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[jobs] Fully funded MS/PhD student positions in Data Science, Bio-inspired Robotics, and Neural Engineering at IST, VISTEC, Thailand
by Poramate Manoonpong Nov. 21, 2017

Nov. 21, 2017

Dear Colleagues, The School of Information Science and Technology (IST) at Vidyasirimedhi Institute of Science and Technology (VISTEC), Thailand, welcomes all applicants for our international Master's and Doctoral degree program. Our school offers a competitive, English language, interdisciplinary, world-class PhD training and research program in Information Science and Technology. We have 20 fully funded Master and PhD student positions. Our program includes 2-years MS, 5-years MS+PhD, and 3-years PhD options. The students will be formally affiliated with the Master/PhD program at IST, VISTEC, Thailand. They will have the opportunity to develop new algorithms and research ideas and perform experiments on real hardware, e.g., High performance computing, Advanced robotic systems, Exoskeleton, and Brain computer interface systems. Our basic research under the IST umbrella focuses on main areas: Data Science, Cloud/HPC, IOT, Bio-inspired Robotics, and Neural Engineering. Data Science and Engineering (Large-Scale Analytics, Data Engineering, Data Mining, Artificial Intelligence and Machine Learning): We address various scalability issues in machine learning, data mining, database query processing. We are especially interested in developing solutions for machine learning problems with an extremely large number of classes and a scalable system for managing and storing various forms of high-dimensional data. Our application domains include (but not limited to) natural language processing, time series data management, geospatial data mining, business intelligence, IoT data analytics, and health data analytics. Bio-inspired robotics: We address how to develop brain-like mechanisms for adaptive motor control and autonomous learning of embodied multi-sensorimotor robotic systems (i.e., bio-inspired robots, exoskeleton). We also transfer the developed mechanisms (BRAIN technology) to application areas like human-machine interaction, brain-machine interface, and rehabilitation (see www.brain.vistec.ac.th<http://www.brain.vistec.ac.th/> for more details). Neural Engineering: We address an investigation of closed-loop EEG-based Brain Computer Interface (BCI) helps bridge the gap in communication between man and machine. Understanding patterns of brain activity from basic neuroscience research will help engineering to optimize the BCI system that could be applied in the real-world environment. Advanced signal processing techniques and pattern recognition methods such as machine learning, artificial neural network, and deep learning can improve the efficiency of BCI by increasing information transfer rate and accuracy. Ultimately, research based on BCI could lead to the development of novel tools used in both clinical and healthy populations (see www.brain.vistec.ac.th<http://www.brain.vistec.ac.th/> for more details). Financial Support: This studentship includes 1) fee bursary to cover the tuition fee rate 2) a maintenance allowance during the study, 3) grant of 1 Million Bath scholarship for international research experience. Person Specification: The successful applicant from any nationality will have a strong undergraduate (first class or upper second class) and/or Master's degree in 1) Science (Physics, Mathematics, Computer and related fields) 2)Engineering (Computer, Mechanical, Electrical, Robotics, and related fields) 3) Applied Science (Information Technology, ICT, Machine Learning, and related fields) Applicants with excellent programming and analytical/mathematical skills as well as expertise and research interests lying at the intersection of Data science, Bio-inspired Robotics, and Neural Engineering are particularly welcome to apply. Applicants from non-English speaking countries will need to satisfy English language entry requirements. Application Documents: 1. CV 2. Official Transcripts 3. Statement of Purpose/ Statement of research interest Optional: 4. Letters of recommendation 5. English test score (TOEFL, IELTS, or other tests) 6. Publications, awards & honors 7. Portfolio and other relevant documents Applications should be submitted online by January 31st , 2018. http://www.vistec.in.th/admission/form.php http://www.vistec.in.th/admission/ For further information or questions please contact Box Leangsuksun E-mail: chokchai.l(a)vistec.ac.th<mailto:chokchai.l@vistec.ac.th> Vidyasirimedhi Institute of Science and Technology, Wangchan Valley 555 Moo1 Payupnai, Wangchan, Rayong 21210 Thailand Tel: +6633-01-4116 Website of VISTEC: http://www.vistec.ac.th<http://www.vistec.ac.th/>

