis on applications in speech and language technology at the Signal Processing Group, NTNU. The application deadline is Aug. 31, 2018. See https://www.jobbnorge.no/en/available-jobs/job/154954/professor-associate-professor-in-statistical-machine-learning-for-speech-technology-ie-138-2018 for further information. Professor/Associate Professor in Statistical Machine Learning for Signal Processing at NTNU, Norwegian University of Science and Technology, Trondheim, Norway Faculty position targeting machine learning for analysis, classification, prediction and data mining of (large amounts of) sensor data, typically measurements in time and/or space at the Signal Processing Group, NTNU. The application deadline is Aug. 31, 2018. See https://www.jobbnorge.no/en/available-jobs/job/154952/professor-associate-professor-in-statistical-machine-learning-for-signal-processing-ie-137-2018 for further information. --- Deze e-mail is gecontroleerd op virussen door AVG. http://www.avg.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From nac93 at cornell.edu Sun Aug 12 16:32:54 2018 From: nac93 at cornell.edu (Nicholas Cheney) Date: Sun, 12 Aug 2018 16:32:54 -0400 Subject: Connectionists: Postdoc Available at the University of Vermont (in Meta-Learning for Artificial General Intelligence) Message-ID: A two-year postdoc position with competitive salary is available in Nick Cheney?s lab in the Computer Science Department at the University of Vermont ? and in close collaboration with the EvolvingAI Lab at the University of Wyoming. The research will be in the area of meta-learning for artificial general intelligence ? applied to a variety of problems, especially those in deep reinforcement learning. Responsibilities include helping to design bio-inspired algorithms that enable agents to learn a variety of new tasks without losing the ability to perform previous ones (i.e. avoiding ?catastrophic forgetting?) and testing these method on simulated and/or physical robots. The position will be advised by Professor Nick Cheney at the University of Vermont and Professor Jeff Clune at the University of Wyoming/Uber AI Labs. It is available immediately, and applicants will be considered on a rolling basis ? though some flexibility on start date is possible. Experience in deep learning and/or reinforcement learning is desired. But applicants with strong research backgrounds in relevant fields (e.g. statistics, math, computer science), strong programming and communication skills, and a demonstrated desire to learn more about machine learning and neural networks will also be considered. To apply please send application materials to ncheney at uvm.edu and jeffclu ne at uwyo.edu. These should include a CV with cover letter, transcripts, GRE scores (if available), contact information (including academic relationship to you) for 3 letters of reference, a representative publication, and any additional materials demonstrating verbal communication skills (e.g. a recorded academic talk, or a recorded summary of your research interests, motivation, and goals ? please link videos rather than attaching them) or programming skills (e.g. link to a Github repository). The Evolving Artificial Intelligence Lab (http://EvolvingAI.org ) focuses on robotics and creating artificial intelligence in neural networks, either via deep learning or evolutionary algorithms. The lab is actively engaged in research. Just in the last three years, we have received an NSF CAREER award, participated in a cover article in Nature, produced the 63rd most talked about scientific paper worldwide in 2015, and our deep learning papers were awarded oral presentations (1-6% acceptance rates) at NIPS, CVPR, ICLR, and an ICML workshop. In that same time, we also produced six papers at GECCO, including a best paper award, and three papers in PLoS Computational Biology ? including a cover article with a Reddit AMA about it that over 42,000 people joined to ask 1000+ questions. Additionally, our work has been covered by almost every major international news outlet. Professor Cheney?s lab at the University of Vermont is a newly established core research group within the Vermont Complex Systems Center ? a postdisciplinary team of faculty and students working on real-world, data-rich, and meaningful complex systems problems of all kinds (VermontComplexSystems.org). The lab focuses on developing bio-inspired design and machine learning methods to study and address important complex adaptive systems in our society ? spanning robotics, digital fabrication, healthcare, and social-environmental problems. The lab is growing quickly and strongly funded by past and current projects from DARPA, NASA, the NSF, USDA, ARO, and industrial partnerships. In addition to research output (13 papers in the last two years), the group is also focused on the public engagement of science ? working with government and industrial stakeholders to help realize real-world impacts of AI research, engaging nearly a millions viewers via scientific communication videos, and winning 7 conference/institutional awards for these efforts. The University of Vermont (UVM), established in 1791, is a comprehensive research university with a current enrollment of 12,000+ undergraduate, graduate, and medical students. The scientific and academic environments in the College of Engineering and Mathematical Sciences, and throughout UVM, are dynamic, highly collaborative, and multi-disciplinary. UVM has state of the art core facilities, including the Vermont Advanced Computing Center, the Advanced Genome Technologies Core, and the UVM Medical Center. We also offer generous benefits packages, including health, dental, disability, and life insurance, personal and medical leave, and tuition remission. The University is located in beautiful Burlington, Vermont, about 90 miles south of Montreal. Burlington is consistently ranked as one of the best small cities in America for quality of living, and features year-round outdoor recreation and cultural events. Greater Burlington has a population of approximately 150,000 and enjoys a panoramic setting on Lake Champlain, bordered by the Adirondack and Green Mountains. The University is an Equal Opportunity/Affirmative Action employer and actively encourages applications from women, veterans, and people from diverse racial, ethnic, and cultural backgrounds. More info available at: www.ncheney.com/join-us.html Thank you for your interest in this position, or your help to advertise it! Best regards, Nick Cheney Research Assistant Professor, Computer Science University of Vermont ncheney at uvm.edu ncheney.com Jeff Clune Associate Professor, Computer Science Director, Evolving Artificial Intelligence Lab University of Wyoming jeffclune at uwyo.edu jeffclune.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From s.purcell at exeter.ac.uk Mon Aug 13 06:21:21 2018 From: s.purcell at exeter.ac.uk (Purcell, Sarah) Date: Mon, 13 Aug 2018 10:21:21 +0000 Subject: Connectionists: Postdoctoral Research Fellow roles - EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter Message-ID: 2 Postdoctoral Research Fellow roles - EPSRC Centre for Predictive Modelling in Healthcare University of Exeter, UK Two Research Fellows are required to support the EPSRC Centre for Predictive Modelling in Healthcare (CPMH). The roles are available from 01 October 2018, or a mutually agreeable date soon thereafter, for a period of up to 24 months. The CPMH is a ?2M award which brings together outstanding scientists from mathematics, statistics, computer science and our medical school. With an additional ?7M in research funding, the interface between mathematics, computer science and healthcare is one of the most rapidly expanding areas within the University. The Centre forms part of the Quantitative Biology and Medicine Initiative, which currently consists of 15 PDRAs, 9 fellowship holders, and 10 PhD students. The successful candidates are expected to focus on one of the following areas, depending on their interests and background: (a) Transient dynamics of networks with multiple time scales: there are significant mathematical challenges from disease modelling that require the development of new techniques to understand transient behaviour in multiple timescale systems, especially for systems where there is not a simple factorization into fast and slow subsystems. (b) Numerical investigation of models of cardiac diseases: involving multi-scale excitable and transient dynamics, with a focus on re-entrant arrhythmias specifically concerning development and improvements of antiarrhythmia pacing, low-voltage defibrillation and catheter ablation. [In partnership with cardiologists at the RD&E Hospital, Exeter]. (c) Mathematical modelling and analysis of EEG in dementia: EEG analysis has shown promise in differentiating people with dementia from healthy older adults, and therefore could provide indications for early diagnosis. We will use mathematical models to better understand why differences in EEG occur and combine models and analysis to build improved diagnostic markers. [In partnership with colleagues in Bath, Bristol & Reading]. (d) Mathematical modelling and analysis of polygenic disease: conditions such as diabetes and dementia depend on the simultaneous presence of several genes; they are not inherited as simply as single-gene diseases and therefore require the development of new mathematical approaches to improve diagnosis via e.g. the interpretation and uncertainty quantification of proportions of patients in large data sets (e.g. UK Biobank) using genetic risk scores. [In partnership with diabetologists and neurologists from the Medical School]. For full details please see the job advert. Application deadline: 20 August 2018. For further information please contact Centre Manager Sarah Purcell, email S.Purcell at exeter.ac.uk or telephone 01392 726447. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mjose.escobar at gmail.com Mon Aug 13 08:43:23 2018 From: mjose.escobar at gmail.com (Maria Jose Escobar) Date: Mon, 13 Aug 2018 09:43:23 -0300 Subject: Connectionists: REMINDER: LACONEU2019 Summer School: Computational Neuroscience Message-ID: ----------------------------------------------------------------------- We have the pleasure to invite Graduate and Undergraduate students to participate in: ----------------------------------------------------------------------- LACONEU 2019 V Latin American Summer School in Computational Neuroscience Special Topic: Complex Systems and Network Connectivity January 7-25th, 2019 Valpara?so - CHILE http://www.laconeu.cl ----------------------------------------------------------------------- The principal aims of LACONEU 2019 Summer School are to disseminate and to develop Computational Neuroscience in Latin America, gathering researchers and students with common interests in the beautiful and historical city of Valparaiso, in Chile. LACONEU 2019 expects to foster a collaborative exchange between the attendees, researchers and students, based on fundamental theoretical and practical knowledge, and thus, to help the establishment of strong, long-term collaborations. This version also includes a WORKSHOP on January 16th, 2019 CONFIRMED SPEAKERS: - Demian Battaglia, Theoretical Neuroscience Group, INT, France - Joana Cabral, University of Oxford, UK - Bruno Cessac, INRIA Sophia-Antipolis, France - Dante Chialvo, Universidad Nacional de San Mart?n, Argentina - Rodrigo Cofr?, Universidad de Valpara?so, Chile - Mauro Copelli, Federal University of Pernambuco, Brazil - Maxime Descoteaux, Universit? de Sherbrook, Canada - Wael El-Deredy, Universidad de Valpara?so, Chile - Pamela Guevara, Universidad de Concepci?n, Chile - Mar?a-Jos? Escobar, Universidad T?cnica Federico Santa Mar?a, Valpara?so, Chile - Henrik Jensen, Imperial College London, UK - Thierry Mora, ?cole Normale Superi?ure, France - Patricio Orio, Universidad de Valpara?so, Chile - Adri?n Palacios, Universidad de Valpara?so, Chile - Tom?s P?rez Acle, Fundaci?n Ciencia y Vida, Chile - Laurent Perrinet, INT, France - Peter Robinson, The University of Sydney, Australia - Fernando Rosas, Imperial College London, UK - In?s Samengo, Centro At?mico Bariloche e Instituto Balseiro, Argentina IMPORTANT DATES - Call for Applications: June 8th, 2018 - Application submission deadline: September 15th, 2018 (visit the webpage to see the details) - Acceptance notification: October 31st, 2018 TRAVEL GRANTS ARE AVAILABLE FOR LATIN AMERICAN STUDENTS Looking forward to see you in January! -------------- next part -------------- An HTML attachment was scrubbed... URL: From luca.oneto at unige.it Mon Aug 13 10:42:03 2018 From: luca.oneto at unige.it (Luca Oneto) Date: Mon, 13 Aug 2018 16:42:03 +0200 Subject: Connectionists: INNSBDDL2019 - Call For Paper / Workshop / Tutorials Message-ID: Apologies for cross-posting. Kindly help to distribute this call to your mailing list. INNS BIG DATA AND DEEP LEARNING 2019 SESTRI LEVANTE, GENOA, ITALY, 16-18 APRIL 2019 HTTPS://INNSBDDL2019.ORG/ WEBSITE https://innsbddl2019.org/ VENUE & ORGANIZATION The 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) conference will be held in Sestri Levante, Italy, April 16?18, 2019. The conference is organized by the International Neural Network Society, with the aim of representing an international meeting for researchers and other professionals in Big Data, Deep Learning and related areas. It will feature invited plenary talks by world-renowned speakers in the area, in addition to regular and special technical sessions with oral and poster presentations. Moreover, workshops and tutorials will also be featured. IMPORTANT DATES Deadline for submission of tutorial and workshop proposals: August 31, 2018 Notification of tutorial and workshop proposals: September 30, 2018 Deadline of full paper submission: October 31, 2018 Notification of paper acceptance: December 31, 2018 Camera-ready submission: January 31, 2019 Early registration deadline: January 15, 2019 Registration deadline: January 31, 2019 Conference date: April 16-18, 2019 SCOPE We solicit both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations in any aspect of Big Data and Deep Learning. Both theoretical and practical results are welcome. Example topics of interest includes but is not limited to the following: Big Data Science and Foundations - Novel Theoretical Models for Big Data - New Computational Models for Big Data - Data and Information Quality for Big Data Big Data Mining - Social Web Mining - Data Acquisition, Integration, Cleaning, and Best Practices - Visualization Analytics for Big Data - Computational Modeling and Data Integration - Large-scale Recommendation Systems and Social Media Systems - Cloud/Grid/StreamData Mining - Big Velocity Data - Link and Graph Mining - Semantic-based Data Mining and Data Pre-processing - Mobility and Big Data - Multimedia and Multi-structured Data-Big Variety Data Modern Practical Deep Networks - Deep Feedforward Networks - Regularization for Deep Learning - Optimization for Training Deep Models - Convolutional Networks - Sequence Modeling: Recurrent and Recursive Nets - Practical Methodology Deep Learning Research - Linear Factor Models - Autoencoders - Representation Learning - Structured Probabilistic Models for Deep Learning - Monte Carlo Methods - Confronting the Partition Function - Approximate Inference - Deep Generative Models PROCEEDINGS & SPECIAL ISSUE Works submitted as a regular paper will be published in a serie indexed by Scopus. Submitted papers will be reviewed by some PC members based on technical quality, relevance, originality, significance and clarity. At least one author of an accepted submission should register to present their work at the conference. Selected papers presented at INNS BDDL 2019 will be included in special issues of top journals in the field (prospected journals: Big Data Research, Transaction on Neural Networks and Learning System, Neurocomputing, etc). ----------------------------------------------------------------------------------- Luca Oneto, PhD University of Genoa web: www.lucaoneto.com DIBRIS Department e-mail: Luca.Oneto at unige.it SmartLab Laboratory e-mail: Luca.Oneto at gmail.com Via Opera Pia 11a Fax: +39-010-3532897 16145 Genoa ITALY Phone: +39-010-3532192 www.smartlab.ws ----------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From rothkopf at fias.uni-frankfurt.de Mon Aug 13 13:39:06 2018 From: rothkopf at fias.uni-frankfurt.de (Constantin Rothkopf) Date: Mon, 13 Aug 2018 19:39:06 +0200 Subject: Connectionists: Faculty position in perception at the Centre for Cognitive Science, Technische Universitaet Darmstadt Message-ID: The Centre for Cognitive Science at Technische Universit?t Darmstadt invites applications for a: Professorship in "Perception" (W2/W3). We are seeking an expert in perceptual research who will join us in developing further the new Centre for Cognitive Science at Technische Universit?t Darmstadt. The professorship is to be filled in the Institute of Psychology within the Department of Human Sciences and will complement and interact with existing research activities in Cognitive Science at Technische Universit?t Darmstadt. The Centre interacts strongly with the engineering departments and, hence, we expect experience with interdisciplinary collaborations. The Centre?s research programme is based on computational and engineering approaches to Cognitive Science and relevant research methodologies will include, but are not limited to, theoretical studies, human experimental work, cognitive engineering applications, the use of machine learning and artificial intelligence in the modeling of human cognition, or ubiquitous sensing. Successful appointees are expected to contribute to teaching in the new Cognitive Science study programme (in particular, integrative and interdisciplinary classes) and to other undergraduate and graduate level courses in the Department of Human Sciences. The position is tenured with a remuneration package commensurate with experience and qualifications, following the German "W-Besoldung" and subject to negotiations between the applicant and the university directorate. The regulations for employment are specified under ?? 61 and 62 HHG (Hessisches Hochschulgesetz). The Technische Universit?t Darmstadt intends to increase the number of female faculty members 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. The Technische Universit?t Darmstadt is certified as a family-friendly university and offers a dual career program. Applications should include a curriculum vitae, list of publications, copies of relevant diplomas, as well as a research and teaching statement, preferably all in a single PDF file. Applications for the position should be directed to the Dean of the Department of Human Sciences, Professor Petra Grell (dekanat at humanw.tu-darmstadt.de). Please include the code number of the position you apply for. Informal enquiries may be addressed to Professor Constantin Rothkopf (Tel +49 6151 16- 23367; constantin.rothkopf at cogsci.tu-darmstadt.de). For further information please also visit www.cogsci.tu-darmstadt.de. Code No. 365 Application deadline: September 21, 2018 From marcus.hutter at gmx.net Tue Aug 14 01:47:37 2018 From: marcus.hutter at gmx.net (Marcus Hutter) Date: Tue, 14 Aug 2018 15:47:37 +1000 Subject: Connectionists: Research Fellow Position & PhD Scholarships Available at AI@RSCS@ANU Message-ID: <5f53716a-ad84-a68e-a9f7-d73be1e36bad@gmx.net> Research Fellow Position ------------------------ Intelligent Agents Group Research School of Computer Science Australian National University We are seeking an outstanding Research Fellow interested in Universal AI with excellent mathematical background and research expertise in * Machine Learning or * (Algorithmic) Information Theory or * (Bayesian) Statistics or * Artificial Intelligence or * related area. Possible backgrounds are a PhD, or near completion of a PhD, in mathematics, physics, computer science, engineering, or related. * Location: Australian National University, Canberra, ACT, Australia * The new employee will interact with Marcus Hutter and other people in the RSCS at the ANU. * The position is available immediately - fixed term - for 2-3 years - with potential prolongation. * Salary Range for Research Fellow: Level B: A$100'000 - A$110'000 per year plus 17% superannuation. * Enquiries: Prof. Marcus Hutter, E: marcus.hutter at anu.edu.au, T: +61 2 6125 1605. * Applications will be accepted throughout the year 2018 until the position is filled. * Further information for applicants: http://www.hutter1.net/rsise/postdoc18.htm PhD Scholarships ---------------- We also have a number of PhD scholarships available. See http://www.hutter1.net/official/jobs.htm#phd for details and how to apply (deadline incl. reference letters is 31 August!). Thanks for your interest ______________________ Marcus Hutter, Professor Associate Director RSCS RSISE, Room B259, Building 115 Australian National University Corner of North and Daley Road Canberra ACT 2601, Australia Phone: +61(0)2 612 51605 (time zone GMT+10:00) Fax: +61(0)2 612 58651 Email: marcus.hutter at anu.edu.au http://www.hutter1.net/ --------------------------------------------------------------- The idyllic campus of the Australian National University (ANU) is located in the city of Canberra, the Federal Capital of Australia, ranked 1st of 362 by OECD in 2014 and 3rd by Lonely Planet in 2018. The ANU consistently ranks among the top of all Universities in the southern hemisphere, in the top 5 in the Asia/Pacific region, and in the top 50 worldwide. From jose at rubic.rutgers.edu Tue Aug 14 07:31:38 2018 From: jose at rubic.rutgers.edu (=?UTF-8?Q?Stephen_Jos=c3=a9_Hanson?