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Postdoctoral and doctoral studies in the neuroscience of spatial motion estimation and motor planning

by Andrea Green

POSTDOCTORAL AND DOCTORAL STUDIES IN THE NEUROSCIENCE OF SPATIAL MOTION ESTIMATION AND MOTOR PLANNING Departement de neurosciences, Universite de Montreal Applications are invited for postdoctoral and doctoral studies in systems neuroscience in the laboratory of Dr. Andrea Green. Successful applicants will join a multidisciplinary research group studying how the brain integrates multisensory cues to create estimates of our spatial motion and how such estimates are used in motor planning and control. Research in our group involves computational models of the nervous system, behavioral and neural recording experiments in non-human primates as well as human behavioral studies. Successful applicants will investigate the computation of spatial motion estimates and/or their contribution to voluntary reaching through neural recordings within brainstem-cerebellar circuits or motor cortical regions of non-human primates. All students with a strong background in biological sciences, engineering, mathematics, computer science, physics or psychology and an interest in system-level study of the brain are encouraged to apply. However, prior experience in neurophysiology and/or computational modeling of neural systems is highly desirable. Depending on the applicant's qualifications and interests, they will help to design and conduct behavioral and neurophysiological experiments, analyze data, develop theoretical models of neural systems, prepare manuscripts for publication, and participate in international conferences. For further information, please contact Dr. Andrea Green (andrea.green(a)umontreal.ca) Applicants are asked to send a curriculum vita, copies of academic transcripts, a statement of research interests and the names and contact information for two references, to: Dr. Andrea Green Departement de neurosciences, Universite de Montréal C.P. 6128 Succursale Centre-ville Montreal, QC H3C 3J7, CANADA Tel: 514-343-6111 x3301 Email: andrea.green(a)umontreal.ca Applications will be accepted until the positions are filled.

June 15, 2018

Professorship in Artificial Intelligence

by Steuber, Volker

Professor of Artificial Intelligence University of Hertfordshire, UK School of Computer Science, College Lane Campus, Hatfield Salary £58,293 to £64,397 pa dependent on skills and experience FTE: Full time position working 37 hours per week (1.0FTE) Duration of Contract: Permanent position Closing date: 3 September 2018 Applications are invited for an exceptionally well qualified Professor of Artificial Intelligence of international standing who shares our commitment to research-informed teaching, embraces the research impact agenda, and values collegiality. Applicants will strengthen existing activity within the School and develop it further, enhancing the research strengths and external reputation of the School of Computer Science and contributing significantly to its performance in future research assessments and collaborations with public and commercial partners. The successful applicant will connect to and complement the research conducted by the Adaptive Systems Research Group within the Centre for Computer Science and Informatics Research. The School hosts the University of Hertfordshire Robot House, a facility ubiquitously equipped with low-cost sensors providing a realistic environment for experiments with robotics in a smart home; a fully-fledged RoboCup lab for development of humanoid robots participating in international competitions, and a large variety of different robotic platforms, including iCub and Baxter. We encourage applications from researchers across a wide spectrum of AI, and particularly encourage applications from researchers working on emerging topics in AI. Possible fields include, but are not limited to: • Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms • Robotics: embodied and/or cognitive robotics, HRI, robot safety, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics • Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation • Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization • Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), modern topics in games and AI • AI and applications: financial modelling, AI and biology/physics/cognitive sciences • Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life As well as providing research supervision at PhD and MSc level, the School of Computer Science offers modules in Artificial Intelligence, machine learning, neural and evolutionary computing, as well as Artificial Life on the BSc and MSc programmes. Applicants will be committed to a strong research and research-informed teaching agenda, and will actively contribute to increase research impact of the School, in the enthusiastic, welcoming and collegiate environment of the school. Applicants must hold a PhD (or equivalent) in a relevant subject, possess excellent communication skills in English, an internationally excellent research record and reputation, including publications of the highest quality suitable for submission to the REF (UK Research Excellence Framework). Applicants are expected to show evidence of experience and success in research/commercial income generation, engagement with the research impact agenda, engagement with key stakeholders in the relevant Artificial Intelligence community and management and leadership ability. The professor will have opportunity to contribute actively to interdisciplinary research projects at the school and university level. Applications must be made online https://www.herts.ac.uk/contact-us/jobs-and-vacancies/academic-vacancies?, reference 016194?. Informal enquiries may be addressed to Dr Volker Steuber (Associate Dean Research, v.steuber(a)herts.ac.uk) or Professor William Clocksin (Dean of School, w.clocksin(a)herts.ac.uk) Please note that applications sent directly by email will not be accepted.

June 15, 2018

Tenure-track position at Tufts University

by John Rinzel

Dear computational neuroscience list, The Department of Psychology at Tufts University is seeking applicants at the assistant professor level for a tenure-track position in computational clinical neuroscience to begin September 1, 2019. Further information is here: https://apply.interfolio.com/51438 Inquiries should be emailed to Department Manager Jessica Storozuk ( Jessica.Storozuk(a)tufts.edu) Regards, Ani Patel Aniruddh D. Patel Professor, Dept. of Psychology, Tufts University Senior Fellow, Canadian Institute for Advanced Research (CIFAR) Azrieli Program in Brain, Mind, & Consciousness http://ase.tufts.edu/psychology/people/patel/

June 15, 2018

[CFP] IROS-2018 Workshop: Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens

by Amir Aly

CALL FOR PAPERS **Apologies for cross posting ** We are pleased to call for papers for the IROS-2018 workshop: "*Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens*" In conjunction with the *IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)** - Madrid - Spain - October * *5th, 2018* *Webpage: **http://intelligent-social-robots-ws.com/* <http://intelligent-social-robots-ws.com/> *I. Aim and Scope *Robots that cook creatively, clean up our rooms dutifully, entertain our guests wittily and keep us company loyally. Robots that assist human users in their daily chores and provide support in times of need. Researchers around the world have envisioned such robot companions for a long time. Thanks to numerous innovations in sensor technology and software development, robots are now increasingly able to plan complex tasks in unknown environments, learn from experience and adapt to changes in the environment. The greatest challenges in robotics now lie in the development of robot skills and high-level AI-based functionalities that enable robots to work effectively in close collaboration with humans. Aside from the numerous technical challenges, which must be overcome before this vision can become a reality, multi-disciplinary research efforts are also invested into the social engineering of robots. In order to engineer “smart” robots that we accept, trust and welcome into our homes, it is paramount that we identify and investigate the factors that affect social interactions between humans and robots. For this purpose, computer scientists, AI researchers, engineers and psychologists tackle important questions that will determine whether robots will be perceived as helpful and reliable companions or as irritating nuisances. How should robots look, behave and communicate with us? What are our expectations of robot behavior in a social context? How can robots learn using the capabilities of their environments to achieve tasks and to address the needs of their human co-inhabitants? What kind of robot intelligence is required for what kind of tasks? In this workshop, participants will discuss with seasoned experts and young researchers what defines social and artificial intelligence for “smart” robots and how modern technological advances can equip robots with such intelligence. As such, this workshop aims to shed light on the intersection between cognitive science, artificial intelligence, and robotics research both from the theoretical and technical perspectives. Recent advances and possible avenues for future research in the field of “smart” robotics are principal topics of discussion during the workshop. ** *This workshop is endorsed by the IEEE Technical Committees*: *Human-Robot Interaction and Coordination, Cognitive Robotics, and Robot Learning*. *II. Keynote Speakers * 1. * Angelo Cangelosi *– University of Manchester/Plymouth – UK 2. *Yiannis Aloimonos *– University of Maryland – USA 3. * Selma Sabanovic *– Indiana University – USA 4. *Michael Beetz* – University of Bremen – Germany 5. *Matthias Scheutz *– Tufts University – USA *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission <https://easychair.org/account/signin.cgi?key=72898427.c11B4hAVw0ZMhuaQ>* . 2. Use the IEEE style (two-column format – US letter): *IEEE Templates <https://www.ieee.org/conferences/publishing/templates.html>*. 3. Submitted papers should be limited to 2-6 pages maximum. The primary list of topics covers the following points (but not limited to): - Multimodal human robot interaction - Cognitive modeling of human behavior - Cognitive architectures and strategies for intelligent interaction with the environment - AI and machine learning approaches applied to human-robot-environment interaction - Cloud robotics and ubiquitous computing - Ambient assisted living - Human intention recognition and prediction - Robot acceptance - Social engineering - Language learning, embodiment, and social intelligence - Computational modeling for high-level human cognitive functions - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Language and action development - Learning, reasoning, and adaptation in collaborative human-robot tasks - Affordance learning - Learning by demonstration and imitation - Language and grammar induction in robots * IV. Important Dates * 1. Paper submission: *20-August-2018 * 2. Notification of acceptance: *30-August-2018* 3. Camera-ready version:* 7-September-2018 * 4. Workshop: *5-October-2018* *V. Organizers * 1. *Amir Aly *– Ritsumeikan University – Japan 2. *Sascha Griffiths *– Hamburg University – Germany 3. * Verena Nitsch *– Bundeswehr University – Germany 4. *Katerina Pastra* – Cognitive Systems Research Institute – Greece 5. *Tadahiro Taniguchi* – Ritsumeikan University – Japan -------------------- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