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Multiple academic positions in Cognitive Analytics Research Laboratory, Ulster University
by Wong-Lin, Kongfatt Nov. 21, 2017

Nov. 21, 2017

Several academic positions in data analytics, including neuroinformatics, are available at Ulster University. They range from Lecturership (Assistant Professorship equivalent) to (Full) Professorship. The application deadline is 8 December 2017. Best, KongFatt Wong-Lin https://www.ulster.ac.uk/staff/k-wong-lin ----------------------------------------------------------------------- Professor of Data Analytics (2 posts)<https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTY5MTM4MCZ2dF90…> http://www.jobs.ac.uk/job/BFM233/professor-of-data-analytics-2-posts/ Readers/Senior Lecturers in Data Analytics (3 posts)<https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTY5MTM4MSZ2dF90…> http://www.jobs.ac.uk/job/BFM247/reader-senior-lecturer-in-data-analytics-3… Lecturers in Data Analytics (3 posts)<https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTY5MTM4NCZ2dF90…> http://www.jobs.ac.uk/job/BFM258/lecturer-in-data-analytics/ Ulster University – Cognitive Analytics Research Laboratory, Faculty of Computing, Engineering and the Built Environment An exciting opportunity to contribute to internationally recognised research and help shape the future of data analytics. Ulster is a university in the top 3% globally, where excellence in teaching is underpinned by world-leading research. Ranked as one of the world’s top 150 young universities and in the top 25% of UK universities for overall research, Ulster is ambitious, forward-thinking and outward-looking. Our new Cognitive Analytics Research Laboratory is Northern Ireland’s first data analytics institute. It is a £4 million investment that brings together businesses, government and advanced academic research expertise to find innovative application areas for cognitive analytics techniques. It is part of an exciting programme of investment in new infrastructure and initiatives driven by a five-year strategic vision to deliver a university that is sustainable and innovative with a strong international reputation. Ulster has a long history of expertise in data analytics in both machine learning algorithms and the application of analytical techniques across a diverse range of domains including Health and Neuroinformatics. We are seeking to appoint talented and creative people with a genuine passion for their work, who will deliver outstanding research and teaching that encourages innovation, leadership and vision. The appointment is permanent and is open to applications from individuals or teams. Location: Magee campus, Derry~Londonderry. Attractive reward package including a competitive starting salary, pension scheme and financial assistance with relocation. Closing date for applications: 8 December 2017. For more information about this opportunity visit: www.ulster.ac.uk/jobs<http://www.ulster.ac.uk/jobs> ------------------------------------------------ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Postdoctoral position in computational neuroscience and machine learning
by Maxim Bazhenov Nov. 20, 2017

Nov. 20, 2017

Applications are invited for a post-doctoral research position in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to develop neuroscience inspired machine learning algorithms capable of continual learning and adapting to the novel situations and contexts.This project involves close collaboration with the experimental laboratory of Dr. Bruce McNaughton (UC Irvine). The ultimate goal of the work is to advance the knowledge of how human and animal brains learn from experience and apply these principles to the artificial systems to enable continuous learning without catastrophic forgetting. The successful candidate will collaborate with a team of researchers to design neural network models of dynamic interactions between the hippocampus and neocortex during learning and memory consolidation based on experimental data. These models will be used to derive learning principles that can be combined with advances in artificial intelligence and machine learning. An ideal candidate should have experience in computational/theoretical neuroscience and a basic knowledge of machine learning, or, alternatively, experience in machine learning algorithms and some basic knowledge ofneuroscience. Experience with hierarchical learning, reinforcement learning, and/or goal-directed decision-making would be particularly helpful. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

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NEST Conference 2017 --- Register NOW!
by Dennis Terhorst Nov. 17, 2017