=) Date: Tue, 14 Aug 2018 07:31:38 -0400 Subject: Connectionists: New paper on Deep-Learning and Noise: dramatic speedup and accuracy. Message-ID: https://arxiv.org/abs/1808.03578 Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning Noah Frazier-Logue ,Stephen Jos? Hanson (Submitted on 10 Aug 2018) Multi-layer neural networks have lead to remarkable performance on many kinds of benchmark tasks in text, speech and image processing. Nonlinear parameter estimation in hierarchical models is known to be subject to overfitting. One approach to this overfitting and related problems (local minima, colinearity, feature discovery etc.) is called dropout (Srivastava, et al 2014, Baldi et al 2016). This method removes hidden units with a Bernoulli random variable with probabilitypover updates. In this paper we will show that Dropout is a special case of a more general model published originally in 1990 called the stochastic delta rule ( SDR, Hanson, 1990). SDR parameterizes each weight in the network as a random variable with mean?wijand standard deviation?wij. These random variables are sampled on each forward activation, consequently creating an exponential number of potential networks with shared weights. Both parameters are updated according to prediction error, thus implementing weight noise injections that reflect a local history of prediction error and efficient model averaging. SDR therefore implements a local gradient-dependent simulated annealing per weight converging to a bayes optimal network. Tests on standard benchmarks (CIFAR) using a modified version of DenseNet shows the SDR outperforms standard dropout in error by over 50% and in loss by over 50%. Furthermore, the SDR implementation converges on a solution much faster, reaching a training error of 5 in just 15 epochs with DenseNet-40 compared to standard DenseNet-40's 94 epochs. -- Stephen Jos? Hanson Full Professor Director RUBIC (University-Wide) Department of Psychology (NK) Cognitive Science Center (NB) -------------- next part -------------- An HTML attachment was scrubbed... URL: From zk240 at cam.ac.uk Tue Aug 14 09:58:38 2018 From: zk240 at cam.ac.uk (Zoe Kourtzi) Date: Tue, 14 Aug 2018 14:58:38 +0100 Subject: Connectionists: Postdoc position in Computational Cognitive Neuroscience Message-ID: A post-doctoral Research Associate position in Computational Cognitive Neuroscience is available to work at the Adaptive Brain Lab, Univ of Cambridge, UK (http://www.abg.psychol.cam.ac.uk ). The position will focus on advanced computational approaches for modelling behavioural and multimodal brain imaging data (e.g. 7T brain imaging, EEG) including Bayesian modelling, machine learning approaches, reinforcement learning and deep learning. Research in the lab aims to understand how humans of all ages translate sensory experience into complex decisions and adaptive behaviours by taking into account previous experience and learning. We address this challenge using an interdisciplinary approach that combines behavioural paradigms, multimodal brain imaging (MRI, EEG, MEG, TMS) and state-of-the-art computational methods. We apply these techniques to study the young and ageing brain and understand adaptive behaviours across the lifespan. The successful applicant will work with an interdisciplinary team to combine behavioural paradigms, with state-of-the-art brain imaging and computational modelling. They will receive multi-disciplinary research training at the interface between neuroscience, computer science, engineering and clinical applications. Applicants should have a PhD, Masters and/or First Degree, together with a strong academic track record, in a relevant area (e.g., Neuroscience, Mathematics, Engineering, Computer Science, Physics). Programming skills are highly desirable and experience with computational modeling and/or brain imaging preferable. Informal inquiries about this post may be sent to Prof Zoe Kourtzi (zk240 at cam.ac.uk ). Please send your CV and a statement of research background and interests. Please note the closing date for applications is 12th September 2018. Please apply online: http://www.jobs.cam.ac.uk/job/18466/ Please quote reference PJ16436 on your application and in any correspondence about this vacancy. -------------- next part -------------- An HTML attachment was scrubbed... URL: From castro.neuro at pm.me Tue Aug 14 12:25:08 2018 From: castro.neuro at pm.me (=?UTF-8?Q?Andr=C3=A9_Castro?=) Date: Tue, 14 Aug 2018 16:25:08 +0000 Subject: Connectionists: DEADLINE EXTENSION ESI SyNC 2018 - Integrative Mechanisms of Cognitive Neuroscience Message-ID: Dear all, upon demand we decided to extend the registration deadline to the 22nd August. The conference will begin in the morning of 30th August and end in the evening of 31st August 2018 at the Ernst Str?ngmann Institute in Frankfurt, Germany. Our confirmed invited speakers are the following: - David Melcher (University of Trento, Italy) -- "Temporal rhythms of visual perception" - Dimitri Kullmann (UCL, UK) -- "Hippocampal gamma oscillations: dynamical properties and closed-loop manipulation" - Matteo Carandini (UCL, UK) -- "Local and global neural correlates of vision, action, and reward" - Biyu He (NYU, US) -- ''Large-scale brain dynamics underlying visual perceptual awareness'' - Tobias Donner (UKE, Germany) -- ''Understanding Variability in Brain and Behavior'' - Wim Vanduffel (KU Leuven, Belgium) -- "Optogenetic interrogation of the attention network in primates" - Anitha Pasupathy (University of Washington, US) -- "Encoding things and stuff: multiplexed form and texture signals in primate V4" - Floris de Lange (Radboud University, Netherlands) -- "How do prior expectations influence sensory computations?" - Hannah Monyer (Heidelberg University, Germany) -- ''GABAergic neurons ? the cellular substrate for local and long-range synchrony'' - James Bisley (UCLA, US) -- ''The complementary roles of areas LIP and FEF in guiding eye movements'' This year we have the pleasure to announce as our special guest the choreographer Ildik? T?th! In order to register, please fill out the registration form (that can be found at http://www.esi-frankfurt.de/registration/ ) and email it to events at esi-frankfurt.de. Please see our [website](http://www.esi-frankfurt.de/esisync/esisync-home/) for more details and updates on the programme. Organising Committee: Wolf Singer Pascal Fries Andr? Castro Tommaso Tosato Ana Broggini Miriam Mueller Nina Merkel Renata Vajda -------------- next part -------------- An HTML attachment was scrubbed... URL: From raphael.rubino at gmail.com Tue Aug 14 10:52:52 2018 From: raphael.rubino at gmail.com (=?UTF-8?Q?Rapha=C3=ABl_Rubino?=) Date: Tue, 14 Aug 2018 16:52:52 +0200 Subject: Connectionists: Open Positions: PhD and Post-doc in Machine Learning for Translation at Saarland University Message-ID: Open positions: PhD and Post-doc in Machine Learning for Translation at Saarland University The DFG-funded CRC Information Density and Linguistic Encoding (SFB 1102) is opening two positions (PhD and Post-doc) within the project B6 ?Neural Feature and Representation Learning for Information Density Based Translationese Classification?. Application deadline: 15th September 2018 Start date: ASAP Location: Saarbr?cken, Germany Duration: 3+ and 2+ years for PhD and Post-doc respectively. More information: raphael.rubino at dfki.de Successful applicants will work at Saarland University, a leading centre for language research which offers a dynamic and stimulating environment. The Collaborative Research Centre "Information Density and Linguistic Encoding", which the open positions are part of, supports a broad range of experimental, corpus-based, and cognitive modelling research activities, with over 40 staff. The Saarland University Campus clusters several top-ranked research institutions such as the German Research Centre for Artificial Intelligence (DFKI), the Max Planck Institute for Informatics, Max Planck Institute for Software Systems and the Computer Science Department at Saarland University. Research conducted will focus on: - machine learning, deep learning for translation - analysis of translation fingerprints (translationese) - representation and transfer learning with end-to-end architectures - interpretation, dissemination and visualisation of learned representations General responsibilities include: - fundamental and empirical research - publication in top conferences/journals - development of prototypes, applications and demos - contribution to teaching and supervision Requirements: - MSc/PhD in computer science, machine learning, computational linguistics or similar - for Post-doc, strong background and publications in machine learning, deep learning, MT and NLP - strong problem solving and programming skills, independent and creative thinking - strong team working and communication skills - excellent command of written and oral English Command of German or other languages will be helpful, but is not a requirement. Applications are required to include: - short cover letter - CV - list of publications - brief summary of research interests - contact information for three references Please send your electronic application (preferably in PDF format) to Dr. Raphael Rubino (raphael.rubino at dfki.de) and Prof. Dr. Josef van Genabith ( josef.van_genabith at dfki.de) referring to the position (PhD or Post-doc) in the SFB 1102 B6 Project. The positions remain open until filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Michael_Frank at brown.edu Tue Aug 14 14:50:36 2018 From: Michael_Frank at brown.edu (Michael J Frank) Date: Tue, 14 Aug 2018 14:50:36 -0400 Subject: Connectionists: Human Cognition faculty position Message-ID: Sending on behalf of Dave Sobel - please see attached! Michael Michael J Frank, PhD Edgar L. Marston Professor of Cognitive, Linguistic and Psychological Sciences Laboratory of Neural Computation and Cognition Carney Institute for Brain Science Brown University http://ski.clps.brown.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: HumanCognitionAd.doc Type: application/msword Size: 96768 bytes Desc: not available URL: From barak at pearlmutter.net Tue Aug 14 16:22:45 2018 From: barak at pearlmutter.net (Barak A. Pearlmutter) Date: Tue, 14 Aug 2018 22:22:45 +0200 Subject: Connectionists: New paper on Deep-Learning and Noise: dramatic speedup and accuracy. In-Reply-To: References: Message-ID: > https://arxiv.org/abs/1808.03578 > Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning > Noah Frazier-Logue, Stephen Jos? Hanson Very interesting paper. For those interested, there was some nice discussion of the work on reddit: https://www.reddit.com/r/MachineLearning/comments/96vgvr/r_180803578_dropout_is_a_special_case_of_the/ From m.plumbley at surrey.ac.uk Wed Aug 15 05:56:47 2018 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Wed, 15 Aug 2018 09:56:47 +0000 Subject: Connectionists: Making Sense of Sounds Data Challenge Message-ID: Dear Connectionists, This data challenge may be of interest to people working on applications in audio and/or small datasets. Best wishes, Mark Plumbley ----- We hereby announce the "Making Sense of Sounds" (MSoS) Challenge: http://cvssp.org/projects/making_sense_of_sounds/site/challenge/ The task in the MSoS Challenge is to classify audio files as belonging to one of five broad categories derived from human classification experiments: Nature, Human, Music, Effects, or Urban. The MSoS Challenge has a development dataset of 1500 five-second audio files. Performance will be judged using an evaluation dataset of 500 audio files. The results of the MSoS Challenge will be announced at the DCASE 2018 Workshop: http://dcase.community/workshop2018/ For more information about the challenge and how to take part, see: http://cvssp.org/projects/making_sense_of_sounds/site/challenge/ Important dates: Challenge announcement and development data set release: 8 Aug 2018 Evaluation data set release: 1 Oct 2018 Submission open: 1 Oct 2018 Submission deadline: 30 Oct 2018 Results announced: 19/20 Nov 2018 (at DCASE 2018 Workshop) Contact: MSoS.challenge at gmail.com We look forward to your submission! Oliver Bones On behalf of the MSoS Challenge organizers Additional information: Humans (with no hearing impairment) use sound in everyday life constantly to interpret their surrounding environment, refocus their attention, detect anomalies and communicate through language and vocal emotional expressions. They are able to identify a large number of sounds, e.g., the call of a bird, the noise of an engine, the cry of a baby, the sound of a string instrument. They are also capable of generalising from past experience to new sounds, e.g. recognising a dulcimer or a kora as a musical instrument despite having never heard this instrument before in their life. The MSoS data challenge calls for machine systems to attempt to replicate this human ability. The task is to classify audio data as belonging to one of five broad categories, which were derived from human classification. In a psychological experiment at the University of Salford, participants were asked to categorise 60 sound types, chosen so as to represent the most commonly used search terms on Freesound.org. Five principal categories were identified by correspondence analysis and hierarchical cluster analysis of the human data: Nature Human Music Effects Urban Within each class the data for the task consists of varying sound types, e.g., different animals in the 'Nature' category or different instruments in the 'Music' category such as 'guitar' and 'mandolin'. Most of the sound types are represented by several instances themselves, coming from different recordings, e.g. different guitars. The machine classifier is therefore forced to reproduce a human capability to be successful: Humans are able to identify a hitherto unheard animal sound as belonging to an animal based upon previously established schemas, and a hitherto unheard musical instrument as a musical instrument, etc. Full details can be found on the MSoS website: http://cvssp.org/projects/making_sense_of_sounds/site/challenge/ -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk ============================================================================= DCASE 2018 - Detection and Classification of Acoustic Scenes and Events Challenge: 30 March - 31 July 2018 Workshop: 19 - 20 November 2018, Surrey, UK http://dcase.community/workshop2018/ http://dcase.community/challenge2018/ ============================================================================= From s.purcell at exeter.ac.uk Wed Aug 15 06:18:16 2018 From: s.purcell at exeter.ac.uk (Purcell, Sarah) Date: Wed, 15 Aug 2018 10:18:16 +0000 Subject: Connectionists: MRC Skills Development Fellowships at the University of Exeter Message-ID: Dear Colleagues, The University of Exeter is delighted to be partnering with the Medical Research Council (MRC) to offer exceptional candidates the opportunity to hold a 3 year Skills Development Fellowship, commencing between November 2018 and March 2019. MRC Skills Development Fellowships are prestigious personal awards, aimed at exceptional early career researchers with a strong background in mathematical, statistical, computational or biophysical modelling and analysis, or for more advanced researchers from a biomedical or clinical background who are seeking to develop strong quantitative skills. The University of Exeter has a wide variety of opportunities to develop these quantitative skills in the context of neuroscience and neurology, endocrinology and metabolism, and primary care population and health services research. Successful applicants will be housed within the brand new ?52M Living Systems Institute where they will be co-located with 8 other MRC Fellowship holders. They will receive 3 years of funding with substantial budgets for travel, skills development and consumables as determined by their project needs. As part of the Fellowship candidates will also have the opportunity to spend up to a year in an internationally leading second research centre. Additionally, candidates will receive a ?5,000 career development budget from the University of Exeter. Full details of this opportunity are available from www.exetermrcsdf.ac.uk and in the information video. Applications are now open with a closing date of 13th September 2018. Please do share these details with any potentially interested parties. -------------- next part -------------- An HTML attachment was scrubbed... URL: From barros at informatik.uni-hamburg.de Wed Aug 15 08:22:13 2018 From: barros at informatik.uni-hamburg.de (Pablo Barros) Date: Wed, 15 Aug 2018 14:22:13 +0200 Subject: Connectionists: Deadline extension: IROS 2018 Workshop Crossmodal Learning for Intelligent Robotics Message-ID: The submission deadline for contributions to our workshop has been extended to *29.08.18* See you in Madrid! Pablo CALL FOR PAPERS for the international workshop: * Crossmodal Learning for Intelligent Robotics * in conjunction with IEEE/RSJ IROS 2018 * Madrid, Spain - Friday 5 October 2018 * * Website: http://www.informatik.uni-hamburg.de/wtm/WorkshopCLIR18/index.php * I. Aim and Scope The ability to efficiently process crossmodal information is a key feature of the human brain that provides a robust perceptual experience and behavioural responses. Consequently, the processing and integration of multisensory information streams such as vision, audio, haptics and proprioception play a crucial role in the development of autonomous agents and cognitive robots, yielding an efficient interaction with the environment also under conditions of sensory uncertainty. Multisensory representations have been shown to improve performance in the research areas of human-robot interaction and sensory-driven motor behaviour. The perception, integration, and segregation of multisensory cues improve the capability to physically interact with objects and persons with higher levels of autonomy. However, the multisensory input must be represented and integrated in an appropriate way so that they result in a reliable perceptual experience aimed to trigger adequate behavioural responses. The interplay of multisensory representations can be used to solve stimulus-driven conflicts for executive control. Embodied agents can develop complex sensorimotor behaviour through the interaction with a crossmodal environment, leading to the development and evaluation of scenarios that better reflect the challenges faced by operating robots in the real world. This half-day workshop focuses on presenting and discussing new findings, theories, systems, and trends in crossmodal learning applied to neurocognitive robotics. The workshop will feature a list of invited speakers with outstanding expertise in crossmodal learning. II. Target Audience This workshop is open to doctoral students and senior researchers working in computer and cognitive science, psychology, neuroscience and related areas with the focus on crossmodal learning. III. Confirmed Speakers ??? 1.?? * Yulia Sandamirskaya * ??????????? Institute of Neuroinformatics (INI), University and ETH Zurich ??? 2.?? * Angelo Cangelosi * ??????????? Plymouth University and University of Manchester, UK ??? 3.?? * Stefan Wermter * ??????????? Hamburg University, Germany IV. Submission ???? 1. Topics of interest: ??? - New methods and applications for crossmodal processing ????? (e.g., integrating vision, audio, haptics, proprioception) ??? - Machine learning and neural networks for multisensory robot perception ??? - Computational models of crossmodal attention and perception ??? - Bio-inspired approaches for crossmodal learning ??? - Crossmodal conflict resolution and executive control ??? - Sensorimotor learning for autonomous agents and robots ??? - Crossmodal learning for embodied and cognitive robots ??? 2. For paper submission, use the following IEEE template: ??? * ??? 3. Submitted papers should be limited to *2 pages (extended abstract)* or *4 pages (short paper)*. ??? 4. Send your pdf file to barros at informatik.uni-hamburg.de AND jirak at informatik.uni-hamburg.de Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Contributors to the workshop will be invited to submit extended versions of the manuscripts to a special issue (to be arranged).? Submissions will be peer reviewed consistent with the journal practices. V. Important Dates ??? * Paper submission deadline: August 15, 2018 ??? * Notification of acceptance: September 5, 2018 ??? * Camera-ready version: September 15, 2018 ??? * Workshop: Friday 5 October 2018 VI. Organizers ??? * German I. Parisi * Hamburg University, Germany ??? * Pablo Barros * Hamburg University, Germany ??? * Doreen Jirak * Hamburg University, Germany ??? * Jun Tani * Okinawa Institute of Science and Technology, Japan ??? * Yoonsuck Choe * Samsung Research & Texas A&M University, TX, USA -- Dr.rer.nat. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html https://www.inf.uni-hamburg.de/en/inst/ab/wtm/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From rune2earth at gmail.com Wed Aug 15 08:08:52 2018 From: rune2earth at gmail.com (Rune Berg) Date: Wed, 15 Aug 2018 14:08:52 +0200 Subject: Connectionists: [Job] Post doc in Motor circuits Message-ID: <4ACE45FB-0D2A-4587-91A5-6F5C685D55BC@gmail.com> Post doc position in Motor circuits, University of Copenhagen. We are seeking a highly motivated postdoctoral fellow for a project at the interface between neural circuits behind locomotion and computational neuroscience. The research will take place at the University of Copenhagen in the lab of Dr. Rune W. Berg (http://berg-lab.net ). The project involves using the parallel recordings from large populations of neurons primarily in motor circuits in the spinal cord and brainstem of awake behaving mice and rats. The experimental recordings will consist of chronically implanted multi-electrode arrays (approximately 256 channels) in the parts of the spinal circuitry where the core elements of movement activity is generated. Furthermore, we will implement imaging of genetically expressed Calcium indicaters as a complementary means to the extracellular recordings. Preferably, the applicant has experience some or most of these areas: In-vivo electrophysiological experiments Optogenetics/virus/genetic techniques Data analysis using matlab/python and spike sorting/Calcium imaging. Computational neuroscience/ modeling aspects of neuroscience. The successful applicant will join a thriving neuroscience environment at the Department of neuroscience, University of Copenhagen. The applicant will be the major participant in all aspects of the project, from designing and performing experiments, developing technical advances, performing data analysis and presenting the results. The post doc is funded for 3 years in the first instance and is available immediately. Please contact runeb at sund.ku.dk for question and comments or go to http://berg-lab.net for more information. Submit your application here: https://employment.ku.dk/all-vacancies/?show=147814 Closes: 15th September 2018 Living in Copenhagen is a unique and wonderful experience. University of Copenhagen has an International staff mobility program to help accommodate international researcher with practical matters, before arrival such as with residence permit, housing and childcare/school as well as during the stay with salary, tax, pension, insurance, banking as well as getting accustomed with language and culture. They also have a special team to accommodate partners and spouses to locate the professional opportunities in Denmark (dual career/spouse network ). The Danish tax authorities have a special low tax (27%) for foreign researchers for the first 5 years (learn more ). For other issues see: Pros and cons of living in Copenhagen -------------- next part -------------- An HTML attachment was scrubbed... URL: From M.Goodfellow at exeter.ac.uk Wed Aug 15 09:17:47 2018 From: M.Goodfellow at exeter.ac.uk (Goodfellow, Marc) Date: Wed, 15 Aug 2018 13:17:47 +0000 Subject: Connectionists: =?windows-1252?q?Save_the_date_ICTALS2019_=28IWSP?= =?windows-1252?q?9=29=2C_Exeter=2C_UK=2C_September_2nd_=96_5th_2019?= Message-ID: Dear All, The International Conference for Technology and AnaLysis of Seizures, 2019 (ICTALS2019) will take place at the University of Exeter, September 2nd ? 