June 15, 2018

Call for Applications: Symposium and Summer School on the Logistics of Neuronal Function

by Jochen Triesch

We invite applications from PhD students and post-docs to participate in a two-week summer course on the Logistics of Neuronal Function in Frankfurt am Main, Germany, from August 28 to September 7. Neurons face a variety of logistics challenges. They need to organize the production, transport, storage, and recycling of various molecules such as neurotransmitters, mRNA, and proteins to fill their extensive dendritic and axonal arbors. For example, most proteins have turnover rates of several days, which implies that neurons must organize the production and transport of vast numbers of proteins to maintain their structure and function. Due to their large size compared to other cells of the body, these problems are particularly severe for neurons. It is likely that evolution has driven neurons to find robust and efficient solutions to these challenges. So how do they organize production, transport, delivery, storage, and recycling processes and how are logistic failures related to nervous system disorders? This first workshop and summer school on the logistics of neuronal function bring together leading experimentalists, theoreticians, and method developers to exchange ideas on these fundamental questions. Organizers: Jochen Triesch, Frankfurt Institute for Advanced Studies Erin Schuman, MPI Brain Research, Frankfurt Tatjana Tchumatchenko, MPI Brain Research, Frankfurt Christian Tetzlaff, Georg-August University, Göttingen Confirmed Speakers of the Giersch International Symposium (August 28 - September 1): Maarten Altelaar, Utrecht, Netherlands Peter W. Baas, Drexel U., USA Upinder S. Bhalla, TIFR, India Long Cai, Caltech, USA Daniel Choquet, Bordeaux, France Guillame Drion, Liege, Belgium Seth Grant, University of Edinburgh, Scotland Kristian Franze, U. of Cambridge, UK Lukas Kapitein, Utrecht, Netherlands Ken Kosik, UC Santa Barbara, USA Timothy O’Leary, Cambridge University, UK William W. Lytton, SUNY Downstate, USA Jeremy Niven, U. of Sussex, UK Marianne Renner, Institut du Fer a Moulin, France Erik De Schutter, OIST, Japan Antoine Triller, École Normale Superièure, France Noam Ziv, Technion, Israel Confirmed Giersch Summer School Lecturers (September 3 - 7): Eric Hosy, U Bordeaux, France Timothy O’Leary, Cambridge University, UK William W. Lytton, SUNY Downstate, USA Marianne Renner, Institut du Fer a Moulin, France Christian Tetzlaff, U. Göttingen, Germany Jochen Triesch, FIAS, Germany Special Public Talk by: Nobel Laureate Edvard Moser The third "Giersch International Symposium", will take place at the Frankfurt Institute for Advanced Studies. The conference series, funded by STIFTUNG GIERSCH gives young scientists the opportunity to learn from well known, exceptional researchers and to expand their networks. Accommodation and meals are provided free of charge. To apply visit: https://indico.fias.uni-frankfurt.de/event/11/overview and see the instructions there. Required materials include: CV, letter of recommendation from supervisor, poster abstract, and short text specifying the reason for participation. Application Deadline: June 30 Contact: gis2018(a)fias.uni-frankfurt.de -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

June 14, 2018

Bernstein Conference 2018 in Berlin: Registration is open

by Alexandra Stein

BERNSTEIN CONFERENCE 2018 in Berlin Registration is open! Please register here: www.bernstein-network.de/en/bernstein-conference/2018/registration<http://www.bernstein-network.de/en/bernstein-conference/2018/registration> Early registration deadline: July 19, 2018 ABSTRACT SUBMISSION: For the details on abstract submission please visit: www.bernstein-network.de/de/bernstein-conference/2018/abstracts<http://www.bernstein-network.de/de/bernstein-conference/2018/abstracts> Deadline for abstracts aimed as contributed talks and posters: June 21, 2018 Deadline for abstracts aimed as posters only: July 17, 2018 **************************************************************************** Satellite Workshops: www.bernstein-network.de/en/bernstein-conference/2018/satellite-workshops<http://www.bernstein-network.de/en/bernstein-conference/2018/satellite-work…> Main Conference: www.bernstein-network.de/en/bernstein-conference/2018<http://www.bernstein-network.de/en/bernstein-conference/2018> PhD Symposium: www.bernstein-network.de/en/bernstein-conference/2018/phd-symposium<http://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<http://www.bernstein-conference.de> CONFERENCE DATE AND VENUE: Satellite Workshops: September 25-26, 2018 Venue: Technische Universität Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (10 min. walk to Bernstein Main Conference venue) Main Conference: September 26-28, 2018 Venue: Technische Universität 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, Philippstraße 13, Haus 6, 10115 Berlin NEW THIS YEAR: Postdoc Meeting: September 25, start 7:00 pm Venue: Technische Universität Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (in the same building as the Satellite Workshops) This event is an informal get-together for post-docs. It is an opportunity to get to know each other, foster collaborations, exchange experiences and ideas. No preparation required, but if you have an idea or a particular topic you want to discuss with your peers, bring it along. Drinks and snacks will be provided. PhD Social Event: September 25, start 8:00 pm Venue: depends on the number of participants Warm-up for PhD Symposium ACCOMMODATION AND HOTEL RESERVATION: We strongly recommend early room booking! The number of available accommodation is limited! We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Website (www.bernstein-network.de/en/bernstein-conference/2018/hotels<http://www.bernstein-network.de/en/bernstein-conference/2018/hotels>). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). 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 BERNSTEIN CONFERENCE 2018 in Berlin Registration is open! Please register here: www.bernstein-network.de/en/bernstein-conference/2018/registration<http://www.bernstein-network.de/en/bernstein-conference/2018/registration> Early registration deadline: July 19, 2018 ABSTRACT SUBMISSION: For the details on abstract submission please visit: www.bernstein-network.de/de/bernstein-conference/2018/abstracts<http://www.bernstein-network.de/de/bernstein-conference/2018/abstracts> Deadline for abstracts aimed as contributed talks and posters: June 21, 2018 Deadline for abstracts aimed as posters only: July 17, 2018 **************************************************************************** Satellite Workshops: www.bernstein-network.de/en/bernstein-conference/2018/satellite-workshops<http://www.bernstein-network.de/en/bernstein-conference/2018/satellite-work…> Main Conference: www.bernstein-network.de/en/bernstein-conference/2018<http://www.bernstein-network.de/en/bernstein-conference/2018> PhD Symposium: www.bernstein-network.de/en/bernstein-conference/2018/phd-symposium<http://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<http://www.bernstein-conference.de> CONFERENCE DATE AND VENUE: Satellite Workshops: September 25-26, 2018 Venue: Technische Universität Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (10 min. walk to Bernstein Main Conference venue) Main Conference: September 26-28, 2018 Venue: Technische Universität 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, Philippstraße 13, Haus 6, 10115 Berlin NEW THIS YEAR: Postdoc Meeting: September 25, start 7:00 pm Venue: Technische Universität Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (in the same building as the Satellite Workshops) This event is an informal get-together for post-docs. It is an opportunity to get to know each other, foster collaborations, exchange experiences and ideas. No preparation required, but if you have an idea or a particular topic you want to discuss with your peers, bring it along. Drinks and snacks will be provided. PhD Social Event: September 25, start 8:00 pm Venue: depends on the number of participants Warm-up for PhD Symposium ACCOMMODATION AND HOTEL RESERVATION: We strongly recommend early room booking! The number of available accommodation is limited! We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Website (www.bernstein-network.de/en/bernstein-conference/2018/hotels<http://www.bernstein-network.de/en/bernstein-conference/2018/hotels>). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). 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 Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9583 mobile: (+49) 0151 67114645 mail: a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de> web: www.bernstein-network.de<http://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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

June 14, 2018

Postdoc in systems or computational neuroscience at Brandeis (Boston Area), ,

by Paul Miller

Postdoc in systems or computational neuroscience at Brandeis (Boston Area) The Miller and Katz labs are looking for a postdoctoral researcher with expertise in two or more of the following areas: electrophysiology, optogenetics, animal behavior, data analysis, and/or computational modeling. The postdoc will work on a collaborative project, which is funded by the BRAIN initiative. The project’s goal is to uncover the dynamics and neural circuitry underlying the ongoing consumption decisions that occur when an animal is choosing between different tastes or olfactory stimuli. The ideal candidate will be highly motivated, bring relevant skills based on past experience, be willing and able to develop new project-related skills, and be good at communicating with others in both experimental and computational labs. Any interested candidate should contact Paul Miller at pmiller(a)brandeis.edu <mailto:pmiller@brandeis.edu>, indicating areas of expertise and which areas of the project (in particular experiment versus modeling) are of greatest interest. A C.V. and the names and contact details of three faculty willing to provide recommendations should accompany the application. The position is available as of now and is open until a suitably qualified candidate is appointed. The appointee will work in either the Katz Lab or Miller Lab at Brandeis University in Waltham MA (in the Greater Boston Metro area), a liberal arts college with a very strong research community, particularly in the life sciences. Salary will be on the NIH scale (experience-dependent, starting at $48 432). Brandeis University has a strong institutional commitment to the achievement of excellence and diversity.Women and underrepresented minority candidates are encouraged to apply.Brandeis University is an affirmative action/equal opportunity employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

June 13, 2018

3rd International MOBI Conference

by Daniel Ferris

11 - 14 JULY, 2018 3RD INTERNATIONAL MOBILE BRAIN/BODY IMAGING CONFERENCE http://mobi2018.bpn.tu-berlin.de/ Berlin, Germany ______ Speakers Diane Damiano Chief of Functional & Applied Biomechanics NIH Arthur Kramer Professor of Psychology & Engineering, Northeastern University Scott Makeig Director Swartz Center for Computational Neuroscience Klaus Gramann Chair Biological Psychology and Neuroergonomics, Technical University Berlin Dan Ferris Robert W. Adenbaum Professor of Engineering Innovation, University of Florida Juliet King Director Art Therapy, Indiana University School of Medicine Stefan Debener Chair of Neuropsychology, University of Oldenburg John Foxe Killian J. and Caroline F. Schmitt Chair in Neuroscience, University of Rochester Medical center Helen J. Huang Professor, University of Central Florida Jose Luis Contreras-Vidal Hugh Roy and Lillie Cranz Cullen Distinguished Professor, University of Houston Thorsten Zander CEO, Zander Laboratories B.V., Amsterdam, The Netehrlands Peter Koenig Chair Neurobiopsychology, University of Osnabrueck Girija Kaimal Professor Creative Arts Therapies, Drexel University Tzyy-Ping Jung Co-Director Center for Advanced Neurological Engineering, UCSD Hirokazu Tanaka Professor School of Information Science, Japan Advanced Institute of Science and Technology Paola Pinti Research Associate Dept. of Medical Physics and Biomedical Engineering, University College London Edmund Wascher Chair of Ergonomics, Leibnitz Research Center for Working Environments and Human Factors Janna Protzak Postdoctoral Researcher, Technische Universitaet Berlin Tim Mullen CEO Qusp Hasan Ayaz Professor School of Biomedical Engineering, Science and Health Systems, Drexel University Julia Kline Senior Researcher Fitbit, San Francisco Guy Cheron Director Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Eduardo Macagno Professor Biological Sciences, University of California San Diego Tal Shafir Research Fellow, The Emili Sagol Creative Arts Therapies Research Center, University of Haifa Guido Orgs Lecturer, Department of Psychology, Goldsmiths, University of London Grainne McLoughlin Associate Professor, Cognitive Neuroscience, King’s College London Chin-Teng Lin Director, Computational Intelligence and Brain Computer Interfaces, University of Technology Sydney Martin Seeber Research Scientist, Functional Brain Mapping Lab, University of Geneva Stephanie Scott Researcher, Brain-Computer Interface Laboratory, Colorado State University Lewis Chuang Group leader, Max Planck Institute for Biological Cybernetics Christer Ahlström Researcher, The Swedish National Road and Transport Research Institute Sha Xin Wei Director School of Arts, Media + Engineering, Arizona State University Pierfilippo De Sanctis Professor Albert Einstein College New York Conny Kranczioch Research Scientist, Department of Psychology, University Oldenburg Simon Ladouce Impact Fellow, Department of Psychology, University of Stirling Angus Hunter Professor, Health and Sport Science, University of Stirling Hanna Poikonen Faculty of Medicine, University of Helsinki John Iversen Research Scientist, University of California San Diego Agnieszka Wykowska Social Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia, Genua Elsa Kirchner Robotics Lab, University of Bremen Andreas Mierau Exercise & Sport Science, LUNEX International University of Health, Luxembourg Nadja Schott Professor, Institute of Sport and Exercise Sciences -- Daniel P. Ferris, Ph.D. Editor-In-Chief, IEEE-TNSRE editortnsre(a)gmail.com

June 13, 2018

PhD position in neuromorphic engineering - Toulouse, France

by Timothée Masquelier

Beating Roger Federer: Modeling visual learning and expertise through a bioinspired neural network embedded in an electronic device Goal: PhD grant. When: starting from September 2018 (date may be flexible to some extent) Topic: How do expert tennis players, like Roger Federer for example, predict if a ball will bounce in or out the field to decide if it should be played or not? After thousands of trajectory presentations, best champions have developed extraordinary skills in such a task, but little is known on how the visual system turns selective to spatiotemporal properties of the visual stimulus (e.g., 3D position, velocity and acceleration) and learns how to make an efficient use of it. The goal of the project is to build an embedded system – based on FPGA circuits and ARM processor – an artificial neural network which would replicate – and perhaps beat – the visual and anticipatory performances of these expert players. To achieve this goal successfully, we will develop a bio-inspired neural network, based on some of the key properties of human vision: the Smart NeuroCam (GST company) will be used to reproduce the retina functioning. It triggers its message under the form of spikes, in an asynchronous way (without any concept of frame per second), responding to spatial or temporal changes in the pattern of illumination. Several kinds of pre-processing filters can be implemented in VHDL language directly in the FPGA circuits, and the output is then sent to a neural network. The artificial network will learn to use this message, applying a simple learning rule, the Spike-Timing-Dependent Plasticity (STDP). This rule allows each neuron to become selective to a particular property of the stimulus, completely autonomously and with no supervision. Several layers will be built to allow perceiving more and more complex properties of the visual scene. Once the network will be established, its performances will be assessed in different conditions of learning and compared to those of the best tennis players. The project is funded by a French National Research Agency (ANR), involving two sites and several researchers: − Robin Baurès, Benoit Cottereau, Timothée Masquelier and Simon Thorpe, CerCo, Toulouse. − Michel Paindavoine, GST, Dijon. Where: The candidate will be based at CerCo, Toulouse (France), and will make the interface with the two sites, with regular trips. The computational neuroscience part will be done at Toulouse, and electronic part at Dijon. Tasks: − Matlab (or Python) based simulations of numerical filters. These filters will be applied to the image processing from which spikes are generated and then sent to feed the neural network and STDP learning mechanism. − VHDL coding to implement these numerical filters into the FPGA circuits of the cameras − C/C++ coding of the neural network and STDP mechanism that should work on an embedded ARM processor system − Experimental tests that will allow evaluating the performance of the whole system, from spikes generation to visual properties learning of the embedded system, to predict tennis ball’s trajectories Required skills: − Strong knowledge on electronic, and openness to computational neurosciences − Knowledge in signal-image processing, and artificial neural network − Interest for multidisciplinary research − Ability to turn smoothly autonomous, once the road has been set − Ability to be at the interface of two scientific fields and two working areas − Programming with Matlab and/or Python for simulating the neural network − Programming in VHDL language for FPGA circuits − Programming in C/C++ language for porting the algorithms on ARM microprocessors − French is not a requirement if fluent in English, but willingness to learn would be beneficial Citizenship Eligibility: For security / defense reasons, an evaluation will be made of the candidates before any possible acceptation. Relevant publications for the project: − Masquelier, T., Guyonneau, R. & Thorpe S.J. (2009). Competitive STDP-Based Spike Pattern Learning. Neural Comput, 21(5),1259-1276. − Masquelier, T. & Thorpe, S.J. (2007). Unsupervised learning of visual features through spike timing dependent plasticity. PLoS Comput Biol, 3(2):e31. − Cottereau, B.R., McKee, S.P. & Norcia, A.M. (2014). Dynamics and cortical distribution of neural responses to 2D and 3D motion in human. Journal of Neurophysiology 111(3), 533-543. − SmartNeuroCam de GST : https://gsensing.eu/fr/category/sections/products Contact: Robin Baurès, PhD Associate Professor CerCo, Université Toulouse 3, CNRS CHU Purpan, Pavillon Baudot 31059 Toulouse Cedex 9 – France Office phone: 0033 (0)5 62 74 62 15 Email : robin.baures(a)cnrs.fr Pr Michel Paindavoine GlobalSensing Technologies 14, rue Pierre de Coubertin 21000 Dijon email : michel.paindavoine(a)gsensing.eu -- Timothée Masquelier - timothee.masquelier(a)cnrs.fr - http://cerco.ups-tlse.fr/~masquelier/

June 12, 2018

POSTDOCTORAL POSITION AT THE UNIVERSITY OF ROCHESTER

by Tatiana Pasternak

POSTDOCTORAL POSITION IN THE NEUROSCIENCE OF PERCEPTUAL DECISIONS Postdoctoral position to study cortical circuitry underlying memory-guided perceptual decisions is available immediately in the laboratory of Dr. Tatiana Pasternak. Experimental approaches include extracellular multi-electrode recordings and inactivation of spiking and LFP activity from prefrontal and extrastriate visual cortical regions of non-human primates during complex behavioral tasks. An important component of the work is a collaboration involving computational modeling aimed at mechanisms underlying maintenance and utilization of visual information in decision-making. Preference will be given to candidates with strong quantitative background with experience in the analysis of physiological data and extracellular recordings. Applicants with strong background in related disciplines of systems neuroscience and/or computer science & engineering are welcome to apply. Experience with MATLAB/Python programming and proficient knowledge of the English language are required. The University of Rochester offers a stimulating research environment and excellent opportunities for interactions and training in cognitive neuroscience and visual science. Interested applicants should send CV and names/contact information of three references to Dr. Pasternak. Please include a cover letter detailing your current research activities, expertise and the reasons for your interest in this position. **************************************** Tatiana Pasternak, Ph.D. Professor Del Monte Institute for Neuroscience Departments of Neuroscience, Brain & Cognitive Science, Biomedical Engineering, and Center for Visual Science University of Rochester https://www.urmc.rochester.edu/labs/pasternak.aspx <https://www.urmc.rochester.edu/labs/pasternak.aspx>

June 11, 2018

IBRO Simons Computational Neuroscience Imbizo 2019 - call for applications

by Antrobus, Alexander

The IBRO-Simons computational neuroscience imbizo is a summer school in computational neuroscience and machine learning, hosted each January in Cape Town, South Africa. The event is generously sponsored by the International Brain Research Organisation (IBRO) and the Simons Foundation (Simons). "Imbizo" is an isiXhosa word, meaning "A gathering to share knowledge". The aim of the isiCNI is exactly this: to create an environment in which young African and international students can explore computational neuroscience together, forming strong friendships in the process. Three weeks of intensive lectures, tutorials, projects and fun! When and where? January 6th - 27th 2019 Cape Town, South Africa TO APPLY: https://imbizo.africa<https://imbizo.africa/> [http://isicni.gatsby.ucl.ac.uk/img/Africagrey_trans_small.png]<https://imbizo.africa/> imbizo.africa - #isiCNI2019<https://imbizo.africa/> imbizo.africa The IBRO-Simons Computational Neuroscience Imbizo: a computational neuroscience school in Cape Town, South Africa Faculty for 2019 include: Dora Angelaki (Bayor College, Houston) Demba Ba (Harvard Uni, Boston) Sophie Denève (ENS, Paris) Adrienne Fairhall (Univ of Washington, Seattle) Peter Latham (Univ College London) Timothy Lillicrap (Google Deepmind, London) Joseph Raimondo (Univ of Cape Town) Athanassia Papoutsi (IMBB-FORTH, Hellas) Srikanth Ramaswami (EPFL, Lausanne) Blake Richards (Univ Toronto) Andrew Trevelyan (Newcastle Univ., Newcastle) Misha Tsodyks (Weizmann Inst., Rehovot) Tim Vogels (Oxford) Byron Yu (Carnegie Mellon Univ, Pittsburgh) Who should apply? The Imbizo is designed to introduce students with backgrounds in analytic fields (computer science, statistics, physics, mathematics, engineering, etc.) to the field of computational neuroscience. It will also benefit advanced experimental biologists who would like to learn more computational skills. It also provides an opportunity for students already working in computational neuroscience to do 3 weeks of intensive, focused work in a different sub-topic of the field. Students should generally be at Masters/early PhD level, and have completed at least a 2nd-year university level course in computer science, statistics, physics or mathematics. Some coding experience will also be helpful. More advanced level students (post-Docs, early career PIs) may also be accepted if they can motivate how the courses at the Imbizo could help their career. Well motivated, exceptional undergraduates will also be considered. African students are especially encouraged to apply. What does it cost? The attendance fee for the isiCNI2019 is EUR 1,100.00. Thanks to our generous sponsors, significant bursaries are available to subsidise and waiver student fees, and provide some travel bursaries. Funding will be allocated according to need and merit. Please be sure to complete the relevant section of the application. For more information, please visit https://imbizo.africa<https://imbizo.africa/> [http://isicni.gatsby.ucl.ac.uk/img/Africagrey_trans_small.png]<https://imbizo.africa/> imbizo.africa - #isiCNI2019<https://imbizo.africa/> imbizo.africa The IBRO-Simons Computational Neuroscience Imbizo: a computational neuroscience school in Cape Town, South Africa Or contact isicn.imbizo[AT]gmail.com Thanks and regards IBRO-Simons Computational Neuroscience Committee 2019

June 11, 2018

postdoctoral position in computational neuroscience at the IIT - Italy

by Stefano Panzeri

A postdoctoral position is currently available at the Istituto Italiano di Tecnologia, within the new Center for Human Technologies in Genoa, Italy. The research will be jointly supervised by Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri) and Cristina Becchio ( https://www.iit.it/it/people/cristina-becchio) The aim of this project is to investigate, using both neural network models and the mathematical analysis of behavioral, psychophysical and neuroimaging data from cognitive experiments, how motor variability affects action observation and prediction in both typically developing individuals and individuals with autism. The laboratories of the two supervisors offer a wide range of interdisciplinary expertise in computational and cognitive neuroscience, including advanced analysis, neural analyses techniques, neural network modeling, motion tracking, psychophysics and neuroimaging techniques. The laboratories offer a thriving, well-funded research environment with extensive international collaborations and ample opportunities for advanced training and personal scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific scientific discipline, with a solid computational background and a keen interest in neuroscience and cognition. The ideal candidate is a highly motivated and creative individual who wants to work in a dynamic, multi-disciplinary research environment and is willing to interact with both experimental and theoretical cognitive neuroscientists. The formal deadline for applications is *July 9**th** 2018*. However, interested candidates are advised to contact informally Stefano Panzeri ( stefano.panzeri(a)iit.it) *as soon as possible*. The formal application should be sent by email to *jobpost.75446(a)iit.it* <jobpost.75446(a)iit.it>, *quoting “One post-doctoral position at the interface between Computational and Cognitive Neuroscience - CB 75446 CB 75447” in the subject*. The formal application should contain the CV, a brief statement of research interests, and names and email addresses of 2 referees. Please see the following link for further details: https://www.iit.it/careers/openings/opening/767-one-post-doctoral-position-… Yours truly Stefano Panzeri

June 11, 2018

An Electrodynamic Theory of the Brain

by Patirniche, Dinu

Dear Colleagues, What is a meter? If you say a unit length, you are correct. However, the meter is not just any unit of length, but one that is relevant for you as a human. Mature humans are around 1.70m high, and walk comfortably at 1m/s. But why do we use the meter at all, when it comes to expressing events and distances encountered in the brain? A commonly held biophysical dogma says that magnetic interactions occurring among neighboring compartments of biological tissues, such as for example the different neurons in a brain, can be ignored. The typical argument used to give credit to all biophysical theories rooted in electrostatic is related to the observation that the vast majority of all electrical events within living tissues propagate are incredibly low speeds. Thus, since action potentials (APs), that is, sharp fluctuations of the electric field, are seen to propagate at speeds between 1 and 100 m/s, any dynamic induction phenomena arising due to the presence of such an event is apriorily excluded. And indeed, with meter-long sensors there is hardly any significant electrodynamics signals to be recorded. However, acknowledging that the AP is playing a decisive role in the chemical transmission cycle, we could express the AP's speed in units that are relevant to this process. Since the dendritic spine is an integral part of the chemical transmission machinery, we could introduce a new unit of length and call it the "dendritic-spine-head" to mean 1 micro-meter, or 10^-6 m. Thus, referring to the spine as an observer of the AP, this event propagates at 1,000,000 "dendritic-spine-heads"/s. From the perspective of a spine, the production of such an event is anything but a stationary phenomenon, appearing necessary to consider what an electrodynamic theory might say about the interactions between an incoming electrical pulse and a fixed spine. In following this route, I came to the conclusion that all biological organisms can be easily decomposed into a finite set of disjoint, and electrically insulated volumes, that appear to function as a set of nested highly-exotic electromagnetic antennae. If this view can be maintained, understanding brains as room-temperature quantum computers, and life as a globally coherent state within some finite reach, is inevitable. I present this theory in a preprint entitled Dynamic Aspects of Finite Architectures (http://doi.org/10.13140/RG.2.2.20815.79527) and invite you to read, comment and share this manuscript. Best regards, Dinu Patirniche.

June 11, 2018

Ph.D. Computational Neuroscience @University of Padova

by suweis infn

Dear all, call are open for Ph.D. position in Computational Neuroscience @ the Padova Neuroscience Center, University of Padova (http://pnc.unipd.it/phd-neuroscience/) In particular we propose three different projects: - The Critical Brain in Action (http://pnc.unipd.it/wp-content/uploads/2018/06/P19_Suweis.pdf) - Controllability and Observability of Rat Brain Activity (http://pnc.unipd.it/wp-content/uploads/2018/06/P17_Vassanelli.pdf) - Intrinsic brain activity and sensory coding in the rodent whisker somatosensory system (http://pnc.unipd.it/wp-content/uploads/2018/06/P18_Vassanelli.pdf) The deadline for the application is 26 June 2018. Interested candidate can contact me suweis(a)pd.infn.it Please forward this message to collaborators and students. Thanks Samir Suweis - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Samir Suweis, Ph.D. https://impactstory.org/u/SamirSuweis <https://impactstory.org/u/SamirSuweis> @SamirSuweis Research Scientist (RTDa) LIPh Lab, Physics Department, University of Padova Tel: +39 049 827 72 51 www.pd.infn.it/~maritan/people/Samir/samir.html

June 10, 2018

Post-doctoral research scientist position for psychophysics in audio-visual virtual reality

by Seeber, Bernhard

Dear List, we are inviting applications for a post-doctoral research scientist to join our team for research on psychoacoustics in complex audio-visual virtual environments. Main responsibilities are: - Development of novel techniques for and auditory experiments in interactive audio-visual virtual reality - Development of analysis methods for behavioral responses and statistical analysis of the results - Research on binaural hearing and auditory scene analysis with normal hearing listeners - Publication in English-language scientific journals and presentations at conferences - Supervision of student projects, assistance with teaching and with raising external funding. The position is full time and will start at the earliest convenient date. Qualifications: - Successfully completed doctoral degree (PhD) in one of the following areas: psychoacoustics, audio technology, virtual reality, acoustics, multimodal interaction, signal processing, or a related area - Knowledge and experience desirable in designing and analyzing psychophysical experiments, models of the auditory system, virtual acoustics, audio signal processing, machine learning, auditory scene analysis, binaural hearing, speech perception and speech tests - Very good programming skills in Matlab, Python, or C/C++ - Excellent written and oral communication skills as well as experience with scientific publications - Interest in basic research and the development of technical systems in virtual reality - Flexibility and good interpersonal skills - Interest in supervising students, helping with teaching, and raising external funds. We offer... you the opportunity to join a dynamic, interdisciplinary team, to work with up-to-date technical equipment including an anechoic chamber hosting an audio-visual virtual reality system, and to learn about the latest methods in hearing research. As part of the DFG collaborative research center "Hearing acoustics: Perceptual principles, Algorithms and Applications" you will work closely with our project partners at the University of Oldenburg. Our close interaction with the Bernstein Centre for Computational Neuroscience Munich (www.bccn-munich.de) the Munich School of BioEngineering (www.bioengineering.tum.de) the Graduate School of Systemic Neurosciences (www.gsn.uni-muenchen.de) the Hearing Research Network Munich, our extensive cooperation with industry and with scientific partners, and the numerous courses offered at TUM create an attractive environment with excellent perspectives for personal development. Please see www.aip.ei.tum.de for further information. Employment is according to the state employees salary scheme (TV-L/E13) and is initially for 1 year with the option for extension to 4 years. Women are explicitly encouraged to apply. Severely handicapped persons will be favored if they are equally qualified. In principle, the position could also be filled part-time. Munich - the city famous for the Oktoberfest, high-end cars and its unique location to the Alps - is a bustling, international and interesting place to live which offers a wide range of opportunities to engage in cultural and leisurely activities - from opera to skiing. Interested? I look forward to answering your questions on the phone (+49 89 289 28282) or by email. Please send your expressive application preferably by email no later than 30 June 2018 to: Prof. Dr.-Ing. Bernhard Seeber Professorship for Audio Information Processing Technical University of Munich Arcisstrasse 21 80333 Munich Germany Email: aip(a)ei.tum.de. The job advertisement can also be found at: https://portal.mytum.de/jobs/wissenschaftler/NewsArticle_20180608_072800 Kind regards, Bernhard

June 8, 2018

Postdoc position in Geometric Methods for Deep and Reinforcement Learning at RIST

by Luigi Malagò

=========================================================== *Subject*: Postdoc position in Machine Learning (1 year, renewable up to 2.5 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*: 30 June 2018 (applicants are encouraged to apply earlier) *Salary*: around 2190 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 2.5 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 http://luigimalago.it/group.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired by 2018. 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 Malagò <malago(a)rist.ro>, principal investigator of the DeepRiemann project. Application deadline: 30 June 2018 (applicants are encouraged to apply earlier) best regards, Luigi Malagò

June 8, 2018

Postdoc position in computational neuroscience- University of Calgary

by Roberto C Sotero

The Computational Neurophysics Lab at the University of Calgary ( www.soterolab.com) headed by Dr. Roberto C. Sotero, is looking for a talented postdoctoral fellow, interested in working in the field of computational neuroscience, specifically modeling and identifying brain networks from EEG and fMRI data, and developing model-based control methods to steer these networks from their pathological dynamics towards healthy dynamics. As an example, see our recent paper: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.10061… The perfect candidate has a strong mathematical, physical, or engineering background (or equivalent), programming skills, and a keen interest in biological and neural systems. A PhD in the field of computational neuroscience is a plus. Applications including a CV, the statement of research interests, and the names and contact information of two references should be sent to roberto.soterodiaz(a)ucalgary.ca. Applications will be assessed as they arrive, and the position will remain open until filled. Salary will be based on University of Calgary post-doctoral rates and commensurate with experience. Best regards, Roberto C. Sotero, PhD Assistant Professor Department of Radiology Hotchkiss Brain Institute University of Calgary, Alberta, Canada www.soterolab.com roberto.soterodiaz(a)ucalgary.ca

June 7, 2018

PhD position, University of Innsbruck (Austria)

by Antonio Rodriguez-Sanchez

Ph.D. Student Position in Robot Learning or Computer Vision at U. Innsbruck The research group in Intelligent and Interactive Systems <https://iis.uibk.ac.at/>, led by Profs. Justus Piater and Antonio Rodríguez-Sánchez, has an opening for a Ph.D. student, on a university assistant position that includes minor teaching requirements. The research will be loosely aligned with ongoing research projects <https://iis.uibk.ac.at/research/projects> in the lab: deep learning in computer vision or robotics computational models of biological vision biologically-inspired computer vision robot vision and closed-loop sensorimotor interaction open-ended and intrinsically-motivated robot learning concept discovery by learning robots goal-oriented exploratory learning prediction of action effects robot skill optimization human-robot interaction and collaboration How to Apply Interested applicants should send a letter of motivation, a curriculum vitae including URLs of English-language theses and dissertations, scanned transcripts and diplomas, and contact information of at least two references in PDF to Justus.Piater(a)uibk.ac.at <mailto:Justus.Piater@uibk.ac.at>. Applications will be considered as they are received, until all positions are filled. Starting date is October 2018 or earlier. More details on https://iis.uibk.ac.at/jobs <https://iis.uibk.ac.at/jobs> Priv. Doz. Antonio Rodríguez-Sánchez, PhD Intelligent and Interactive Systems Dept. of Computer Science - Institut für Informatik University of Innsbruck - Universität Innsbruck Austria – Österreich https://iis.uibk.ac.at/public/antonio/ <https://iis.uibk.ac.at/public/antonio/>

June 7, 2018

Combined Postdoc and science manager to be integrated into the Human Brain Project – Data-driven modeling of plasticity combined with project coordination

by Jeanette Hällgren Kotaleski

Dear Colleagues, dear all, KTH Royal Institute of Technology, Stockholm, is currently recruiting a joint postdoc / science manager to be working within the Human Brain Project. Specifically for the above position data-driven modeling of receptor induced cascades such as GPCR dependent cascades involved in neuromodulation and synaptic plasticity will be done. The first year also research coordination and management is an important challenge of the job. Position can be prolonged (up to maximally 2 or 4 years, the latter if one has received a PhD within the last 3 years). More info and how to apply at: https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:208384/wher… All the best, Jeanette Hellgren Kotaleski Prof, Dept Computational Science and Technolgy, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm

June 5, 2018

Master programme in Neuroinformatics and Computational Neuroscience

by Marcus Kaiser

Dear all, Please forward the following to interested final year UG students. our one-year master degree program in Neuroinformatics and Computational Neuroscience at Newcastle University is now accepting student applications. The course focuses on handling brain connectivity datasets, analyzing electrophysiological recordings, and simulating neural activity and development. Applications range from theoretical neuroscience and machine learning to experimental and clinical research. There are more than a dozen faculty members in the areas of Neuroinformatics, Health Informatics, and Neurotechnology within Newcastle University (see overview at http://neuroinformatics.ncl.ac.uk/ ). Close interactions with experimental and clinical researchers are a key component of the course and the dissertation research project. Ongoing research areas in Newcastle include neuroimaging, psychophysics, systems neuroscience (visual, auditory, and motor system), ageing, neurorehabilitation, brain rhythms, brain-machine interfaces, neurochips, and connectomics (http://www.ncl.ac.uk/ion ). Newcastle University hosts around 100 principal investigators in the neurosciences. You can find out more about the program and how to apply at http://www.ncl.ac.uk/postgraduate/courses/degrees/computational-neuroscienc… COURSE OUTLINE The MSc in Neuroinformatics is a full-time, one-year advanced masters course designed for students who have a good degree in the biological sciences or the physical sciences (computer science, mathematics, physics, engineering). It provides the specialist skills in core Neuroinformatics courses (such as computing and biology) with a significant focus on the development of research skills. Prior experience with computers or computer programming is not required. The program is ideal for students aiming for careers in industry or academia. The course is based in the School of Computing but there are strong links with biomedicine, engineering, and the Institute of Neuroscience. WHY STUDY AT NEWCASTLE? The MSc in Neuroinformatics is a truly interdisciplinary degree and provides the dual skills necessary to establish a rewarding career in this research area. The Newcastle program has a research focus on data management, network analysis (e.g. Kaiser, Neuroimage, 2011), and simulation. Newcastle is among the pioneers of the field in the UK and hosted the £4m EPSRC-funded CARMEN project for managing and processing electrophysiology data. We are currently involved in the £10m EPSRC/Wellcome Trust-funded CANDO project for developing an implantable optogenetic device for epilepsy patients (http://www.cando.ac.uk/ ). Newcastle has strong links with the International Neuroinformatics Coordinating Facility (INCF). Currently, members of the faculty lead Neuroinformatics UK (http://www.neuroinformatics.org.uk/ ) and co-chair the Neuroinformatics Special Interest Group of the British Neuroscience Association (BNA). COURSE CONTENT Semester 1 contains modules to build the basic grounding in, and understanding of, Neuroinformatics theory and applications, mathematics and statistics, and programming. Semester 2 introduces modules that focus heavily on introducing subject-specific research skills and includes options for choosing modules. A major part of the programme is a research project that will occupy approximately six months. This project may be associated with staff in any of the Schools mentioned above, thus providing a wide range of exciting areas in which the newly learnt Neuroinformatics skills can be deployed. HOW TO APPLY Applications for this program are now being accepted. Please see http://www.ncl.ac.uk/postgraduate/courses/degrees/computational-neuroscienc… for more information. Best, Marcus -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab<https://twitter.com/ConnectomeLab> Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Urban Sciences Building Newcastle University 1 Science Square Science Central Newcastle upon Tyne NE4 5TG UK Lab website: http://www.dynamic-connectome.org<http://www.dynamic-connectome.org/>/ Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ Neuroinformatics one-year master programme: http://research.ncl.ac.uk/neuroinformatics/study

June 5, 2018

Postdoc in Brain Network Analysis and Modeling at Vanderbilt University

by Mikail Rubinov

Dear Colleagues, The Rubinov lab at Vanderbilt University Biomedical Engineering (http://www.rubinovlab.net) analyzes and models brain networks across modalities, species and scales. Our research interests broadly include: 1) Integrative statistical models of big neuroscience networks. 2) Evolutionary principles of brain network organization. 3) Information transfer in neural systems. 4) Neuropsychiatric connectivity phenotypes. We are recruiting a motivated postdoctoral researcher to join our lab. The position will be based at the Department of Biomedical Engineering and will be supervised by Dr. Mika Rubinov. There will be opportunities to develop exciting research ideas at the intersection of systems neuroscience, evolutionary neuroscience, network science and data science, and to collaborate with leading investigators at Vanderbilt University and Janelia Research Campus (Howard Hughes Medical Institute). The successful applicant should be passionate about neuroscience and understanding the brain, have good programming skills, and a strong background in a quantitative discipline, including but not limited to network science, computational neuroscience, computational biology, mathematics, physics, computer science, or electrical engineering. Preference will be given to applicants with a good publication record and with experience in analysis of complex datasets. The applicant must have completed their PhD by the start of this position. The position will be initially for one year, with possibilities for yearly extensions subject to satisfactory annual reviews. The salary will be commensurate with the applicant’s experience and qualifications. Vanderbilt is an elite research university (https://www.usnews.com/best-colleges/vanderbilt-3535) located in Nashville, one of the hottest cities in the US today (http://www.visitmusiccity.com/media/rankings) Applicants are welcome to email Mika Rubinov for more details and information. Please submit the following application materials directly to mika.rubinov(a)vanderbilt.edu 1) A cover statement of the applicant’s fit for this position. 2) Curriculum Vitae. 3) A list of 2-3 key publications. 4) Contact details for 2-3 referees. Review of applications will begin immediately and will continue until the position is filled. https://www.nature.com/naturejobs/science/jobs/645613-postdoctoral-research… Best regards, Mika

June 4, 2018

Postdoctoral Position @UPenn in Vision Science & Computational Neuroscience

by Burge, Johannes

I am looking for a postdoctoral researcher to fill an NIH-funded position on the research team in the Natural Vision Lab at the University of Pennsylvania (http://burgelab.psych.upenn.edu<http://burgelab.psych.upenn.edu/>). My lab works to understand how vision works with natural stimuli. We use databases of natural images, statistical learning tools, ideal observer analysis, and behavioral experiments to gain a precise understanding of the processes that support perception. We have ongoing projects across a range of topics in vision and computational neuroscience, but we tend to focus on tasks and coding problems that are directly or indirectly related to motion and depth perception. My lab is also affiliated with the Computational Neuroscience Initiative at Penn, a community of top researchers working on an array of problems in sensation, perception, and cognition. Strong computational and programming skills are necessary, as well as experience designing and running psychophysical experiments. Familiarity with Matlab and Psychtoolbox is required. A solid background in computer graphics and knowledge of C/C++ and object oriented programming is desirable. The lab has a high refresh-rate VPixx ProPixx projector, a haploscope driven by two high-resolution VPixx ViewPixx monitors, and a large suite of custom code for statistical learning and for the analysis of psychometric data. Applicants must have finished their Ph.D. in neuroscience, vision science, engineering, computer science, or related fields and have a demonstrated record of research productivity. The position is available before the end of Summer 2018. The precise start date is flexible. Applicants should send a brief statement of interest, CV, and the names of three references to Johannes Burge (jburge(a)sas.upenn.edu<mailto:jburge@sas.upenn.edu>). Letters will be requested if your candidacy is being seriously considered. Applications will be assessed as they arrive and the position will remain open until filled. Salary will be based on NIH post-doctoral rates and commensurate with experience. ======================== Johannes Burge, PhD Assistant Professor Department of Psychology Neuroscience Graduate Group University of Pennsylvania http://burgelab.psych.upenn.edu jburge(a)sas.upenn.edu (215) 573 6528

June 4, 2018

IBRO-Simons Computational Neuroscience Imbizo 2019: call for Teaching Assistants

by ucgtada＠ucl.ac.uk

The IBRO-Simons Computational Neuroscience Imbizo (isiCNI) is a computational neurosciencesummer school held in Cape Town, South Africa. We are looking for several Post-Doc (oradvanced PhD) researchers to join our team as Teaching Assistants (TAs) for the isiCNI2019 in January 2019. *About the Imbizo:* The school hosts 30 students for an amazing 3 weeks of lectures, tutorials, projects and parties! All this takes place right on Muizenberg beach, between the mountain and the ocean. It's a spectacular location. The dates for the isiCNI2019 are*January 6th - 27th 2019.* The Imbizo is a special experience, with students being totally immersed in academic, social, touristic and cultural activities for the full 3 weeks. This has resulted in student and TA groups from previous schools becoming very close, personally and scientifically. This is fantastic, as a major goal of the isiCNI project is to help young African researchers grow their academic peer and friend group. *About being a TA:* EachTAruns one afternoon tutorial in the first week of the school, which they design themselves. Each TA will teach a different topic, which the TA's choose among themselves, to try and provide students with a broad exposure to problems and methods in comp neuro. EachTAis also assigned 5 students to supervise for project work during the second 2 weeks of the school. TAs are integral in helping run the school. In addition to academic support, they foster good social interaction and academic discussions between students and help 'shy' students meet faculty. They also act as 'social' care-takers, helping to notice and support students who may be feeling ill, not fitting in socially, or generally having difficulties. To fulfil these roles, TAs need to be at all school meals and activities. We will also need a little help processing studentapplications*during August*. *What we provide:* All this is obviously at no cost to TAs. We cover a direct as possible economy class ticket to Cape Town, as well as all board and lodging during the school. In addition, TAs will receive a cash budget for 'hosting purposes' during the school (e.g. buying some beers/ice-creams for students, train tickets, etc.) *I'm interested, how do I apply:* If you think you would like to join us for this amazing experience, please send us a brief CV (2 or 3 pages is fine) toisicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com>. Please include (as a cover letter or in your email) a short motivational statement for why you would be a good fit. The_*DEADLINE is JUNE 18th 2018*_ We hope to hear from you soon! Let us know if you have any questions. Thanks and regards Dr Peter E. Latham, Dr Tim Vogels, Dr Joseph Raimondo and Alex Antrobus IBRO-Simons Computational Neuroscience Imbizo Committee 2019 #isicni2019 Twitter: @isicni

June 4, 2018

FENS Satellite Symposium: From Scanner to Bedside

by Marcus Kaiser

Dear colleagues, I would like to draw your attention to our FENS Satellite Symposium "From Scanner to Bedside - What do connectome and gene expression say about brain diseases?" chaired by Prof. Marcus Kaiser (Newcastle University) and Dr Markus Butz-Ostendorf (Biomax): https://www.biomax.com/symposiums/from-scanner-to-bedside/ In this FENS satellite symposium on Friday 6 July, research with a high potential for applications in neurology and psychiatry is presented. We want to bring together scientists with clinicians from all disciplines dealing with brain diseases and to provide a forum for discussion and exchange what steps are needed to bring novel techniques into clinical applications. Keynote Lectures are given by PROF. DR. ANDREAS MEYER-LINDENBERG (Zentralinstitut für seelische Gesundheit, Mannheim, Germany) PROF. DR. ED BULLMORE (Cambridge University, Cambridge, UK) PROF. DR. DR. ELISABETH BINDER (Max-Planck Institute for Psychiatry, Munich, Germany) For the full program see https://www.biomax.com/symposiums/from-scanner-to-bedside/ Participation is free but please register at https://ssl.biomax.de/Symposium/register.html Looking forward to welcoming you in Berlin! Best regards from the organizers, Marcus Kaiser & Markus Butz-Ostendorf -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab<https://twitter.com/ConnectomeLab> Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Urban Sciences Building Newcastle University 1 Science Square Science Central Newcastle upon Tyne NE4 5TG UK Lab website: http://www.dynamic-connectome.org<http://www.dynamic-connectome.org/>/ Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ Neuroinformatics one-year master programme: http://research.ncl.ac.uk/neuroinformatics/study

June 2, 2018

Job Vacancy Announcement - Health Scientist Administrator (Program Officer) Computational Neuroscience and Electrophysiology Program

by Michele Ferrante

*Health Scientist Administrator (Program Officer)Computational Neuroscience and Electrophysiology ProgramNational Institute of Mental HealthDepartment of Health and Human Services* The National Institute of Mental Health (NIMH) Division of Neuroscience and Basic Behavioral Research announces openings for Health Scientist Administrators (Program Officer) to guide and manage a grants program supporting basic research in computational neuroscience and electrophysiology. The Program Officer will lead an extramurally-funded and innovative program employing computational and mathematical approaches to modeling dynamical neuronal processes underlying brain signaling from molecules and cells, as well as complex behaviors (e.g., affect, cognition, executive function, and social behavior). Topic areas within this program include empirical and computational studies (theory- and data-driven models), that combine mathematical and computational tools with neurophysiological, neuroanatomical, or neurochemical techniques to identify the biological mechanisms underlying single cell and circuit dynamics. The program supports studies to develop novel analytical and statistical approaches to high dimensional data sets to identify patterns and relationships among mental health relevant variables. Hypothesis-driven studies seeking to integrate diverse levels of analysis, casual manipulations, and theoretical modeling of neural dynamics are of special interest as are studies developing novel computational algorithms and methods for acquisition, analysis and interpretation of neural data in model systems. This position provides an opportunity to impact priorities, develop new research initiatives and to contribute to the advancement of a national program of computational neuroscience research spanning molecular and cellular electrophysiological analyses. Individuals are encouraged to apply who have research experience using a broad range of computational methods and electrophysiology. General responsibilities will include administering and managing an extramural portfolio of research grants, interacting with researchers and program officers for related programs at NIMH, NIH, and other funding agencies, and developing new research initiatives. This position requires working both independently and collaboratively. Strong organizational, oral, written and communication skills are also required. Salary will be commensurate with the experience of the candidate. A full package of federal Civil Service benefits is available, including: retirement, health and life insurance, long term care insurance, leave, and a Thrift Savings Plan (401K equivalent). The successful candidate is subject to a background investigation and public financial disclosure requirements. For medical and scientific specialties, qualification requirements, evaluation criteria, and application instructions, please view the vacancy announcement at https://jobs.nih.gov/globalrecruitment/. Interested candidates should send a letter of interest, including a curriculum vitae to *NIMHsearch(a)mail.nih.gov* <NIMHsearch(a)mail.nih.gov>*.* The NIH encourages the application and nomination of qualified women, minorities, and individuals with disabilities. HHS and NIH are Equal Opportunity Employers. https://www.nimh.nih.gov/about/careers/job-vacancy-announcement-health-scie… https://www.nimh.nih.gov/about/careers/dnbbs_job_announcement_hsa_computati… Please feel free to reach out (ferrantem(a)nih.gov) for guidance. Regards, Michele …………………………. Michele Ferrante, Ph.D. (ferrantem(a)nih.gov) Program Director: Computational Neuroscience & Computational Psychiatry National Institute of Mental Health 301-435-6782 <(301)%20435-6782>

June 1, 2018