Nov. 17, 2017

Dear all! Coming up mid of December the community of NEST users and developers will meet to discuss neuroscientific work with NEST and the status and future of simulation technology on the NEST Conference 2017 to be held on 19/20 December 2017 (Tuesday/Wednesday, lunch to lunch) at Haus Overbach in Barmen near Jülich, Germany. After our very successful and stimulating meeting in Karlsruhe last November, we are greatly looking forward to 24 hours filled with presentations and discussions of NEST applications to computational neuroscience and neurorobotics projects and NEST technology development. You are cordially invited to contribute to the program with your contribution! We are grateful to the Human Brain Project Outreach Programme and Education Programme for financial support. Important deadlines: - 19 November 2017: Extended deadline for submission of contribution - 26 November 2017: Extended deadline for registrations For details, contribution submission and registration, please see https://indico-jsc.fz-juelich.de/event/52/overview We are looking forward to seeing you all in December! best, Dennis Terhorst -- Dipl.-Phys. Dennis Terhorst Coordinator Software Development Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Theoretical Neuroscience, Institute for Advanced Simulation (IAS-6) Jülich Research Centre, Member of the Helmholz Association and JARA 52425 Jülich, Germany Building 15.22 Room 4004 Phone +49 2461 61-85062 Fax +49 2461 61- 9460 d.terhorst(a)fz-juelich.de

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Postdoc position in systems/computational neuroscience (retina)
by Philipp Berens Nov. 17, 2017

Nov. 17, 2017

Dear all, Thomas Euler and I have a postdoc position available. Applications are sought for a Postdoc position for a collaborative project in the groups of Thomas Euler and Philipp Berens at the Institute for Ophthalmic Research , the CIN, and the Bernstein Centre for Computational Neuroscience (BCCN) of the University of Tübingen. The project is part of the DFG Priority Programme „Computational Connectomics” (SPP 2041). The goal of the project is to combine functional imaging of excitatory and inhibitory signals with computational modeling based on connectomics data from electron microscopy to study the role of amacrine cell circuits in the retina. The candidate for the position ... must have a PhD in a relevant discipline (e.g. neuroscience) must have experimental skills ideally in functional 2P imaging, alternatively in electrophysiology has a strong background in neuroscience at the circuit or systems level, ideally in the visual system is proficient in modern programming languages (i.e. Python) is experienced in data analysis. The ideal candidate is self-motivated, independent, and able to learn quickly, is proficient in English verbal and written communication and has strong problem-solving skills. What we offer The positions is available immediately, with funding for 3 years and possible extension depending on further funding. The postdoc will work embedded in an highly collaborative, interdisciplinary environment, providing ample possibilities for career development. Applications should include a CV, a statement of research motivation and experience, and the names of at least two referees. Please compile your application in one single PDF-file and email it to positions(a)eulerlab.org. Further details: http://eulerlab.de/positions/ -- PD Dr. Philipp Berens (Group Leader) University of Tübingen Institute for Ophthalmic Research http://www.berenslab.org phone: +49-7071-2988833

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ICMNS 2018: Call for Contribution
by Etienne Tanre Nov. 16, 2017

Nov. 16, 2017

We are delighted to announce the 4th International Conference on Mathematical Neuroscience (ICMNS 2018), to be held at the Congress Center in Juan-les-Pins, on the French Riviera. Tutorials will be held on June 10, and the main conference is June 11 - June 13. More details are given on the conference website: https://icmns2018.inria.fr <https://icmns2018.inria.fr/> The International Conference on Mathematical Neuroscience will provide a forum for researchers to discuss current mathematical innovations emerging in neuroscience. A major aim of the conference is to attract and train young researchers on current methods in mathematical neuroscience. To fulfill this goal, we will hold a tutorial the day before the main meeting. The main conference will feature a broader set of topics in mathematical neuroscience, with a focus on (a) the use of experimental data in modeling studies; (b) theory and models that explore hypotheses and design better experiments; (c) rigorous mathematical models of neural systems; (d) improved methods for analyzing complex data sets. Abstract Submission: We encourage abstract submission by researchers from all areas of mathematical neuroscience. One page abstracts will be reviewed by the Program Committee and divided into parallel talk sessions and poster sessions. Details will be given on the web site <https://icmns2018.inria.fr/>. The abstract submission <http://icmns2018.inria.fr/submission/> deadline is January 23, 2018. Student Awards: We offer student awards. To apply, students must submit an abstract and include a current CV as part of their submitted document in Easychair <https://easychair.org/conferences/?conf=icmns2018>. Program Committee Daniele Avitabile (Univ. of Nottingham, UK) Nicolas Brunel (Duke Univ., USA) Carina Curto (Pennsylvania State Univ., USA) Rodica Curtu (Univ. of Iowa, USA) Mathieu Desroches (Inria Sophia-Antipolis, France) Lubomir Kostal (Inst. of Physiology, Czech Republic) Carlo Laing (Massey Univ., New Zealand) Benjamin Lindner (Bernstein C. for Comp. Neuroscience Berlin, Germany) Eva Löcherbach (Univ. Cergy-Pontoise, France) André Longtin (Univ. Ottawa, Canada) Jeff Moehlis (Univ. California Santa Barbara, USA) Hiroya Nakao (Tokyo Instit. of Technology, Japan) Patricia Reynaud Bouret (Univ Nice, France) Alex Roxin (CRM Barcelona, Spain) Delphine Salort (Univ Pierre et Marie Curie, France) Wilhelm Stannat (TU Berlin, Germany) Denis Talay (Inria Sophia-Antipolis, France) Michèle Thieullen (Univ Pierre et Marie Curie, France) Martin Wechselberger (Univ Sydney, Australia) Advisory Board Paul Bressloff (Univ. of Utah, USA) Evelyn Buckwar (JKU Linz, Austria) Stephen Coombes (Univ. of Nottingham, UK) Olivier Faugeras (Inria Sophia Antipolis, France) Julijana Gjiorgjieva (Max Planck Institute for Brain Research, Germany) Zachary Kilpatrick (Univ. of Colorado Boulder, USA) Robert Rosenbaum (Univ. of Notre Dame, USA) Romain Veltz (Inria Sophia Antipolis, France) We hope to see you in Juan les Pins this June! All the best, Susanne Ditlevsen Bard Ermentrout Etienne Tanré

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Postdoctoral Fellow Position in Human Neuroimaging
by Sylvia Morelli Nov. 16, 2017

Nov. 16, 2017

The Empathy and Social Connection Lab <http://www.morellilab.com/> at the University of Illinois at Chicago (PI: Sylvia Morelli) has an opening for a postdoctoral fellow to begin any time between January to July 2018. The postdoctoral fellow will have the opportunity to work on neuroimaging research related to empathy, prosociality, social networks, well-being, loneliness, and depression (including collaborative projects with the Stanford Social Neuroscience Lab <http://ssnl.stanford.edu/>). Successful applicants should have a PhD in neuroscience, psychology, computer science, statistics/biostatistics, mathematics, or a related field. They should also have a strong background in programming, statistics, and the design and analysis of fMRI experiments, as well as excellent communication and organizational skills. Experience with computational neuroscience techniques — such as multivariate pattern analysis, prospective prediction, machine learning, effective connectivity, or connectomics/graph theory — is a bonus, but not a requirement. The position will be fully funded for at least 2 years with the potential for a longer-term position. We will review applications beginning December 10, until the position is filled. Applicants should send a CV, a statement describing research interests and experience (maximum: 1 page), and contact information for two references to Sylvia Morelli (smorelli(a)uic.edu <mailto:smorelli@uic.edu>).

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PhD position in neural coding
by Matthew Chalk Nov. 16, 2017

Nov. 16, 2017

PhD position in theoretical neuroscience, at the Vision Institute in Paris, France: Description: Applications are invited for a fully funded 3-year PhD studentship with Matthew Chalk, at the Vision Institute (www.institut-vision.org/en/ <http://www.institut-vision.org/en/>), within the University of Pierre and Marie Curie (UPMC), in Paris, France,. The project will involve investigating neural coding in the retina. Specifically, it will ask how neurons achieve diverse goals, such as optimising efficiency or making predictions about the future. The PhD will include both a theoretical and an experimental component. The theoretical part will extend work by Chalk et al. to develop a general theory of neural coding (Chalk et al. NIPS 2016, Chalk et al. bioArxiv 2016). The experimental part, where we will test this theory in the retina, will be in close collaboration with 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 strong quantitative background, with a masters degree in fields such as physics, computer science or computational neuroscience. Applications should include a CV, a short letter of motivation (max 1 page), and letter of recommendation. The earliest starting date is January 2018. Electronic submissions should be sent to Matthew Chalk (matthewjchalk(a)gmail.com <mailto:matthewjchalk@gmail.com>). Feel free to ask any informal questions if you are interested.

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Deadline Approaching: Theoretical/Statistical Neuroscience Faculty Openings at Columbia
by Allison Ong Nov. 15, 2017

Nov. 15, 2017

Dear Colleague, This is a friendly reminder that *Dec 1, 2017 *is the deadline for Columbia's search for *two faculty positions in Theoretical and Statistical Neuroscience.* We would appreciate it if you could forward the information below or the flier attached to any interested candidates. The link to apply is: academicjobs.columbia.edu/ applicants/Central?quickFind=65051 Thanks and Best Wishes, Larry Abbott and Liam Paninski *Two Junior Faculty Position in Theoretical / Statistical Neuroscience* The Department of Neuroscience, the Department of Statistics, and the Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University invite applications for two tenure-track positions at the Assistant or Associate Professor level, to begin in 2018. One position will focus on theoretical neuroscience with an appointment in the Department of Neuroscience. The other position will focus on the application of statistics to neuroscience with an appointment in the Department of Statistics. Both positions will include appointments as well as office and laboratory space in the Center for Theoretical Neuroscience and the Grossman Center of the Statistics of Mind within the Mortimer B. Zuckerman Mind Brain Behavior Institute housed in the Jerome L. Greene Science Center at Columbia. The Zuckerman Institute brings together scientists from diverse backgrounds whose research focuses on brain function, wiring, and development. We are seeking dynamic scientists interested in exploiting this multidisciplinary environment by interacting with Zuckerman Institute faculty as well as with others in the Columbia neuroscience, biological sciences, physical sciences, statistics, and machine learning communities, including the Data Science Institute. Zuckerman Institute faculty will function as full members of their home departments: tenure will be granted by the home department and faculty will contribute to teaching in their home departments and the Zuckerman Institute. Candidates will be expected to show expertise and an ability to lead a research program in theoretical and/or statistical neuroscience. Applicants are expected to have a strong record of scientific achievement and to demonstrate the ability to engage in innovative research and teaching. Applicants should hold a PhD in neuroscience, statistics, or a related area. Applications should be submitted through this link: academicjobs.columbia.edu/applicants/Central?quickFind=65051 The following documents should be uploaded with your application: cover letter, CV, research plan, teaching statement, three letters of reference or a listing of at least three references that can be contacted, and the inclusion of one or two publications. Women and minorities are strongly encouraged to apply. We will start to evaluate applications on December 1, 2017. Columbia University is an Equal Opportunity/Affirmative Action employer --Race/Gender/Disability/Veteran.

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Call for SMARTSTART Applications
by Smart Start Coordination Office Nov. 15, 2017

Nov. 15, 2017

Ready for a SMARTSTART into Computational Neuroscience? We invite first and second-year Master students with a background in related fields to apply to our joint training program SMARTSTART. The program aims at complementing previous studies with concepts, theories and techniques of Computational Neuroscience. SMARTSTART consists of two programs. Both of them last one year each and take place at numerous locations of the Bernstein Network and further locations throughout Germany. SMARTSTART 1 provides financial support to then second-year Master students, allowing them to attend supplementary courses and training visits at participating institutions. Students will receive an experienced faculty mentor who will advise and guide them at this educational stage. SMARTSTART 2 provides fully funded positions for pre-PhD students. At the start of the program, these students will have already obtained their Master´s degree and are in the process of selecting a PhD project. SMARTSTART 2 allows them to elaborate their own PhD proposal as a collaborative project between two labs. This comprises exchange visits as well as voluntary attendance of lectures and courses offered by participating institutions. Both SMARTSTART programs will commence the next round in the winter term 2018/19. The Deadline for application is Wednesday, February 28, 2018. More information can be found on our website: www.smartstart-compneuro.de<http://www.smartstart-compneuro.de/> Best regards, Kathrin Hebert -- Coordination Office Smart Start - Joint Training Program in Computational Neuroscience 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 9593 mail: smartstart(a)fz-juelich.de<mailto:smartstart@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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