5th 2019. The goal of this conference is to bring together neurologists, neuroscientists, researchers from quantitative disciplines and people with lived experience of epilepsy in order to work as a community to advance our understanding of epilepsy and develop practical ways to improve diagnosis and treatment. This is the second ICTALS conference, which is an evolution of the previous International Workshop on Seizure Prediction (IWSP) series. The theme for this year?s conference will be: ?The Epilepsy Journey: from first seizure to treatment and beyond?. We will emphasise how advances in our understanding of the dynamics of brain networks can be used to make a difference to people with epilepsy at all points of their journey: from elucidating the causes of the first seizure to diagnosing epilepsy, understanding how ictogenic networks give rise to recurrent seizures and how this insight can inform personalised treatment. To encourage this focus on translatable output of research we will seek to include all relevant communities. In addition to focussing on current scientific, clinical and technological advances, we will take steps to increase accessibility for people with lived experience of epilepsy. We have begun to create a webpage for the conference, which we will populate with further information in due course. You can find this at: http://exeter.ac.uk/ictals2019 In the mean time, please save the date above in your diary and we will follow up with further information, including registration and programs over the next few months. Best wishes Marc Goodfellow (on behalf of the local organising committee). https://emps.exeter.ac.uk/mathematics/staff/mg401 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ale at sissa.it Wed Aug 15 23:51:12 2018 From: ale at sissa.it (Alessandro Treves) Date: Thu, 16 Aug 2018 05:51:12 +0200 Subject: Connectionists: Up to 5 PhD fellowships in Cognitive Neuroscience at SISSA, Trieste, Italy In-Reply-To: <20180213181557.Horde.Z81wGx8V4mxagx1NV96QsTA@webmail.sissa.it> References: <20180213181557.Horde.Z81wGx8V4mxagx1NV96QsTA@webmail.sissa.it> Message-ID: <20180816055112.Horde.4NXjQB8V4mxbdPSw32TRjBA@webmail.sissa.it> SISSA is an elite postgraduate research institution, focused on Maths, Physics and Neuroscience. It operates in English: many among its students and faculty are not Italian. Campus above Trieste, overlooking the Gulf. Research approaches in the CNS PhD https://phdcns.sissa.it/ span the range from cognitive psychology and imaging in humans to behavioural neuroscience and multiple single-unit recording in rats, mathematical and computational modeling; with research groups led by Domenica Bueti, Davide Crepaldi, Mathew Diamond, Chris Mathys, Raffaella Rumiati, Alessandro Treves and Davide Zoccolan. Allied approaches are pursued in other SISSA PhDs. All admitted students receive a 4-year fellowship and engage full-time in research based in Trieste, with limited coursework in the first few months, talks and seminars throughout the year and a TEX event in the summer, see https://indico.sissa.it/event/26/ Admission exam Sept 13-4, 2018; Deadline for applications: Aug 31, 2018. -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602 From martaruizcostajussa at gmail.com Thu Aug 16 03:32:21 2018 From: martaruizcostajussa at gmail.com (Marta Ruiz) Date: Thu, 16 Aug 2018 09:32:21 +0200 Subject: Connectionists: 1st CfP: Special Issue of Computational Linguistics: Multilingual and Interlingual Semantic Representations for Natural Language Processing In-Reply-To: References: Message-ID: *CfP: Special Issue of Computational Linguistics: * *Multilingual and Interlingual Semantic Representations forNatural Language Processing* Special Issue of Computational Linguistics: Multilingual and Interlingual Semantic Representations for Natural Language Processing Guest Editors: Marta R. Costa-juss?, Cristina Espa?a-Bonet, Pascale Fung, Noah A. Smith * Submission deadline: March 1, 2019 * --------------------------------------------------------------------------------------------------- Call for Papers --------------- Semantic representations at different levels ? word, sentence, paragraph ? are central to many solutions to Natural Language Processing (NLP) tasks. Text annotation, information retrieval, sentiment analysis, text summarisation, question answering, and machine translation solutions have achieved significant improvements using semantic representations of words. The number of tasks has also grown with the popularisation of unsupervised word embeddings, a fast and efficient way of estimating continuous representations of words. Now, representations derived from deep learning methods are giving a new boost to the field. But in an increasingly globalised world, multilingual and cross-language applications are needed. Extensions to monolingual representations of words such as multilingual Brown clusters, multilingual or interlingual word embeddings, multilingual topic models, and cross-lingual semantic parsers have been successfully applied, though performance lags behind their monolingual counterparts. On the other hand, multilinguality should be able to overcome one of the main limitations of standard representations: multiple senses of a word are conflated into a single vector. In addition, representations of sentences and paragraphs are arising through the encoder-decoder approach (in the fields of natural language inference, machine translation, and text summarization, among others) and the extension to multilingual inputs is equally or even more interesting for NLP applications. Abstract semantic representations attract interest both in academia and industry, as shown by the wide and varied publications from universities and companies on this topic. Achieving improvements in this direction will change the conception of translation (from pairwise to interlingua), enable greater sharing among different NLP applications, and overcome low-resource limitations through zero-shot learning, among other advantages. This research direction will not only increase the performance of current architectures in cross-language settings, but will also lead to novel language-independent architectures and tasks for NLP. Topics ------ This call aims to motivate research on multilingual and interlingual representations that, in the context of any NLP task, go beyond projections from one language into another one and that target crosslinguality. The special topic proposed aims to put together a compact and openly accessible volume, which presents high quality research works that cover an overview of this multidisciplinary field as well as most recent advances. Topics include, but are not limited to: ? Multilingual and crosslingual embeddings for words, sentences, paragraphs, or documents ? Interlingual representations for disambiguation (e.g., embeddings of interlingual word senses, concepts, etc.) ? Disambiguated representations through multilinguality ? Intrinsic evaluation of multilingual or crosslingual representations ? Extrinsic evaluation on NLP tasks We strongly encourage submissions that include experimental findings on languages and dialects less commonly studied in natural language processing at present. Submission Date --------------- Submission of full articles: March 1st 2019 Submission Instructions ----------------------- Papers should be submitted according to the Computational Linguistics style: *http://cljournal.org/ * As in regular submissions to the journal, paper submissions should be made through the CL electronic submission system: *http://cljournal.org/submissions.html *. In Step 1 of the submission process, please select 'Special Issue: Multilingual and Interlingual Semantic Representations' under the 'Journal Section' heading. Please note that papers submitted to a special issue undergo the same reviewing process as regular papers. Guest Editors ------------- *Marta R. Costa-juss?* Universitat Polit?cnica de Catalunya, Barcelona, Spain marta.ruiz AT upc.edu *Cristina Espa?a i Bonet* DFKI and Saarland University, Saarbr?cken, Germany cristinae AT dfki.de *Pascale Fung* Hong Kong University of Science and Technology pascale AT ee.ust.hk *Noah A. Smith* University of Washington and Allen Institute for Artificial Intelligence nasmith AT cs.washington.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From piratepeel at gmail.com Thu Aug 16 06:45:40 2018 From: piratepeel at gmail.com (Leto Peel) Date: Thu, 16 Aug 2018 12:45:40 +0200 Subject: Connectionists: Fwd: CFP COMPLEX NETWORKS 2018 Cambridge UK Deadline September 04, 2018 In-Reply-To: References: Message-ID: *Apologies for any cross posting* *Seventh** Int. Conference on Complex Networks & Their Applications Cambridge, UK Dec. 11- 13, 2018* http://www.complexnetworks.org You are cordially invited to submit your contribution until September 04, 2018. *Full papers (not previously published up to 12 pages) *and *Extended Abstracts* *(about published or unpublished research up to 3 pages)* *are welcome.* To submit your contribution visits the submission page . - *Papers *will be included in the conference *proceedings edited by Springer* - *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* - Extended versions will be invited for publication in *special issues of international journals*: - Applied Network Science edited by Springer - Computational Social Networks edited by Springer - Network Science edited by Cambridge University Press - Online Social Networks and Media edited by Elsevier - Future Internet Edited by MDPI *Speakers:* Vittoria Colizza Inserm, France Aristides Gionis Aalto University, Finland Heather Harrington University of Oxford, UK Sune Lehmann Technical University of Denmark, Denmark Hernan Makse City College of New York, USA Romualdo Pastor-Satorras Universitat Polit?cnica de Catalunya, Spain Markus Strohmaier RWTH Aachen Univeristy, Germany Donald Towsley UMass Amherst, USA *Tutorials:* December 10, 2018 Jes?s G?mez-Garde?es Univesity of Saragoza, Spain Silvio Lattanzi Google Zurich, Switzerland *Topics include, but are not limited to:* - Models of Complex Networks - Structural Network Properties and Analysis - Complex Networks and Epidemics - Community Structure in Networks - Community Discovery in Complex Networks - Motif Discovery in Complex Networks - Complex Networks Mining - Dynamics and Evolution Patterns of Complex Networks - Link Prediction - Multiplex Networks - Network Controllability - Synchronization in Networks - Visual Representation of Complex Networks - Large-scale Graph Analytics - Social Reputation, Influence, and Trust - Information Spreading in Social Media - Rumour and Viral Marketing in Social Networks - Recommendation Systems and Complex Networks - Financial and Economic Networks - Complex Networks and Mobility - Biological and Technological Complex Networks - Mobile call Complex Networks - Bioinformatics and Earth Sciences Applications - Resilience and Robustness of Complex Networks - Complex Networks for Physical Infrastructures - Complex Networks, Smart Cities and Smart Grids - Political networks - Supply chain networks - Complex networks and information systems - Complex networks and CPS/IoT - Graph signal processing - Cognitive Network Science - Network Medicine - Network Neuroscience - Quantifying success through network analysis - Temporal and spatial networks - Network Embedding *GENERAL CHAIRS* Hocine Cherifi University of Burgundy, France Pietro Lio University of Cambridge, UK Renaud Lambiotte University of Oxford, UK *ADVISORY BOARD* Jon Crowcroft University of Cambridge, UK Raissa D'Souza UC Davis, USA Eugene Stanley Boston University, USA Ben Y. Zhao University of Chicago, USA *PROGRAM CHAIR* Luca Maria Aiello Nokia-Bell Labs, UK Chantal Cherifi University of Lyon, France Luis M. Rocha Indiana University, USA *POSTER CHAIRS* Elsa Arcaute UCL, UK Marton Karsai ENS/INRIA Lyon, France Jat Singh University of Cambridge, UK *LIGHTNING CHAIRS* Sebastian Ahnert University of Cambridge, UK Jean-Charles Delvenne UC Louvain, Belgium Huijuan Wang TU Delft, Netherlands *TUTORIAL CHAIRS* Jinhu L? Chines Ac. Science, Bejing, China Eiko Yoneki University of Cambridge, UK Sarah Morgan University of Cambridge, UK *PUBLICITY CHAIRS* Carlos Gershenson Universidad Nacional Aut?noma de M?xico , Mexico Bruno Goncalves NYU, USA Leto Peel UC Louvain, Belgium Feng Xia Dalian University of Technology, China *INDUSTRY CHAIRS* Michael Simmons University of Cambridge, UK Alexandra Brintrup University of Cambridge, UK *PUBLICATION CHAIR* Sabrina Gaito Universit? degli Studi di Milano, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From tbrown at research.baycrest.org Thu Aug 16 13:52:15 2018 From: tbrown at research.baycrest.org (Tanya Brown) Date: Thu, 16 Aug 2018 17:52:15 +0000 Subject: Connectionists: JOB OPPORTUNITY at Rotman Research Institute in Toronto with Dr. Randy McIntosh Message-ID: Research Assistant - Technical? |? Dr. Randy McIntoshRotman Research Institute at Baycrest HospitalToronto, Canada The successful candidate will work with an interdisciplinary research team focused on the measurement of human brain network function with modern neuroimaging methods, such as functional magnetic resonance imaging and electroencephalography.? The laboratory?s focus integrates these empirical data with computational models to capture the full dynamics of human mental function. The candidate will focus the computational developments for experimental data processing and visualization and assist in experimental design and data acquisition. Responsibilities include but are not limited to: ? Documenting, maintaining and modifying existing code, creating new code for various scientific pilot studies and experiments. ? Contributing to computational algorithms for use with imaging technologies (MRI, EEG, MEG, PET, SPECT, etc.). ? Assessment and refinement of computational approaches using simulated and empirical data. ? Work with technicians and scientists in collaborating institutes to exchange analytic approaches and datasets ? Gain high level of competency withThe Virtual Brain?software platform in order to use this tool for various large-scale brain modeling projects Qualifications include but are not limited to: ? A degree in computer science, mathematics, engineering or related field ?? Shell scripting in Unix?? Signal processing methods, statistical methods are advantageous?? Advanced knowledge in C/C++ programming language, Matlab or Python?? Strong verbal skills and effective writing skills?? Effective time management skills PLEASE APPLY DIRECTLY: TO:DR. RANDY MCINTOSH CC: TBROWN at RESEARCH.BAYCREST.ORG WITH?"RA POSITION - MCINTOSH"?AS YOUR SUBJECT LINE PLEASE ENSURE THAT YOU INCLUDE (I) A COVER LETTER AND (II) YOUR UPDATED CV Applications will be accepted up until September 1, 2018. TheRotman Research Institute?(RRI) is a premier international centre for the study of human brain function. The primary research focus is on memory and the executive functions of the brain, both in normal aging and in the presence of diseases and conditions that affect the brain, such as stroke, traumatic brain injury, Alzheimer?s disease and other dementia. This fellowship is supervised by?Dr Randy McIntosh.?Contact us?for more information about this opportunity. Tanya Brown Program Manager - The Virtual BrainRotman Research Institute at Baycrest -?Toronto, Canada 416-785-2500 x 2782tbrown at research.baycrest.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: attachment-1.png Type: image/png Size: 92 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: TVB_tagline_crop.jpg Type: image/jpeg Size: 11144 bytes Desc: not available URL: From richard.erwin at us.af.mil Thu Aug 16 15:30:15 2018 From: richard.erwin at us.af.mil (ERWIN, RICHARD S DR-04 USAF AFMC AFRL/RVSVC) Date: Thu, 16 Aug 2018 19:30:15 +0000 Subject: Connectionists: RL/Game Focused Post-Doctoral Research Fellow Appointment - Air Force Research Laboratory, Space Vehicles Directorate, Kirtland AFB, NM Message-ID: Dear Colleagues, AFRL is recruiting a post-doctoral researcher for the topic below: AI Development for Competitive Space-Based Games: The research topic is centered on development of AI engines (primarily reinforcement learning approaches) to compete in a multi-player, competitive, zero-sum game involving space dynamics and space environment constraints, e.g. power, thermal, communications, etc. The project will involve co-opting or developing the game mechanics as needed; using openly available game engines and physics simulations to implement the game in a form suitable for play by computers; the development & training of AI engines using openly available development environments; the analysis of AI player performance against human players; and documentation of results via reports and/or technical papers. US Citizenship is required for this position. We cannot accept dual-citizens (defined as holding a non-US issued passport) or US Permanent Residents. The position has the option for a 2nd year renewal subject to agreement on both sides. There are potential opportunities for follow-on employment at AFRL. Please pass this on to potentially interested parties and/or your colleagues who may know potential candidates. Interested candidates should contact me directly at the email address below with a CV and expected availability date. Address any questions to this address as well. Best Regards, Scott ------------------------------------------ Dr. R. Scott Erwin, DR-IV Autonomous Systems Technology Lead Air Force Research Laboratory Space Vehicles Directorate Kirtland AFB, NM 87117 (505) 846-9816 (office) (505) 463-8674 (cell) richard.erwin at us.af.mil -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5366 bytes Desc: not available URL: From anna.chambers at medisin.uio.no Fri Aug 17 02:21:16 2018 From: anna.chambers at medisin.uio.no (Anna Chambers) Date: Fri, 17 Aug 2018 06:21:16 +0000 Subject: Connectionists: PhD position available, Univ of Oslo Message-ID: <1534486876331.9303@medisin.uio.no> A PhD fellowship in Neuroscience is available starting December 2018 at the Institute of Basic Medical Sciences, University of Oslo. The student will be supervised by Anna Chambers (https://www.med.uio.no/imb/english/people/aca/annacham/), and co-supervised by Assoc. Prof. Koen Vervaeke (www.vervaeke-lab.org). The position is funded for a period of 3 years, and can be extended. We are searching for a highly motivated candidate with a strong interest in systems neuroscience. Our group aims to understand information processing in brain structures relevant for learning and memory. To this end, we investigate how specific cell types originating in the hippocampus and neocortex are influenced by a variety of inputs, and how they influence the activity of their target cells across various brain states and behavioral contexts. To carry out this functional circuit dissection in rodents, we employ chronic, in-vivo two-photon microscopy of identified cell types using recently developed viral-genetic tools. Imaging and electrophysiology is performed in conjunction with optogenetic manipulation of circuit activity during behavior. Students with a degree in neuroscience, biology, medicine, computer science, physics or engineering are encouraged to apply. Applicants must have experience with at least one of the following disciplines: systems neurophysiology (e.g. multiphoton microscopy, electrophysiology, optogenetics), animal behavior, or systems/quantitative biology. Programming experience, particularly in Matlab, Python, or LabVIEW, is an important advantage.? Applicants must hold, or be close to obtaining, an MSc or M.D. degree. A strong command of both written and spoken English is required. To apply, please send your motivation letter and CV addressed to Dr. Anna Chambers (anna.chambers at medisin.uio.no). We offer: ? Salary level NOK 432 700 ? 489 300 (~45.000 - 51.000 euros) per year. ? Attractive pension and welfare benefits?? From terry at salk.edu Fri Aug 17 08:51:32 2018 From: terry at salk.edu (Terry Sejnowski) Date: Fri, 17 Aug 2018 05:51:32 -0700 Subject: Connectionists: NEURAL COMPUTATION - September 1, 2018 In-Reply-To: Message-ID: Neural Computation - Volume 30, Number 9 - September 1, 2018 Available online for download now: http://www.mitpressjournals.org/toc/neco/30/9 ----- Article >From Decisions to Movement - and Back Again Thomas Parrc, Karl Friston Letters A New Foreperiod Effect on Inter-trial Phase Coherence. Part I: Existence and Behavioral Relevance Joaquin Rapela, Marissa Westerfield, and Jeanne Townsend Spiking Elementary Motion Detector in Neuromorphic Systems M. B. Milde, Olivier J. N. Bertrand, Harshawardhan Ramachandran, Martin Egelhaaf, and Elisabetta Chicca A Basic Phase Diagram of Neuronal Dynamics Wenyuan Li, Wenyuan Li, Igor V Ovchinnikov, Honglin Chen, Zhe Wang, Albert Lee, Houchul Lee, Carlos Cepeda, Robert N Schwartz, Karlheinz Meier, and Kang Wang A Computationally Efficient Visual Saliency Algorithm Suitable for an Analog CMOS Implementation Robert D'Angelo, Richard Wood, Nathan Lowry, Geremy Freifeld, Haiyao Huang, Christopher D. Salthouse, Brent Hollosi, Matthew Muresan, Wes Uy, Nhut Tran, Armand Chery, Dorothy C. Poppe, and Sameer Sonkusale ASIC Implementation of Nonlinear Dynamical Model for Hippocampal Prosthesis Zhitong Qiao, Yan Han, Hiaoxia Han, Han Xu, Will X. Y. Li, Dong Song, Theodore Berger, and Ray C. C. Cheung A Locally Optimal Algorithm for Estimating a Generating Partition >From an Observed Time Series and Its Application to Anomaly Detection Najah F. Ghalyan, David J. Miller, and Asok Ray Active Inference, Belief Propagation, and the Bethe Approximation Sarah Schwoebel, Stefan Kiebel, and Dimitrije Markovic An Empirical Evaluation of Rule Extraction >From Recurrent Neural Networks Qinglong Wang, Kaixuan Zhang, Alexander G Ororbia II, Xinyu Xing, Xue Liu, and C. Lee Giles ------------ 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 moeller at techfak.uni-bielefeld.de Fri Aug 17 12:46:48 2018 From: moeller at techfak.uni-bielefeld.de (Ralf Moeller) Date: Fri, 17 Aug 2018 18:46:48 +0200 Subject: Connectionists: [jobs] PhD (or Postdoc) position in visual robot navigation or cognitive robotics @ Bielefeld University Message-ID: <248de50c-eeb5-f3a3-67dc-977b4fbc08fa@techfak.uni-bielefeld.de> At the Computer Engineering Group, Faculty of Technology, Bielefeld University, we offer a ? PhD (or Postdoc) position with research in either visual robot navigation or cognitive robotics ? (full position, 3 years, pay group TV-L E13). In the field of visual robot navigation, your task would be to develop methods for the visual navigation of autonomous mobile robots in indoor and outdoor environments, particularly for controlling cleaning robots and autonomous lawn mowers. In the field of cognitive robotics, your task would be to develop methods for learning internal sensorimotor models in the interaction of a robot with its environment. These models should then be applied for interpreting visual information and selecting appropriate actions from a process of internal simulation. Neural networks or machine learning techniques will be used for the training of the internal models. Your tasks will be: - Research in one of the areas mentioned above, including the construction of robot hardware (70%); - Teaching (4 course hours per week) in computer engineering and robotics (20%); - Assistance with tasks in teaching, research, and organisation (10%). We expect: - completed university education in computer science, engineering, mathematics, physics, or related subjects; - very good mathematical abilities and programming skills; - independent, responsible, and committed working; - very good communication skills. We favor applicants with experience in computer vision, robotics, neural networks, and cognitive sciences. Official offer (in German): http://www.ti.uni-bielefeld.de/html/offers/index.html Please send your application in a single PDF document to bewerbung at ti.uni-bielefeld.de Application deadline: September 6th, 2018. -- Prof. Dr.