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PhD Opportunities in the Department of Cognitive Sciences at the University of California, Irvine

by Jeff Krichmar

Dear colleagues, The Department of Cognitive Sciences at the University of California, Irvine is seeking graduate students for admission in Fall 2018. We invite exceptional and highly motivated candidates to apply for full-time PhD research in computational neuroscience, machine learning, computational vision, neural networks, and neurorobotics. Students will have the opportunity to work in the Cognitive Anteater Robotics laboratory (PI: Jeff Krichmar), the Neuromorphic Machine Intelligence laboratory (PI: Emre Neftci), and the newly established Visual Perception laboratory (PI: Zyg Pizlo) at UC Irvine. For more information about ongoing research see: · http://www3.psych.purdue.edu/~zpizlo/ · http://nmi-lab.org/ · http://www.socsci.uci.edu/~jkrichma/CARL/ Projects include: · Cognitive robotics for decision-making, planning, perception, and memory. · Efficient coding in the brain. · Models of neuromodulation. · Neurobiologically inspired vision models. · Models of human problem solving. · Neuromorphic engineering and machine learning · Spike-based computation Applicants should have strong mathematical and computer programming skills, as well as good communication skills. Successful applicants will receive funding toward their Ph.D. for at least 5 years. Founded in 1965, UCI is the youngest member of the prestigious Association of American Universities. The campus has produced three Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. UCI has more than 30,000 students and offers 192 degree programs. It’s located in one of the world’s safest and most economically vibrant communities and is Orange County’s second-largest employer, contributing $5 billion annually to the local economy. For more information about the Cognitive Sciences graduate program, please see: http://www.cogsci.uci.edu/graduate/index.php Jeff Krichmar Professor Department of Cognitive Sciences University of California, Irvine Email: jkrichma(a)uci.edu Website: http://www.socsci.uci.edu/~jkrichma Emre Neftci, PhD (ETH Zurich) Assistant Professor Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, University of California, Irvine Email: eneftci(a)uci.edu Zygmunt Pizlo Professor Falmagne Endowed Chair in Mathematical Psychology Department of Cognitive Sciences University of California, Irvine Email: zpizlo(a)uci.edu

Sept. 4, 2017

[Extended Deadline-CFP] - HAI 2017 Workshop: Representation Learning for Human and Robot Cognition

by Amir Aly

CALL FOR PAPERS **Apologies for cross posting ** The full day workshop: "*Representation Learning for Human and Robot Cognition*" In conjunction with the *5th International Conference on Human-Agent Interaction* *- Bielefeld - Germany - October * *17th, 2017* *Webpage: **http://cognitive-mirroring.org/en/events/hai2017_workshop/* <http://cognitive-mirroring.org/en/events/hai2017_workshop/> *I. Aim and Scope *Creating intelligent and interactive robots has been subject to extensive research studies. They are rapidly moving to the center of human environment so that they collaborate with human users in different applications, which requires high-level cognitive functions so as to allow them to understand and learn from human behavior. To this end, an important challenge that attracts much attention in cognitive science and artificial intelligence, is the “Symbol Emergence” problem, which investigates the bottom-up development of symbols through social interaction. This research line employs representation learning based models for understanding language and action in a developmentally plausible manner so as to make robots able to behave appropriately on their own. This could open the door to robots to understand syntactic formalisms and semantic references of human speech, and to associate language knowledge to perceptual knowledge so as to successfully collaborate with human users in space. Another interesting approach to study representation learning is “Cognitive Mirroring”, which refers to artificial systems that could make cognitive processes observable, such as the models that could learn concepts of objects, actions, and/or emotions from humans through interaction. A key idea of this approach is that robots learn individual characteristics of human cognition rather than acquiring a general representation of cognition. In this way, the characteristics of human cognition become observable and can be measured as modifications in model parameters, which is difficult to verify through neuroscience studies only. In this workshop, we invite researchers in artificial intelligence, cognitive science, cognitive robotics, and neuroscience to share their knowledge and research findings on representation learning, and to engage in cutting-edge discussions with other experienced researchers so as to help promoting this research line in the Human-Agent Interaction (HAI) community. *II. Keynote Speakers * 1. *Beata Joanna Grzyb *– Radboud University – The Netherlands 2. *Thomas Hermann*– Bielefeld University – Germany 3. *Tetsuya Ogata *– Waseda University – Japan 4. *Erhan Oztop *– Ozyegin Universiy – Turkey 5. * Stefan Wermter *– University of Hamburg – Germany *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission <https://easychair.org/conferences/?conf=rlhrc2017>*. 2. Use the ACM SIGCHI format: *ACM SIGCHI Templates <http://www.sigchi.org/publications/chipubform>*. 3. Submitted papers should be limited to 2-4 pages maximum. The primary list of topics covers the following points (but not limited to): - Computational model for high-level cognitive capabilities - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Human-robot communication and collaboration based on machine learning - Learning supported by external trainers by demonstration and imitation - Bayesian modeling - Learning with hierarchical and deep architectures - Interactive reinforcement learning * IV. Important Dates * 1. Paper submission: *15-September-2017* 2. Notification of acceptance: *25-September-2017* 3. Camera-ready version: *5-**October-2017* 4. Workshop: *17-October-2017* *V. Organizers * 1. *Takato Horii *– Osaka University – Japan 2. *Amir Aly *– Ritsumeikan University – Japan 3. *Yukie Nagai *– National Institute of Information and Communications Technology – Japan 4. * Takayuki Nagai *– The University of Electro-Communications – Japan -- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

Sept. 4, 2017

Bernstein 2017 workshop: "Information transmission and communication in brain circuits"

by alireza valizadeh

Dear All, We would like to draw your attention to the half day workshop *"Information transmission and communication in brain circuits"* at Bernstein Conference 2017, Sep 13, Göttingen, Germany. *Abstract:* The question of how the brain integrates the mutiplicity of local processes dispersed through its entire anatomy is a fundamental question in neuroscience. Any single cognitive function may involve several specialized areas whose association is mediated by the functional integration among them. Such integration is mediated by information exchange between brain areas through the routes which can change in fast timescales over which the structure is fixed, providing a flexible effective connectivity despite the rigidity of the infrastructure over fast timescales. The flexibility of the information routing and dynamic effective connectivity are a consequence of the multistability of the collective dynamics of the brain networks. In other words, a single structural connectivity can support plenty of degenerate dynamical states for each of which a special pattern of information transfer between the nodes is observed. Neuronal collective oscillations are hypothesized to provide such a basis for the dynamics communication between brain regions. Several lines of experimental evidences and theoretical arguments indicate that the phase relations between the oscillations of different brain regions can alter effective connectivity by modulating the gain of mutual influence between them. In this workshop the notion of information transfer in brain circuits and the role of brain rhythms in providing a dynamic effective communication network will be reviewed and the latest theoretical and experimental achievements will be presented. *Speakers:* - Wolf Singer (Max Planck Institute), - Mark Timme (Max Planck Institute) - Demian Battaglia (Aix-Marseille University) - Christoph Kirst (The Rockefeller University) - Santiago Canals (Instituto de Neurociencias de Alicante) - Raul Vicente (University of Tartu) - Leonardo Gollo (QIMR Berghofer Medical Research Institute) - Alireza Valizadeh (Institute for Advanced Studies in Basic Sciences) *Website:* http://www.nncn.de/en/bernstein-conference/2017/satellite-workshops/informa… Best regards, Alireza Valizadeh, Claudio Mirasso ------------------------------------------------------------------------ Alireza Valizadeh Associate professor Neurophysics lab, Institute for Advanced Studies in Basic Sciences (IASBS) School of cognitive sciences, Institute for research in fundamental sciences (IPM) Iran Tel:(+98) 24 3315 2120 Fax:(+98) 24 3315 2104 valizade(a)iasbs.ac.ir Web: http://www.iasbs.ac.ir/~valizade/index.html ------------------------------------------------------------------------

Sept. 4, 2017

CfPs Journal of Integrative Neuroscience: Brain-Inspired Intelligence Technology

by Reinoud Maex

Call for Papers Special issue of the Journal of Integrative Neuroscience on Brain-Inspired Intelligence Technology Guest Editors: R.J. Martis, H. Lin, E. Barakova and Y. Zeng BRAIN-INSPIRED INTELLIGENCE TECHNOLOGY Brain-inspired intelligence technology aims to showcase the principles and mechanisms of human intelligence through development of brain-inspired intelligent systems. It is an effort to extract, integrate and analyse these principles and mechanisms across scale from quantum neuroscience to cognitive science research in pioneering the next wave of sentient technologies. The special issue is unprecedented, showcasing brain-inspired technology beyond 2020. Deadline for submission:25 November 2017 How to Submit: Authors are requested to submit their manuscript via the submission system available at http://msTracker.com/submit1.php?jc=jin In the “Cover Letter” box please indicate you are submitting your paper to the special issue on Brain-Inspired Intelligence Technology Topics of relevance include: * Biophysical neural networks * Brain-inspired cognitive models * Wetware design * Neurophotonics * Elemental conscious constructs * Quantum entanglement in agents * Cognitive technology supporting brain-inspired intelligence * Brain connectome based on optical nanoscopy technology * Observer-independent intelligence * Pico-scale resolution patch-clamping * Brain-inspired super and general artificial intelligence * New deep neural networks for brain-inspired learning * Brain-inspired intelligent hardware infrastructures * Cognitive neurorobotics For more information contact: Yi Zeng, Ph.D Deputy Director Research Center for Brain-inspired Intelligence Institute of Automation Chinese Academy of Sciences Beijing, China, 100190 Email: yi.zeng(a)ia.ac.cn see also http://www.iospress.nl/wp-content/uploads/2017/03/CfP_Brain-Inspired_Intell…

Sept. 2, 2017

APA Technology, Mind, & Society Conference - Submissions due Oct 20

by Jeff Krichmar

Dear Colleagues, This upcoming APA conference on Technology, Mind, & Society may be of interest to many of you. Visit: http://www.apascience.org/conference/index.html The American Psychological Association will hold an interdisciplinary conference on Technology, Mind, and Society in Washington, D.C., on April 5-7, 2018. Scientists, practitioners, policymakers, and students from around the world are invited to participate in the event. The conference will provide a venue for reporting and assessing current efforts to understand and shape the interactions of human beings and technology, for identifying priorities for future work, and for promoting exchange and collaboration among participants. The conference will feature four keynote speakers: Cynthia Breazeal (MIT), Justine Cassell (Carnegie Mellon), Eric Horvitz (Microsoft Research), and Sandy Pentland (MIT). APA invites you and your colleagues and students to submit papers, symposia, and posters for this conference, which will be organized around the following broad themes: • Basic research: How humans understand and use technology, impacts of technology on human experience and behavior, human-technology interactions as mutually adaptive systems, role of technology in advancing other areas of scientific research, and related topics. • Foundations of technology design: Development of technologies informed by psychological, behavioral, and social science research. • Applications: Development, use, and impact of specific technologies in domains such as aging, education, mental and physical health, recreation, and the workplace. • Broader implications: Ethical and policy questions concerning the opportunities and challenges arising from human-technology interactions. The deadline for submissions is October 20, 2017. Submissions can be made here: https://www.openconf.org/APAScience2018TMS/openconf.php The conference is open to researchers, professionals, and students in all relevant areas, including psychology and other behavioral and social sciences, neuroscience, computer science, engineering, design, health research, education research, city and regional planning, public policy, history of science and technology, and philosophy. The conference aims to address the full range of contemporary and emerging technologies. These include but are not limited to artificial intelligence, robotics, mobile devices, social media, virtual/augmented reality, gaming, geographic information systems, autonomous vehicles, and biomedical technologies (e.g., brain-machine interfaces, genetic engineering). APA is sponsoring the conference in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI) and the Association for Computing Machinery — Special Interest Group for Computer-Human Interaction (ACM SIGCHI). We look forward to seeing you at the Technology, Mind, and Society Conference! For additional information, see the conference website. If you have any questions, please contact the APA Science Directorate (science(a)apa.org) Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

Sept. 2, 2017

Scientist I/II - Computational Neuroscience at Allen Institute for Brain Science

by Stefan Mihalas

POSITION SUMMARY We are seeking to fill a position at the level of Scientist to work on coarse-grained models of cortical networks aiming to understand how the observed structure and activity gives relate to cortical computations necessary for visual processing (e.g. figure ground segregation, integration of context). We use mouse vision as a model system and this position will focus on using population statistics (http://alleninstitute.github.io/dipde/) and filter neuron model simulation tools. More specifically, the scientist will work on (i) fitting network models with simple neurons which network structures are consistent with the observed mesoscopic connectivity and in vivo cellular activity, (ii) simulate the activity of such networks at neuronal an population levels and (iii) analyzing the relation between observed network structure and that predicted from different models of cortical computations. ESSENTIAL DUTIES AND RESPONSIBILITIES * Participate in team efforts to find network parameters which are consistent with activity (http://observatory.brain-map.org/visualcoding/) and connectivity (http://connectivity.brain-map.org/) data. * Simulate cortical networks parameterized from experimental data using population and simplified neuron model simulation tools. * Analyze how computations in vision (e.g. figure/ground segregation, integration of context) result from networks similar to those simulated. * Interact with groups performing simulations at other levels of resolution and with experimental groups. * Maintain clear and accurate communication with supervisor and team members. * Publish/present findings in peer-reviewed journals/scientific conferences. BASIC QUALIFICATIONS SCIENTIST I * PhD degree in computational neuroscience, physics, mathematics, applied mathematics or related field. * Strong background in scientific computing is required. * Experience in computational neuroscience is preferred. SCIENTIST II * PhD degree in computational neuroscience, physics, mathematics, applied mathematics or related field. * 4+ years of postdoctoral experience in computational science * Preferred Computational neuroscience * Strong background in scientific computing is required. * Strong publication record. Preferred Qualifications: * Ability to meet aggressive timelines and deliverables in a collaborative environment. * Proven independent thinking and flexibility. * Strong written and verbal communication skills * Experience in pursuing research projects in collaborative fashion. Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. By implementing a team science approach on a large scale, we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory. To apply please visit https://www.alleninstitute.org/what-we-do/brain-science/careers/job-search/. Applications will be considered on an ongoing basis. Apologies for coss-posting, Stefan Mihalas Assistant Investigator Allen Institute for Brain Science www.alleninstitute.org<http://www.alleninstitute.org/> Affiliate Assistant Professor Department of Applied Mathematics University of Washington

Sept. 1, 2017

5th Baltic-Nordic School on Neuroinformatics (BNNI 2017)

by Marja-Leena Linne

5th Baltic-Nordic School on Neuroinformatics BNNI 2017 Theoretical modelling of brain functions in neurological and psychiatric disorders: Advancing future neuroscience and medicine through Neuroinformatics methods Place: Neuroscience Institute Lithuanian University of Health Sciences Eiveniu str.4, Kaunas Lithuania Time: 6-7 October 2017 More information and applications at: web.lsmuni.lt/bnni/en Important dates: 10 September 2017: Application deadline 12 September 2017: Acceptance notification 6-7 October 2017: School We invite advanced master students, doctoral students, and postdoctoral researchers to participate in the BNNI 2017 to be held at the Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania. The course is interdisciplinary and covers modeling at different levels of organization of the brain, focusing on neurological and psychiatric disorders. The course combines lectures, tutorials and computer exercises. This school is the fifth in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, Lithuania; BNNI 2014 in Tampere, Finland; BNNI 2015 in Tartu, Estonia; BNNI in Warsaw 2016, Poland). The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain will be desirable but not necessary to benefit from the school. Last year we had participants from 14 countries all over the world! Faculty includes: Marja-Leena Linne, Tampere University of Technology, Finland; The Human Brain Project Bruce Graham, University of Stirling, UK Daniel Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland Arnd Roth, University College London, UK Peter Jedlicka, NeuroScience Center, Goethe-University, Frankfurt, Germany Tuomo Mäki-Marttunen, Simula Research Laboratory, Oslo, Norway Inga Griskova-Bulanova, Institute of Bioscience, Vilnius University, Lithuania Rima Naginiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Andrius Radziunas, Department of Neurosurgery, Medical Academy, and Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, and Vytautas Magnus University, Kaunas, Lithuania and others. Venue: The lectures will be held at the Neuroscience Institute, Lithuanian University of Health Sciences, Eivenių str. 4, Kaunas, Lithuania Practical arrangements: There is a small tuition fee of 50 euros. The organizers will provide teaching materials, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses as well as lodging. The course is supported by the Research Council of Lithuania and Lithuanian University of Health Sciences. We are looking forward to welcoming you at the BNNI 2017 in Kaunas, Lithuania!

Sept. 1, 2017

Doctoral student position - Robot-assisted modeling of spatial navigation paradigms in biological organisms - DEADLINE EXTENDED

by samarasinghe＠ini.rub.de

Please note that the deadline for applications to the position below has been extended to *15.09.2017*. *Research **Position **at the Institute for Neural Compu**ta**ti**o**n * A position as *d**octoral student **in integrative **n**euroscience and **c**ognitive **s**cience *is available immediately in the group of Prof. Sen Cheng in the Institute for Neural Computation at the Ruhr University Bochum, Germany. The research will focus on robot-assisted modeling of spatial navigation paradigms in biological organisms. Robotic simulations, as well as, physical robots will be used to develop and evaluate the desired models. The position will be funded at 50% of the standard salary scale TV-L E13. It is initially limited to 1 year with the possibility of extension, depending on the availability of funding. Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (Python, C/C++, or Matlab) are mandatory. Candidates are further required to have a strong background in at least one of the following fields: robotics, computational neuroscience, or cognitive modeling. Experience with interdisciplinary research in integrative neuroscience and cognitive science and with collaborative research would be a further asset. The working language at the institute is English. To apply, please send a statement of your research interests, academic transcripts, and a complete CV in one PDF file to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> by *15**.09****.2017*. Please also request from at least two academic referees that they send letters of reference directly to the same email address. Further information may be available at https://www.ini.rub.de/the_institute/jobs/. The Ruhr University Bochum provides a dynamic research environment in neuroscience and cognitive science. The Institute for Neural Computation unifies various core competencies extending from experimental and theoretical neuroscience to machine learning and robotics. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Universitätstr. 150 D-44780 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe(a)ini.rub.de Hours: Monday 9-12 & 14-16; Friday 9-12 & 14-16; Wednesday 12 - 16

Sept. 1, 2017

Postdoc position: computational models of visual memory, Rust lab, UPenn

by Rust, Nicole C

A postdoctoral position focused on developing computational models of visual memory is available in the laboratory of Nicole Rust at the University of Pennsylvania. The lab is broadly interested in understanding the neural processing supporting massive-capacity, single-trial visual memories of images. This specific position involves developing classes of computational models that describe where and how visual memories are stored in the brain as well as how the percept of visual familiarity is signaled. Models include extensions of state-of-the-art descriptions of visual processing (e.g. deep neural networks) as well as more dynamic, mechanistic descriptions. To constrain these models, the researcher will interface with experimentalists in the lab who record and perturb neural signals in monkeys and tree shrews. Opportunities also exist to collaborate with the Simoncelli lab at NYU, the Yamins lab at Stanford, and with other members of the Penn Computational Neuroscience Initiative. Candidates should have a Ph.D. in Computational Neuroscience, Computer Science or a related field prior to starting. The ideal candidate has extensive experience in computational modeling as well as working with behavioral and/or neural data. To inquire about this position, please submit a CV and a brief statement of research interests to nrust(a)psych.upenn.edu<mailto:nrust@psych.upenn.edu>. Nicole Rust Associate Professor Department of Psychology University of Pennsylvania Philadelphia, PA http://www.sas.upenn.edu/psych/rust-lab/

Sept. 1, 2017

[EAIS 2018] Paper Submission deadline is on Saturday, 20th of January 2018 2359 UTC-12hr

by Teng Teck Hou

[Apologies for cross-postings] ################################################## CALL FOR PAPERS IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) 25-27 of May 2018, Island of Rhodes, Greece http://easyconferences.eu/eais2018/ ################################################## Contributions will be selected based upon their quality as evaluated by the reviewers. An online submission system for contributions will be made available on this webpage soon. Papers must be comprised of up to 8 pages and they will be published in the IEEE Explore All contributions have to be prepared according to the IEEE conference style guidelines. To see the Topics please visit: http://easyconferences.eu/eais2018/topics.html ################################################## The 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) will be held in The 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) will be held in the exotic island of Rhodes (Greece) which has a beautiful medieval town built by the crusaders and it is preserved as UNESCO monument. A main characteristic of Rhodes is its long ancient history with many ancient Greek sites. Set against the historic backdrop of Rhodes island is the elegant and pisturesque lowrise architecture of Aldemar Amilia Mare Village, an all-inclusive seaside resort. Newly refurbished luxury rooms with sea or garden views are the perfect choice for all holidaymakers, f rom singles to families. Dive into crystal clear swimming pools, try a wide range of watersports at the beach, enjoy the Spa Centre with its fully equipped fitness area and sample the cosmopolitan delights of the themed restaurants. ##############################Important Dates############################## * Paper Submission January 20, 2018 * Special Session Proposals 20 December, 2017 * Paper Decision Notification January 15, 2018 * Camera-Ready Submission February 15, 2018 * Authors registration To be announced * Conference May 25 - 27 2018 ########################################################################### ########################## At least three distinguished Keynote Speakers will be invited ########################## ##################### SPECIAL ISSUES ################################### Selected papers (from the list of the accepted and presented ones) will be considered for publication and inclusion in Special Issue of the EVOLVING SYSTEMS (EVOS) Springer Journal. At least one more Special Issue will be edited ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: * Basic Methologies Evolving Soft Computing Techniques Evolving Fuzzy Systems Evolving Rule-Based Classifiers Evolving Neuro-Fuzzy Systems Adaptive Evolving Neural Networks Adaptive Evolving Fuzzy Systems Online Genetic and Evolutionary Algorithms Data Stream Mining Incremental and Evolving Clustering Approaches Adaptive Control Adaptive Pattern Recognition Computational Intelligence in Control and Estimation Incremental and Evolving ML Classifiers Adaptive Statistical Techniques Evolving Decision Systems Big Data Advanced Concepts * Problems and Methodologies in Data Streams Stability, Robustness, Convergence in Evolving Systems Online Feature Selection and Dimension Reduction Online Active and Semi-supervised Learning Online Complexity Reduction Computational Aspects Interpretability Issues Incremental Adaptive Ensemble Methods Online Bagging and Boosting Self-monitoring Evolving Systems Human-Machine Interaction Issues Hybrid Modeling Transfer Learning Reservoir Computing Real-world Applications * EIS for On-Line Modeling, System Identification, and Control EIS for Time Series Prediction EIS for Data Stream Mining and Adaptive Knowledge Discovery EIS in Robotics, Intelligent Transport and Advanced Manufacturing EIS in Advanced Communications and Multi-Media Applications EIS in Bioinformatics and Medicine EIS in Online Quality Control and Fault Diagnosis EIS in Condition Monitoring Systems EIS in Adaptive Evolving Controller Design EIS in User Activities Recognition EIS in Huge Database and Web Mining EIS in Visual Inspection and Image Classification EIS in Image Processing EIS in Cloud Computing EIS in Multiple Sensor Networks EIS in Query Systems and Social Networks EIS in Alternative Statistical and Machine Learning Approaches ################################################################ ##########################Organizing Committee########################## * General co-Chairs Plamen Angelov, Lancaster University, UK Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece PC co-Chairs Edwin Lughofer Johannes, Kepler University Linz, Austria Lazaros Iliadis, Democritus University of Thrace Honorary co-Chairs Dimitar Filev, Ford Motor Company, USA Nikola Kasabov, Auckland University of Technology, New Zealand Special session co-Chairs Abdelhamid Bouchachia, University of Bournemouth, UK Jose Antonio Iglesias, Carlos III University of Madrid (Leganes, Spain) Organizing Chair Apostolos Papadopoulos, Aristotle University of Thessaloniki, Greece Local Organizing co-Chairs Constantinos Demertzis, Democritus University of Thrace, Greece Antonis Papaleonidas, Democritus University of Thrace, Greece Workshop co-chairs M. Sayed - Mouchaweich, Universite Lille, France Andre Paim Lemos, Univerity Minas Gerais, Brazil Publicity and Publication co-Chairs Teck-Hou, Teng Singapore Management University, Singapore Antonis Papaleonidas, Democritus University of Thrace, Greece Web Admin Kyriakos Georgiades, Easy Conferences, Cyprus * International Program Committe Plamen Angelov, Lancaster University, UK Rosangela Ballini, University of Campinas, Brazil Jorge Cassillas, University of Granada, Spain Dejan Dovzan, University of Ljubljana, Slovenia Nadine Gaertner, SAP, Germany Lazaros Iliadis, Democritus University of Thrace, Greece Nik Kasabov, Auckland University of Technology, New Zealand Spyros Likothanasis, University of Patras, Greece Daniel Furtado Leite, Federal University of Lavras, Brazil Andre Lemos, Federal University of Minas Gerais, Brazil Edwin Lughofer, Johannes Kepler University, Linz, Austria Yannis Manolopoulos, Aristotle University of Thessalonii, Greece Trevor Martin, University of Bristol, UK Seiichi Ozawa, Kobe University, Japan Witold Pedrycz, University of Alberta, Canada Radu-Emil Precup, University of Timisoara, Romania Olga Senyukova, Lomonosov Moscow State University, Moscow, Russia El Mustapha Mouaddib, Universite de Picardie Jules Verne, France Jus Kocijan, Jozef Stefan Institute, Ljubljana,Slovenia ####################################################################### #########################Sponsoring Organizations######################### * IEEE * Aristotle University of Thessaloniki, Greece * Democritus University of thrace, Greece ##########################################################################

Sept. 1, 2017

Penn Psych - Faculty Search

by Rust, Nicole C

Assistant Professor, Cognitive or Affective Science Department of Psychology, University of Pennsylvania The Department of Psychology at the University of Pennsylvania intends to make multiple appointments in the areas of Cognitive Science and Affective Science over the next several years. Our primary focus is at the junior, Assistant Professor level, but in exceptional circumstances a more senior hire may be considered. We are interested in candidates with research interests in the areas, broadly defined, of cognitive science (e.g., learning and memory, perception, attention, language, or decision making) or affective science (e.g., clinical or health psychology; social, moral, or political psychology; positive psychology; or the psychology of individual differences), and who use any number of approaches, including but not limited to computational, neuroscientific (behavioral, systems, or cognitive), or developmental. Interested candidates should submit materials online at http://facultysearches.provost.upenn.edu/postings/1121 and include a curriculum vitae, statements of research and teaching interests, and the names and contact information of three referees. Candidates will contribute to the teaching mission of the university with introductory courses such as Introduction to Psychology, Introduction to Brain and Behavior, Cognitive Psychology, or Abnormal Psychology, as well as advanced undergraduate or graduate courses in specific areas of interest. Referees will be contacted by the University with instructions on how to submit a recommendation letter to the website. Review of applications will begin on September 18, 2017 and continue until the position is filled. The Department of Psychology is strongly committed to Penn’s Action Plan for Faculty Diversity and Excellence and to creating a more diverse faculty (for more information, see http://www.upenn.edu/almanac/volumes/v58/n02/diversityplan.html) The University of Pennsylvania is an equal opportunity employer. Minorities, women, individuals with disabilities, and protected veterans are encouraged to apply. Nicole Rust, Ph.D. Associate Professor Department of Psychology University of Pennsylvania Philadelphia, PA 19104 http://www.sas.upenn.edu/psych/rust-lab/

Aug. 29, 2017

PhD positions at the Univ. of Leicester (for UK/EU candidates only)

by Quian Quiroga, Rodrigo (Prof.)

Fully Funded PhD Studentships (for UK/EU candidates only) Centre for Systems Neuroscience, University of Leicester, UK. www.le.ac.uk/csn The Centre for Systems Neuroscience at the University of Leicester, UK, offers up to 2, 3-Year Fully Funded (stipend plus fees) PhD positions for UK/EU candidates, to study single cell recordings in humans – performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga Nature Reviews Neuroscience 2012), which are involved in declarative memory functions. The successful candidate will contribute to performing recordings with patients in collaborating hospitals and the analysis of the data to investigate the role of these neurons in memory formation. Candidates should have very good quantitative skills (data processing, and programing in Matlab), a strong background in neuroscience and, ideally, good experience with neurophysiology recordings. They should be able to work both independently and as part of a research team within the Centre for System Neuroscience at Leicester and with our external collaborators. Informal enquiries are welcome and should be made to Valeria Zonato, Research Centre Manager, vz12(a)le.ac.uk or 0116 252 3249. Interested candidates should send their curriculum vitae and a brief description of their scientific interests to Valeria Zonato (vz12(a)le.ac.uk<mailto:vz12@le.ac.uk>). The closing date for the applications is Friday 15th September 2017.

Aug. 29, 2017

[jobs] Researcher in Cognitive Robotics

by Di Nuovo, Alessandro

Apologies for multiple postings. A fixed-term position is available at Sheffield Hallam University (UK), within Sheffield Robotics. The post is funded by the EPSRC project EP/P030033/1 - Number Understanding Modelling in Behavioural Embodied Robotic Systems (NUMBERS). Details of the post and the link for applying can be found here: http://www.jobs.ac.uk/job/BDR925/researcher-cognitive-robotics/ NUMBERS is a highly inter-disciplinary cutting-edge cognitive robotics research programme lead by Dr Alessandro Di Nuovo and developed in collaboration with Sheffield Robotics. The project sees the participation of Plymouth University and Stanford University (USA), and received the support of the NVIDIA Corporation (USA). It will utilise one of the most advanced child-like robotic platforms (the "iCub") to construct a novel artificial cognitive model of mathematical cognition by imitating human like learning approaches for developing number understanding. The researcher will contribute to the project by carrying out experiments with the iCub, including: Software development. Collecting and analysing data. Guaranteeing continuity of the robotic experiments. The researcher will also be an active member of the Sheffield Robotics team contributing to scientific publications and supporting exhibitions and demonstrations. Experience of working with the iCub robotic platform would be an advantage as well as the knowledge of deep learning software frameworks. This is an exciting opportunity to contribute to the development of the next generation of socially interactive robots capable of learning and mimicking advanced capabilities of human intelligence. Contact e-mail: a.dinuovo(a)shu.ac.uk

Aug. 29, 2017

[Extended Deadline-CFP] - HAI 2017 Workshop: Representation Learning for Human and Robot Cognition

by Amir Aly

CALL FOR PAPERS **Apologies for cross posting ** The full day workshop: "*Representation Learning for Human and Robot Cognition*" In conjunction with the *5th International Conference on Human-Agent Interaction* *- Bielefeld - Germany - October * *17th, 2017* *Webpage: **http://cognitive-mirroring.org/en/events/hai2017_workshop/* <http://cognitive-mirroring.org/en/events/hai2017_workshop/> *I. Aim and Scope *Creating intelligent and interactive robots has been subject to extensive research studies. They are rapidly moving to the center of human environment so that they collaborate with human users in different applications, which requires high-level cognitive functions so as to allow them to understand and learn from human behavior. To this end, an important challenge that attracts much attention in cognitive science and artificial intelligence, is the “Symbol Emergence” problem, which investigates the bottom-up development of symbols through social interaction. This research line employs representation learning based models for understanding language and action in a developmentally plausible manner so as to make robots able to behave appropriately on their own. This could open the door to robots to understand syntactic formalisms and semantic references of human speech, and to associate language knowledge to perceptual knowledge so as to successfully collaborate with human users in space. Another interesting approach to study representation learning is “Cognitive Mirroring”, which refers to artificial systems that could make cognitive processes observable, such as the models that could learn concepts of objects, actions, and/or emotions from humans through interaction. A key idea of this approach is that robots learn individual characteristics of human cognition rather than acquiring a general representation of cognition. In this way, the characteristics of human cognition become observable and can be measured as modifications in model parameters, which is difficult to verify through neuroscience studies only. In this workshop, we invite researchers in artificial intelligence, cognitive science, cognitive robotics, and neuroscience to share their knowledge and research findings on representation learning, and to engage in cutting-edge discussions with other experienced researchers so as to help promoting this research line in the Human-Agent Interaction (HAI) community. *II. Keynote Speakers * 1. *Beata Joanna Grzyb *– Radboud University – The Netherlands 2. *Thomas Hermann*– Bielefeld University – Germany 3. *Tetsuya Ogata *– Waseda University – Japan 4. *Erhan Oztop *– Ozyegin Universiy – Turkey 5. * Stefan Wermter *– University of Hamburg – Germany *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission <https://easychair.org/conferences/?conf=rlhrc2017>*. 2. Use the ACM SIGCHI format: *ACM SIGCHI Templates <http://www.sigchi.org/publications/chipubform>*. 3. Submitted papers should be limited to 2-4 pages maximum. The primary list of topics covers the following points (but not limited to): - Computational model for high-level cognitive capabilities - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Human-robot communication and collaboration based on machine learning - Learning supported by external trainers by demonstration and imitation - Bayesian modeling - Learning with hierarchical and deep architectures - Interactive reinforcement learning * IV. Important Dates * 1. Paper submission: *15-September-2017* 2. Notification of acceptance: *25-September-2017* 3. Camera-ready version: *5-**October-2017* 4. Workshop: *17-October-2017* *V. Organizers * 1. *Takato Horii *– Osaka University – Japan 2. *Amir Aly *– Ritsumeikan University – Japan 3. *Yukie Nagai *– National Institute of Information and Communications Technology – Japan 4. * Takayuki Nagai *– The University of Electro-Communications – Japan -- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

Aug. 28, 2017

Postdoc position in electrophysiology/neural coding at Columbia University

by Qi Wang

A postdoc position is available in the Laboratory for Neural Engineering and Control in the Department of Biomedical Engineering at Columbia University (http://neclab.bme.columbia.edu/) The project investigates the role of the locus coeruleus – norepinephrine (LC-NE) system in modulating neural coding, perception, and learning. The successful applicant should have a background in in-vivo single-unit recording and quantitative analytical methods. Experiences in behavioral training of rodents is a plus. We are looking for highly motivated researchers with a strong technical background, ideally with a PhD or equivalent in Biomedical Engineering, Neuroscience, Psychology, or a related discipline. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team. Start date is flexible. Salary will be commensurate to the candidate qualifications. Applicants should submit a CV, a brief description of research interests, and a list of three references. All application materials as well as any inquiries should be sent to qi.wang(a)columbia.edu.

Aug. 28, 2017

Bernstein 2017 Workshop: "Multiscale modeling and simulation"

by Salvador Dura

Dear All, We would like to bring your attention to the* "Multiscale modeling and simulation" workshop* at the *Bernstein Conference 2017, Sept 12-13, Göttingen, Germany.* *Website: *http://www.nncn.de/en/bernstein-conference/2017/ satellite-workshops/multiscale-modeling-and-simulation-dura-bernal-lytton *Short abstract:* Understanding brain function requires characterizing the *interactions occurring across many temporal and spatial scales*. Mechanistic multiscale modeling aims to organize and explore these interactions across these scales. Multiscale models can provide insights into how changes at the molecular and cellular levels affect dynamics at local networks and brain areas. At the highest levels, they allow us to connect neural activity to theories of behavior, memory and cognition. The recent introduction of large neuroscience projects in US and EU Brain Research through Advancing Innovative Neurotechnologies (BRAIN) and Human Brain Project (HBP) respectively provide an opportunity to rapidly gather new and more accurate data to incorporate into the multiscale models. This workshop will present some of the* latest multiscale modeling tools and approaches in neuroscience, as well as representative examples of datadriven multiscale neural simulations*. The workshop aims to encourage both computational and experimental neuroscientists to make use of multiscale modeling in their research. *Organizers: *Salvador Dura-Bernal and Bill Lytton (SUNY Downstate) *Speakers:* *Tue, Sept 12:* - Bill Lytton (SUNY Downstate) - Jean Pierre Changeux (Pasteur Institute) - Volker Steuber (University of Hertfordshire) - Robert McDougal (Yale University) - Salvador Dura-Bernal (SUNY Downstate) - Cliff C Kerr (University of Sydney) *Wed, Sept 13:* - Szabolcs Kali (Hungarian Academy of Science/HBP) - Marianne Bezaire (Boston University) - Daniel Durstewitz (ZI Mannheim) - Kael Dali (Allen Institute for Brain Science) We look forward to seeing you there! Best Salva -- Salvador Durá-Bernal, Ph.D. Research Assistant Professor State University of New York Downstate Medical Center

Aug. 27, 2017

PhD, Master and Postdoc positions in theoretical neuroscience at the MPI for Brain Research

by Tatjana Tchumatchenko

PhD, Master and Postdoc positions in theoretical neuroscience at the Max Planck Institute for Brain Research We are looking for undergraduate students interested in writing a Master or PhD thesis and also have open positions for Postdocs to join our group "Theory of neural dynamics" at the Max Planck Institute for Brain Research lead by Dr. Tatjana Tchumatchenko. Our group studies how networks of neurons encode and decode sensory stimuli and how these functions are related to computations that underlie cognitive functions and behavior. We develop models to address linear and non-linear properties of neuronal networks and have ongoing collaborations with experimental labs where we analyze in vitro as well as in vivo data and develop appropriate models to explain the observed phenomena. Successful applicants should have a strong background in a quantitative field such as physics, mathematics or computer science and should be interested in an interdisciplinary exchange with other disciplines such as biology or medicine. Life science majors interested in quantitative modeling work are also encouraged to apply, particularly if they would like to combine experiments and theory in their Master or Ph.D. thesis work. We are looking for candidates with strong English skills and prior programming experience. In order to make teamwork in our group enjoyable and fun, the ideal candidate should have a strong work ethic and have demonstrated consistent self-motivation skills. Female students are particularly encouraged to apply. Prospective students should apply by sending an email to theoryneuraldynamics(a)gmail.com which includes * a letter of motivation, * CV, * and a copy of the current academic transcripts To make your motivation letter easier to write for you and more informative for us, please check the list of questions to be answered in your motivation letter at http://www.tchumatchenko.de/Opportunities.html Looking forward to your applications! Tatjana Tchumatchenko

Aug. 27, 2017

Postdoctoral opportunity

by Timothy O'Leary

Post-doctoral position in theoretical neuroscience, University of Cambridge Description We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate in Theoretical and Computational Neuroscience to join the research group of Dr Timothy O’Leary in the Department of Engineering, University of Cambridge (http://www.olearylab.org/) The successful applicant will undertake exciting collaborative research projects in systems neuroscience, with the opportunity to work closely with experimental laboratories in Harvard Medical School, HHMI Janelia and the Weizmann Institute of Science. The post will therefore involve significant travel. A range of projects is available, covering themes of neural representations of behaviour, neuromodulation and regulatory control in the nervous system. The successful applicant will have, or be near to obtaining, a PhD in theoretical neuroscience, applied mathematics, control engineering, physics, or theoretical biology, and will have extensive research experience demonstrated by a strong publication record. A solid grounding in neuroscience is important. The position is initially for three years with possibility of extension, with a 6 month probation period. The appointment commences December 1, 2017but start date is flexible within reason. We offer a competitive salary in line with experience and we especially encourage applications from minorities and underrepresented groups. Full application details are available here: http://www.jobs.cam.ac.uk/job/14796/ Closing date: 2017-10-02 Employment start date: 2017-12-01 Contract length: 3 years Institution: University of Cambridge *Timothy O'Leary* Department of Engineering, University of Cambridge, United Kingdom Phone +441223746527 Email tso24(a)cam.ac.uk

Aug. 25, 2017

advertised postdoc position

by Matthew Chalk

Postdoc position in theoretical neuroscience, at the Vision Institute in Paris, France: Description: A postdoctoral position is available for a project with Matthew Chalk, at the Vision Institute (www.institut-vision.org/en/) within the University of Pierre and Marie Curie, in Paris, France. The project will involve investigating principles of neural coding in the retina. Specifically, the project will investigate how different coding objectives, such as optimising efficiency or encoding predictive information, can explain the diverse ways that neurons in the retina respond to visual stimulation. The postdoc will include both a theoretical and an experimental component. The theoretical part of the project will extend previous work by Chalk et al. to develop a general theory of optimal neural coding (Chalk et al. NIPS 2016, Chalk et al. bioArxiv 2016). The experimental part will involve running experiments to test this theory in the retina. The experimental part will be in close collaboration with members from the lab of Olivier Marre, who have developed techniques for recording from hundreds of retinal ganglion cells simultaneously (e.g. Marre et al. PLoS Comp. 2015). The Vision Institute is a stimulating environment for brain research. It brings together in a single building researchers, clinicians and industrial partners in order to discover, test and develop treatments and technological innovations for the benefit of visually impaired patients. The ideal candidate should have a PhD with a strong, quantitative background (ideally in fields such as machine learning and/or theoretical neuroscience). The position is funded for three years. Applications should include a CV, a statement of research interests (max 1 page), and two letters of recommendation. The earliest starting date will be 14/01/18. Electronic submissions in pdf-format are preferred and should be sent to Matthew Chalk (matthewjchalk(a)gmail.com <mailto:matthewjchalk@gmail.com>). Feel free to ask any informal questions about the position if you are interested.

Aug. 25, 2017

Fully funded PhD position on machine learning for neuroimaging data analysis

by Diego Sona

We are seeking candidates for a PhD position entitled “Computational Methods for Brain Connectivity Analysis”. The research will aim at developing novel approaches based on machine learning for the analysis of structural and functional brain connectivity from neuroimaging data (e.g., fMRI, rsMRI, DTI, MEG, EEG, etc.). The aim is to better understand the brain and characterize the neurological and neurodegenerative diseases. The successful candidate will have the opportunity to work in an interdisciplinary environment. The applicant should have a background in machine learning and pattern recognition methodologies with a keen interest in neuroscience. The PhD grant is jointly supported by Fondazione Bruno Kessler (FBK) and Istituto Italiano di Tecnologia (IIT). The research activity will take place at the Neuroinformatics Laboratory (NILab, https://nilab.fbk.eu/ <https://nilab.fbk.eu/>) and the Pattern Analysis and Computer Vision Laboratory (PAVIS, http://pavis.iit.it/ <http://pavis.iit.it/>). NILab is an interdisciplinary laboratory raised as joint initiative between the Centre for Information Technology of FBK and the Centre for Mind/Brain Sciences of University of Trento (CIMeC, http://www.cimec.unitn.it <http://www.cimec.unitn.it/>). Interested candidates must apply for the PhD grant following the instructions in the call published by Università degli studi di Trento (see the application webpage http://ict.unitn.it/application/ict_doctoral_school <http://ict.unitn.it/application/ict_doctoral_school>) referring to position A5. Deadline for the formal application is August 31, 2017, hrs. 04.00 PM (Italian time, GMT +2) Interested candidates are also invited to contact Paolo Avesani (avesani(a)fbk.eu <mailto:avesani@fbk.eu>) and Diego Sona (diego.sona(a)iit.it <mailto:diego.sona@iit.it>) by emailing their CV and a short statement of interest in this position. For further information on the position and the application process refers to the following links http://ict.unitn.it <http://ict.unitn.it/> http://ict.unitn.it/application/project_specific_grants <http://ict.unitn.it/application/project_specific_grants> Diego Sona --------------------------------------------------------- Pattern Analysis & Computer Vision (PAVIS) Istituto Italiano di Tecnologia (IIT) Via Morego 30, 16163, Genova, Italy Phone: +39 010 71781 819 E-mail: diego.sona(a)iit.it pavis.iit.it/people/diego-sona ---------------------------------------------------------

Aug. 23, 2017

Assistant Professor Neural Mechanisms of Cognition and Behavior, Emory University (Atlanta, USA)

by Liu, Robert C

Assistant Professor, Neural Mechanisms of Cognition and Behavior The Department of Psychology at Emory University invites applications for a tenure-track position at the level of assistant professor with an anticipated start date of August 1, 2018. We seek applicants to establish an independent, federally-funded program of research aimed at understanding mechanisms of cognition and behavior at biological and psychological levels with a goal of building on Emory's strengths in behavioral, cognitive, affective, social, computational, developmental, and/or comparative neuroscience. We also seek applicants with a strong commitment to undergraduate and graduate teaching. Laboratory space for small animals as well as research facilities for humans (including a research-dedicated 3T MRI scanner) are available. Applicants whose research uses cutting-edge techniques in small animals and bridges to studies with humans are particularly encouraged to apply. Ph.D. required. Candidates should submit applications at psychology.emory.edu. Please include a CV, a research statement, a teaching statement, two or three representative publications, and three letters of recommendation. Please also include a brief statement in your cover letter that addresses past activities and future plans to advance equity, inclusion, and diversity in your professional career. Review of applications will begin on November 1, 2017, and applications received up to 30 days after review begins will be given full consideration. Emory University (Atlanta, GA) is a diverse community that values multiple perspectives and is an Equal Opportunity/Affirmative Action/Disability/Veteran employer. Women, minorities, persons with disabilities and veterans are encouraged to apply. Robert C. Liu, PhD Associate Professor Department of Biology Emory University O. W. Rollins Research Center Rm 2131 1510 Clifton Rd NE Atlanta, GA 30322 USA Phone: +1 404-727-5274 Email: robert.liu(a)emory.edu<mailto:robert.liu@emory.edu> Lab Website<http://www.biology.emory.edu/research/Liu/html/index.php> ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

Aug. 23, 2017

Doctoral student position - Robot-assisted modeling of spatial navigation paradigms in biological organisms

by samarasinghe＠ini.rub.de

*Research **Position **at the Institute for Neural Compu**ta**ti**o**n * A position as *d**octoral student **in integrative **n**euroscience and **c**ognitive **s**cience *is available immediately in the group of Prof. Sen Cheng in the Institute for Neural Computation at the Ruhr University Bochum, Germany. The research will focus on robot-assisted modeling of spatial navigation paradigms in biological organisms. Robotic simulations, as well as, physical robots will be used to develop and evaluate the desired models. The position will be funded at 50% of the standard salary scale TV-L E13. It is initially limited to 1 year with the possibility of extension, depending on the availability of funding. Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (Python, C/C++, or Matlab) are mandatory. Candidates are further required to have a strong background in at least one of the following fields: robotics, computational neuroscience, or cognitive modeling. Experience with interdisciplinary research in integrative neuroscience and cognitive science and with collaborative research would be a further asset. The working language at the institute is English. To apply, please send a statement of your research interests, academic transcripts, and a complete CV in one PDF file to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> by 31.08.2017. Please also request from at least two academic referees that they send letters of reference directly to the same email address. Further information may be available at https://www.ini.rub.de/the_institute/jobs/. The Ruhr University Bochum provides a dynamic research environment in neuroscience and cognitive science. The Institute for Neural Computation unifies various core competencies extending from experimental and theoretical neuroscience to machine learning and robotics. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Universitätstr. 150 D-44780 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe(a)ini.rub.de Hours: Monday 9-12 & 14-16; Friday 9-12 & 14-16; Wednesday 12 - 16

Aug. 23, 2017

Memory GATE opens early for 2 theoretical PhD students at SISSA

by Alessandro Treves

Memory research: Ground-breaking, Applied, and Technological Exchanges is an EU-funded Innovative Training Network coordinated by Francesco Battaglia and including groups at the Radboud (Nijmegen), UCLondon, NTNU-Trondheim, INSERM & AMU (Marseille), Weizmann, Janssen Pharma and SISSA, which will host 15 PhD students on projects taking different approaches to hippocampal memory functions, starting in early 2018. The two theorists to be hosted at SISSA, however, have to be admitted to its Cognitive Neuroscience PhD, by attending the exam in Trieste on Sept 11-12, 2017, see http://www.sissa.it ----------- Deadline August 31st, 2017 --------------- Ideal candidates, who can be of any nationality but must not have spent much time in Italy in the last 3 years, enjoy analytical, mathematical and computational excursions when seeking fundamental network understanding. Those admitted will be awarded a SISSA fellowship for the first few months, and later a much higher, EU-set M-GATE fellowship once the ITN operates. Feel free to inquire about limbo (then please send a CV) to ale(a)sissa.it -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602

Aug. 23, 2017

Neuromodulation of Neural Microcircuits NM2 Conference 2017

by Srikanth Ramaswamy

We are delighted to announce the upcoming Neuromodulation of Neural Microcircuits (<https://nm2.epfl.ch/>NM2) Conference 2017<https://nm2.epfl.ch> (https://nm2.epfl.ch/) The NM2 Conference will be held at the EPFL, Lausanne, Switzerland on the 18th and 19th of Sep. 2017 and at the Campus Biotech in Geneva, Switzerland on the 20th of Sep. 2017. Neuromodulators dynamically reconfigure neural microcircuits and shape brain states by controlling the function of neurons and glia, dendrites, and synapses. NM2 will bring together world-leading experts to: • Identify the state-of-the-art mechanisms of the neuromodulation of neural microcircuits • Illuminate various strategies enabling the measurement of neuromodulatory states in brain health and disease • Integrate knowledge to build a unifying view of the neuromodulation of different brain regions • Inform and attract new talent to drive forward neuromodulation research • Inspire future directions that will transform our understanding of the neuromodulation of brain function and dysfunction and therapeutic intervention NM2 has an exciting program<https://nm2.epfl.ch/page-145616-en.html> with a stimulating lineup of speakers<https://nm2.epfl.ch/page-145624-en.html>! Please mark your calendars to participate in shaping the future course of neuromodulatory research! Registration<https://nm2.epfl.ch/page-145625-en.html> includes coffee breaks, lunch, refreshments and poster sessions. PhD. students and postdocs are particularly encouraged to submit poster abstracts<https://nm2.epfl.ch/page-146294-en.html>. Some abstracts will be selected for flash talks. Early bird registration is open until August 21st, 2017. We look forward to welcoming you at NM2 in beautiful Switzerland! Best regards from the scientific committee of NM2, Srikanth Ramaswamy Henry Markram Mriganka Sur Anita Disney Menahem Segal Michael Hasselmo Seung-Hee Lee Alexander Thiele Amy Arnsten

Aug. 22, 2017

Postdoctoral Fellowship: Enhancing Real-World Memory

by Christopher Honey

POSTDOCTORAL FELLOW: ENHANCING REAL-WORLD MEMORY A fully-funded postdoctoral position is available in Dr. Christopher Honey's lab in the Department of Psychological and Brain Sciences at Johns Hopkins University (www.honeylab.org) Working with the Barense Lab at the University of Toronto, our team is developing a memory prosthetic device which enhances memory for everyday events. This postdoctoral research would lead investigations into how memory can be optimized by grouping, timing and framing of replay events. The ideal candidate would be conversant in both neuropsychological theory of memory as well as the computational analysis of real-world audiovisual data. Johns Hopkins is home to a large and vibrant community of neuroscience researchers, and features strong connections between psychology, systems and cognitive neuroscience, biomedical engineering and computer science. Postdoctoral fellows will have access to the MARCC computing cluster; a top-notch neuroimaging center, including 3T and 7T scanners; new TMS and EEG facilities are housed in the PBS department; human intracranial experiments are possible via neurology collaborators in Baltimore and Toronto. The targeted start date for this position is October 2017. The initial appointment is for one year, with the opportunity for renewal thereafter. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University's goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant. QUALIFICATIONS Candidates should have a PhD in a relevant field (e.g., psychology, cognitive science, neuroscience, physics, mathematics, computer science) and a record of published work related to memory and/or wearable devices. Strong programming skills are required. APPLICATION INSTRUCTIONS To apply, please email chris.honey(a)jhu.edu, providing: a current CV, a brief summary of research accomplishments and plans; two example publications or computational projects; contact information for three references.

Aug. 22, 2017