-Ing. Ralf Moeller Computer Engineering Group, Faculty of Technology, Bielefeld University POB 10 01 31, D-33501 Bielefeld, Germany (room D4-150) phone +49 (0)521 106-5272 (secretary), fax +49 (0)521 106-6440 mailto:moeller at ti.uni-bielefeld.de http://www.ti.uni-bielefeld.de/ From Tony.Pipe at brl.ac.uk Fri Aug 17 04:34:59 2018 From: Tony.Pipe at brl.ac.uk (Tony Pipe) Date: Fri, 17 Aug 2018 09:34:59 +0100 Subject: Connectionists: Research Fellow: Connected Autonomous Vehicles In-Reply-To: <11733dd4-2b54-5772-e92a-9f3693ccdedf@brl.ac.uk> References: <60471384-2b1e-9217-367d-c103b704c214@brl.ac.uk> <4a00b1f1-5516-b963-b083-0fd631212022@brl.ac.uk> <3779ad6b-0e4b-3af2-4c2d-f856c3dde1be@brl.ac.uk> <11733dd4-2b54-5772-e92a-9f3693ccdedf@brl.ac.uk> Message-ID: <523b0fed-213b-5273-a661-e44c51c52985@brl.ac.uk> Research Fellow: Connected Autonomous Vehicles Salary: ?32,548 - ?38,833 Duration of post: Fixed term period 1yr 0mths Closing date: 29 Aug 2018 About the post: The Bristol Robotics Laboratory (BRL) is currently a key partner in three Innovate UK-funded Connected Autonomous Vehicle (CAV) research and development projects. They each have a differing application focus but they are all aimed at bringing this exciting new technology closer to fruition in a safe and useful manner for society as a whole. These are grand aims, and there is a great deal of important theoretical, but especially carefully directed experimental work to be carried out at both technical and societal levels; the outcomes need to be both technically correct and also acceptable to society. The work to be carried out in these projects is wide ranging, from conducting probing questionnaire-led participant interviews to experiments in a comprehensive vehicle simulator and in a variety of real-world roadway and pedestrian-area prototype autonomous vehicle trials. An essential part of the post holder's role will be to undertake software design and programming of the BRL CAV simulator, and some aspects of the real vehicles as required, with support from others. All of this work needs careful coordination, and this will be a major part of the tasks for the person taking this post. Apart from taking a key role in running the existing projects, there is a highly active process of bidding for new CAV projects, and helping to lead this activity will be another crucial role. Applicants must be working towards completion, or have completed a PhD in Robotics and Autonomous Systems (RAS) or an appropriate technical topic that can be transferred to CAV design and development. A recognised English language qualification is required. How to apply: Download and complete the Graduate School studentship application form and send it directly to the UWE Bristol Graduate School. Please ensure you include the title of the research project you propose to undertake, and detail why you are interested in undertaking this PhD project and what relevant knowledge, experience and qualifications you would bring to the research. Please see the Graduate School studentship application guidance notes for further information about how to complete the application form. Please also complete the Equal Opportunities monitoring form and complete the first section of the Graduate School application reference sheet before sending to your nominated referees. Further information For the full advert please refer to the following link: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?amNvZGU9MTcyODYxOCZvd25lcj01MDU1Mjc4Jm93bmVydHlwZT1mYWlyJnBvc3RpbmdfY29kZT00OTcmdnRfdGVtcGxhdGU9MTUzOA&jcode=1728618&owner=5055278&ownertype=fair&posting_code=497&vt_template=1538 -- Tony Pipe Professor of Robotics and Autonomous Systems Deputy Director: Bristol Robotics Laboratory Bristol Robotics Laboratory T-Building Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 From s.purcell at exeter.ac.uk Fri Aug 17 07:24:59 2018 From: s.purcell at exeter.ac.uk (Purcell, Sarah) Date: Fri, 17 Aug 2018 11:24:59 +0000 Subject: Connectionists: Funded mathematics PhD position - Designing the dynamics of coupled oscillators - University of Exeter Message-ID: Funded mathematics PhD position - Designing the dynamics of coupled oscillators University of Exeter, UK Supervisors: - Dr Christian Bick - Dr Kyle Wedgwood The University of Exeter's College of Engineering, Mathematics and Physical Sciences is inviting applications for a fully-funded PhD studentship to commence in September 2018 or as soon as possible thereafter. For eligible students the studentship will cover tuition fees in full plus an annual tax-free stipend of at least ?14,777 for 3.5 years full-time, or pro rata for part-time study. The student would be based in the Department of Mathematics in the College of Engineering, Mathematics and Physical Sciences in Exeter. Networks of interacting oscillatory units are abundant in nature and technology. Their function and dynamics governs crucial aspects of our lives, ranging from the stability of power grids to the dynamics of the human brain. The dynamics of oscillator networks depends on (1) which oscillators interact with which other oscillator and (2) how oscillators interact with one another. This project will contribute to the question how the interplay between these two factors shape the network dynamics. The main aim of this PhD project is to develop theoretical and numerical approaches how oscillator networks can be designed to have specific interactions. This will allow to generate networks that exhibit a range of synchronized and locally synchronized dynamics. Moreover, the supervisor is currently collaborating with the experimental group of Istvan Z Kiss in St Louis (USA) who are working on electrochemical oscillators. Hence, there may be an opportunity to help implement the theoretical results in real-world experimental systems. The studentship will be awarded on the basis of merit for 3.5 years of full-time study to commence in September 2018 or on a mutually agreed date as soon as possible thereafter, and is subject to confirmation of funding. For full details please see the PhD advert. If you have any questions, please get in touch with Dr Christian Bick or Dr Kyle Wedgwood. -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.Soltoggio at lboro.ac.uk Sat Aug 18 06:49:46 2018 From: A.Soltoggio at lboro.ac.uk (Andrea Soltoggio) Date: Sat, 18 Aug 2018 12:49:46 +0200 Subject: Connectionists: One Research Associate and 2 funded Ph.D. positions on the evolution of neural learning and plasticity Message-ID: Dear connectionists, One Research Associate and two funded Ph.D. positions are available at the Computer Science Department, School of Science, Loughborough University, UK, on the topics of the evolution of lifelong learning in neural networks. Research. The aim is to develop new neuroevolution algorithms for lifelong learning. The objectives are to devise machine learning systems that autonomously adapt to changing conditions such as variation of the data distribution, variation of the problem domain or parameters, with minimal human intervention. The approach will use neuroevolution, neuromodulation, and other methodologies to continuously discover and update learning strategies, implement selective plasticity, and achieve continual learning. For an overview of the research direction, see the paper: Born to Learn: the Inspiration, Progress and Future of Evolved Plastic Artificial Neural Networks https://arxiv.org/abs/1703.10371 or a recent press release by HRL: http://www.hrl.com/news/2018/07/19/stellar-system-will-enable-autonomous-systems-to-learn-for-life Application areas include a variety of automation and machine learning problems, e.g. vision, control, and robotics, with a particular focus on resilience and autonomy. Working environment. The research associate and Ph.D. students, based at the Computer Science Department, will work in an international team with opportunities for collaboration and travel. They will have access to a number of robotic platforms such as mobile and flying robots, manufacturing robots, High Performance Computing clusters, and GPU computing. The Computer Science Department and robotics laboratories have ongoing collaborations with large industries and programs to promote start-ups. Loughborough University is ranked 7th in the UK in the 2019 League Table Ranking http://www.thecompleteuniversityguide.co.uk/loughborough/performance ), and is located in Loughborough, a town well connected to London by a 1h20m journey by train. Requirements. Postdoc: A Ph.D. in Computer Science or related with a strong publication record, coding abilities, predisposition to work in a team and independence, passion for science, solid work ethics. Ph.D. students: The ideal candidate holds (or is about to obtain) a first-class honour undergraduate/postgraduate degree (or equivalent) in Computer Science, Mathematics, Statistics, Electrical or Electronic Engineering, or has authored publications in recognised conferences/journals. Independent working skills are valued as well as the capability of working in a team. Collegiality and interpersonal skills are essential. Excellent English language skills are also essential (see requirements here http://www.lboro.ac.uk/international/englang/index.htm) Period and salaries. Postdoc position: until June 2020 (with possible extension) with a competitive salary at Grade 6 ( http://www.lboro.ac.uk/services/hr/benefits/pay-rewards/) Start: as soon as possible. Ph.D. studentships: Scholarship: ?14,777 per annum plus tuition fees at the UK/EU rate. Start: October 2018 or shortly after. Duration: 3 years. Application deadlines: 31st August Inquiries and applications. Interested candidates are invited to send preliminary inquiries to a.soltoggio at lboro.ac.uk including a CV, a university transcript of marks, a list of references, and a statement of about 300 words motivating their interest in this area of research. Application links: https://www.jobs.ac.uk/job/BKW361/research-associate-in-machine-learning http://www.lboro.ac.uk/departments/compsci/staff/academic-teaching/andrea-soltoggio/ Best wishes, Andrea Soltoggio -- Dr. Andrea Soltoggio Lecturer in Artificial Intelligence Department of Computer Science, Centre for Information Management Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Phone: +44 (0) 1509 635748 Email: a.soltoggio at lboro.ac.uk Twitter: @asoltoggio Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From ckorndoe at uni-osnabrueck.de Sat Aug 18 06:37:54 2018 From: ckorndoe at uni-osnabrueck.de (=?utf-8?Q?Clemens_Kornd=C3=B6rfer?=) Date: Sat, 18 Aug 2018 12:37:54 +0200 Subject: Connectionists: =?utf-8?q?9_open_PhD_positions_RTG_2340_=22Comput?= =?utf-8?q?ational_Cognition=22=2C_Univ=2E_Osnabr=C3=BCck?= References: <461083cb-b8e3-8068-d8a4-8ef656e4431e@uos.de> Message-ID: fyi - applications by August 23 (!) > Begin forwarded message: > > The RTG 2340 "Computational Cognition", funded by the German Research > Foundation (DFG), invites applications for > > 4 PhD Candidates (Salary level E 13 TV-L, 100 %) 5 PhD Candidates > (Salary level E 13 TV-L, 65 %) > > to be filled by October 1, 2018 for a period of 3 years. > > The RTG Computational Cognition aims at reintegrating Cognitive Science > and Artificial Intelligence. PhD students of the RTG will be educated in > both subjects in order to combine the findings of these fields and thus > to get a better understanding of human and machine intelligence. > Research fields involved in the RTG are Neuroinformatics, > Neurobiopsychology, Bio-Inspired Computer Vision, Knowledge-Based > Systems, Cognitive Natural Language Processing & Communication, > Cognitive Modeling, Artificial Intelligence, Psycho/Neurolinguistics, > Computational Linguistics and Cognitive Computing. The RTG will focus on > the integration of two research fields. Detailed information on the core > areas of the offered PhD projects can be obtained from the spokesmen of > the RTG, Prof. Dr. Gordon Pipa (gpipa at uni-osnabrueck.de) and Prof. Dr. > Peter K?nig (pkoenig at uni-osnabrueck.de). > > The RTG will be incorporated into the Cognitive Science PhD program > founded in 2002. PhD students of the RTG will take advantage of an > interdisciplinary environment, which nevertheless focusses on a common > research topic and offers a broad range of methodological synergies > between the projects. > > Required Qualifications: Applicants are expected to have an academic > degree (Master/Diploma), experience in at least one of the domains > listed above, proven experience in interdisciplinary work as well as a > good command of the English language. > > Please find details about the RTG at http://computational-cognition.eu > > Applications with the usual documentation should be submitted by e-mail > in a single PDF file to the director of the Institute of Cognitive > Science, Prof. Dr. Kai-Uwe K?hnberger (kkuehnbe at uni-osnabrueck.de) with > a cc to office at ikw.uni-osnabrueck.de no later than August 23, 2018. > > ------------------------------------------ > Nachrichten an alle Mitglieder dieses Mailverteilers schicken Sie bitte > an: gk-news at gk-ev.de > > Fragen an den Moderator schicken Sie bitte an den Schriftfuehrer: > sf at gk-ev.de From J.Verhoef at donders.ru.nl Mon Aug 20 04:32:03 2018 From: J.Verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Mon, 20 Aug 2018 08:32:03 +0000 Subject: Connectionists: Three Positions for Dutch Research Consortium 'Language in Interaction' Message-ID: <11E9E0B371DBAE4EB859A9CC30606A048287EBCE@EXPRD98.hosting.ru.nl> Three Positions for Dutch Research Consortium 'Language in Interaction' (1.0 FTE) Dutch Research Consortium 'Language in Interaction' Vacancy number: 30.06.18 Application deadline: 16 September 2018 [Logo NWO] Responsibilities We are looking for highly motivated candidates to enrich a unique consortium of researchers aiming to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and variability of the human language faculty from genes to behaviour. Currently, our consortium advertises one postdoctoral position and two PhD positions. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Each position has its own requirements and profile. Click here for more information on the positions. Work environment The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, sponsored by a large grant from the Netherlands Organisation for Scientific Research (NWO), brings together a large number of the excellent research groups in the Netherlands in one research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication, including methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realizes both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions in our field. Our five Big Questions are: BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling? BQ2: What are the characteristics and consequences of internal brain organisation for language? BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? More information on our Big Questions: www.languageininteraction.nl/Bigquestions.html Successful candidates will be appointed at one of the consortium?s home institutions, depending on the position applied for. All successful candidates will become members of our Big Question teams. The research is being conducted at the participating institutions in an international setting. English is the lingua franca. What we expect from you Each position has its own requirements and profile. More information on: www.languageininteraction.nl/jobs/bqfifth.html General requirements for all positions are: ? a degree in the field indicated; ? strong motivation; ? excellent proficiency in written and spoken English. What we have to offer ? employment: 1.0 FTE; ? you will be appointed at one of the consortium's home institutions, depending on the position applied for; ? terms of employment depend on the position applied for; ? the institutes involved have regulations in place that enable their staff to create a good work life balance. Other Information Both institutes involved are equal opportunity employers, committed to building a culturally diverse intellectual community, and as such encourage applications from women and minorities. Would you like to know more? Further information on: the Language in Interaction Consortium Further information on: the different positions For more information about this vacancy, please contact: additional information can be obtained from the contacts for the different positions. Are you interested? You should upload your application (attn. of Prof. dr. P. Hagoort) exclusively using the button 'Apply' below. Your application should include (and be limited to) the following attachment(s): ? a cover letter; please state at the top the reference number(s) of the position(s) you apply for; ? your curriculum vitae, including a list of publications and the names of at least two persons who can provide references. Please apply before 16 September 2018, 23:59 CET. Applicants are welcome to apply for more than one position. [Apply] No commercial propositions please. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 2461 bytes Desc: image001.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.jpg Type: image/jpeg Size: 3660 bytes Desc: image003.jpg URL: From M.Gillies at gold.ac.uk Mon Aug 20 07:11:18 2018 From: M.Gillies at gold.ac.uk (Marco Gillies) Date: Mon, 20 Aug 2018 11:11:18 +0000 Subject: Connectionists: Post-Doctoral Position in modelling and generating real-time social interactions In-Reply-To: References: Message-ID: Apologies for cross posting Applications are invited for the position of post-doctoral research associate. The post-holder will be expected to carry out interdisciplinary research in computing and social neuroscience, as part of a project which aims to measure, model and generate natural face-to-face behaviours. The focus of this post is on building real-time interactions between people and virtual characters. https://www.jobs.ac.uk/job/BMB900/research-associate-social-neuroscience The post-holder will be based in Marco Gillies laboratory at Goldsmiths College and in Antonia Hamilton's laboratory at the UCL Institute of Cognitive Neuroscience, and will spend time in both locations. The start date for the post will be 1st December 2018 or a close to that date as possible. This post is funded by a Leverhulme grant and is available for 1.2 years in the first instance. The successful applicant should hold a PhD in computer science or a closely related area. Knowledge of a range of research techniques useful to virtual reality and/or interactive agents and extensive research experience in computing and data analysis are essential. Dr Marco Gillies Academic Director - Distance Learning Teaching and Learning Innovation Centre Department of Computing Embodied Audio-Visual Interaction Group 15 Laurie Grove, Room 4 Goldsmiths, University of London, UK T: +44 (0) 207 717 3378 @marcogillies http://www.doc.gold.ac.uk/~mas02mg/MarcoGillies/ https://goldsmithstalic.wordpress.com/ @goldsmithstalic www.gold.ac.uk/computing Subscribe to our blog | Follow us on Twitter -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.Verhoef at donders.ru.nl Mon Aug 20 07:36:59 2018 From: J.Verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Mon, 20 Aug 2018 11:36:59 +0000 Subject: Connectionists: Language in Interaction: Synergy Grants 2018 - Call for Proposals Message-ID: <11E9E0B371DBAE4EB859A9CC30606A04828800E5@EXPRD98.hosting.ru.nl> Dear all, We would like to draw your attention to the information below. Dutch research consortium Language in Interaction Synergy Grants, Call for Proposals Submission deadline: September 09, 2018, 23:59 CET https://www.languageininteraction.nl/Download.html The Dutch research consortium Language in Interaction (LiI) offers two 4-year Synergy Grants to teams of two researchers at an early or more advanced phase after finishing a PhD program. Researchers from anywhere in the world may apply. LiI Synergy Grants aim to tackle truly bold scientific challenges through a unique combination of skills and knowledge of the researchers. The joint scientific research proposal should provide the scientific and technical aspects of a 4-year collaborative research project, demonstrating the ground-breaking nature of the research, its potential impact and research methodology. The two available Synergy Grants include the salaries of the two submitting postdoctoral researchers at early or more senior stages of their career. In addition to their own positions, for each grant LiI will finance up to two PhD positions, one RA position, and accompanying measurement costs / consumables. The full Call for Proposals (including all terms and conditions) of the LiI Synergy Grants can be downloaded from: https://www.languageininteraction.nl/Download.html Kind regards, Julia Verhoef Secretary - Language in Interaction Consortium Radboud University | Donders Centre for Cognitive Neuroimaging (DCCN) | room 0.013 Kapittelweg 29, 6525 EN Nijmegen, The Netherlands | P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands | T: +31 (0)24 3666272 | E: J.Verhoef at donders.ru.nll|Office hours: 9-14 hr on Mon - Fri -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 20180524_LiI_SynergyCall.pdf Type: application/pdf Size: 1916910 bytes Desc: 20180524_LiI_SynergyCall.pdf URL: From m.biehl at rug.nl Mon Aug 20 09:45:02 2018 From: m.biehl at rug.nl (Michael Biehl) Date: Mon, 20 Aug 2018 15:45:02 +0200 Subject: Connectionists: CFP: Special Session at ESANN 2019 Message-ID: Apologies in advance for multiple postings. *Call for papers: *Special Session *"Statistical Physics of Learning and Inference" at ESANN 2019* European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2019). 24-26 April 2019, Bruges, Belgium http://www.esann.org Description: This special session is meant to attract researchers who exploit analogies and concepts from statistical physics in the context of machine learning, inference, optimization, and related fields. The exchange of ideas between statistical physics and computer science has been very fruitful and is currently gaining momentum again as a consequence of the revived interest in neural networks, machine learning and inference in general. Statistical physics methods complement other approaches to the theoretical understanding of machine learning processes and inference in stochasic modeling. They facilitate, for instance, the study of dynamical and equilibrium properties of randomized training processes in model situations. At the same time, the approach inspires novel and efficient algorithms and facilitates interdisciplinary applications in a variety of scientific and technical disciplines. The tools and concepts applied in this context include information theory, the mathematical analysis of stochastic differential equations, methods borrowed from the statistical mechanics of disorder, mean field theory, variational calculus, renormalization group and other methods. Potential topics include, but are not limited to: - Probabilistic inference in, e.g., stochastic dynamical systems and complex networks - Learning in Deep Networks and other architectures - Complex optimization problems - Emergent behavior in societies of agents - Transient dynamics and equilibrium phenomena in machine learning - The relation of statistical mechanics with information theory and mathematical statistics - Applications, for instance in: - systems biology and bioinformatics - neuroscience - environmental modelling - social systems - signal processing - complex optimization SUBMISSION: Authors must submit their paper through the ESANN portal following the instructions provided at https://www.elen.ucl.ac.be/esann/index.php?pg=submission We encourage authors to contact the organizers of the session beforehand. Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: Submission of papers: 19 November 2018 Notification of acceptance: 31 January 2019 ESANN conference: 24 - 26 April 2019 SPECIAL SESSION ORGANISERS: Michael Biehl, University of Groningen, The Netherlands Nestor Caticha, University of Sao Paulo, Brazil Manfred Opper, Technical University Berlin, Germany Thomas Villmann, University of Applied Sciences Mittweida, Germany -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From nico.schuck at gmail.com Mon Aug 20 11:26:50 2018 From: nico.schuck at gmail.com (Nicolas Schuck) Date: Mon, 20 Aug 2018 17:26:50 +0200 Subject: Connectionists: POSTDOC position in computational cognitive neuroscience at Max Planck Institute in Berlin Message-ID: A postdoc position in cognitive computational neuroscience of decision making is available at the Max Planck Institute for Human Development in Berlin. The position is part of the Max Planck Research Group "Neural & Computational Basis of Learning, Memory & Decision Making" led by Nico Schuck (nicolasschuck.com). We look for someone to study neural representations in prefrontal cortex underlying decision making and reinforcement learning. The project will focus on using computational modelling and fMRI to identify neural signals of probabilistic state information during value-based decision making. We offer an engaging and inclusive atmosphere in a young international lab. We are excited about our work and organise regular seminars, journal clubs and hands on sessions. The MPI has excellent infrastructure (behavior, fMRI, EEG, eye-tracking), including support staff. Official positing: https://www.mpib-berlin.mpg.de/sites/default/files/download/jobs/22-2018_stellenanzeige_mpfg_neurocode-ie.pdf * Key Requirements * - hold (or expect to hold by start of position) a PhD in Psych, Neuroscience, Biology, CS or related disciplines - experience with using fMRI, behavioral and/or computational methods - record of publishing in peer-reviewed neuroscientific journals is highly beneficial * Details * - deadline Oct 1st (review of applications will be continued if position not filled by then) - position will last for a minimum of 2 years (extension possible) - earliest start: Dec 2018 * Application * - please submit cover letter describing research interests (max. 2 pages), CV and 1 - 2 representative publications as a single PDF file to neurocode at mpib-berlin.mpg.de - arrange for 2 letters of recommendation to be send to us independently * Questions? * - check our lab website to learn more about us: http://www.princeton.edu/~nschuck/ - email Nico at schuck at mpib-berlin.mpg.de From Pavis at iit.it Mon Aug 20 11:38:24 2018 From: Pavis at iit.it (Pavis) Date: Mon, 20 Aug 2018 15:38:24 +0000 Subject: Connectionists: =?cp1258?q?Researcher_on_Computer_Vision_and_Mach?= =?cp1258?q?ine_Learning_=28CCHT=40Ca=CCFoscari=29_-_=5B_Researcher_=5D_BC?= =?cp1258?q?_75118?= In-Reply-To: References: Message-ID: <76e803d8f0c3458abc3f1d85f46b6e2b@iit.it> Researcher on Computer Vision and Machine Learning (CCHT at Ca?Foscari) - [ Researcher ] Workplace: Venezia, CCHT, Italy The IIT center at Ca' Foscari University in Venice - Center for Cultural Heritage Technology at Ca?Foscari (CCHT at Ca?Foscari) has the mission to research and promote new technologies and to extend existing techniques for preservation and analysis of the invaluable Cultural Heritage assets managed by galleries, libraries, archives and museums across different fields of art. CCHT at Ca?Foscari is currently seeking to appoint a Computer Vision and Machine Learning Researcher. The selected candidate will join an interdisciplinary team of researchers, contributing to the development of next-generation 3D digitization and machine learning approaches applied to the Cultural Heritage (CH) and Digital Humanities (DH) domain. Required qualifications: a Ph.D. in computer science or related field (with specialization in either computer vision or machine learning) and at least 2 years of postdoc experience; Knowledge of programming languages, in particular, Python, C/C++, and MATLAB; Experience in grant proposal preparation and managing at European and National level; Proven interdisciplinary collaborations with scientific staff or stakeholders in the Cultural Heritage and Digital Humanities fields. Good communication skills and ability to cooperate; Experience in supervising or co-supervising Ph.D. students or postdocs; Proficient in English language (written and oral). Desirable skills: Knowledge of OpenCV, PCL, and Open3D libraries; Practical experience on Deep Learning algorithms and relevant platforms (e.g. TensorFlow, PyTorch, Theano, Caffe); Experience in cultural heritage knowledge graphs and graph-based machine learning approaches. The successful candidate will be offered a salary commensurate with experience and skills. The call will remain open until the position is filled but one first deadline for evaluation of candidates will be September 20, 2018. Please send your application to applications at iit.it quoting ?CCHT Computer Vision and Machine Learning Researcher ? BC 75118? in the e-mail subject. Your application must be including a detailed CV, a research statement and 3 representative publications. Candidates must also request three reference letters to be sent directly in PDF format to applications at iit.it by the referees. Fondazione Istituto Italiano di Tecnologia (http://www.iit.it) is a non-profit institution created with the objective of promoting technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology. Istituto Italiano di Tecnologia is an equal opportunity employer that actively seeks diversity in the workforce. Please note that the data that you provide will be used exclusively for the purpose of professional profiles? evaluation and selection and in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo at iit.it ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Mon Aug 20 12:43:26 2018 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Mon, 20 Aug 2018 18:43:26 +0200 Subject: Connectionists: CFP: ESANN 2019 special session - Streaming data analysis, concept drift and analysis of dynamic data sets Message-ID: -- Apologies in advance for multiple postings -- Call for Papers Special Session on 'Streaming data analysis, concept drift and analysis of dynamic data sets ' 24-26 April 2019, Bruges, Belgium http://www.dice.ucl.ac.be/esann AIMS AND SCOPE Today many real life data are given in the form of streaming data. Prominent examples can be found in the context of IoT, in form of twitter feeds, click stream data, trading data and many other. Learning from this huge, heterogeneous and growing amount of data requires flexible learning models that can adapt over time and are capable to deal with potentially non-i.i.d., non-stationary input data. Additionally the underlying algorithms aim on processing of high-velocity and multi-channel data and have also to deal with a variety of phenomena like concept drift and novelty detection. This special session welcomes novel research about learning from data streams addressing common problem in the field of streaming data analysis. Computational intelligence methods have the potential to be used for efficient data streams processing but novel methods and mathematical and algorithmic approaches are needed. TOPICS We encourage submission of papers on novel methods for streaming data processing and streaming data analysis by means of computational intelligence and machine learning approaches, including but not limited to: - data analysis and pattern recognition approaches for streaming data - preprocessing approaches for streaming data - learning of heterogeneous data streams - adaptive data pre-processing and knowledge discovery - methods employing ex- and implicit data knowledge for non-stationary data - representation and modeling of multi-channel streaming data - approximation techniques for streaming data - online and incremental learning (dimensionality reduction, classification, clustering and regression, outlier detection) with a particular design for streaming data - data drift and shift handling, transfer learning - graph stream algorithms - security and privacy preservation on streaming data - active learning for data streams - application of deep learning with streaming data - particular interesting applications for streaming data analysis e.g. in IoT, recommender systems, social networks, sensor networks, web mining, text processing medicine ... IMPORTANT DATES Paper submission deadline : 19 November 2018 Notification of acceptance : 31 January 2019 Deadline for final papers : 20 February 2019 The ESANN 2019 conference : 24-26 April 2019 SPECIAL SESSION ORGANIZERS: Frank-Michael Schleif, University of Appl. Sc. Wuerzburg-Schweinfurt, Germany and University of Birmingham, Birmingham, UK Barbara Hammer, University of Bielefeld, Germany Albert Bifet LTCI, T?l?com ParisTech - Universit? Paris-Saclay Paris, FRANCE -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at fhws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From george at cs.ucy.ac.cy Tue Aug 21 09:37:10 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Tue, 21 Aug 2018 16:37:10 +0300 Subject: Connectionists: ENTER 2019 eTourism Conference: Fifth Call for Papers In-Reply-To: <661201BE-6D0D-4C29-B078-E681845BDE26@cs.ucy.ac.cy> References: <0B8845F2-4D38-4F72-883C-8011F7853750@cs.ucy.ac.cy> <661201BE-6D0D-4C29-B078-E681845BDE26@cs.ucy.ac.cy> Message-ID: ENTER 2019: The 26th Annual eTourism Conference "eTourism: Towards a Sustainable Digital Society" Hilton Cyprus, Nicosia, Cyprus, 30 January - 1 February, 2019 https://www.enter2019.org *** Fifth Call for Research Papers *** (Proceedings published by Springer - Journal special issue in JITT, Springer) Every year, hundreds of tourism academics, industry representatives, government officials, students and entrepreneurs come together to share, discuss and challenge latest developments in information technology in the fields of travel, tourism and hospitality. With the theme "eTourism: Towards a Sustainable Digital Society" the ENTER 2019 conference will focus on exploring the ways in which technology and tourism together can make our society more sustainable. We call for latest research and case studies on emergent and cutting-edge information and communication technology concepts, applications, and business models to be shared in the conference. Organized by the International Federation for Information Technology and Travel & Tourism (IFITT), the ENTER 2019 conference provides a unique venue for various tourism stakeholders to understand the application of information and communication technologies to travel and tourism, with a special focus on how eTourism can contribute to the sustainability of the society. The ENTER 2019 research track is divided into three major topics that all contribute to our capabilities in building a sustainable digital society: Tourism Business and Technology, Governance, Sustainability and Education, and Computer Science and Information Systems. Issues to be covered at the conference include, but are not limited, to the following areas in the travel, tourism and hospitality context: Tourism Business and Technology ? ICT and Tourism Experience ? Augmented and Virtual Reality ? Platform Economy ? Website Design and Evaluation ? Digital Marketing and Social Media Strategies ? Digital Distribution and Social Selling ? Social Networking, Social Media and Social Inspiration ? Gaming and Gamification ? ICT Adoption and Value Creation ? E-strategy and eBusiness Models ? ICT for Innovation and Service Design ? Digital Nomads ? Consumer Behaviour in Digital Space ? Robotics and Automation in Travel and Hospitality Governance, Sustainability and Education ? ICT for Regional Development and Sustainability ? Advanced Distribution Systems and Strategies, Dynamic Packaging ? ICT-enabled Partnership and Collaboration ? E-Learning, Life-long Learning and MOOCs ? E-Government and Public Policy in Tourism ? Digital Divide and Socio-economic Development ? Privacy and Internet Security ? Legal, Ethical and Social Aspects of ICT Computer Science and Information Systems ? Big Data and Large-scale Systems ? Artificial Intelligence, Machine Learning and Deep Learning ? Data Mining, Analytics and Measurement ? Text and Concept Mining, Sentiment Analysis ? Recommender Systems and Personalization ? User Modeling and Decision Making ? Human-Computer Interaction ? Emotions and Personality-based Systems ? Social Network Analysis ? Location-based Services and Context-Aware Systems ? Mobile Services and Wearable Technologies ? Semantic Web, Tourism Ontologies and Linked Open Data ? Data Standards and Data Integration ? Travel Information Search and Retrieval ? Internet-of-Things ? Smart Destinations ? Travel Chatbots ? Blockchain and Other Emerging Technologies Welcoming Academics and the Industry The conference brings together the research community and industry, and it is organized in three streams, namely industry track, destinations track, and research track. If you are representing tourism industry or destinations, please see suitable calls for presentations at https://www.enter2019.org . The conference also features six to eight world-class keynote speakers discussing the most pressing topics within eTourism. Location The 26th edition of ENTER will take place in Nicosia, Cyprus. Nicosia is the capital of Cyprus; a status it has enjoyed for 1000 years since the 10th century, though its beginnings date back 5000 years to the Bronze Age. Nicosia is a sophisticated and cosmopolitan city, rich in history and culture that combines its historic past with the amenities of a modern city. Cyprus is an island drenched in sun and mythology, at the crossroads of ancient civilizations. 9,000 years of history gathered on one island. Cyprus packs a remarkable array of sights and attractions, museums and archaeological parks, throbbing beach resorts, pine covered mountains, medieval fortresses and ancient temples. Over the last few years, it has become one of the top touristic European destinations breaking in consecutive years the record of tourist arrivals. It is expected that in 2018, more than 3.6 million tourists will visit Cyprus and plans target a steady intake of 5 million tourists per year. More information about Nicosia and Cyprus as well as what the island and its capital offer can be found on the conference web site. Call for Research Papers We invite research papers across the widest spectrum of Information and Communication Technologies in Travel and Tourism to be presented at the ENTER 2019 conference. All submissions to the research track are rigorously evaluated for novelty, significance, and soundness. Papers should clearly state the background, introduction, purpose, theory, methodology, results, conclusions and managerial/industry/social implications of the study, and be fully referenced with appropriate citations. The authors of full papers and research notes will have the opportunity to present their research orally supported by PowerPoint slides. Full technical details will be provided with the acceptance of the paper. The proceedings of recently held ENTER conferences are listed by ISI's Conference Proceedings Citation Index - Science (CPCI-S). ENTER 2019 proceedings will follow a similar indexing process for ISI and other major indices. A) Full Papers Full papers should be innovative, so to advance the knowledge base of related fields. These papers present major contributions to the field and should be up to 12 pages in length. The conference proceedings https://www.springer.com/la/book/9783319729220 (to be published by Springer International Publishing) will include all accepted full papers. An award for the best full paper will be presented during the conference. B) Research Notes Research notes of up to 5 pages are invited. These papers represent new ideas not developed enough at the scale of a full paper, findings that restate known research, descriptions of prototypes, or research that is limited in scope. All research notes will be published by the e-Review of Tourism Research (eRTR) at http://ertr.tamu.edu/ (Editor of eRTR: Cody Morris Paris, Middlesex University Dubai, United Arab Emirates). C) Organized Sessions Proposals for organizing technical or other research-oriented sessions are invited. Proposals will include details of potential participants, topics, and presenters. Session Chairs are expected to attend ENTER 2019, set the order of presentations, and chair their session/s. Deadline for session chairs to submit their proposals to Research Track Chairs is September 3, 2018 (please submit proposal by e-mail to the research track chairs found at the end of the document). Submission Please refer to the "Author Advice" (http://www.enter2019.org/wp-content/uploads/2018/06/enter2019authoradvice_2.docx ) document as a style guide for standards to follow in the preparation of manuscripts. Please also see Springer guidelines for conference proceedings: https://www.springer.com/gb/authors-editors/conference-proceedings/conference-proceedings-guidelines , especially for Latex submissions. Papers must be uploaded to the online reviewing platform: Easy Chair for ENTER2019 (https://easychair.org/conferences/?conf=enter2019 ). All papers will be double-blind peer-reviewed by experienced researchers who are members of the scientific review committee. Final acceptance will depend on whether the author(s) can adequately address review comments to the satisfaction of the reviewers. Authors must submit their revised manuscripts by the deadline (October 22, 2018) and must register for the conference by November 12, 2018 in order to have their papers included in the Conference Proceedings or eRTR. Time Schedule ? Submission closes: September 3, 2018 ? Notification of acceptance/rejection/revision: October 8, 2018 ? Deadline to submit revised version: October 22, 2018 ? Final acceptance: October 29, 2018 ? End of Early Bird registration: November 2, 2018 ? Registration deadline to be published later: November 12, 2018 ? Conference: January 30 - February 1, 2018 Conference organizers reserve the right to modify the paper submission schedule. Submission Guideline and Presentation Template Please download the "Author Advice" document as a style guide for Word here: http://www.enter2019.org/wp-content/uploads/2018/06/enter2019authoradvice_2.docx and for Latex here: ftp://ftp.springernature.com/cs-proceeding/svproc/templates/ProcSci_TeX.zip . A presentation template for your presentation during ENTER2019 Conference will be sent to the authors after acceptance. Fast Track Journal of Information Technology and Tourism (JITT) Best papers' authors will be invited to submit an extended version of their article to Journal of Information Technology and Tourism (Springer). These articles will be reviewed under a special fast track in order to assure a timely publication. JITT website: http://bit.ly/ITTJournal . Research Track Chairs ? Juho Pesonen, University of Eastern Finland (juho.pesonen[at]uef.fi) ? Julia Neidhardt, TU Wien, Austria (julia.neidhardt[at]ec.tuwien.ac.at) -------------- next part -------------- An HTML attachment was scrubbed... URL: From hans.ekkehard.plesser at nmbu.no Tue Aug 21 10:57:01 2018 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 21 Aug 2018 14:57:01 +0000 Subject: Connectionists: NEST 2.16.0 released Message-ID: Dear colleagues! I am very excited to inform you that we have released version 2.16.0 of NEST, the Neural Simulation Tool, today. NEST 2.16.0 is the result of 89 merged pull requests by 39 developers since we released NEST 2.14.0 in October 2017. Most notably, this release includes a new infrastructure for the storage of connections, which reduces the memory consumption and network build times (Jordan et al., 2018) and extends the rate model framework for novel use-cases (Senden et al., 2018). As usual, it also includes numerous bug fixes and minor improvements. At the same time, the we have tried to minimize changes to the user interface, so scripts that worked with NEST 2.14.0 should work with NEST 2.16.0 as well. One exception is that global spike detectors have been removed, but this should be relevant only for users on petascale machines. For a detailed list of changes, please see https://github.com/nest/nest-simulator/releases/tag/v2.16.0 The citation for NEST 2.16.0 is Linssen, Charl, Lepper?d, Mikkel Elle, Mitchell, Jessica, Pronold, Jari, Eppler, Jochen Martin, Keup, Chrisitan, ? Plesser, Hans Ekkehard. (2018, August 27). NEST 2.16.0 (Version 2.16.0). Zenodo. http://doi.org/10.5281/zenodo.1400175 We would like to encourage you to switch to NEST 2.16.0 as soon as possible and are looking forward to hearing about your experiences! On behalf of the NEST Initiative, I would like to thank all developers who have contributed to NEST 2.16.0 and especially our release managers Dennis Terhorst and Jochen Eppler for wrapping it all up! Best regards, Hans Ekkehard Plesser President, The NEST Initiative -- Dr. Hans Ekkehard Plesser Associate Professor Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser From h.abbass at adfa.edu.au Tue Aug 21 09:43:14 2018 From: h.abbass at adfa.edu.au (Hussein Abbass) Date: Tue, 21 Aug 2018 13:43:14 +0000 Subject: Connectionists: CI/ML Position at UNSW Canberra Australia Message-ID: Postdoc / Research Associate Position General Research Area: Computational Intelligence / Machine Learning / Swarm Intelligence Initially 1 year with performance-based extension up to 3 years Salary: Level A - $91,743 (+9.5% super and leave loading) Applications close: 11:30 pm (AEST), 19th September 2018 Inquiries to Prof. Hussein Abbass at h.abbass at adfa.edu.au (please cc hussein.abbass at gmail.com) To apply, visit http://external-careers.jobs.unsw.edu.au/cw/en/job/494671/research-associate-trusted-autonomy =========================================================================== Trusted Autonomy Lab, School of Engineering and Information Technology, University of New South Wales, Canberra, Australia We are looking for a self-motivated PhD graduate interested in developing Hybrid symbolic and non-symbolic Learning and Reasoning algorithms for Distributed Context-Aware Swarm Intelligence. Particular skills we are looking for include: (1) Expertise with publications in at least one of the following areas: Reinforcement Learning, Neural Networks, Context Free Grammar, and Grammar Guided Genetic Programming. (2) Knowledge in Swarm Intelligence, Multi-agent Systems, and/or Distributed Ontology (3) Demonstrated understanding of physics and calculus (4) Self-motivated with a demonstrated ability to work in a team, collaborate across disciplines and build effective relationships Kind regards, Hussein Prof. Hussein Abbass (FORS, FACS, FIML, MHFES) | School of Engineering and Information Technology | University of New South Wales - Canberra | Canberra, ACT 2600, Australia | Web: http://www.husseinabbass.net/| Tel:+61-2-62688158 | Fax: +61-2-62688276 | Twitter: @HusseinAbbassOz | LinkedIn: www.linkedin.com/in/HusseinAbbassOz -------------- next part -------------- An HTML attachment was scrubbed... URL: From cllewis at uchicago.edu Wed Aug 22 11:59:52 2018 From: cllewis at uchicago.edu (Candice Lewis) Date: Wed, 22 Aug 2018 10:59:52 -0500 Subject: Connectionists: Postdoctoral Position in How Programming Languages Shape Thought Message-ID: Title: Postdoctoral Position in How Programming Languages Shape Thought @ the Knowledge Lab , UChicago The Knowledge Lab at the University of Chicago seeks to hire outstanding candidates for a postdoctoral research project with support from the Sloan Foundation to explore the degree to which programming languages and data science environments shape how individuals, groups and communities ?think??how they construct code, analyze data and solve computational problems together. The project, titled ?The Impact of Programming Languages and Datascience Frameworkson Thinking, Software, and Science" is inspired by the longstanding Sapir/Whorf Hypothesis that natural languages influence how speakers think, which has garnered new evidence with computational methods and large-scale language data. This project involves analysis of all public GitHub and other code repositories with statistical and machine learning approaches that generate insights that link programming language properties to individual and group behavior to coding and analytical outputs. Based on insights from these large-scale analyses and ongoing surveys of programming communities, we will generate programming experiments (e.g., with the Jupyter interface) to test whether discovered associations are causal?whether changing languages can predictably improve the efficiency, collaboration, and creativity of coders and coding communities. Postdoctoral candidates will design and conduct independent research, in collaboration with UChicago Professor and Santa Fe Institute external faculty James Evans, Director of Knowledge Lab, and Gary Lupyan, a computational psychologist from the University of Wisconsin-Madison. Candidates much hold a PhD in Computer Science, or have substantial computational and data science background and a Ph.D. in Statistics, Applied Math, Sociology or another Social Science, Linguistics, Informatics, (statistical) Physics or a related field, and a strong publishing background. Specifically, the successful candidate(s) will be responsible for managing and analyzing a massive collection of version controlled source code with Machine Learning (ML) and Natural language Processing (NLP) techniques. Candidates must understand and will need to maintain long running web scraping tasks, via APIs and HTML parsing and have knowledge regarding the state of the art in NLP (specifically neural language models, context free grammars and auto encoders), which they will extend to new domains, primarily programming code. This development of new techniques for understanding source code will likely benefit from knowledge of compiler design, static analysis, complex systems and network analysis. Candidates must have knowledge of Python and experience running large scale computational tasks on UNIX systems. Proficiency in multiple other programming languages, including a functional language, would be a benefit. Positions could begin anytime within the coming year, and as early as immediately. To apply, please send CV, cover letter and names for letters from at least two references to Candice Lewis, cllewis at uchicago.edu. Candice Lewis, Ph.D. Assistant Director The Knowledge Lab University of Chicago 5735 S Ellis Ave| Room 221 Chicago, IL 60637 -------------- next part -------------- An HTML attachment was scrubbed... URL: From cllewis at uchicago.edu Wed Aug 22 11:49:47 2018 From: cllewis at uchicago.edu (Candice Lewis) Date: Wed, 22 Aug 2018 10:49:47 -0500 Subject: Connectionists: Postdoc Position in Expanding Machine Learning beyond Social Prediction to Explanation, Intervention Message-ID: Title: Postdoctoral Position in Expanding Machine Learning Beyond Social Prediction to Explanation & Intervention @ the Knowledge Lab , UChicago The Knowledge Lab at the University of Chicago seeks to hire outstanding candidates for a postdoctoral research project with support from DARPA to extend the limits of machine learning from the prediction of social systems to explaining those systems and intervening in them. This is in association with the ?Ground Truth? program at DARPA. Other teams will generate reasonable agent-based models of diverse social systems, and our task is to build automated, analytical techniques that induce the "ground truth" or structure of the model and program used to generate them. We will also predict future instances of these social systems, and propose desirable and pragmatic interventions in them. Our team, the "Social MIND (Machine Inference for Novel Discovery)?, is exploring approaches that use large-scale Bayesian inference, probabilistic programming, deep learning neural networks, and approaches that link them together. We are recruiting for 1-2 postdoc positions at the intersection of data science, machine learning, automated scientific discovery, and social science. Postdoctoral candidates will design and conduct independent research, in close collaboration with UChicago professor, Santa Fe Institute external faculty member, and Director of Knowledge Lab James Evans, along with Joshua Tenenbaum, computational cognitive scientist from MIT, and Michael Franklin, a computer scientist and leader in systems design at the University of Chicago. Candidates must hold a PhD in Computer Science, or have substantial computational and data science background and a Ph.D. in Statistics, Applied Math, Physics, Sociology or another Social or Behavioral Science, or a related field. Candidates should have a strong publishing record. Experience in a social science discipline a strong plus. Comfort working collaboratively with a team is essential. Specifically, successful candidates will be responsible for generating and automatically decoding agent-models, and applying these techniques to real social systems. Experience with some of the following will be helpful: deep neural networks, Bayesian inference, probabilistic programming, machine learning and machine understanding. Candidates will be involved in both innovating new methods for specific inference tasks, and assembling approaches into automated data analytic pipelines. The broader project will also involve crowdsourcing alternative approaches, so experience with crowdsourcing and intelligent model combination also a plus. Because we will be requesting social data from the agent-modeling teams, understanding social science data gathering methods and familiarity with game theoretic and agent-based models will be very helpful. To apply, please send CV, cover letter and names for letters from at least two references to Candice Lewis, cllewis at uchicago.edu. Candice Lewis, Ph.D. Assistant Director The Knowledge Lab University of Chicago 5735 S Ellis Ave| Room 221 Chicago, IL 60637 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mmg62 at psu.edu Wed Aug 22 12:09:16 2018 From: mmg62 at psu.edu (Gervais, Melissa Marie) Date: Wed, 22 Aug 2018 16:09:16 +0000 Subject: Connectionists: Postdoc in deep learning for the earth sciences at Penn State Message-ID: Dear Connectionists list-serve members, The College of Earth and Mineral Sciences, at The Pennsylvania State University, invites applications for a post-doctoral research position in adapting deep learning methods for use in the earth sciences. This position will provide the successful candidate with experience conducting cross-cutting research working under the supervision of three faculty members Dr. Guido Cervone from the Dept. of Geography, Dr. Christelle Wauthier from the Dept. of Geosciences, and Dr. Melissa Gervais from the Dept. of Meteorology and Atmospheric Sciences. They will conduct collaborative research that will advance the use of deep learning within the earth sciences through its application to several scientific questions that require the identification of patterns of spatio-temporal variability. The successful candidate will have access to significant computing resources and be involved in the high performance computing activities of the Institute for CyberScience at Penn State. Applicants must hold a Ph.D in Computer Science, Mathematics, Statistics, Geoscience, Atmospheric Science, Geography or other related field with a strong Computational Science component. Experience with advanced programing, deep learning, or machine learning methods, an interest in conducting cross-cutting research, and a willingness to work in a multidisciplinary team is highly desired. This position will be funded for 18-months from the date of hire, with a strong possibility of refunding. Applicants must upload a letter of research interest, a CV, and contact information for three references. Review of applications will begin immediately and continue until the position is filled. For any questions please contact Melissa Gervais at mmg62 at psu.edu, Guido Cervone at cervone at psu.edu, or Christelle Wauthier at cuw25 at psu.edu. The Pennsylvania State University?s College of Earth and Mineral Sciences takes an active role in building talented, inclusive and culturally competent workforce. We understand that our shared future is guided by basic principles of fairness, mutual respect, and commitment to each other. Applicants should provide evidence, either woven through their application materials or as a separate diversity statement, of a commitment to fostering diversity, equity, inclusive excellence, and belonging and of engagement which creates an inclusive environment in their department, and the University. Applications can be submitted here: https://psu.jobs/job/79865 -------------- next part -------------- An HTML attachment was scrubbed... URL: From cskemp at gmail.com Thu Aug 23 02:30:32 2018 From: cskemp at gmail.com (Charles Kemp) Date: Thu, 23 Aug 2018 16:30:32 +1000 Subject: Connectionists: Complex Human Data Summer School, Melbourne Australia, Dec 9 - 14 In-Reply-To: References: Message-ID: Researchers from psychology and other disciplines are increasingly relying on computational analyses of large data sets to draw conclusions about human behaviour. This kind of research requires skills that are not often taught as part of the psychology curriculum, and the Melbourne School of Psychological Sciences is therefore pleased to announce the first annual Complex Human Data summer school. The school is designed for advanced undergraduates and first-year PhD students, and aims to give attendees the key skills they need to collect complex data, model the data, and evaluate their models. Participants from industry are also welcome. The program includes both lectures and laptop-based sessions which provide hands-on experience of the computational tools and approaches to be covered. Dates: December 9 - 14, 2018 Location: The University of Melbourne, Australia Topics will include: - Programming in R (the main language for the summer school) - Best practices for running online studies - Reproducibility and Open Science - GitHub - Probabilistic models of cognition - Experience sampling - Exploratory data analysis - Bayesian data analysis - Generalised linear models Organisers: - Simon Dennis - Charles Kemp - Danielle Navarro - Amy Perfors Other faculty members from the Complex Human Data Hub at Melbourne will also be involved. Required background: Participants are expected to have an interest in psychology and some experience with computer programming. The school is designed both for psychology students with an interest in computational approaches and students from computer science (or technical disciplines) with an interest in psychology. Although we expect that many participants will be graduate students, a subset of the available slots will be reserved for advanced undergraduates. Cost: Registration is free for undergraduates and graduate students and $2500 for industry participants. Scholarships will be available to help with transport and accommodation costs. How to apply: Please submit - A short CV - A statement of up to 500 words describing your background, your interests, and what you hope to get out of the summer school - For applicants from outside Melbourne, a short statement of financial need explaining why a scholarship would be especially helpful (optional) Applications should be sent to chdsummerschool at gmail.com before October 15th, 2018. Applicants from outside Melbourne will be automatically considered for scholarships regardless of whether they submit statements of financial need, but such statements may be helpful if there are more applications than support available. Website: https://psychologicalsciences.unimelb.edu.au/research/chdh/news-and-events/complex-human-data-summer-school -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Thu Aug 23 05:14:08 2018 From: benoit.frenay at unamur.be (=?UTF-8?B?QmVub8OudCBGcsOpbmF5?=) Date: Thu, 23 Aug 2018 11:14:08 +0200 Subject: Connectionists: Post-doctoral researcher on Hybrid Polystore Evolution at University of Namur (Belgium) Message-ID: A post-doctoral researcher position is available at University of Namur (Belgium) Faculty of Computer Science - PReCISE research center - Namur Digital Institute. The position will be fixed-term for 2 years, with possibility of extension. Gross salary per year: about 40.000 EUR (depending on experience). This position is associated with a new European H2020 project titled "Polyglot and Hybrid Persistence Architectures for Big Data Analytics" (TYPHON), in collaboration with The Open Group, University of York, University of L?Aquila, Edge Hill University, CWI, Volkswagen, GMV, Institut fur angewandte Systemtechnik Bremen, Alpha Bank, Nea Odos and CLMS. The aim of TYPHON is to develop a methodology and an integrated technical offering for designing, developing, querying and evolving scalable architectures (polystores) for persistence, analytics and monitoring of large volumes of hybrid (relational, graph-based, document-based, natural language etc.) data. The main objective of the TYPHON work-package led by University of Namur is to design and develop tools for evolving and monitoring the use of assembled polystores. Based on the data usage patterns observed by a monitoring mechanism, dedicated algorithms will suggest reconfigurations for the polystore schema. Tools for data and query migration will then support the automated propagation of the schema reconfigurations. In the context of this research project, your responsibilities will be: Designing and developing software for data usage analysis, schema change, cross-platform data migration and query migration; using appropriate research techniques and methods; writing up of research results and dissemination through publications, deliverables, seminar and conference presentations and outreach activities, and contributing to the identification of possible new areas of research. You will have a PhD in a technological / engineering area relevant to software or data engineering. You will need to have strong presentation, writing and object-oriented design and development skills (preferably using Java/JVM-based languages) as well as experience with one or more of the following: high-performance relational/non-relational data persistence and querying technologies, dynamic program analysis techniques, and language engineering/meta-programming frameworks (e.g. EMF, Sirius, Xtext, Rascal, ANTLR). Essential personal attributes for this role include attention to detail and commitment to high quality, a collaborative ethos, positive attitude to colleagues, commitment to personal development, and ability to plan and prioritise own work to meet deadlines. Experience in collaborative research projects, especially in European projects, will be considered as an asset. Official applications should be submitted toanthony.cleve at unamur.be and should include: - Earliest available starting date. The expected starting date is ASAP, but no later than Jan 1, 2019. - Curriculum vitae with a list of publications and previous positions held. - A digital copy of one to three (co-)authored publications demonstrating some of the expected expertise. - Contact details (including e-mail address and phone number) of two academic referees. Deadline for submissions: ASAP Submissions received after that date are welcome and will be considered as long as the position remains available. Informal enquiries can be made to Prof Anthony Cleve, emailanthony.cleve at unamur.be . -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Thu Aug 23 05:23:09 2018 From: benoit.frenay at unamur.be (=?UTF-8?B?QmVub8OudCBGcsOpbmF5?=) Date: Thu, 23 Aug 2018 11:23:09 +0200 Subject: Connectionists: Vacant Post-Doctoral position on Software Ecosystems in Belgium Message-ID: <61ecbcc1-e7d1-46ac-88a9-76b52bdeb1a5@unamur.be> A 3-year post-doctoral position is open in the EOS SECO-ASSIST project "Automated Assistance for Developing Software in Ecosystems of the Future" https://secoassist.github.io/jobs.html For more details, send an e-mail to anthony.cleve at unamur.be -- Beno?t FR?NAY Associate Professor Faculty of Computer Science T. +32 (0)81 724 976 (secr. 725 252) F. +32 (0)81 724 967 benoit.frenay at unamur.be Universit? de Namur ASBL Rue de Bruxelles 61 - 5000 Namur Let?s respect the environment together. Only print this message if necessary! -------------- next part -------------- An HTML attachment was scrubbed... URL: From ASJagath at ntu.edu.sg Thu Aug 23 23:19:29 2018 From: ASJagath at ntu.edu.sg (Jagath C Rajapakse (Prof)) Date: Fri, 24 Aug 2018 03:19:29 +0000 Subject: Connectionists: FW: Postdoctoral fellow/Research associate position in brain image analysis In-Reply-To: References: Message-ID: Postdoctoral fellow/Research associate position in brain image analysis Nanyang Technological University, Singapore A postdoctoral fellow/research associate position in brain image analysis is available in a research group headed by Professor Jagath Rajapakse at Nanyang Technological University, Singapore. The candidate will be attached to a project investigating structural and functional brain networks and their associations to brain disease. Depending on previous experience, the candidate will involve in structural or functional connectivity analysis using DTI or functional MR images of the brain. In functional connectivity analysis, the candidate will deep learn resting-state brain networks from functional MR images in order to decode brain activations evoked in different tasks. In structural connectivity analysis, the candidate will investigate deep learning of structural brain networks from DTI images in order to identify latent white-matter impairment factors and detect Alzheimer?s Disease. The candidate would have experience and skills in image analysis, machine learning, and Python. Those applying for the postdoctoral fellow position should have a Ph.D. degree in relevant field. The position is immediately available for one year. Interested applicants should forward their CV to Professor Jagath Rajapakse (asjagath at ntu.edu.sg). --- Jagath C. Rajapakse, PhD, FIEEE Professor of Computer Engineering School of Computer Science and Engineering Nanyang Technological University N4-2a06, 50 Nanyang Avenue Singapore 639798 http://www.ntu.edu.sg/home/asjagath ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From danny.silver at acadiau.ca Fri Aug 24 20:16:42 2018 From: danny.silver at acadiau.ca (Danny Silver) Date: Sat, 25 Aug 2018 00:16:42 +0000 Subject: Connectionists: JOB: Data Scientist, Acadia University's Institute for Data Analytics Message-ID: The following employment opportunities are now posted on the Acadia University Human Resources website. Applicants should apply as indicated in the adverts. The Employment Application form can be found in the Acadia HR website. Data Scientist, Acadia Institute for Data Analytics (3 year term contract) https://hr.acadiau.ca/tl_files/sites/hr/Employment/Job%20Postings/ADMIN/18-32-AU.pdf Consideration of applications will begin on 5 September 2018. THE OPPORTUNITY Acadia seeks a Data Scientist to fill a 3-year term contract in the Acadia Institute for Data Analytics (AIDA) to play a lead role in working with new start-up companies and existing businesses to maximize their potential to create world-class offerings based on data analytics methods and applied research in machine learning. The Data Scientist will undertake pre-project work to determine the nature of a data analytics opportunity, develop a project proposal, apply for project and event funding, plan and manage all aspects of the project, supervise research and technical assistants, and work with ADIA staff on the promotion, outreach and training of data analytics in Nova Scotia and Atlantic Canada. S/he will work with a wide range of stakeholders, functional teams, and application domains (agriculture, aquaculture, environment, green energy, health care, business) as well as student (senior undergraduate and graduate) research assistants. A detailed job description is available upon request. THE CANDIDATE We are seeking candidates who have a Master?s or PHD in Computer Science with a major in Data Science or Data Analytics with at least one year of related data analytics project experience and publications in the area of data analytics and machine learning or related areas. Applicants must have strong communication, interpersonal, and presentation skills and a demonstrated ability to use sound judgment, maintain confidentiality and make good technical and business decisions. The ideal candidate will have experience with the data mining life cycle (eg. CRISP-DM) and managing projects that include: business understanding, data understanding, data preparation and data visualization, predictive model development and evaluation, and model deployment and project reporting. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, deep learning, etc.) and experience with associated tools and libraries (eg. R, python, Tensorflow) will be required. Applicants must be able to work a flexible schedule and possess a valid driver?s license as occasional travel may be required. THE REWARDS This position offers the opportunity to work on a variety of data analytics projects and to help build new high technology companies in Nova Scotia and Atlantic Canada. Acadia offers a comprehensive benefit package in addition to a starting salary of $80,000 per annum. To see more information on why Acadia is an employer of choice, please visit our website: http://hr.acadiau.ca To apply, forward a completed Employment Application form (see HR website), quoting competition #18-32-AU in the subject line, and forward with your resume via any of the following: E-mail: Employment at acadiau.ca Fax: 902-585-1075 Post: Department of Human Resources Acadia University Wolfville NS B4P 2R6 Consideration of applications will begin on 5 September 2018. For further information, please contact Kelli Mahoney at 902-585-1633 or kelli.mahoney at acadiau.ca Acadia University is committed to employment equity and values a diverse and inclusive workplace. We make every effort to hire exceptional individuals; however, Canadians and permanent residents will be given priority. We thank all applicants in advance, and advise that only those invited for an interview will be contacted. The University reserves the right not to fill this position. A six-month eligibility list may be established from this competition to fill future vacancies for identical positions. Acadia University is one of Canada?s leading primarily undergraduate institutions. For over 175 years, Acadia has been providing students with a learning environment that ensures they have every opportunity to succeed in life. Our graduates emerge with the tools required to be global citizens and community leaders. Acadia?s faculty and staff are key to our institutional success and share a commitment to provide our students with a high quality post-secondary education. Located only one hour from Halifax in Nova Scotia's beautiful Annapolis Valley, Wolfville offers residents an affordable lifestyle, outstanding recreational opportunities, internationally acclaimed restaurants, a healthy economy, and the best weather in the Atlantic provinces. -------------- next part -------------- An HTML attachment was scrubbed... URL: From arbib at usc.edu Sun Aug 26 14:08:47 2018 From: arbib at usc.edu (Michael Arbib) Date: Sun, 26 Aug 2018 18:08:47 +0000 Subject: Connectionists: Michael Arbib's autobiography is now open In-Reply-To: References: Message-ID: Get Outlook for iOS _____________________________ From: ?rdi P?ter Sent: Sunday, May 13, 2018 9:56 AM Subject: Connectionists: Michael Arbib's autobiography is now open To: Cc: , , , , , , , Dear All: The memoir of one of the legendary brain theoreticians, Michael Arbib: >From cybernetics to brain theory, and more: A memoir published in Cognitive Systems Research is now freely available by August 13th at ScienceDirect: https://urldefense.proofpoint.com/v2/url?u=https-3A__www.sciencedirect.com_science_article_pii_S1389041718301360&d=DwIFBA&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=eXy5m4nigBlFAqbXY1naTA&m=SSjoDdcJh_DoyfBjY4YKUdQALpLeSwlAFq8DsnnoiAY&s=NkpjPIfRThXXD2beBXyISoQ88DfYOW_BAC2-n3PwLT0&e= Hope you will enjoy to read this paper! Kind regards P?ter ?rdi -------------- next part -------------- An HTML attachment was scrubbed... URL: From notebleue at gmail.com Mon Aug 27 15:57:41 2018 From: notebleue at gmail.com (Y-Lan Boureau) Date: Mon, 27 Aug 2018 15:57:41 -0400 Subject: Connectionists: Call for papers -- Conversational AI: Today's Practice and Tomorrow's Potential Message-ID: ************************* Call for papers Workshop Title: Conversational AI: ?Today's Practice and Tomorrow's Potential? Workshop Website: http://alborz-geramifard.com/workshops/nips18-Conversational-AI Workshop Date: December 7thWorkshop Location: Montreal, CanadaSubmission: https://cmt3.research.microsoft.com/CONVERSATIONALAI2018 Deadline: October 25th, 11:59 PM EST ************************* Description: In the span of only a few years, conversational systems have become commonplace. Every day, millions of people use natural-language interfaces such as Siri, Google Now, Cortana, Alexa and others via in-home devices, phones, or messaging channels such as Messenger, Slack, Skype, among others. At the same time, interest among the research community in conversational systems has blossomed: for supervised and reinforcement learning, conversational systems often serve as both a benchmark task and an inspiration for new ML methods at conferences which don't focus on speech and language per se, such as NIPS, ICML, IJCAI, and others. Research community challenge tasks are proliferating, including the seventh Dialog Systems Technology Challenge (DSTC7), the Amazon Alexa prize, and the Conversational Intelligence Challenge live competitions at NIPS (2017, 2018).Following the overwhelming participation in our NIPS workshop last year (9 invited talks, 26 submissions, 3 orals papers, 13 accepted papers, 37 PC members, and couple of hundreds of participants), we are excited to continue promoting cross-pollination of ideas between academic research centers and industry. The goal of this workshop is to bring together researchers and practitioners in this area, to clarify impactful research problems, share findings from large-scale real-world deployments, and generate new ideas for future lines of research. This workshop will include invited talks, contributed work, and open discussion. In these talks, senior technical leaders from both academia and industry will give insights into real usage and challenges at scale. We will prioritize forward-looking papers that propose interesting and impactful contributions. We will end the day with an open discussion, including a panel consisting of academic and industrial researchers.Invited Speakers: ? Maxine Eskenazi (Carnegie Mellon University)? Milica Gasic (University of Cambridge)? Mari Ostendorf (University of Washington)? Lazaros C Polymenakos (IBM)? Alexander Rudnicky (Carnegie Mellon University)? Ruhi Sarikaya (Amazon)Co-chairs: ? Alborz Geramifard (Amazon)? Jason Williams (Apple) Organizers:? Y-Lan Boureau (Facebook)? Maxine Eskenazi (CMU)? Milica Ga?i? (University of Cambridge)? Jim Glass (MIT)? Dilek Hakkani-Tur (Amazon)? Larry Heck (Samsung)? Lazaros C Polymenakos (IBM)? Steve Young (Apple)* -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.cangelosi at manchester.ac.uk Tue Aug 28 08:26:21 2018 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Tue, 28 Aug 2018 12:26:21 +0000 Subject: Connectionists: Postdoc in Human-Robot Interaction and Cognitive RobotIcs, University of Manchester UK Message-ID: Postdoctoral Research Associate in Human Robot Interaction (H2020 MoveCare Project) University of Manchester, UK School of Computer Science - Cognitive Robotics Lab (Cangelosi? Lab) A post-doctoral research fellow is required for a period of up to 14 months to work on the H2020 collaborative project ?MoveCare: Multiple-actors Virtual Empathic Caregiver for the Elder? (www.movecare-project.eu). This candidate will carry out research on human robot interaction (HRI) for the design and test of a multimodal robot interface for the elderly and the testing during HRI experiments. A PhD or equivalent in Computer science, Robotics, Artificial Intelligence or allied disciplines is required. Excellent programming skills are essential, as well as robotics research skills. Knowledge of human-robot interaction research with the elderly is a desirable skill. The research fellow will be working collaboratively as part of the cognitive robotics research lab at the School of Computer Science at the University of Manchester under the supervision of Professor Angelo Cangelosi. Close collaboration with the other project partners will also be required. Expected start date is 1 November 2018 (or as soon as possible after this date, subject to negotiation The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women?s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/ Enquiries about the vacancy, shortlisting and interviews: Email: angelo.cangelosi at manchester.ac.uk General enquiries: Email: hrservices at manchester.ac.uk Tel: 0161 275 4499 Salary : ?31,604 to ?38,833 per annum https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=15944 This vacancy will close for applications at midnight on 24 September 2018 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Hong.Yu at umassmed.edu Tue Aug 28 09:36:42 2018 From: Hong.Yu at umassmed.edu (Yu, Hong) Date: Tue, 28 Aug 2018 13:36:42 +0000 Subject: Connectionists: Postdoc in natural language processing and data mining using electronic health records Message-ID: We are recruiting highly motivated students and postdoc researchers to join our team (http://bio-nlp.org/) for developing innovative deep learning approaches for natural language processing (NLP) and knowledge discovery using longitudinal electronic health records. Interested, please email hong.yu at umassmed.edu Hong Yu, PhD, FACMI Professor, Department of Computer Science University of Massachusetts, Lowell University of Massachusetts, Amherst (Adjunct) Department of Medicine (Adjunct) University of Massachusetts Medical School and Research Health Scientist, Bedford VAMC 781-687-2642 (Bedford) 978-934-6132 (Lowell) Call: 508-856-8222 (UMMS) Participant Code: 0176 Moderator Code: 2294 Confidentiality Notice: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential, proprietary and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender immediately and destroy or permanently delete all copies of the original message. -------------- next part -------------- An HTML attachment was scrubbed... URL: From msn2018 at mail.neu.edu.cn Thu Aug 30 01:32:07 2018 From: msn2018 at mail.neu.edu.cn (MSN2018) Date: Thu, 30 Aug 2018 13:32:07 +0800 (GMT+08:00) Subject: Connectionists: CFP: Mobile Ad-hoc and Sensor Networks 2018 Message-ID: <711235d6.614a.16589513cea.Coremail.msn2018@mail.neu.edu.cn> Apologies for any cross posting 14th Int. Conference on Mobile Ad-hoc and Sensor Networks Shenyang, China Dec. 6- 8, 2018 http://conf.neu.edu.cn/msn2018 You are cordially invited to submit your contribution until September 15, 2018. Final manuscripts should be prepared according to IEEE Computer Society Proceedings Format (double column, 10pt font) and submitted via the EasyChair system in PDF file format. The manuscript should be no longer than 6 pages. Up to two additional pages are permitted if the authors are willing to pay an over-length charge at the time of publication (manuscripts should not exceed 8 pages in total). Final manuscripts should not be previously published in or be under consideration for publication in another conference or journal. To submit your contribution visits the submission page (https://easychair.org/conferences/?conf=msn2018). ? Papers will be included in the conference proceedings edited by IEEE ? Extended versions will be invited for publication in special issues of international journals: o IEEE Transactions on Industrial Informatics edited by IEEE o IET Networks edited by IET o IEEE Wireless Communications edited by IEEE o Sensors edited by MDPI Topics include, but are not limited to: o Ad Hoc Networks o Vehicular Networks o Intelligent Sensor Networks o Urban Computing o Internet of Things o Edge and Fog Computing/Networking o 5G networks o Cognitive Radio Networks o Mobile Social Networks o Mobile Crowdsensing and Computing o Smart Networks o Knowledge Centric Networks o Delay Tolerant and Opportunistic Networking o Network Security and Privacy o Artificial Intelligence for Networking and Communications o Novel Applications and Architecture Steering Committee Co-Chairs Xiaohua Jia, City University of Hong Kong Jiannong Cao, Hong Kong Polytechnic University General Co-Chairs Xingwei Wang, Northeastern University, China Vincenzo Piuri, University of Milan, Italy TPC Co-Chairs Ruiyun Yu, Northeastern University, China Hongyi Wu, Old Dominion University, USA Dieter Hogrefe, University of Goettingen, Germany Publication Chair Guangtao Xue, Shanghai Jiao Tong University, China Xu Yuan, University of Louisiana at Lafayette, USA Yuanguo Bi, Northeastern University, China Yuan Liu, Northeastern University, China Publicity Chair Guangjie Han, Dalian University of Technology, China Cong Wang, Old Dominion University, USA Jie Jia, Northeastern University, China Jie Li, Northeastern University, China Yang Liu, Beijing University of Posts and Telecommunications, China Financial Chair Lianbo Ma, Northeastern University, China Local arrangement Chair Zhenhua Tan, Northeastern University, China Web Chair Yu Wang, Northeastern University, China -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Thu Aug 30 14:29:11 2018 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Thu, 30 Aug 2018 14:29:11 -0400 Subject: Connectionists: NEURAL NETWORKS, Sept. 2018 Message-ID: <27efe467-8c03-a11b-2079-5c2fbd39c12b@cse.ohio-state.edu> Neural Networks - Volume 105, September 2018 http://www.journals.elsevier.com/neural-networks Affect recognition from facial movements and body gestures by hierarchical deep spatio-temporal features and fusion strategy Bo Sun, Siming Cao, Jun He, Lejun Yu Efficient coding matters in the organization of the early visual system Qingqun Kong, Jiuqi Han, Yi Zeng, Bo Xu Nonlinear analysis and synthesis of video images using deep dynamic bottleneck neural networks for face recognition Saeed Montazeri Moghadam, Seyyed Ali Seyyedsalehi Decoding natural images from evoked brain activities using encoding models with invertible mapping Chao Li, Junhai Xu, Baolin Liu Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann, Mohammad Reza Bonyadi, ... Omid Kavehei Denoising Autoencoder Self-Organizing Map (DASOM) Christos Ferles, Yannis Papanikolaou, Kevin J. Naidoo Convex formulation of multiple instance learning from positive and unlabeled bags Han Bao, Tomoya Sakai, Issei Sato, Masashi Sugiyama Adaptive critic designs for optimal control of uncertain nonlinear systems with unmatched interconnections Xiong Yang, Haibo He High-resolution Self-Organizing Maps for advanced visualization and dimension reduction Ayu Saraswati, Van Tuc Nguyen, Markus Hagenbuchner, Ah Chung Tsoi Coupled convolution layer for convolutional neural network Kazutaka Uchida, Masayuki Tanaka, Masatoshi Okutomi Class-specific extreme learning machine for handling binary class imbalance problem Bhagat Singh Raghuwanshi, Sanyam Shukla Representation learning using event-based STDP Amirhossein Tavanaei, Timothee Masquelier, Anthony Maida Improving efficiency in convolutional neural networks with multilinear filters Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj A sparsity-based stochastic pooling mechanism for deep convolutional neural networks Zhenhua Song, Yan Liu, Rong Song, Zhenguang Chen, ... Qing Jiang Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition Minju Jung, Haanvid Lee, Jun Tani Discovering space -- Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience Alban Laflaquiere, J.Kevin O'Regan, Bruno Gas, Alexander Terekhov Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis Qiaolin Ye, Liyong Fu, Zhao Zhang, Henghao Zhao, Meem Naiem Nonparallel support vector regression model and its SMO-type solver Long Tang, Yingjie Tian, Chunyan Yang Survey and experimental study on metric learning methods Dewei Li, Yingjie Tian Anti-synchronization of complex-valued memristor-based delayed neural networks Dan Liu, Song Zhu, Kaili Sun Bayesian estimation of multidimensional latent variables and its asymptotic accuracy Keisuke Yamazaki Period-adding bifurcation and chaos in a hybrid Hindmarsh-Rose model Yi Yang, Xiaofeng Liao, Tao Dong Global stabilization analysis of inertial memristive recurrent neural networks with discrete and distributed delays Leimin Wang, Zhigang Zeng, Ming-Feng Ge, Junhao Hu Synchronization of hybrid coupled reaction-diffusion neural networks with time delays via generalized intermittent control with spacial sampled-data Binglong Lu, Haijun Jiang, Cheng Hu, Abdujelil Abdurahman Global Mittag-Leffler stability and synchronization analysis of fractional-order quaternion-valued neural networks with linear threshold neurons Xujun Yang, Chuandong Li, Qiankun Song, Jiyang Chen, Junjian Huang Finite-time synchronization of stochastic coupled neural networks subject to Markovian switching and input saturation P. Selvaraj, R. Sakthivel, O.M. Kwon Event-triggered H_infinity state estimation for semi-Markov jumping discrete-time neural networks with quantization R. Rakkiyappan, K. Maheswari, G. Velmurugan, Ju H. Park Delayed state-feedback control for stabilization of neural networks with leakage delay Haitao Zhu, R. Rakkiyappan, Xiaodi Li Global exponential stability of octonion-valued neural networks with leakage delay and mixed delays Calin-Adrian Popa Leaderless synchronization of coupled neural networks with the event-triggered mechanism Siqi Lv, Wangli He, Feng Qian, Jinde Cao On the importance of hidden bias and hidden entropy in representational efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines Altynbek Isabekov, Engin Erzin Exploiting layerwise convexity of rectifier networks with sign constrained weights Senjian An, Farid Boussaid, Mohammed Bennamoun, Ferdous Sohel Characterization of electroencephalography signals for estimating saliency features in videos Zhen Liang, Yasuyuki Hamada, Shigeyuki Oba, Shin Ishii Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation Lin Xiao, Zhijun Zhang, Zili Zhang, Weibing Li, Shuai Li Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities Farouk Zouari, Asier Ibeas, Abdesselem Boulkroune, Jinde Cao, Mohammad Mehdi Arefi Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks Atharva Sharma, Xiuwen Liu, Xiaojun Yang From Pavis at iit.it Thu Aug 30 12:43:32 2018 From: Pavis at iit.it (Pavis) Date: Thu, 30 Aug 2018 16:43:32 +0000 Subject: Connectionists: Postdoctoral position in Computer Vision & Machine Learning - [ Postdoc ] BC 75470 In-Reply-To: <28b7ea51c65b43d8a3d256933d7640e1@iit.it> References: <28b7ea51c65b43d8a3d256933d7640e1@iit.it> Message-ID: <34cb081198ea4cf5b277057b9d6037d8@iit.it> Postdoctoral position in Computer Vision & Machine Learning - [ Postdoc ] BC 75470 Workplace: Genova, IIT, ITALY Added on: 26/06/2018 - Expires on: 15/09/2018 The Pattern Analysis and Computer Vision Research Line (PAVIS) at IIT in Genova is looking for a highly qualified post doc with a strong background in Computer Vision, Pattern Recognition and Machine Learning, with particular emphasis on recognition, video analysis, behavior understanding and prediction. As the activities may be carried out in collaboration with other IIT research units, the previous multidisciplinary experience is an added value which will be duly considered. The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other IIT research units providing scientists in Neuroscience, Nanophysics and other IIT departments/centers with ad hoc solutions. To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal\multimedia data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners. In particular, this call aims at consolidating PAVIS expertise in the video surveillance area and especially on action/activity recognition and scene understanding from video sequences and other sensory modalities. In particular, the following topics are of interest: Analysis of static and dynamic scenes. Recognition (objects, scenes, actions, events, etc.) and reconstruction. Behavior Analysis and Activity Recognition (individuals, groups, crowd). Prediction of intentions. Domain Adaptation. Mutimodal data analysis Zero-shot Learning >From the methodological standpoint, the ideal candidate should be familiar with one or more of the following subjects (it?s not an exhaustive list): Deep Learning, Graphical Models, Topic Models, Representation/Feature Learning, Sparse and Dictionary Learning, Clustering, Kernel methods, Manifold Learning and Statistical and Probabilistic Models in general. Candidates for this position have a Ph.D. in Computer Vision, Machine Learning, Pattern Recognition or related areas. Research experience and qualification in computer vision and pattern recognition/machine learning are clearly a must and evidence of top quality research on the above-specified areas in the form of published papers in top conferences/journals and/or patents is mandatory. Moreover, experience in the preparation and management of research proposals (EU, US, national) and industrial research projects, a few years of postdoc experience, either in academia or in an industrial lab, will also be duly considered. The winning candidate will also be asked to contribute to setting up new (funding) project proposals and will participate in funding activities. He/she is also expected to publish his/her research results in leading international journals and conferences, supervise PhD candidates and collaborate with other scientists, also with different expertise. Salary will be commensurate with qualification and experience and in line with international standards. Further details and informal enquiries can be made by email to pavis at iit.it quoting PAVIS-PD 75470 as reference number. Please send your completed application forms by September 15, 2018. Application must include: a curriculum listing all publications (possibly including a pdf of your most representative publications), a research statement describing your previous research experience and outlining its relevance to the above topics and the name of 2 referees by email to pavis at iit.it quoting PAVIS-PD 75470 as reference number. IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10-state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies. We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo at iit.it). Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cllewis at uchicago.edu Thu Aug 30 14:34:06 2018 From: cllewis at uchicago.edu (Candice Lewis) Date: Thu, 30 Aug 2018 13:34:06 -0500 Subject: Connectionists: Postdoctoral Position in the Science of Teams and Innovation @ the Knowledge Lab, UChicago Message-ID: The Knowledge Lab at the University of Chicago seeks to hire an outstanding candidate for a postdoctoral research project with support from the National Science Foundation that uses large-scale data analysis and online team experiments to explore how to design teams for innovation and success. The project, titled ?Understanding Team Success and Failure? was partially inspired by insight from our own recent work studying more than 50 million teams in science and technology that illustrated how smaller teams are much more likely than larger ones to produce work that disrupts the frontier . The project is also motivated by the realization that the vast majority of research on teams exhibits success bias, where data on failed teams remains under-recorded or censored. This project will involves a two-stage research program to understand how successful teams of different sizes and shapes ?think differently? and can be designed to accelerate scientific, technological and creative discovery, invention and development. Postdoctoral candidates will design and conduct independent research, in collaboration with UChicago Professor and Knowledge Lab Director James Evans , and Dashun Wang , a network scientist and physicist from Northwestern University?s Kellogg School of Management. Candidates much have substantial computational and data science background and a Ph.D. in Sociology, Economics, Psychology or a related Social/Behavioral Science, Physics, Applied Math, Computer Science, Engineering or a related field, and a strong publishing background. Specifically, the successful candidate will be responsible for assembling data, constructing features and evaluating success and failure outcomes for millions R&D teams over 100 years in terms of team size, network structure, role composition and experience. Second, insights developed from this investigation will enable the candidate, in collaboration with Evans, Wang and the broader team, to collaborate on the launch of large-scale online team experiments to isolate the causal mechanisms driving team success and failure. We will publish the results of analyses and experiments and make recommendations for policy to design teams optimized for specific purposes, such as advancing science and technology. Candidates must have experience with statistical models, inference, and knowledge of experimental design. Experience with Bayesian inference and machine learning a strong plus. Candidates should also have extensive experience (2 or more years) with scientific computing in Python. Positions could begin anytime within the coming year, and as early as September 2018. Competitive salary & benefits. To apply, please send CV and names for letters from at least two references to Candice Lewis, cllewis at uchicago.edu. Candice Lewis, Ph.D. Assistant Director The Knowledge Lab University of Chicago 5735 S Ellis Ave| Room 221 Chicago, IL 60637 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Postdoc NSF Teams.pdf Type: application/pdf Size: 67906 bytes Desc: not available URL: From cllewis at uchicago.edu Thu Aug 30 14:36:12 2018 From: cllewis at uchicago.edu (Candice Lewis) Date: Thu, 30 Aug 2018 13:36:12 -0500 Subject: Connectionists: Postdoctoral Position in Understanding and Improving Peer Review @ the Knowledge Lab, UChicago Message-ID: The Knowledge Lab at the University of Chicago seeks to hire an outstanding candidate for a postdoctoral research opportunity with support from the National Science Foundation to understand the nature of peer review and improve it for the many purposes to which it is applied in the modern scientific enterprise (e.g., grant allocation, conference participation, manuscript selection). The project, titled ?Optimizing Scientific Peer Review? responds to the realization that reviewers are influenced by innumerable biases, including those instilled through training; stemming from personal allegiances; inculcated by experience; colored by race, gender, career stage, and status; and resulting from direct commitments to (or against) an idea, framework, or style. These complicating factors make the match of reviewers to submitted manuscripts a critical factor for review outcome. The match between reviewers and manuscripts, however, has rarely been analyzed and has never been optimized for minimizing bias and maximizing quality. This project will analyze the effect of reviewer choice and review pool composition on review outcomes, design field review experiments to identify discovered effects, and deploy algorithms to improve the reviewer matching process. Consider an early publication from the program here . Postdoctoral candidates will design and conduct independent research, in collaboration with UChicago Professor and Knowledge Lab Director James Evans , Daniel Acu?a , a Computer and Information Scientist from Syracuse University, and Konrad K?rding , a computational neuroscientist and data scientist from the University of Pennsylvania. Candidates much have substantial computational and data science background and a Ph.D. in Sociology, Economics, Psychology or a related Social/Behavioral Science, Linguistics, Physics, Applied Math, Computer Science, Information Science or a related field, and a strong publishing background. Specifically, the successful candidate will be responsible to (1) manage large-scale scientific publication and review data; (2) develop features capturing scientific collaborations and citation networks, manuscript contents, and the profiles of manuscript authors, editors and reviewers; (3) use statistical and machine learning approaches to quantify the impact of reviewer-manuscript matches on review outcomes; and (4) generate and design experiments to evaluate reviewer recommendations that seek to optimize reviewer assignment for the benefit of the scientific enterprise (e.g., increasing novelty; reducing time to publication, minimizing bias). Review experiments will be in collaboration with publishers (e.g., PLOS ONE), conferences (e.g., Cosyne), and potentially funding agencies. Candidates must have experience with Statistical Modeling, Machine Learning (ML) and Natural language Processing (NLP) techniques. Candidates would benefit from knowledge regarding state of the art in network analysis and NLP (e.g., neural language models, context free grammars and auto encoders). Candidates must have knowledge of scientific computing in Python. Positions could begin anytime within the coming year, and as early as September 2018. Competitive salary & benefits. To apply, please send CV and names for letters from at least two references to Candice Lewis, cllewis at uchicago.edu. Candice Lewis, Ph.D. Assistant Director The Knowledge Lab University of Chicago 5735 S Ellis Ave| Room 221 Chicago, IL 60637 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Postdoc NSF Peer Review.pdf Type: application/pdf Size: 101503 bytes Desc: not available URL: From vito.trianni at istc.cnr.it Wed Aug 29 11:07:41 2018 From: vito.trianni at istc.cnr.it (Vito Trianni) Date: Wed, 29 Aug 2018 17:07:41 +0200 Subject: Connectionists: [meetings] Workshop "Swarm Robotics - Pushing the State of the Art" - Rome, October 25-26 2018 Message-ID: <9AC2AE87-F824-427F-BE90-7584C616B227@istc.cnr.it> Swarm Robotics - Pushing the State of the Art October 25-26 2018 Rome, Italy http://laral.istc.cnr.it/swarm_robotics_2018/ ? Description ? Swarm robotics is the domain of robotics that deals with large groups of robots that coordinately and cooperatively accomplish a task. Inspired by natural self-organising systems like ant colonies, fish schools or bird flocks, the goal of swarm robotics research is to deploy complex robotics systems that present robustness to faults, scalability to different group sizes, flexibility of the displayed behaviour and adaptivity to environmental changes. The problems faced by swarm robotics concerns mainly the analysis of complex systems formed by a multitude of interacting units, the design of individual level rules leading to desired collective behaviours, and the application of the lessons learned in lab research to real-world domains. The workshop will discuss cutting-edge research in all these directions thanks to a great assembly of invited speakers, and will represent a unique place where to trace the future of this research field beyond the state of the art. ? Participation ? Presentations at the workshop will be given by invited speakers only (see the program below). Participation to the workshop is limited to a very small number of attendees, on a first-come-first-served basis, upon payment of a registration fee of ?150,00 to cover organisation costs. The interested attendees should fill in the registration form (https://goo.gl/forms/D3sDx7IGsdSLsvgI3) to indiciate their interest. Instructions for the payment of the registration fee (by credit card or bank transfer) will be communicated to the selected attendees. Participation to the workshop is secured upon reception of the payment. ? Location ? The workshop will take place at the Hotel Nord Nuova Roma (http://www.hotelnordnuovaroma.it/en/), very close to the Termini station in central Rome. The workshop is co-located with ANTS 2018, the Eleventh International Conference on Swarm Intelligence (Rome, October 29-31, 2018 ? http://swarm-intelligence.eu/ants2018/), providing a unique occasion for discussing the cutting-edge research performed in the swarm robotics domain. ? Program ? Thursday, October 25, 2018 Session I: Biological foundations 9:00 - 9:15 Opening Talk 9:15 - 10:00 Andrew King 10:00 - 10:30 James Herbert-Read 10:30 - 11:00 Coffee break 11:00 - 11:30 Guy Theraulaz 11:30 - 12:00 Asja Jelic 12:00 - 12:30 Ofer Feinerman 12:30 - 13:45 Lunch break Session II: Analysis tools 13:45 - 14:30 Clement Sire 14:30 - 15:00 Arianna Bottinelli 15:00 - 15:30 Andrea Perna 15:30 - 16:00 Coffee break 16:00 - 16:30 James A. R. Marshall 16:30 - 17:00 Mieke Massink 17:00 - 17:30 Ira Schwartz Friday, October 26, 2018 Session III: Design methods 9:15 - 10:00 Mauro Birattari 10:00 - 10:30 Anders Lyhne Christensen 10:30 - 11:00 Coffee break 11:00 - 11:30 Heiko Hamann 11:30 - 12:00 Marco Dorigo 12:00 - 12:30 Danesh Tarapore 12:30 - 13:45 Lunch break Session IV: Towards real world applications 13:45 - 14:30 Metin Sitti 14:30 - 15:00 Spring Berman 15:00 - 15:30 Wafa Johal 15:30 - 16:00 Coffee break 16:00 - 16:30 Vito Trianni 16:30 - 17:00 Guido de Croon 17:00 - 18:00 Closing discussion Moderated by Nicola Nosengo ? Organising Committee ? Marco Dorigo, IRIDIA, Universit? Libre de Bruxelles, Belgium ? http://iridia.ulb.ac.be/~mdorigo/HomePageDorigo/ Guy Theraulaz, CRCA, CNRS UMR 5169, Universit? Paul Sabatier, Toulouse, France ? http://cognition.ups-tlse.fr/spip.php?article182&lang=en Vito Trianni, ISTC, National Research Council, Rome, Italy ? http://laral.istc.cnr.it/trianni/ ? Funding ? The workshop organisation is supported by the Office of Naval Research Global, under grant agreement ONRG-CSP-N62909-18-1-2156. ======================================================================== Vito Trianni, Ph.D. vito.trianni@(no_spam)istc.cnr.it ISTC-CNR http://www.istc.cnr.it/people/vito-trianni Via San Martino della Battaglia 44 Tel: +39 06 44595277 00185 Roma Fax: +39 06 44595243 Italy ======================================================================== From Stephan.Lewandowsky at bristol.ac.uk Thu Aug 30 14:35:40 2018 From: Stephan.Lewandowsky at bristol.ac.uk (Stephan Lewandowsky) Date: Thu, 30 Aug 2018 18:35:40 +0000 Subject: Connectionists: post-doctoral position in Berlin (Max Planck) with machine learning/AI focus Message-ID: The Center for Adaptive Rationality at the Max Planck Institute for Human Development, Berlin, Germany, under the direction of Prof. Dr. Ralph Hertwig, seeks applicants for 1 Postdoctoral researcher on Artificial Intelligence and the society of the future (January 2019 onwards) https://www.mpib-berlin.mpg.de/sites/default/files/download/jobs/19-2018_stellenanzeige_arc-ie.pdf The Center for Adaptive Rationality takes an interdisciplinary approach to cognitive science and decision making. For this position, applicants should be interested in using behavioral experimentation and/or computational methods to study artificial intelligence and its potential to transform society on social, political and economic levels. There will be an emphasis on the spread of disinformation ("fake news"). Professor Stephan Lewandowsky FAcSS FAPS Royal Society Wolfson Research Fellow School of Psychological Science and Cabot Institute University of Bristol 12A Priory Road Bristol BS8 1TU Twitter: @STWorg Office: +44 117 928 8465 Mobile: +44 74401 89544 Access to >80 global experts in misinformation research: http://www.bristol.ac.uk/expsych/research/posttruthexperts/ Personal site: http://www.cogsciwa.com Personal blog: http://www.shapingtomorrowsworld.org A top 10 UK university (QS Rankings 2019) A top 4 UK university with leading employers (High Fliers 2018) A top 5 UK university for research (THE analysis of REF 2014) -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.stein at fz-juelich.de Thu Aug 30 06:46:19 2018 From: a.stein at fz-juelich.de (Alexandra Stein) Date: Thu, 30 Aug 2018 12:46:19 +0200 Subject: Connectionists: Bernstein Conference 2018 in Berlin - Online registration ends September 6 Message-ID: <20f5109c-7d4b-f893-23d8-b251cd265950@fz-juelich.de> *BERNSTEIN CONFERENCE 2018 in Berlin* Reminder: Online registration deadline ends September 6, 2018 Please register here: http://www.nncn.de/de/bernstein-conference/2018/registration ***************************************************************************** Satellite Workshops: www.bernstein-network.de/en/bernstein-conference/2018/satellite-workshops Main Conference: www.bernstein-network.de/en/bernstein-conference/2018 PhD Symposium: www.bernstein-network.de/en/bernstein-conference/2018/phd-symposium **************************************************************************** The Bernstein Conference is the largest annual computational neuroscience conference in Europe and now regularly attracts around 500 international participants. This year, the conference will take place in Berlin from September 26-28, 2018. In addition, there will be a series of pre-conference Satellite Workshops on September 25-26, 2018. The Bernstein Conference is a single-track conference, covering all aspects of computational neuroscience and neurotechnology. Sessions for poster presentations are an integral part of the conference. The goal of the Satellite Workshops is to provide an informal forum for the discussion of timely research questions and challenges. For more information on the conference, please visit: www.bernstein-conference.de CONFERENCE DATE AND VENUE: Satellite Workshops: September 25-26, 2018 Venue: Technische Universit?t Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (10 min. walk to Bernstein Main Conference venue) Main Conference: September 26-28, 2018 Venue: Technische Universit?t Berlin (TU Berlin) Main Building, Strasse des 17. Juni 135, 10623 Berlin PhD Symposium: September 28-29, 2018 Venue: Bernstein Center for Computational Neuroscience Berlin, Philippstra?e 13, Haus 6, 10115 Berlin NEW THIS YEAR: Postdoc Meeting: September 25, start 7:00 pm Venue: Technische Universit?t Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (in the same building as the Satellite Workshops) This event is an informal get-together for post-docs. It is an opportunity to get to know each other, foster collaborations, exchange experiences and ideas. No preparation required, but if you have an idea or a particular topic you want to discuss with your peers, bring it along. Drinks and snacks will be provided. PhD Social Event: September 25, start 8:00 pm Venue: depends on the number of participants Warm-up for PhD Symposium ACCOMMODATION AND HOTEL RESERVATION: We strongly recommend early room booking! The number of available accommodation is limited! Find a list of selected hotels and a link to a Berlin tourist information website here www.bernstein-conference.de/en/bernstein-conference/2018/hotels. We are looking forward to welcoming you in Berlin! Conference Chair: Andreas Herz Conference Host: Henning Sprekeler Program Chair: Gilles Laurent Program Vice Chair: Susanne Schreiber Workshop Chair: Jakob Macke Workshop Vice Chair: Tatjana Tchumatchenko Technical Organization: Bernstein Coordination Site (BCOS): Alexandra Stein, Kerstin Schwarzwaelder -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9583 mobile: (+49) 0151 67114645 mail: a.stein at fz-juelich.de web: www.bernstein-network.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dpal at oath.com Thu Aug 30 10:59:59 2018 From: dpal at oath.com (David Pal) Date: Thu, 30 Aug 2018 10:59:59 -0400 Subject: Connectionists: Research Scientist Position at Yahoo Research, New York Message-ID: Yahoo Research (at Oath) is growing its strategic research teams to enable the company to build new products and platforms that our customers need, now and in the future. We have exciting job openings in several technical focus areas that are located in our New York City office located in Greenwich Village, one of the most exciting NYC neighborhoods. We hire best scientific minds who like to roll up their sleeves, make new discoveries and contribute to the success of the business. We are looking for Research Scientists with a PhD degree in Computer Science, Industrial or Electrical Engineering or Mathematical Optimization. Our scientists specialize in designing and building scalable and reliable distributed and parallel systems that serve all the aspects of big data like data mining, optimization, machine learning, computational economics and analytics. Our group recently grew in all the above disciplines and we continue our expansion. We design innovative algorithms to push the capacity, performance and reliability of our platforms, exploit novel hardware and software architectures, and evaluate the impact in Web-scale production settings. We actively contribute to the scientific and open source communities in foundations of Computer Science, Machine Learning, Mathematical Optimization and Computational Economics. Here are some reasons to explore this opportunity: 1. We have a huge number of research problems to solve that lie on the intersection of Optimization, Machine Learning and Computational Economics. If you are an expert in one of these fields and want to expand your research profile this is an ideal place for you. 2. We work on game changing products and solutions, you can quickly see how your research ideas and algorithms influence revenue and user engagement. The selection of our projects is unparalleled and we have amazing relationships with the product groups. 3. We care about you continuing your fundamental research, publishing papers and keeping track of the latest technologies developed in your respective field. Responsibilities Include: ? Deep dive into the data to understand and apply patterns, while maintaining a sense of the big picture. ? Work closely with colleagues on the engineering team to put research results into action. ? Provide thought leadership to guide the direction of Yahoo products and services. ? Push your own research agenda and look to influence our products and services with your expertise. Required Skills and Qualifications ? PhD in Computer Science, Industrial or Electrical Engineering or Mathematical Optimization. ? Strong research track record (academic or industrial) in one of the following areas: Mathematical Optimization and Algorithm Design, Data Analytics, Machine Learning, Computational Economics (auctions, pricing, mechanism design) or related areas. ? Strong design and implementation skills in Java, Scala or C++. Experience with large-scale production code development is a plus. ? Ability to conduct research that is justified and guided by business opportunities. ? Strong communication and presentation skills. Please send your CV and a short letter of interest to Maxim Sviridenko (sviri at oath dot com). Soft application deadline is September 30, 2018. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ResearchScientistAd2018.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 22718 bytes Desc: not available URL: From maass at igi.tugraz.at Fri Aug 31 03:18:27 2018 From: maass at igi.tugraz.at (Wolfgang Maass) Date: Fri, 31 Aug 2018 09:18:27 +0200 Subject: Connectionists: Opening for phd students in Deep Learning/Spiking Neurons Message-ID: <6e7f43ed-2a24-894c-3cb0-e0f7b1887d04@igi.tugraz.at> We are looking for highly qualified Phd students who want to write a thesis in the areas Deep Learning/Spiking Neurons/Brain Models/Neuromorphic Hardware. A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. We can offer financial support and collaboration with our partners in the Human Brain Project (Flagship Project of the EU) https://www.humanbrainproject.eu/en/ and the Intel Neuromorphic Research Community https://newsroom.intel.com/editorials/intel-creates-neuromorphic-research-community/ Our current research focuses on applications of Deep Learning, especially Learning-to-Learn, to optimize networks of spiking neurons in TensorFlow https://www.tensorflow.org/ Please send your CV and pdf of your master thesis or other prior work by September 9 to Mrs. Windisch-Scharler daniela.windisch-scharler at igi.tugraz.at -- Prof. Dr. Wolfgang Maass Institut fuer Grundlagen der Informationsverarbeitung Technische Universitaet Graz Inffeldgasse 16b , A-8010 Graz, Austria Tel.: ++43/316/873-5822 Fax ++43/316/873-5805 http://www.igi.tugraz.at/maass/Welcome.html From felipe at cos.ufrj.br Fri Aug 31 09:32:45 2018 From: felipe at cos.ufrj.br (Felipe Maia Galvao Franca) Date: Fri, 31 Aug 2018 10:32:45 -0300 Subject: Connectionists: CFP: "60 Years of Weightless Neural Systems" at ESANN 2019 Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "60 Years of Weightless Neural Systems" at ESANN 2019 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019). 24-26 April 2019, Bruges, Belgium - http://www.esann.org Mimicking biological neurons by focusing on the decoding performed by the dendritic trees is an attractive alternative to the integrate-and-fire McCullogh-Pitts neuron stylisation. RAM-based, or Boolean neurons, and weightless neural systems have been studied and applied in a broad spectrum of situations, resulting in theoretical findings and the development of exciting applications to an ample set of domains, ranging from natural language processing to game playing, including memory transfer mechanisms, biomedical applications, computational vision, hardware security, and quantum learning. The year of 2019 marks the 60-years anniversary of the seminal paper on n-tuple classifiers by Bledsoe and Browning, as well as the 35-years of the WiSARD model, and the tenth anniversary of the first special session on weightless neural systems at ESANN. This session invites original contributions on theoretical and practical aspects of weightless neural systems at all levels of abstraction, as well as their relationship to themes of current interest such as: deep learning, convolutional neural models, adversarial learning, etc. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.elen.ucl.ac.be/esann /index.php?pg=submission Each paper will undergo a peer reviewing process for its acceptance. Authors should send as soon as possible an e-mail with the tentative title of their contribution to the special session organisers. IMPORTANT DATES: Submission of papers: 19 November 2018 Notification of acceptance: 31 January 2019 ESANN conference: 24 - 26 April 2019 SPECIAL SESSION ORGANISERS: Priscila M. V. Lima, Universidade Federal do Rio de Janeiro (Brazil) Felipe M. G. Fran?a, Universidade Federal do Rio de Janeiro (Brazil) Massimo De Gregorio, Ist. di Sci. Appl. e Sistemi Intelligenti (Italy) Wilson R. de Oliveira, Univ. Fed. Rural Pernambuco (Brazil) -- ??????????????????????????????? Felipe M. G. Fran?a, PhD Professor of Computer Science and Engineering Systems Engineering and Computer Science Program, COPPE Universidade Federal do Rio de Janeiro P.O. Box 68511, 21941-972, Rio de Janeiro, RJ, Brazil felipe at ieee.org felipe at cos.ufrj.br ??????????????????????????????? -------------- next part -------------- An HTML attachment was scrubbed... URL: