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Tenure-Track Position at University of Maryland: Neurobiology/Biophysics
by Daniel A. Butts Oct. 13, 2017

Oct. 13, 2017

The Department of Biology at the University of Maryland, College Park invites applications for a tenure track Assistant Professor in Neuroscience and/or Biophysics. We seek outstanding candidates taking innovative experimental and/or theoretical/computational approaches to address major questions that complement and/or integrate the interests of our sensory neurobiology and biophysics groups. Applicants must have a doctoral degree and should have developed, or have demonstrated the potential to develop, an outstanding research program that garners competitive extramural funding. Postdoctoral experience is preferred. Applicants also must exhibit a commitment to excellence in teaching and mentoring, including working with students and groups from underrepresented backgrounds. The University of Maryland and Department of Biology are committed to increasing the diversity of the campus community. Candidates who have experience working with a diverse range of faculty, staff, and students, and who can contribute to the climate of inclusivity are encouraged to identify their experience in these areas. To Apply: https://ejobs.umd.edu The University of Maryland, College Park is the flagship campus of the University of System of Maryland and is one of the most rapidly advancing public research universities in the country. We have close interactions with the University of Maryland Medical School in Baltimore and our close proximity to Washington D.C. facilitates interactions with researchers at an extraordinary range of institutions (e.g., NIH, NIST, HHMI). The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions. -------------------------------- Daniel A. Butts, Ph.D. Associate Professor Department of Biology and NACS University of Maryland, College Park Biosciences Research Building 1118 (301) 405-9890 http://neurotheory.umd.edu

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NEST Conference 2017 --- Register NOW!
by Hans Ekkehard Plesser Oct. 13, 2017

Oct. 13, 2017

Dear colleagues! It is a great pleasure to invite current and potential users of NEST, the Neural Simulation Tool (http://www.nest-simulator.org) to 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: - 1 November 2017: Deadline for submission of contribution and travel grant applications - 15 November 2017: 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! Hans Ekkehard Plesser President The Neural Technology Simulation Initiative http://www.nest-initiative.org -- Dr. Hans Ekkehard Plesser Associate Professor Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

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Two open faculty positions; U Colorado Medical School
by Zylberberg, Joel L Oct. 12, 2017

Oct. 12, 2017

Dear Colleagues, The Dept. of Physiology and Biophysics at the University of Colorado Medical School is looking for two new faculty members in neuroscience and / or physiology, including computational neuroscience. The advert is attached. Please consider applying and / or forward this advert to colleagues who might be interested. Thanks for your consideration. Sincerely, __ Joel Zylberberg, Ph.D. Assistant Professor Department of Physiology and Biophysics University of Colorado School of Medicine www.jzlab.org<http://www.jzlab.org> CIFAR Azrieli Global Scholar, Learning in Machines and Brains program ~the neuroscience is theoretical, but the fun is real

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Postdoctoral fellowship in the neuroscience of decision-making
by Paul Cisek Oct. 11, 2017

Oct. 11, 2017

Postdoctoral fellow in the neuroscience of decision-making Department of neuroscience, laboratory of Paul Cisek Applications are invited for a postdoctoral fellowship in cognitive neuroscience, in the laboratory of Paul Cisek at the University of Montréal. Our research group studies the neural mechanisms of decision-making in humans and non-human primates using computational models of the nervous system as well as behavioral experiments, transcranial magnetic stimulation, and multi-electrode recording, and we have several ongoing collaborations involving fMRI, MEG and intracranial EEG. See www.cisek.org/pavel <http://www.cisek.org/pavel> for information on current projects and a list of sample publications. The successful applicant will lead a research project investigating real-time dynamic decision-making through simultaneous multi-electrode recordings in the basal ganglia and the prefrontal, premotor and motor cortex of non-human primates. A Ph.D. in neuroscience or related field is required, and 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 mechanisms, prepare manuscripts for publication, and participate in international conferences. For further information, please contact Dr. Paul Cisek (paul.cisek(a)umontreal.ca <mailto:paul.cisek@umontreal.ca> ). Applicants are asked to send a cover letter, curriculum vita, copies of academic transcripts, an optional statement of research interests, and the names and contact information of 2 or 3 references, to: Dr. Paul Cisek Department of neuroscience, University of Montréal C.P. 6128 Succursale Centre-ville Montréal, QC H3C 3J7, CANADA Phone: 514-343-6111 x4355 Web: www.cisek.org/pavel <http://www.cisek.org/pavel> email: paul.cisek(a)umontreal.ca <mailto:paul.cisek@umontreal.ca> Applications will be accepted until the position is filled, but preference will be given to applications received by November 30, 2017. Interviews will be possible at the Society for Neuroscience meeting (Washington DC, November 11-15, 2017)

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Postdoc positions available at University of Pittsburgh
by Runyan, Caroline A. Oct. 11, 2017

Oct. 11, 2017

Postdoctoral positions are available in the Runyan lab in the Department of Neuroscience at the University of Pittsburgh and the Center for the Neural Basis of Cognition. Our research involves dissecting inhibitory and neuromodulatory circuits across the cortical hierarchy. Our goal is to understand how changes in behavioral context and brain state shift local information processing and the transmission of information between cortical networks. We use two-photon imaging of population activity and optogenetics in head-fixed mice performing perceptual decision-making tasks. See Runyan et al., Nature, 2017 and carolinerunyan.org<http://carolinerunyan.org> for more information about our work. We are seeking individuals with experience in two-photon imaging, large-scale electrophysiology, optogenetics, and/or computational modeling. As we build our laboratory and our own approach to understanding the brain, the ideal candidates should have strongly driven scientific curiosity and problem-solving skills, as well as excellent interpersonal skills. This position offers the opportunity to participate in building a new research program, and to work in the highly collaborative, collegial environment at the University of Pittsburgh and Carnegie Mellon University. See cnbc.cmu.edu and cnup.neurobio.pitt.edu for more details. Interested candidates should send a CV, statement of research interests, and contact information for at least two references to runyan(a)pitt.edu. Caroline Runyan Assistant Professor Department of Neuroscience University of Pittsburgh Office: Langley A453, 412-383-4336 runyan(a)pitt.edu

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Postdoctoral position at the University of Rochester
by Tatiana Pasternak Oct. 10, 2017

Oct. 10, 2017

Postdoctoral position in cognitive neuroscience Postdoctoral position to study cortical circuitry underlying memory-guided visual decisions is available immediately in the laboratory of Dr. Tatiana Pasternak in the Department of Neuroscience and Center for Visual Science. The focus of the research program is on the activity of large populations of simultaneously recorded neurons across cortical network to identify on a trial-by-trial basis neural codes and network dynamics that underlie memory and comparison processes during perceptual decisions. The analysis will emphasize inter-neuronal and inter-areal interactions and synchrony as well as population decoding algorithms. Experimental approaches include array recording of spiking and LFP activity from prefrontal and extrastriate visual cortical regions of non-human primates during memory-guided sensory comparison tasks. Other approaches include reversible inactivation and microstimulation of identified cortical sites. An important component of the work is a collaboration with computational neuroscientists and developing models 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 Departments of Neuroscience, Brain & Cognitive Science, Biomedical Engineering, and Center for Visual Science University of Rochester 585 275-8668 (office)

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PhD positions at the Max Planck Research School for Neural Circuits, Frankfurt am Main, Germany
by Jochen Triesch Oct. 10, 2017

Oct. 10, 2017

8th Call for applications: International Max Planck Research School for Neural Circuits, Frankfurt am Main, Germany The International Max Planck Research School (IMPRS) for Neural Circuits was established in 2011 and offers up to ten fully-paid positions every year for talented students holding a relevant Master´s or Bachelor´s as their highest degree to perform research resulting in a PhD. The program is taught in English. The common focus of the the International Max Planck Research School (IMPRS) for Neural Circuits will be the understanding of neural circuits (from the simple to the large and complex), at all scales required to achieve this understanding. This ambitious objective will require analyses at the molecular, cellular, multi-cellular, network and behavioral levels, with the full understanding that macroscopic phenomena (spatial patterns, dynamics) can be scale-dependent, and that reductionism is not always sufficient as a method. Research areas are perception, connectomics, theoretical neuroscience, synaptic plasticity, brain dynamics, neural circuits, behavior and systems neuroscience. In the IMPRS for Neural Circuits we offer a multidisciplinary program to excellent doctoral students with backgrounds in neuroscience, mathematics, physics, computer science, (bio) chemistry, biology and medicine as well as research experience in the participating institutions of the Frankfurt Neuroscience community. Students will participate in a tailor-made educational program including research rotations and neuroscience courses but also in trainings in transferable skills as well as retreats, conferences and summer schools and lecture series. We welcome excellent students to apply to the program. Till December 1, 2017, it will be possible to apply for a position starting in the Fall of 2018. You can apply via our electronic registration system. After the deadline, the Faculty members will select around 25 students to participate in the interview symposium in Frankfurt, taking place in February 5-7, 2018. Shortly after the symposium, the students will receive a letter with an offer or rejection. More information, including Frequently Asked Questions, can be found on our website www.imprs.brain.mpg.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

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2 postdoc positions in Geometric Methods for Deep and Reinforcement Learning at RIST
by Luigi Malagò Oct. 9, 2017

Oct. 9, 2017

=========================================================== *Subject*: 2 postdoc positions in Machine Learning (1 year, renewable up to 3 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*: 20 October 2017 (applicants are encouraged to apply earlier) *Salary*: around 2190 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc- positions-in-deep-learning-and-machine-learning.html =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for 2 postdoc positions, 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 3 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-learning-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: 20 October 2017 (applicants are encouraged to apply earlier) best regards, Luigi Malagò

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero Simoncelli Oct. 9, 2017

Oct. 9, 2017

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in brain sciences. A list of relevant faculty, sorted by their primary departmental affiliation, is provided below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Neural Science (CNS) (deadline: 1 December) [http://www.cns.nyu.edu/doctoral/] * AndrÃ© A. Fenton - Molecular, neural, behavioral, and computationalaspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision-making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in CDS) - Computational models of memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition, image processing. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. Neuroscience and Physiology program, School of Medicine (deadline: 1 December) [http://neuroscience.med.nyu.edu/training-programs/graduate-program-neurosci…] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the Simons Foundation) - Neural computation and connectomics. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://www.psych.nyu.edu/programs/cp/] * Todd Gureckis - Memory, learning, and decision processes. * David Heeger (also in CNS) - fMRI, computational neuroscience, vision, attention. * Brenden Lake (also in CDS) - Computational modeling of cognition. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Gary Marcus - Origins of the human mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Center for Data Science (CDS) (deadline: 18 December) [https://cds.nyu.edu/academics/phd-in-data-science/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. Mathematics (deadline: 18 December) [http://math.nyu.edu/degree/phd/] * David Cai - Nonlinear stochastic behavior in physical and biological systems. * Aaditya Rangan - Computational neurobiology, numerical analysis. * Michael Shelley - Modeling and large-scale computation, computational visual neuroscience. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Physics (deadline: 18 December) [http://physics.as.nyu.edu/page/graduate] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, hierarchical visual processing, robotics. Economics (deadline: 18 December) [http://as.nyu.edu/econ/degree-programs/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

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Workshop announcement: The Probabilistic Brain, March 2018
by Ulrik Beierholm Oct. 8, 2017

Oct. 8, 2017

Dear Colleagues We are very pleased to invite you to an exciting 2-day workshop on *probabilistic approaches to learning, perception, and action* in the historic city of Durham in the North-East of England: see the workshop website <https://sites.google.com/view/tpbw2018/>. The workshop will take place on *March 23rd-24th 2018*, and registration is *open now*. Speakers: Vikranth Rao Bejjanki, Hamilton College ● Nick Chater, University of Warwick ● József Fiser, Central European University ● Aldo Faisal, Imperial College London ● Samuel Gershman, Harvard University ● Janneke Jehee, Donders Institute ● Rebecca Lawson, UCL / Cambridge ● Laurence T Maloney, NYU ● Pascal Mamassian, Ecole Normale Supérieure ● Christopher Summerfield, University of Oxford ● Jane Wang, Google DeepMind The workshop is supported by the Experimental Psychology Society and Durham University. For full info on the workshop format and topics, our location and travel, and Registration, please see the workshop website <https://sites.google.com/view/tpbw2018/>. Hope to see you there, The organisers, Marko Nardini ● Ulrik Beierholm ● Maria Olkkonen (Durham University) ● Tessa Dekker (UCL) ● Laurence T Maloney (NYU)

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[jobs] Assistant and Associate Professor positions in Bio- and Neural Robotics in Odense
by Poramate Manoonpong Oct. 8, 2017

Oct. 8, 2017

The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, invites applications for Assistant or Associate Professor with research focus in Neural Robotics, Bio-inspired or Biorobotics, available from January 2018 and based in Odense. The positions are based in the Embodied Systems for Robotics and Learning (ESRL) unit and will complement the unit's existing research activities: - biorobotics; - neural models of control for embodied robots; - bio-inspired / neural learning mechanisms; - cross-modal and multi-modal sensory interpretation; - development of bio-inspired and embodied robotic hardware; - bio-inspired collective behaviour in robot groups; - embedded electronics design and research; - development and use of robotic educational tools; - morphological computation and the role of embodiment. Duties comprise research and teaching, student project supervision and acquisition of external funding. If you have a Ph.D. in a computing, mathematical, computational neuroscience or robotics-related discipline and a research track record including strong interdisciplinary work in one or more of the topics above, send us an application: for more detail and application form see [1]. The closing date is the 27th of October, 2017. For more information about these positions, please contact Professor John Hallam <john(a)mmmi.sdu.dk<mailto:john@mmmi.sdu.dk>>. [1] https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?Po…

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M-GATE: 15 PhD positions available in leading labs across Europe on the physiology and circuits of memory [WITH FIXED LINK; APOLOGIES]
by Francesco Battaglia Oct. 6, 2017

Oct. 6, 2017

M-GATE is a network of 8 leading European institutions funded by a Marie Sklodowska-Curie Action of the European Commission, for 15 PhD students Healthy brain physiology, as well as diseases of memory circuits such as epilepsy and Alzheimer will be studied. Detailed circuit analysis approaches in animals will be combined with work on human subjects and theoretical approaches. New experimental and analytical technologies will be developed and deployed, also in collaboration with industrial partners. Positions are available with the following PIs: - Dr. Francesco Battaglia (network coordinator)/Dr. Lisa Genzel Donders Institute, Radboud University Nijmegen, The Netherlands; - Dr. Clifford Kentros; NTNU, Trondheim, Norway - Dr. Hugo Spiers; University College London - Dr. Christophe Bernard Université d’Aix/Marseille, France - Dr. Pim Drinkenburg; Janssen Pharmaceutica BV, Beerse, Belgium - Dr. Alessandro Treves; SISSA International School for Advanced Studies, Trieste, Italy - Dr. Nachum Ulanovsky; Weizmann Institute, Rehovot, Israel - Dr. Misha Tsodyks; Weizmann Institute, Rehovot Israel - Dr. Rosa Cossart; Institut de neurobiologie de la Mediterranée, Marseille France We will offer to the students a training program including events at all participating institutions, including theoretical courses, experimental methodologies and transferable skills. The details of the network and all projects are available at our website http://www.mgate.eu <http://www.mgate.eu/> requirements and application procedures vary by PhD project, as described in the website. Please contact the project PIs (addresses available on the website) for questions on the project. General inquiries may be directed to the network coordinators at info(a)mgate.eu <mailto:info@mgate.eu>. In general, we will give full consideration to applications received by Nov., 30 2017.

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Two Post-doctoral positions available in Rome
by Aldo Genovesio Oct. 6, 2017

Oct. 6, 2017

Two ERC funded Post-doctoral positions in Primate Neurophysiology are available in the laboratory of Aldo Genovesio at the Medical School of the Sapienza University of Rome, Italy. Both positions are of one year renewable for at least other two years. We are looking for candidates with a PhD in the field of neuroscience, statistics, biomedical engineering, computer science, or related fields with a background in training animals, recording and analysis of neuronal data or in computational neuroscience. Experience with data analysis, programming (C/C++ and Matlab), and a quantitative approach are important. One position is for a candidate with previous experience in training animals, recording and analysis of neuronal data. The other position is for a candidate with a background in computational neuroscience or computer science. He is expected to analyze the activity of large sets of single cells of simultaneously recorded neurons and local fields and to develop computational models of the data. The ERC project investigates using multi-site electrode arrays the neural activity underlying prediction, categorization, and monitoring of self and others goals actions in the prefrontal cortex during social interaction with a focus on the Frontal Pole cortex, a prefrontal area only recently investigated at the single cell level in our past studies. Inquiries should be addressed to genovesiolab(a)gmail.com. All interested candidates should send a CV, a brief description of research interests for a preliminary evaluation and names and contact of 2 references to genovesiolab(a)gmail.com. The start date is flexible. The salary will be determined based on the experience. Prof. Aldo Genovesio Department of Physiology and Pharmacology Sapienza University of Roma Piazzale Aldo Moro 5; 00185 Roma E-mail: aldo.genovesio(a)uniroma1.it

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AoN Brainhack Warsaw 2017 - call for participants - early bird registration till 15.10
by Daniel Borek Oct. 6, 2017

Oct. 6, 2017

*AoN Brainhack Warsaw 2017* *November 17-19, 2017* *University of Warsaw, Warsaw, Poland* *— The early bird registration extended to 15th October2017 — * On the weekend of *17-19th November 2017*, the first edition of AoN Brainhack Warsaw will take place. During this three-day event dedicated to students and PhD students, we will work in teams on* neuroscience-related projects*. The aim of the event is to meet new, enthusiastic researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community ( <https://gigascience.biomedcentral.com/articles/10.1186/s13742-016-0121-x>Craddock et al., 2016) <https://gigascience.biomedcentral.com/articles/10.1186/s13742-016-0121-x>. Attendees of various backgrounds are welcome to join! Below you could see list of projects which will be realised during our three day event: 1. Functional connectivity research: can we find a common ground? <https://brainhackwarsaw.github.io/#connectivity> 2. Detecting trypophobia triggers <https://brainhackwarsaw.github.io/#connectivity%23trypophobia> 3. Development of video game for studying joint action dynamics <https://brainhackwarsaw.github.io/#connectivity%23game> 4. Training a human-like movie evaluation system based on the semantic features of the storylines <https://brainhackwarsaw.github.io/#connectivity%23movies> 5. Hypothesis-driven white matter tractography from T1-weighted MRI images <https://brainhackwarsaw.github.io/#connectivity%23whitematter> 6. One channel EEG sleep staging with open source and open hardware NeuroOn sleep mask <https://brainhackwarsaw.github.io/#connectivity%23neuroon> 7. Building a brain-ageing biomarker using machine learning <https://brainhackwarsaw.github.io/#connectivity%23ageingbiomarker> 8. Building and using the “FlyPi”: the 3D-printed Neurobiology Lab <https://brainhackwarsaw.github.io/#connectivity%23flypi> *‘Early bird’* registration for project participants,* closes on 15th October 2017*. The applications will be reviewed and the notification of acceptance will be sent to the applicants until 20th October2017. We welcome everyone at the AoN Brainhack Warsaw 2017 event. We would like to prepare the equipment and the clusters properly before the event, therefore we are asking the participants to register in advance and choose the projects of their preference. We will do our best to make sure that everyone can take part in the project they like, and that the projects are well prepared for the participants. In any case, we welcome everyone to come, watch the event and help us at the first Brainhack in the history of AoN conference! A registration fee of 25EUR (or 100PLN) will be requested upon acceptance. The registration fee will be spent on the catering during the event. To register please visit our page and learn more about the Brainhack Warsaw! https://brainhackwarsaw.github.io/ <https://brainhackwarsaw.github.io/> We looking forward to see you in Warsaw! *The AoN Brainhack Warsaw 2017 team*

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M-GATE: 15 PhD positions available in leading labs across Europe on the physiology and circuits of memory
by Francesco Battaglia Oct. 6, 2017

Oct. 6, 2017

M-GATE is a network of 8 leading European institutions funded by a Marie Sklodowska-Curie Action of the European Commission. We offer to 15 promising young researchers the opportunity to get a world-class doctoral training and do cutting edge research on memory circuits. Healthy brain physiology, as well as diseases of memory circuits such as epilepsy and Alzheimer will be studied. Detailed circuit analysis approaches in animals will be combined with work on human subjects and theoretical approaches. New experimental and analytical technologies will be developed and deployed, also in collaboration with industrial partners. Positions are available with the following PIs: - Dr. Francesco Battaglia (network coordinator) Donders Institute, Radboud University Nijmegen, The Netherlands; - Dr. Rosa Cossart; Institut de neurobiologie de la Mediterranée, Marseille France - Dr. Hugo Spiers; University College London - Dr. Christophe Bernard Université d’Aix/Marseille, France - Dr. Pim Drinkenburg; Janssen Pharmaceutica BV, Beerse, Belgium - Dr. Clifford Kentros; NTNU, Trondheim, Norway - Dr. Alessandro Treves; SISSA International School for Advanced Studies, Trieste, Italy - Dr. Nachum Ulanovsky; Weizmann Institute, Rehovot, Israel - Dr. Misha Tsodyks; Weizmann Institute, Rehovot Israel We will offer to the students a training program including events at all participating institutions, including theoretical courses, experimental methodologies and transferable skills. The details of the network and all projects are available at our website http://www.mgate.eu <http://www.maget.eu/>. Job requirements and application procedures vary by PhD project, as described in the website. Please contact the project PIs (addresses available on the website) for questions on the project. General inquiries may be directed to the network coordinators at info(a)mgate.eu <mailto:info@mgate.eu>. In general, we will give full consideration to applications received by Nov., 30 2017.

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Open position: Expert in machine learning and high-performance computing
by Daniel Zysman Oct. 5, 2017

Oct. 5, 2017

The Department of Brain and Cognitive Sciences seeks an expert in machine learning and high-performance computing to collaborate on cutting edge research on neuroscience, perception, cognition, and artificial intelligence. The department is a world leader in computational approaches to brain science, and is home to state-of-the-art computing resources as well as the Center for Brains, Minds and Machines, a multi-institutional NSF Science and Technology Center dedicated to the study of intelligence. Salary will be competitive with industry. To apply: https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails.do… <https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails.do…> For more information about our department: https://bcs.mit.edu/ <https://bcs.mit.edu/> Job Description: PROGRAMMER/SOFTWARE DEVELOPMENT ENGINEER/COMPUTATIONAL AND MACHINE LEARNING SPECIALIST, Brain and Cognitive Sciences, to help tackle challenging problems in high-performance computing methods and systems, machine learning, management of large datasets, and artificial intelligence. Responsibilities include helping researchers translate computational algorithms into efficiently functioning (especially parallelized and GPU optimized) code; assisting with installation and implementation of third-party tools; staying up-to-date with cutting-edge computational techniques; providing guidance for storage and management of large data sets; developing and maintaining online courses for computing resources, running in-person tutorials on specific software packages/tools, and helping transition users to new computing tools; providing educational support and training to users of the departmental computing cluster; and monitoring cluster usage and resolving problems. Job Requirements: Bachelor’s degree (advanced degree preferred) in a scientific field or computer science; at least four years’ experience in scientific high-performance (cluster) computing; familiarity with Slurm and Lustre; broad computational background with knowledge of Unix, HPC algorithms, GPU computing, programming models, debuggers, and performance tools; software development experience, especially Python and MATLAB, but also R, Lua, JavaScript, etc.; knowledge of high-level APIs for HPC computing; expertise installing and maintaining third-party software in an HPC environment and with container technology, especially in the context of computational reproducibility; familiarity with mathematical algorithms for high-performance computing, use or design of HPC profiling or optimization tools, and deep neural networks; ability to work effectively with scientists and engineers; initiative, tact, and judgment in developing solutions for users; excellent interpersonal skills and ability to communicate effectively, orally, in writing, and via live presentations; demonstrated ability to assume leadership roles, grasp complex problems, and develop solutions; and extensive background in high-performance computing. MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

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PhD positions at the Univ. of Leicester (for UK/EU candidates only)
by Quian Quiroga, Rodrigo (Prof.) Oct. 5, 2017

Oct. 5, 2017

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

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COSYNE 2018: Call for workshop proposals and Meeting announcement
by Tomas Hromadka Oct. 5, 2017

Oct. 5, 2017

==================================================== Computational and Systems Neuroscience 2018 (Cosyne) MAIN MEETING 01 - 04 March 2018 Denver, Colorado WORKSHOPS 05 - 06 March 2018 Breckenridge, Colorado www.cosyne.org ==================================================== IMPORTANT DATES NEW Workshop pre-proposal deadline: 14 October 2017 NEW Workshop proposal deadline: 10 November 2017 Abstract submission opens: 10 October 2017 Abstract submission deadline: 20 November 2017 ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. COSYNE SPEAKERS Tim Behrens (Oxford) Josh Berke (UCSF) Tiago Branco (UCL) Jessica Cardin (Yale) Claudia Clopath (Imperial) Marlene Cohen (Pittsburgh) Iain Couzin (Max-Planck) Carina Curto (Penn State) Ann Graybiel (MIT) Vivek Jayaraman (Janelia) Mate Lengyel (Cambridge) Joni Wallis (Berkeley) Byron Yu (CMU) When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General Chairs: Ilana Witten (Princeton) and Eric Shea-Brown (U Washington) Program Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Workshop Chairs: Laura Busse (LMU) and Ralf Haefner (U Rochester) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Publicity Chair: Il Memming Park (Stony Brook) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------- PRE-PROPOSALS In an effort to coordinate submissions, the organizers are encouraged to submit a pre-proposal by *14 October 2017.* Pre-proposals will be shared among submitters. Pre-proposals are not mandatory but workshops with a pre-proposal will have priority. The organizers may submit the full proposal by its deadline. A series of workshops will be held after the main Cosyne meeting (www.cosyne.org) The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at Cosyne.org -> Workshops). Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a single person should not speak in more than one of the Workshops taking place on the same day. WORKSHOP DETAILS - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8.00-11.00 AM) and afternoon (4.30-7.30 PM) sessions. - Workshops will be held at Breckenridge, CO, a ski resort located 100 miles (approximately two hours) from the Denver International Airport. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS Deadline for pre-proposals: 14 October 2017 Deadline for proposals: 10 November 2017 Format: plain text only, please no attachments, email to workshops [at] cosyne.org (Laura Busse, Ralf Haefner) PRE-PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs 2 days, please explain why. - A brief resume of the workshop organizer along with a short list of workshop-relevant publications (about half a page total). FULL PROPOSALS should include the list of confirmed speakers in addition to components required for a pre-proposal. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. WORKSHOP COSTS Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complementary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE WORKSHOP QUESTIONS workshops [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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High performance computing workshop at SFN 2017
by Ted Carnevale Oct. 4, 2017

Oct. 4, 2017

Seats are still available in the workshop Using the Neuroscience Gateway Portal (NSG) for Parallel Simulations Saturday, Nov. 11 from 9 AM to noon which we are presenting in downtown Washington, DC as a satellite to this year's SFN meeting. NSG eliminates most technical and adminstrative barriers to using high performance computing resources, and even gives away free CPU time on parallel supercomputers. Software currently installed on NSG includes BluePyOpt, Brian, CARLsim, Freesurfer, GENESIS, MATLAB, MOOSE, NEST, NEURON, PyNN, and the Virtual Personalized Multimodal Connectome Pipeline. At this workshop you will learn how to use this NSF-supported resource in your computationally-intensive modeling and data analysis projects. You will also hear presentations from several research teams about how they are using NSG in their own research. For a description of the workshop and its application form, see http://www.neuron.yale.edu/neuron/static/courses/nsg2017/nsg2017.html The registration deadline is Friday Oct. 28. --Ted

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Postdoctoral Position in Computational Approaches to Rodent Social Neurophysiology
by Liu, Robert C Oct. 4, 2017

Oct. 4, 2017

Postdoctoral Position in Computational Approaches to Rodent Social Neurophysiology Yerkes National Primate Research Center and the Department of Biology Emory University, Atlanta, Georgia The laboratories of Robert Liu, Gordon Berman and Larry Young at Emory University are accepting applications for a postdoctoral scientist working in a collaborative team to use quantitative behavioral and electrophysiological methods to study pro-social interactions in rodents. The research combines recent advances in computational ethology (Berman et al, Interface, 2014) with in vivo electrophysiology and optogenetics in socially interacting prairie voles (Amadei, Johnson et al, Nature, 2017), a premier rodent model for the formation of social bonds (Lim et al, Nature, 2004). Our NIH-funded project's goal is to use prior behavioral and neurophysiological activity to build predictive models of social dynamics leading to a pair bond. PhD required. We are looking for a candidate with a strong background in experimental, in vivo extracellular electrophysiology (ideally in rodents) and computational data analysis and scientific programming. Training in the neurobiology of social behavior, social information processing, sensorimotor integration, and/or the neural circuitry for reward and reinforcement would also be viewed favorably. Emory University and the Yerkes National Primate Research Center have a rich, collaborative neuroscience community (http://biomed.emory.edu/PROGRAM_SITES/NS/) especially in the areas of translational social neuroscience (http://ctsn.emory.edu/) and computational neuroscience (http://compneurosci.college.emory.edu/) Research at Emory in the neurobiology of social behavior extends across many labs from the molecular level through the organismal level in animal models and humans, with a particular interest in the functions of oxytocin (http://www.oxytocin.emory.edu/) Ongoing efforts include both elucidating normal processes and ameliorating deficits found in human conditions, like autism spectrum disorder. To inquire or apply, please email robert.liu(a)emory.edu<mailto:robert.liu@emory.edu>. Review of applications will begin immediately and continue at least through Oct. 31, or until the position is filled. Applications should include a CV, the names and full contact information of 3 references, and at least one representative publication. Emory University is an equal employment opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. References: Amadei EA*, Johnson ZV*, Kwon YJ, Shpiner AC, Saravanan V, Mays W, Ryan S, Walum H, Rainnie D, Young LJ, Liu RC (2017). Dynamic corticostriatal activity biases social bonding in monogamous female prairie voles, Nature, 546(7657):297-301. doi:10.1038/nature22381<http://www.nature.com/articles/doi:10.1038/nature22381> Berman GJ, Choi DM, Bialek W, Shaevitz JW (2014). Mapping the stereotyped behaviour of freely moving fruit flies. Journal of the Royal Society Interface, 11(99):20140672. doi:10.1098/rsif.2014.0672<http://doi.org/10.1098/rsif.2014.0672> Lim, MM, Wang Z, Olazábal DE, Ren X, Terwilliger EF, Young LJ (2004). Enhanced partner preference in promiscuous species by manipulating the expression of a single gene. Nature, 429(6993):754-757. doi:10.1038/nature02539<http://www.readcube.com/articles/10.1038/nature02539> Robert C. Liu, PhD Associate Professor Department of Biology Emory University O. W. Rollins Research Center Rm 2131 1510 Clifton Rd NE Atlanta, GA 30322 USA Phone: +1 404-727-5274 Email: robert.liu(a)emory.edu<mailto:robert.liu@emory.edu> Lab Website<http://www.biology.emory.edu/research/Liu/html/index.php> ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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Quantification of the Function of Criticality: Call for Contributions
by Nergis Tomen Oct. 4, 2017

Oct. 4, 2017

[Apologies if you received this message more than once] Dear Colleagues, We are calling for abstracts for contributions towards a publication on *The Functional Role of Critical Dynamics* *in Neural Systems*. The collection will be published by Springer and will be free of charge for the authors. The main aim of this collection will be to bring together research and ideas linking together criticality in the cortex, dynamical and emergent network states and the putative role such states may serve in the way of function and computational advantages. The intended format of the book is a collection of short and concise chapters focusing around this central theme, in order to allow for many different perspectives to be represented. If you would like take part in this publication, please send an extended abstract summarizing your planned contribution, following the guidelines below, to A. Janssen (*ajanssen**(a)neuro.uni-bremen.de* <ajanssen(a)neuro.uni-bremen.de>) who will be coordinating the communications by *October* *25th*. For details of the planned contents and structure of the full contributions, as well as our expected timeline, please see below. Full papers will be expected by the end of this year. Best wishes, Udo Ernst & Nergis Tomen & Michael Herrmann *Guidelines for your contribution * We are aiming for a publication that will give a broad overview of the state of research linking neuronal avalanches and self-organized criticality (SOC) to neural function and information processing (for the related concepts please see e.g. [Bak, Tang and Wiesenfeld, 1987] and [Beggs and Plenz, 2003]). Due to the computational advantages of simple systems operating close to a phase transition (e.g. [Langton, 1990]), there has been a growing interest in the neuroscience community in the recent years to tackle the question “Can critical dynamics be useful for the brain?”. And this was the central theme of the *Excellence Workshop "Dynamical network states, criticality and cortical function"* that took place on 25-28 March 2017 in Hanse-Wissenschaftskolleg, Delmenhorst, Germany ( *http://www.h-w-k.de/index.php?id=2240* <http://www.h-w-k.de/index.php?id=2240>). In light of the positive feedback and interest we received from the community, we are now aiming to bring together different ideas and approaches related to critical dynamics and its potential functional role in cortical information processing, and we are looking forward to your contributions. We will have a two-stage submission process for the authors. The first stage is to submit an extended abstract that can be of any format, but should include a title and contact information of the authors and should begin with a very brief summary of the main message of the contribution. As a guideline it is suggested that the length of the extended abstract is 1 to 4 pages and that it contains 1 to 4 figures. Please submit your abstract to *ajanssen**(a)neuro.uni-bremen.de* <ajanssen(a)neuro.uni-bremen.de> by *October 25th*. Full papers will be requested before the end of this year. The final papers are expected to include an easy-to-follow introduction, one or more well-evidenced claims and a substantial discussion section. The full papers are limited in size to 15-20 pages each (each page about 450 words), including figures and references. There will be LaTeX and MS Word templates provided by Springer for the full contributions. Each contribution will be peer-reviewed by at least 2 colleagues before being published. Each author of a contribution is also expected to act as a reviewer for 2-3 other contributions. We plan to include reviewers from outside the field to provide 'critical' input. Realistically, we estimate that the review process will start in in winter 2017 and end in spring 2018. We expect the submissions to present original research by the authors.This can include new results or review of past research by the authors (for review papers, it is allowed to include research by other persons where suitable, as long as it does not constitute a major part of the contribution). We believe it is important for contributions to put forward a vision or perspective on criticality research. It is important to make connections to the functionality of the concepts described in your contribution (e.g. how do the properties observed in your model/experiments relate to information transfer/processing, behavioural performance, computation, communication and configuration, etc.). Where applicable, it is allowed and encouraged to talk about predictions and theories about how the contents of a contribution may relate to active computation in the cortex, what practical advantages and biological mechanisms they may be linked to as well as what direction future research should take to answer such questions. We encourage the authors to actively try to draw connections between their own research, research of other scientists in their field as well as outside of their field (e.g. discussing ties with experimental results in a theoretical contribution and vice versa). Thank you for considering these guidelines.

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Start-up EEG hardware and data analytics roles at start-up
by Brian Murphy Oct. 4, 2017

Oct. 4, 2017

BrainWaveBank's mission is to transform how cognitive illness is diagnosed and treated so that people can live longer, healthier, more fulfilling lives. Our 16-channel EEG headset is designed for home-use, and is supported by a platform of tablet-based games and cloud-based analytics to track cognitive performance and health. We are now expanding, and hiring a number of software, hardware and scientific roles into our Dublin and Belfast offices. We are seeking exceptional candidates for these roles (see links below for full details): - Senior EEG Research Engineer, Dublin • Full-time - EEG Research Engineer, Dublin • Full-time - Machine Learning Engineer, Dublin • Full-time - Cognitive Neuroscientist, Dublin • Full-time - EEG Hardware Design Lead, Belfast • Full-time - Full Cloud Stack SW Engineer, Belfast • Full-time - Senior Mobile Developer (Android), Belfast • Full-time - Trial Manager, Belfast • Full-time View full details of the roles and apply through: https://www.indeedjobs.com/brainwavebank/_hl/en_GB Learn more about the team and mission: http://www.brainwavebank.com -- Dr. Brian Murphy Co-Founder and Chief Scientific Officer BrainWaveBank Ltd M: +44 7716 686654 M: +353 86 0666732 E: brian(a)brainwavebank.com Twitter: @brainwavebank www.brainwavebank.com The information contained in this email transmission is confidential and may be privileged. If you are not the intended recipient, any use, dissemination, distribution, publication, or copying of the information contained in this email is strictly prohibited. If you have received this email in error, please immediately notify us by telephone at +44 028 9264 6600 or email info(a)brainwavebank.com and delete the email from your system. Thank you for your co-operation. BrainWaveBank Ltd is a limited company registered in Northern Ireland. Registered number: NI628481. Registered office: 32-36 Dublin Road, Belfast BT2 7HN.

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Postdoc/programmer position at the Okinawa Institute of Science and Technology
by Erik De Schutter Oct. 4, 2017

Oct. 4, 2017

The Computational Neuroscience unit (https://groups.oist.jp/cnu) at the Okinawa Institute of Science and Technology, Japan has an opening for a postdoctoral researcher or technician in software development and computational modeling of stochastic neuronal reaction-diffusion processes. Initial duration is two years with an option to extend. The hired postdoctoral researcher or technician is expected to make valuable contributions to the STEPS project (http://steps.sourceforge.net) in two ways: 1) by researching molecular neuronal processes and designing novel techniques and routines for accurate computational modeling of such systems, and 2) contributing to realistic applications of the new techniques in biological modeling studies. In performing these tasks, the candidate is expected to contribute to publications that are either based on theory and computational techniques, or geared more towards answering real biological questions through computational modeling. As such the ideal candidate will have a scientific background but also possess good programming skills. There will be many opportunities to interact with other STEPS developers in our lab and also other researchers working on related cerebellar projects, and also to collaborate on STEPS development with the Blue Brain Project, EPFL, Geneva. Competences: For the postdoctoral position a recent PhD is required in a relevant discipline such as neuroscience, molecular biology, biophysics, biochemistry, and for a technician a masters degree is required in a similar discipline or computer science. For either position, we require a talented programmer with experience in C++ and Python. In satisfying these criteria, it is expected that the candidate has some experience of modeling neuronal or other biological processes computationally, but this is not essential if the candidate has a strong enough interest in moving into the field. Fluent English conversation and writing skills are required. Benefits / Offer: A competitive salary and relocation package are offered. This an ideal position to gain experience in a prominent computational neuroscience lab. Contributions of technicians are honored by authorship on relevant publications. Please contact Prof. Erik De Schutter (erik(a)oist.jp) for inquiries.

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Postdoctoral position in computational neuroscience at UCSD
by Maxim Bazhenov Oct. 3, 2017

Oct. 3, 2017

Applications are invited for post-doctoral research position in the laboratory of Dr. Maxim Bazhenov (http://www.bazhlab.ucsd.edu/) at the University of California, San Diego to study role of sleep in memory and learning. The ultimate goal of the project is to understand how the interaction among brain areas during sleep leads to consolidation of memory for recent learning and how sensory or electrical stimulation can enhance memory consolidation. This project involves close collaboration with several experimental laboratories. The successful candidate will be responsible for the design of the anatomically realistic brain network models based on experimental data. These models will be applied to understand network dynamics that are involved in the processes of memory consolidation, to design optimal stimulation approaches, to guide data analysis and to make predictions for future experimental studies. Qualified applicants are expected to have experience in computational/theoretical neuroscience and neural modeling. Programming experience with C/C++ is required. Knowledge of PYTHON and MATLAB is a significant plus. 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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APA Technology, Mind, & Society Conference - Submissions due Oct 20
by Jeff Krichmar Oct. 1, 2017

Oct. 1, 2017

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

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Postdoc in computational neuroscience of consciousness
by Srivas Chennu Sept. 30, 2017

Sept. 30, 2017

In the School of Computing at the University of Kent (UK), we are seeking to recruit a Research Associate to work on the computational neuroscience of consciousness. This post is part of the EPSRC project "A Computational Prototype for Electroencephalographic Brain Connectomics" awarded to Dr. Srivas Chennu. This exciting project sits at the interface of signal processing, machine learning and neuroscience. More information is available at the link below: https://www.cs.kent.ac.uk/people/staff/sc785/mohawk.html This role will involve: • Develop a computational prototype for electroencephalographic brain connectomics for discriminating states of awareness and use real datasets and develop simulations to test and validate the prototype. • Working with the PI, interact with collaborators at partner sites to explore deployment of the prototype at the bedside of patients with disorders of consciousness • Communicate and disseminate project outcomes in academic publications, scientific conferences, technical reports, web-based platforms and social media You will play a key role in this project, focusing on the development of the software prototype. In addition to working closely with Dr. Chennu, you will interact regularly with clinicians and neuroscientists at the Universities of Cambridge and Liége. Both partners have made available a large dataset of EEG acquired from patients and controls, which will be used to test and validate the prototype to be developed here. You will be supported in your role by Dr. Chennu, in addition to PhD students in the research group, and will be able to access the broad-ranging expertise available across other members of the Data Science group and the School of Computing. This is a fixed term post (to start in Jan 2018, date negotiable) and will provide the successful candidate with a rich collaborative environment: it is positioned within the recently formed Data Science group at the University of Kent, and will involve close collaboration with external partners at the Universities of Cambridge and Liège (Belgium). To succeed in this role you will: • A PhD in Computer Science/Neuroscience, or be near completion • Experience of EEG/MEG Signal Processing, Machine Learning in Neuroscience and MATLAB and/or Python in Neuroscience • Experience of working in a research environment and the ability to liaise with other external partners *The School of Computing* at Kent is a welcoming and supportive environment that has recently been recognised with a Bronze Athena SWAN award. We are a well-balanced, inclusive and diverse community that aims to further enhance our achievements and reputation in teaching, research and innovation. Start date for applications: 29 September 2017 Closing date for applications: 05 November 2017 Interviews are to be held: 29 November 2017 Please see the link below to view the full job description and also to apply for this post. If you require further information about this post/project please contact the PI, Dr. Srivas Chennu at sc785(a)kent.ac.uk. For any questions regarding the application process please contact The Resourcing Team on jobs(a)kent.ac.uk quoting ref number: STM0847 https://www11.i-grasp.com/fe/tpl_kent01.asp?s=4A515F4E5A565B1A&jobid=41306, 5425238748&key=50937013&c=223465364822&pagestamp=sewzjjuhsdmqkvijvz

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Post-doctoral Research Scientist in Cochlear Implant Research, Psychoacoustics and Virtual Acoustics
by Seeber, Bernhard Sept. 29, 2017

Sept. 29, 2017

Dear List, we are inviting applications for a post-doctoral research scientist to join our team in cochlear implant research, psychoacoustics and/or virtual acoustics. Main responsibilities are: - Research on binaural hearing and auditory scene analysis with normal hearing listeners and/or users of cochlear implants and/or - Development of techniques for and experiments in interactive audio-visual virtual reality - Development of listening tests and statistical analysis of the results - 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. We offer... you the opportunity to join an interdisciplinary team, to work with up-to-date technical equipment including an anechoic chamber hosting a virtual reality system, and to learn about the latest methods in hearing research. 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 find further information at www.aip.ei.tum.de. Employment is according to the state employees salary scheme (TV-L/E13) and is initially for 1 year with the option for extension. 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 also 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 stating research interests preferably by email no later than 31 October 2017 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. For further information about the post, including qualification requirements, please visit www.aip.ei.tum.de. Kind regards, Bernhard Seeber -- DAGA Conference Munich, 19.-22. March 2018 http://2018.daga-tagung.de/ Note: Abstract submission deadline: 01.11.2017 Prof. Dr.-Ing. Bernhard U. Seeber Professor of Audio Information Processing Dept. of Electrical and Computer Engineering Technical University of Munich Arcisstrasse 21 D-80333 Munich, Germany Office: +49 89 289-28282 Fax: +49 89 289-28211 Mobile: +49 (0)174 928 6338 Visitors: Theresienstrasse 90, building N5, room N6504 Web: www.aip.ei.tum.de www.bseeber.de

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PhD Studentship in Computer Science -- University of Surrey, UK
by a.gruning＠surrey.ac.uk Sept. 29, 2017

Sept. 29, 2017

% PhD Studentship in Computer Science % Studentship start date: January 2018 % Application deadline: September 30, 2017 # Funding amount Fee waiver and a stipend of £16,000 per annum for a Home (UK/EU) student # Position Summary Applications are invited for a cutting-edge 3-year Ph.D. project in the Department of Computer Science, University of Surrey, UK in a number of areas, including machine learning especially deep learning and neural networks, complex systems, and evolutionary computation, with application to biomedicine, transport, security and design optimisation. Applications are particularly welcome to one of the following highlighted projects: 1. Neural networks for biomedicine. The project will focus on constructing a framework for the formulation of bio-inspired learning rules for deep learning neural networks. Its aim is to develop a mathematical and conceptual framework within which bio-inspired learning algorithms can be formulated clearly and concisely for ease of their application, understanding, and generalisation. This project will build upon an ongoing project, namely the Human Brain Project (HBP), a multi-billion Flagship project funded by the EU Horizon 2020. This project area will be co-supervised by Dr Clive Cheong Took and Dr André Grüning. 2. Modelling and controlling the dynamics and time evolution of complex systems. The aim of this PhD is to develop a computational framework for maximising the effect of external interventions in a complex system, and do so in a predictable and trusted manner. Such systems include: transportation networks; social networks; multi-modal patient care systems; social-ecological systems; and many others where there are no single points of control or failure. The core objective is to bring together formal verification and machine learning and develop approaches that allow model checking and scenario appraisal in complex systems. This project area will be co-supervised by Dr Sotiris Moschoyiannis and Dr Clive Cheong Took. For more about the NICE group, see http://www.surrey.ac.uk/cs/research/nice. # Department of Computer Science The Department of Computer Science at the University of Surrey, within the Faculty of Engineering and Physical Sciences, has an international reputation for research and teaching. Our research excellence is reflected from the fact that Surrey’s research in computer science has been consistently ranked World Top 150 and UK Top 10 in the SJTU ARWU Subject Ranking in Computer Science since 2012. Similarly, Surrey’s Computer Science subject is ranked at 6 th position in the UK according to the latest Guardian University Guide 2018, which focuses more on teaching excellence. Research in the Department is focused on two main areas: Nature Inspired Computing and Engineering (NICE) and Secure Systems. The NICE group is internationally leading in the area of evolutionary computation, machine learning, brain-inspired computing and complex systems with application to optimisation, data analytics, image processing, swarm robotics, healthcare and bioinformatics. The Secure Systems 1 International (non-UK/EU) students are also eligible to apply, but will be expected to bring additional funding to cover the difference (currently £14,815 per year) between UK/EU and international fees: see https://www.surrey.ac.uk/postgraduate/pgr-fees. # Qualifications To apply you should have at least an upper second class honours degree (or overseas equivalent) in Computer Science, or a suitable technical science or engineering subject such as Computer Engineering and Electronic Engineering. Preference will be given to those with appropriate MSc or equivalent research/industrial experience in relevant areas. Experience in a relevant area is not required, but advantageous. The candidate is expected to have solid mathematical knowledge, including calculus and linear algebra. Hands-on skills in one of the programming languages is expected, such as Matlab, Python, Java, or C/C++. In addition, the applicant must have good communication skills and be fluent in English. We look for a candidate that is self-motivated, engaging, and is a team player. # Application Procedure The application process requires the submission of a CV, two letters of recommendation or contact information of two referees, copies of degree certificates and transcripts from all university-level courses taken. More information about how to apply can be found in the Computer Science PhD page by clicking on the ‘apply online’ button. In addition to the above, as part of your application, you are also required to upload the following documents: - Statement of purpose (1-3 pages) where you introduce yourself, explain why you want to pursue a PhD, present your qualifications and describe your future research plans; - Research proposal describing your research area of interest and motivation in one of the relevant areas. Shortlisted applicants will be contacted directly to arrange a suitable time for an interview. For any questions regarding the application process or an informal discussion about the position especially the highlighted projects, please contact the named supervisors of the specific project given before. For more general queries about the studentship contact Dr Andre Gruning <a.gruning(a)surrey.ac.uk> Surrey continuously strives to be an attractive employer. We acknowledge, understand and embrace diversity. # Useful links: Potential PhD Supervisors and their research interest and publications: - https://www.surrey.ac.uk/cs/people/clive_cheong_took/ - https://www.surrey.ac.uk/cs/people/andre_gruning/ - https://www.surrey.ac.uk/cs/people/sotiris_moschoyiannis/ - https://www.surrey.ac.uk/cs/people/yaochu_jin - https://www.surrey.ac.uk/cs/people/paul_krause - https://www.surrey.ac.uk/cs/people/hongying_tang PhD in Computer Science at Surrey: - http://www.surrey.ac.uk/postgraduate/computer-science-phd - https://www.surrey.ac.uk/department-computer-science/study/postgraduate-res… - https://www.surrey.ac.uk/department-computer-science/study/postgraduate-res… The NICE group - http://www.surrey.ac.uk/cs/research/nice -- Brief? Here's why: http://emailcharter.org<http://emailcharter.org/> Dr Andre Gruning Senior Lecturer (Associate Professor) Postgraduate Research Director Department of Computer Science University of Surrey, Guildford GU2 7XH United Kingdom

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NIH/NSF funded postdoc (U Penn/U Houston/CU Boulder)
by Zachary Kilpatrick Sept. 28, 2017

Sept. 28, 2017

We are seeking a postdoctoral fellow to join an NIH/NSF funded interdisciplinary project that includes Joshua Gold (University of Pennsylvania), Krešo Josić (University of Houston), and Zack Kilpatrick (University of Colorado, Boulder). Our aim is to understand how the brain accumulates evidence in dynamic environments. The project is guided by the overriding hypothesis that brain networks involved in decision-making computations incorporate learned expectations of the environment to implement adaptive decision-making. We seek a candidate who can work at the interface of experimental, computational, and theoretical neuroscience. As part of an interdisciplinary team, The candidate will develop models of neural circuits that approximate normative evidence accumulation in dynamic environments. The candidate will also help to validate these models, using behavioral data from humans and neural recordings from primates performing dynamic decision tasks. For further information please contact Krešimir Josić (josic(a)math.uh.edu <mailto:josic@math.uh.edu>) or Zack Kilpatrick (zpkilpat(a)colorado.edu <mailto:zpkilpat@colorado.edu>)

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Winter School on Deterministic & Stochastic Models in Neuroscience in Toulouse: December 11 to 15, 2017
by Zachary Kilpatrick Sept. 28, 2017

Sept. 28, 2017

We are glad to announce that from the 11th to the 15th of December 2017 will take place a Winter School on Deterministic and Stochastic Models in Neuroscience at the Institut de Mathématiques de Toulouse in France. The main objective of this event is to organise a winter school around stochastic and deterministic models arising in neuroscience by providing a series of lectures given by internationally reknown speakers for a broad audience (graduate students, PhD students, Postdoctorates, researchers and professors) along with specific research talks. This winter school will showcase some recent and ongoing modeling problems in neuroscience with a strong emphasis on the stochastic and deterministic methods developped to treat them. There will be two lectures dedicated to stochastic methods and two for deterministic ones. The research talks will complement and enlarge these courses with for example topcis on neural field equations, numerical methods or kinetic models of neuronal networks. The webpage of the event can be found here: http://www.cimi.univ-toulouse.fr/mib/en/School-DSMN <http://www.cimi.univ-toulouse.fr/mib/en/School-DSMN> Please note that there will be financial support for a selected number of students (graduate students, PhD students, Post-doctorates) covering local expenses: hotel, metro tickets and food. Students can apply here: http://www.cimi.univ-toulouse.fr/en/registration-winter-school-deterministi… <http://www.cimi.univ-toulouse.fr/en/registration-winter-school-deterministi…> The registration for the winter school is free but mandatory. Lunches and a diner buffet will be covered by the conference. Scientific organizers Patrick Cattiaux & Grégory Faye

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Theoretical/Statistical Neuroscience Faculty Openings at Columbia
by Allison Ong Sept. 28, 2017

Sept. 28, 2017

Dear Colleague, Columbia has announced a search for two faculty positions in theoretical/statistical neuroscience that are described below (also attached). We would appreciate it if you could forward this information to any interested candidates. We will start to evaluate applications on December 1, 2017. Here is a link to the announcement and the site for applying: 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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Postdoctoral position in theoretical neuroscience at NYU
by Cristina Savin Sept. 27, 2017

Sept. 27, 2017

Applications are invited for a postdoctoral scholar position in the Savin group at NYU. We are looking for an innovative and enthusiastic researcher with a strong quantitative background (e.g. Math, Physics, Computer Science) and experience in Neuroscience research and/or Machine Learning. The lab uses theoretical tools based on machine learning and statistics to study the neural correlates of learning and memory at the circuit level. For information about recent publications and ongoing projects see: www.cns.nyu.edu/~csavin <http://www.cns.nyu.edu/~csavin> Potential topics include: - probabilistic computation in neural circuits and its neural signatures, with a focus on learning - circuit level models of memory that aim to explain human memory behavior The postdoc will be part of a large and intellectually vibrant community of researchers from the Center for Neuroscience and the Centre for Data Science at NYU. The position is funded for 2 years, with an initial one-year appointment and expectation of extension contingent on satisfactory progress. Please submit your application to csavin(a)nyu.edu <mailto:csavin@nyu.edu> including: - CV - a statement of research interests - contact details of three people that are familiar with your work

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Postdoctoral position in Virtual Neuroprosthesis
by Emmanuelle Tognoli Sept. 27, 2017

Sept. 27, 2017

http://www.ccs.fau.edu/~tognoli/virtualNeuroprosthesis.html The BioRobotics Lab at Florida Atlantic University (FAU) invites applications for a NIH NIBIB-funded Postdoctoral position to develop a Virtual Neuroprosthesis aimed at providing a sense of touch in amputees and limb-absent people. Candidates should have a PhD in one of the following degrees: mechanical engineering, electrical engineering, biomedical engineering, bioengineering or related, with interest and/or experience in transdisciplinary work at the intersection of robotic hands, biology, and biomedical systems. Prior experience in the neural field will be considered an advantage, though not a necessity. Underrepresented minorities and women are warmly encouraged to apply. The postdoctoral researcher will be co-advised across the department of Mechanical Engineering and the Center for Complex Systems & Brain Sciences through an interdisciplinary team whose expertise spans Robotics, Microfluidics, Behavioral and Clinical Neuroscience and Orthopedic Surgery. The position will be for one year with a possibility of extension based on performance. Salary will be commensurate with experience and qualifications. Review of applications will begin immediately and continue until the position is filled. The application should include: (1) a cover letter with research interests and experiences, (2) a CV, (3) names and contact information for three professional references. Qualified candidates should send contact: tognoli(a)ccs.fau.edu -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

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PostDoctoral Position at the LMU (Munich) : dissection of functional cortical network dynamics
by Anton Sirota Sept. 27, 2017

Sept. 27, 2017

*Post-Doctoral* position is available *immediately* at the laboratory of Prof. Anton Sirota at the Ludwig-Maximilians University München (Germany) for the research project that is part of international interdisciplinary collaborative research consortium BrainCom (http://www.braincom-project.eu) The goal of the project is to identify decoding capacity of the network dynamics across cortical circuits derived from the multichannel surface and depth cortical field potential recordings for applications to neuroprosthetics. As a corollary, we aim to develop, for the first time, experimentally-derived circuit-level forward model for the depth and surface cortical field potentials. The project will combine extracellular recordings using newly-developed very large scale high density multichannel arrays with optogenetic circuit-specific manipulation and quantitative behavior analysis in rodents, as well as novel analytical approaches. Project will be integrated into diverse and innovative research program of the Sirota lab (http://cogneuro.bio.lmu.de) Our laboratory is part of Bernstein Centre for Computational Neuroscience Munich (http://www.bccn-munich.de) Munich Cluster for Systems Neurology (http://www.synergy-munich.de) and the Graduate School of Systemic Neurosciences (http://www.gsn.uni-muenchen.de) Applicants are expected to be highly motivated, hard working, creative and capable of independent, analytical and critical thinking. PhD in neuroscience and a strong background in physics, computer science or engineering are required. Solid experience in in vivo electrophysiology, optogenetics and computational neuroscience is highly desirable. Strong quantitative and technical skills are a must. Good knowledge of signal processing and machine learning is a plus. Proficiency in English and good written and oral communication skills are a prerequisite. Good social and teamwork, as well as excellent organizational skills, are expected. Candidates are expected to have first author peer-reviewed publication record. Employment is according to the state employees salary scheme (TV-L/E13) and is initially for 1 year with the option for extension.Candidate selection will be open until the position is filled. LMU Munich is an equal opportunity employer. Applications of women and disabled persons, given similar qualification, are preferred. Applications should include a full CV, a 1 page statement of past experience, research interests, and career goals, along with contact information of at least 2 referees. Please, send your application electronically as a single PDF file to Dr Anton Sirota at sirota(a)bio.lmu.de

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Postdoctoral positions in theoretical neuroscience
by Brent Doiron Sept. 27, 2017

Sept. 27, 2017

The Doiron group at the University of Pittsburgh (www.math.pitt.edu/~bdoiron) is currently seeking up to two postdoctoral fellows to work on cutting edge problems in theoretical neuroscience. Research topics include: 1) The genesis and consequences of neuronal variability in cortical networks 2) Biologically realistic modeling of assembly formation in cortical circuits 3) How learning and memory impact population codes All projects will involve heavy collaboration with several prominent experimental groups (primate and rodent) both in Pittsburgh as well as abroad. The positions are 3-year terms (contingent upon satisfactory progress) with competitive salary and benefits packages offered by the University of Pittsburgh. The successful candidate will join the Mathematics department at the University of Pittsburgh (www.math.pitt.edu) and will have strong ties to the Center for the Neural Basis of Cognition in Pittsburgh (http://www.cnbc.cmu.edu) Candidates should have a Ph.D. in computational neuroscience, mathematics, physics, or engineering and have an excellent track record of scholarship. The University of Pittsburgh is an affirmative action/equal opportunity employer and encourages applications from under-represented groups. Interested persons should send their CV, a cover letter stating research interests and career goals, and names and contact information of two references to bdoiron(a)pitt.edu . The competition will remain open until the positions are filled. Best Brent -- Professor of Mathematics Center for the Neural Basis of Cognition University of Pittsburgh 301 Thackeray Hall Pittsburgh, PA, 15260 www.math.pitt.edu/~bdoiron

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Job Announcement: Computational Neuroscience RA
by Stacie Warren Sept. 26, 2017

Sept. 26, 2017

Dear Colleagues, A Computational Neuroscience Research Assistant position is currently available at Palo Alto University to support the Clinical Cognitive and Affective Neuroscience Programs directed by Stacie L. Warren, PhD and Tilman Schulte, PhD. This is an exciting opportunity to work on a range of cognitive and affective studies that focus on executive function, emotion regulation, stress responsivity, reward processing, and aging on neural circuitry. Populations of interest include healthy adults, adults with or at risk for developing psychopathology, and neurological disorders. Opportunities to develop and apply novel data analysis techniques, to co-author research publications, and to assist with similar studies in children through a partnership with Stanford University are also available. Primary Responsibilities: Developing software/scripts to implement algorithms for data quality control, preprocessing, analysis, and management. Developing and implementing statistical/mathematical modeling (e.g., machine learning algorithms) to characterize high-dimensional datasets. Assisting with analyzing neuroimaging research data using neuroimaging-specific programs and/or software (e.g., FSL, Freesurfer, SPM, AFNI). Qualifications: BA/BS in a relevant field by the time of appointment. Proficiency in programming (e.g., Matlab, Python, C/C++, java) and shell scripting. Proficiency with Linux OS and file system. Experience with any of the following: signal and image processing, machine learning, statistical/mathematical modeling. Excellent organizational and interpersonal communication skills are required. Strong background in biomedical engineering, computer science, applied mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. Experience in neuroimaging data analysis is desired. A two-year commitment is required. This is a full-time position with a competitive salary and benefits. To apply, send a CV, a cover letter stating your research interests and career goals, and contact information for three references to swarren(a)paloaltou.edu. Review of applications will begin immediately. -- Stacie L. Warren, Ph.D. Assistant Professor Clinical Psychology Ph.D. Program Palo Alto University 1791 Arastradero Rd. Palo Alto, CA 94304 email: swarren(a)paloaltou.edu <staciewarren3(a)gmail.com>

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Postdoctoral positions in neural coding - IIT Rovereto, Italy
by Stefano Panzeri Sept. 26, 2017

Sept. 26, 2017

We are seeking candidates for up to three postdoctoral position in computational neuroscience in the Neural Computation Laboratory at the IIT ( http://cncs.iit.it/labs/neural-computation ) directed by Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri) and located in Rovereto (Trento), Italy. This laboratory aims to crack the neural code using neural network modeling and computational analyses of neurophysiological experiments. The laboratory offers a range of strongly interdisciplinary expertise in computational neuroscience, including information theory and other types of advanced single-trial neural analyses, advanced spectral analysis, and biophysically plausible neural network modeling. The successful candidate will develop and use tools for the analysis of large-scale simultaneous recordings of the spiking activity of cells in the cortex to understand how populations of neurons carry information. The successful candidate would have the opportunity to benefit from an extensive set of existing collaborations with leading neurophysiological laboratories, including those of Nikos Logothetis at Max Planck Tubingen (collaborating on oscillations, sensory information coding and neuromodulation), Tommaso Fellin at IIT (collaborating on Optogenetics, Neurophysiology and Neural coding), Mathew Diamond at SISSA (collaborating on the behavioral impact of information carried by spike timing), and Christopher Harvey at Harvard Medical School (collaborating on neural population dynamics and decision making). We are willing to consider candidates interested in any of the aspects of neural coding of interest to the laboratory. Candidates must hold a PhD in a numerate scientific discipline. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. For reference to recent work of the lab please see : Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, Nature: 548: 92-96. Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. Neuron 93: 491-507 Safaai, H., et al (2015) Modelling the effect of Locus Coeruleous firing on single trial cortical state dynamics and sensory processing. Proc. Natl. Acad. Sci. USA 112(41): 12834–12839 Zuo Y, et al (2015) Spike timing and spike rate make complementary contributions to perceptual decisions in rat S1 and S2 cortex. Current Biology 25: 357-363 Besserve M, et al (2015) Shifts of gamma phase across primary visual cortical sites reflect dynamic stimulus- modulated information transfer. PLoS Biology 13(9): e1002257 The formal deadline for applications is Oct 15th 2017. 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 selezioni(a)iit.it and to Stefano Panzeri (*stefano.panzeri(a)iit.it) <stefano.panzeri(a)iit.it)>*. The formal application should contain the applicant’s CV, a brief statement of research interests, and names and email addresses of 2 or 3 referees. Thanks Stefano Panzeri

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postdoctoral positions in brain-inspired computing at Sandia National Laboratories
by Chance, Frances S. Sept. 25, 2017

Sept. 25, 2017

**apologies for the multiple emails from Sandia – this is an advertisement for a separate postdoctoral position than the computational neuroscience postdoc that was advertised last week. I’m very excited to see the neuroscience community at Sandia grow - I think a number of persons on this list have appropriate backgrounds for either position and would encourage those persons to apply to both. Colleagues, We are seeking a Postdoctoral Appointee to join an interdisciplinary research program focused on state-of-the-art computational and mathematical approaches and applications for brain-inspired computing. The neural computing group includes researchers with expertise in machine learning, cognitive science, neuroscience, physics, engineering, mathematics, and data analytics. Current research topics of interest include developing neural models and novel adaptive machine learning algorithms, as well as applying machine learning to develop new neuromorphic computing approaches. Some information on Sandia's neural-inspired computing research can be found at http://neuroscience.sandia.gov/. To apply, visit http://www.sandia.gov/careers/ and click "View All Jobs". Enter "658203" into the search box to locate this posting. For questions please contact William Severa (wmsever(a)sandia.gov<mailto:wmsever@sandia.gov<mailto:wmsever@sandia.gov%3cmailto:wmsever@sandia.gov>>) or Craig Vineyard (cmviney(a)sandia.gov<mailto:cmviney@sandia.gov<mailto:cmviney@sandia.gov%3cmailto:cmviney@sandia.gov>>). Additionally, we also encourage potential applicants to consider several of Sandia's laboratory wide fellowships for recent PhD graduates, including the John von Neumann Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/johnvonneumann_…) in computational sciences and the inaugural Jill Hruby Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/hruby_fellowshi…) While an offer of employment is not contingent upon receiving one of these fellowships, a number of them do have deadlines in the coming months.

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Research Associate in Functional Brain Mapping
by Dheeraj Rathee Sept. 25, 2017

Sept. 25, 2017

*Dear All,* *Research Associate in Functional Brain Mapping * Applications are invited for a Post-Doctoral Research Associate (PDRA) in functional brain mapping (FBM) to work on a project aimed at discovering neuromarkers that facilitate stratification of patients with Alzheimer´s disease. The position is currently for 2 years, with possibility for further extension subject to securing funder’s approval. *Ref*( http://www.jobs.ac.uk/job/BEA525/research-associate-in-functional-brain-map… ) : 2752/ 1672326 *Location:* Ulster University, Magee campus, Derry~Londonderry, Northern Ireland, UK. *Salary*: £27,300 to £40,015 *Closing Date*: 4th October 2017 *Duties: *The successful candidate will use MEG data recorded during cognitive tasks, stimulations, and resting state protocols to explore functional connectivity and other appropriate measures for characterizing individuals with different stages of AD and detecting individuals at the risk of developing AD. S/he will also develop and evaluate methods for assessing treatment effects on individuals with AD in collaboration with industry. *Northern Ireland Functional Brain Mapping (NIFBM) facility: *The NIFBM is located at the Intelligent Systems Research Centre ( https://www.ulster.ac.uk/research/institutes/computer-science/groups/intell… ) of Ulster University, Magee campus, Derry~Londonderry. It is the only brain imaging facility anywhere in Ireland and only one of nine in whole of UK to use a state-of-the-art magnetoencephalography (MEG) to measure brain activity. The facility attracts clinicians and researchers from across Northern Ireland as well as Republic of Ireland. It is equipped with the latest whole head 306 channels Elekta Neuromag MEG TRIUX system, which also includes a 128-channel EEG recording system. We offer several advanced techniques for brain stimulation and analysis that allow us to obtain better results and guarantee a high quality service for both research and clinical applications. The ISRC is a major research unit in the Faculty of Computing, Engineering and the Built Environment and hosts around 80 researchers including academic staff, research associates and PhD students organized in four research teams: Neural Systems and Neuro-technology, Computational Neuroscience and Neural Engineering, Cognitive Robotics, and Ambient Intelligence and Virtual Worlds. Based at ISRC, the successful candidate will have an opportunity to interact with researchers from related ISRC teams as well as Biomedical Sciences Research Institute (5* research rating), and the recently developed Centre for Stratified Medicine at Ulster University. *Eligibility Requirements: *An eligible candidate should have a degree in Computing Science, Electronic Engineering, Physics, or a closely related discipline, or a higher degree in the same or related subjects. Applicants with other relevant degrees e.g. medicine, psychology, neuroscience or biomedical sciences may also be considered, subject to demonstration of substantial neuroimaging expertise. A PhD degree in an area relevant to the post is also an essential requirement. It is also required that a candidate: - Has extensive hands-on EEG/MEG experience including protocol design, setting up experiments and stimulations, and data acquisition; - Has strong skills and expertise in EEG/MEG analysis using modern tools such as Fieldtrip, SPM, MNE, and/or Brainstorm; - Has research track record in cognitive or clinical neuroscience supported by at least two high quality journal publications suitable for submission in to UK’s Research Excellence Framework (REF); - Is a self-motivated individual, enjoys working in a team and interacting with researchers and study participants. Please apply on-line by visiting either our university web-site http://www.ulster.ac.uk/jobs or the advertisement appearing at: http://www.jobs.ac.uk/job/BEA525/research-associate-in-functional-brain-map… For more information, please contact Prof. Girijesh Prasad, Principal Investigator & Director NIFBM facility. E-mail: g.prasad(a)ulster.ac.uk, Phone: 028 71675645. -------------------------------------------------------- [image: Ulster University] <http://www.ulster.ac.uk/> *Prof. Girijesh Prasad*, Professor of Intelligent Systems, Director, Northern Ireland Functional Brain Mapping facility for MEG studies, Intelligent Systems Research Centre, School of Computing & Intelligent Systems, Faculty of Computing & Engineering, Ulster University, Magee campus, Derry~ Londonderry BT48 7JL, N. Ireland, UK. *T:* +44 - (0)28 71 - 675645, 675409 *E:* g.prasad(a)ulster.ac.uk *W:* https://www.ulster.ac.uk/staff/g.prasad.html https://www.ulster.ac.uk/research/institutes/computer-science/groups/intell… *--------------------------* *Thanks & Regards* *Dheeraj Rathee* PhD Student Intelligent Systems Research Centre | Faculty of Computing and Engineering Ulster University (Magee Campus ) Northland Road, Derry Northern Ireland, UK BT 48 7JL Email Id: dheeraj.rathee(a)gmail.com | rathee-d(a)email.ulster.ac.uk Contact : +447459549514 Skype : dheeraj.rathee || Research Gate <https://www.researchgate.net/profile/Dheeraj_Rathee> || LinkedIn <https://in.linkedin.com/pub/dheeraj-rathee/97/162/2a8?domainCountryName=Ind…> *A 'Peaceful' Mind is a 'Productive' Mind. * *CONFIDENTIALITY NOTE : The information transmitted, including attachments, is intended only for the person(s) or entity to which it is addressed and may contain confidential and/or privileged material. Any review, re-transmission, dissemination or other use of, or taking of any action in reliance upon this information by person(s) or entities other than the intended recipient(s) is prohibited. If you have received this mail in error , please notify the sender and destroy any copies of the information. * * *************END OF DISCLAIMER*************** *

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Fully funded PhD student positions at IMPRS Brain and Behavior Bonn/Florida
by Jakob Macke Sept. 25, 2017

Sept. 25, 2017

The INTERNATIONAL MAX PLANCK RESEARCH SCHOOL (IMPRS) FOR BRAIN AND BEHAVIOR is a transatlantic collaboration between the University of Bonn and the Max Planck associated Center for Advanced European Science and Research (caesar) along with the USA partners Florida Atlantic University and the Max Planck Florida Institute for Neuroscience (MPFI). We seek to fill at least 15 fully funded PhD student positions - NEUROSCIENCE OUR SCHOOL: The first of its kind to unite two Max Planck Institutes (caesar and MPFI) on both sides of the Atlantic, and their university partners (Bonn University and FAU): the IMPRS FOR BRAIN AND BEHAVIOR offers a competitive, English language, interdisciplinary, world-class PhD training and research program in the neurosciences. OUR RESEARCH: IMPRS for Brain and Behavior research projects address how sensory information is encoded in neural circuits and is transformed ultimately to behavior. This research ranges from understanding molecular signaling cascades in spines during learning to understanding how sensory and motor circuits are activated in the awake behaving animal. THE POSITIONS: More than 35 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website for further information on our faculty and possible doctoral projects. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn or Jupiter. YOUR PROFILE: Highly qualified and motivated aspiring PhD student from any nationality. Proven track record of academic and research excellence. Master’s degree (or equivalent) in biology, chemistry, physics, mathematics, computer science, engineering, or other relevant subject. Truly superior bachelor students may be considered. Fluency in written and spoken English. OUR OFFER: Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for 3 years (extension possible) and no tuition fees. We are committed to diversity and equal opportunity for all applicants. Positions must be started not later than October 1, 2018. YOUR APPLICATION: Apply online at: http://www.imprs-brain-behavior.mpg.de by the December 1, 2017 deadline. Only applications submitted through the online portal will be considered! Short-listed candidates will be interviewed in March 12-13, 2018. CONTACT: Denise Butler, Coordinator (IMPRS.info(a)caesar.de)

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Several postdoctoral research positions in Statistical Neuroscience
by xaq pitkow Sept. 20, 2017

Sept. 20, 2017

POSITION: We seek several highly motivated postdoctoral research fellows for a collaborative team project building statistical tools for interpreting large scale neural recordings. The fellows will develop new methods and applications of probabilistic graphical models to infer statistical interactions amongst neurons and with their environment. The tools will be validated in neural network simulations, tested in physiological recordings, and made widely available to the neuroscience community for understanding data from next-generation experiments. TEAM: Fellows will join principal investigators and theorists Krešimir Josić, Genevera Allen, Xaq Pitkow, Ankit Patel, and Robert Rosenbaum. The team will interact closely with experimentalists including co-Investigator Andreas Tolias and several other labs interested in applying novel methods we develop. Fellows will also be members of the new Center for Neuroscience and Artificial Intelligence housed at the Baylor College of Medicine and supported in part by the NSF NeuroNex program. The Center brings together interdisciplinary researchers from across Houston, including members from Baylor College of Medicine, Rice University, University of Houston, and University of Texas Health Sciences. Researchers at the Center contribute diverse expertise in fields including neuroscience, machine learning, statistics, physics, computer science, electrical engineering, and applied mathematics. QUALIFICATIONS: Candidates must have outstanding mathematical skills, a PhD in a relevant quantitative discipline, and expertise in probabilistic graphical models or statistical machine learning. APPLYING: Applicants should email a letter of research interests and CV to Camila Lopez (Camila.Lopez(a)bcm.edu) along with contact information for three references. We look forward to hearing from you!

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AMCOS save the date
by AMCOS Conference Sept. 20, 2017

Sept. 20, 2017

SAVE THE DATE *AMCOS –** Analysis and Modeling of Complex Oscillatory Systems* March 19-23, 2018 Barcelona, Spain The *AMCOS conference* aims at bringing together renowned experts and young researchers who work on the modeling of complex systems and the emergence of collective phenomena, as well as on the analysis of complex data sets in order to infer structure and functionality of networks. Accompanying *tutorials* by leading experts will interactively introduce the different conference themes. Do you want to present your work? *Registration and abstract submission opens October 15, 2017*. More info at amcosconference.com. *Date and Venue* Tutorials: March 19, 2018 Conference: March 20 - 23, 2018 PRBB <http://www.prbb.org/>, Parc de Recerca Biomèdica de Barcelona *List of speakers* (*TBC) - Peter Ashwin, - Ernest Barreto, - Ginestra Bianconi*, - Raffaella Burioni, - Dante R. Chialvo, - Gustavo Deco, - Alain Destexhe*, - Albert Díaz-Guilera, - Jordi Garcia-Ojalvo, - Wulfram Gerstner*, - Leon Glass, - Sonja Grün, - Cristina Masoller, - Yamir Moreno, - Florian Mormann, - Hiroya Nakao*, - Diego Pazó, - Juan G. Restrepo, - Alex Roxin, - Tilo Schwalger*, - Damián H. Zanette. *Topics covered* synchronization and nonlinear dynamics - dynamics on networks - connectivity and network inference - data analysis in neuroscience - critical phenomena - neural field models - computational neuroscience - complex oscillatory behaviour in physiology *Tutorials* Leading experts in the field will introduce the different conference themes interactively in tutorials on the first day of the conference week. The speakers are: - Ralph G. Andrzejak, - Arkady Pikovsky, - Michael Rosenblum, - Aneta Stefanovska. A (tentative) list of topics comprises basic theory of synchronization, synchronization approach to data analysis, basic concepts of nonlinear time series analysis, and time series analysis of non-autonomous dynamics. The participants are required to bring laptops installed with MATLAB/Octave if they want to take part in the practical activities. *Organizers* The doctoral students (Early Stage Researchers <http://www.uni-potsdam.de/cosmos-itn/people/early-stage-researchers-esrs/>) of the H2020 Marie Curie project COSMOS <http://www.uni-potsdam.de/cosmos-itn/> . For further information see amcosconference.com or contact us via e-mail < amcosconference(a)upf.edu>. Please forward to anyone interested.

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postdoctoral positions in computational neuroscience at Sandia National Laboratories
by Chance, Frances S. Sept. 19, 2017

Sept. 19, 2017

Colleagues, We are seeking a Postdoctoral Appointee to join an interdisciplinary research program focused on understanding neural computation at the circuit level. The neural computing group includes researchers with expertise in machine learning, cognitive science, neuroscience, physics, engineering, mathematics, and data analytics. Current research topics of interest include computational models of retina, visual cortex (or the neural circuitry underlying perception), and the hippocampus. More information on Sandia’s neuroscience research can be found at http://neuroscience.sandia.gov/. We are also encouraging potential applicants to look at several of Sandia’s laboratory wide fellowships for recent PhD graduates, including the John von Neumann Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/johnvonneumann_…) in computational sciences and the inaugural Jill Hruby Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/hruby_fellowshi…) While an offer of employment is not contingent upon receiving one of these fellowships, a number of them do have deadlines in the coming months. To apply, visit http://www.sandia.gov/careers/ and click "View All Jobs". Enter “658202” into the search box to locate this posting. For questions please contact Frances Chance (fschanc(a)sandia.gov<mailto:fschanc@sandia.gov>) or Brad Aimone (jbaimon(a)sandia.gov<mailto:jbaimon@sandia.gov>).

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post-doc positions to work on integrated information theory (IIT) with Prof. Giulio Tononi at University of Wisconsin-Madison
by Larissa Albantakis Sept. 19, 2017

Sept. 19, 2017

*Post-doc position(s) to work on Integrated Information Theory (IIT) * Prof. Giulio Tononi, University of Wisconsin, Madison Several postdoctoral positions are available at the Wisconsin Institute for Sleep and Consciousness in the laboratory of Prof. Giulio Tononi to study complex systems within the framework of integrated information theory (IIT). Immediate funding is available for a range of projects including the foundational development of IIT’s mathematical framework, the development of practical measures of integrated information, and their applications to complex systems (biological and artificial). *Required:* - Strong training in an analytically rigorous discipline such as theoretical or computational biology/neuroscience, physics, mathematics, computer science, or engineering - Programming experience (knowledge of MATLAB, Python, and/or C++ is of advantage) * Preferred:* - Experience in information theory and complex systems - Interest in the philosophy of causation Appointments are renewable from year to year for up to three years, starting as soon as possible or until the positions are filled. Postdoc salaries correspond to the National Institutes of Health National Research Service Award (NRSA) stipend schedule for postdoc trainees, based on number of years of postdoctoral experience. Candidates should send a CV, brief statement (500 words maximum) describing their research interests and potential role within the lab, and email addresses and phone numbers of three references to: Giulio Tononi, MD, PhD (gtononi(a)wisc.edu) Note that generic applications will not be considered. To demonstrate a real interest in IIT, we strongly recommend applicants calculate the Φ value of a small network—three fully connected XOR logic gates, without self-loops, in state 0, 0, 0 (all off)—using the IIT online interface and include the result in the application email. For more information, see http://integratedinformationtheory.org/, or contact Larissa Albantakis, PhD (albantakis(a)wisc.edu) or William Marshall, PhD (wmarshall3(a)wisc.edu) -- Larissa Albantakis, PhD Department of Psychiatry University of Wisconsin 6001 Research Park Blvd Madison, WI 53719

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Postdoctoral position (Mathematical Neuroscience) at QIMRB, Brisbane Australia
by Matthew Aburn Sept. 19, 2017

Sept. 19, 2017

Mathematical Neuroscience Research Fellow (full time 3 year appointment) - Innovative biomedical modelling - Attractive salary packaging & superannuation options This research fellow will pursue large-scale computational modelling and simulation of brain activity, and innovative analyses of time series and neuroimaging data, with particular focus on epilepsy. *Responsibilities* - You will contribute to developing and analysing new mathematical models of large-scale brain activity, including both biophysical neural mass models and networks of non-linear oscillators. - Simulate computational models on GPUs or high performance computing clusters, and collaborate in applying these to clinical and neuroscience research. - Perform innovative analyses of high-dimensional neurophysiological and neuroimaging data. - Contribute to experimental design and prepare manuscripts for related studies. - Participate in intra-mural group activities, including presentation at lab meetings and collaboration with other lab members and clinicians. *About you* Essential: The successful applicant will possess the following: PhD in mathematics, physics, bioengineering, computer sciences or related field; demonstrated ability to implement mathematical methods in code; evidence of strong oral and written communication skills. Desirable: Ideally candidates may also have a published track record in analysis of non-linear dynamical systems, particularly neural mass or neural field models or coupled non-linear oscillators; previous experience with GPU programming or high performance computing clusters; previous experience in neuroscience research; or expertise in time series analysis or signal processing. *About the lab* Led by Prof Michael Breakspear, the Systems Neuroscience Group (SNG) is an independent research team within QIMR Berghofer. The SNG is a multidisciplinary group who undertake innovative computational modelling and analysis of brain activity in health and disease. QIMR Berghofer is a world-leading translational medical research institute. Based in Brisbane, Australia and working in close collaboration with clinicians and other research institutes, QIMR Berghofer is home to more than 600 scientists, students and support staff. *Salary* Salary range is AUD $81,395-$84,257 per annum, plus up to 15.75% superannuation, and attractive salary packaging. This is a full time three year appointment. Closing date is 15 October 2017 Apply here: http://www.qimrberghofer.edu.au/careers/positions-vacant

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Postdoctoral position (Bayesian Computation) at QIMRB, Brisbane Australia
by Matthew Aburn Sept. 19, 2017

Sept. 19, 2017

Bayesian Computation Research Fellow (full time 3 year appointment) - Cutting edge data science - Attractive salary packaging & superannuation options This research fellow will develop new systems for model selection and model-based prediction, combining large data sets from patient neuroimaging and intracranial recordings, with biophysical forward models of brain dynamics. *Responsibilities* - You will contribute to the design of systems for Bayesian inference on large data sets, to perform model selection, parameter estimation, data assimilation and prediction using forward models of brain dynamics. - Implement these methods on GPUs or high performance computing clusters, and collaborate in applying these to clinical and neuroscience research, including an application to diagnosis and treatment of epilepsy. - Perform innovative analyses of high-dimensional neurophysiological and neuroimaging data. - Contribute to experimental design and prepare manuscripts for related studies. - Participate in intra-mural group activities, including presentation at lab meetings and collaboration with other lab members and clinicians. *About you* Essential: The successful applicant will possess the following: PhD in mathematics, physics, statistics, bioengineering, computer sciences or related field; demonstrated ability to implement mathematical methods in code; and evidence of strong oral and written communication skills. Desirable: Ideally candidates may also have a published track record in applying computational Bayesian methods such as Sequential Monte Carlo, MCMC, Variational Bayes; previous experience with GPU programming or high performance computing clusters; previous experience in neuroscience research; or expertise in time series analysis or signal processing. *About the lab* Led by Prof Michael Breakspear, the Systems Neuroscience Group (SNG) is an independent research team within QIMR Berghofer. The SNG is a multidisciplinary group who undertake innovative computational modelling and analysis of brain activity in health and disease. QIMR Berghofer is a world-leading translational medical research institute. Based in Brisbane, Australia and working in close collaboration with clinicians and other research institutes, QIMR Berghofer is home to more than 600 scientists, students and support staff. *Salary* Salary range is AUD $81,395-$84,257 per annum, plus up to 15.75% superannuation, and attractive salary packaging. This is a full time three year appointment. Closing date is 15 October 2017 Apply here: http://www.qimrberghofer.edu.au/careers/positions-vacant

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University of British Columbia Murphy lab: PDF and Graduate students wanted, automated in vivo imaging and optogenetics in mouse cortex
by Tim Murphy Sept. 15, 2017

Sept. 15, 2017

University of British Columbia Murphy lab: PDF and Graduate students wanted, automated in vivo imaging and optogenetics in mouse cortex. The Murphy lab at the University of British Columbia is looking for both graduate students and postdoctoral fellows to join a dynamic research team focused on the function of mouse cortex in both normal brain as well as models of stroke and neuropsychiatric disorders. <http://www.neuroscience.ubc.ca/faculty/murphy.html> http://www.neuroscience.ubc.ca/faculty/murphy.html Applicants should have experience in quantitative methods and computer programming and/or behavioral neuroscience. Software systems include both data acquisition and analysis using Python or/and Matlab. Current projects evolve around automated brain imaging/interventions using mouse home cages <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909937/> https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909937/. The lab has a fully equipped maker space with a 3D printer and electronics and other hardware fabrication facilities. Future work includes integration of behavioral tasks, including go-, no-go- and fine motor control with automated brain imaging and optogenetic stimulation or inhibition. Projects are focused around two major disease areas, which include stroke and mouse models of neuropsychiatric disorders. The laboratory is part of the UBC Centre for Brain Health and the Graduate program in Neuroscience. These entities form a vibrant research community. Applicants are encouraged to apply directly to Tim Murphy and after an initial application are expected to include 3 letters of reference plus an undergraduate and graduate transcript. Salary and stipends are consistent with Canadian granting standards. Please write: <mailto:thmurphy@mail.ubc.ca> thmurphy(a)mail.ubc.ca Tim Murphy, PhD Professor Kinsmen Lab, Dept. of Psychiatry University of British Columbia 2255 Wesbrook Mall Detwiller Pavilion Rm. 4N1 Vancouver, B.C. V6T 1Z3 Canada 604-822-0705 office

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Postdoctoral fellowship in human intracranial electrophysiology: Cedars-Sinai Medical Center and California Institute of Technology
by Ueli Rutishauser Sept. 15, 2017

Sept. 15, 2017

*** Apologies for multiple postings*** A postdoctoral position focused on investigating the neural mechanisms of learning and memory is available in the Laboratory of Ueli Rutishauser at Cedars-Sinai Medical Center and Caltech. The lab is broadly interested in human memory and decision making. We focus on understanding how new long-term memories are formed, how existing memories are retrieved to make choices, how memories for social stimuli such as faces are formed, and on utilizing this knowledge to develop new treatments for memory disorders. We utilize a combination of in-vivo electrophysiology (single-neuron and local field potential recordings), neuroimaging, computational and behavioral approaches. The focus of this project is on single-neuron recordings in epilepsy patients to investigate the role of theta-oscillations in coordinating activity during memory-based decisions. The applicant will join a vibrant and collaborative interdisciplinary research team consisting of investigators at both Cedars-Sinai Medical Center and the California Institute of Technology. We provide ample opportunity for training with state-of-the art equipment, facilities, analytical methods, and experimental techniques. Our work is funded by the NSF, McKnight Endowment fund, and NIH, including a newly established NIH BRAIN consortium between Cedars-Sinai/Caltech (Rutishauser, Mamelak, Adolphs), University of Toronto (Valiante), Johns Hopkins University (Anderson), and Harvard/Childrens (Kreiman). This provides ample opportunity to work with large-scale single-neuron datasets to test model predictions. This position is based at Cedars-Sinai in Los Angeles. Candidates should have a recent PhD in neuroscience or related field with a track-record of first-author publications. Strong programming (Matlab or similar), data analysis, and statistics skills are required. Previous electrophysiology experience is preferred. Excellent written and oral English communication skills are required. Previous human intracranial EEG and/or macaque electrophysiology experience is a strength. The position is available as early as Nov 1st 2017, with a competitive salary and benefits package commensurate with prior experience (NIH scale). The position is available with an initial appointment for one year and renewal based upon satisfactory performance. Cedars-Sinai is an equal opportunity employer. Applicants should send a CV, brief statement of research interests, and contact information for 2-3 references to Ueli Rutishauser at rutishauseru(a)csmc.edu. Information about the lab and a list of publications can be found at www.rutishauserlab.org . Applications will be reviewed on an ongoing basis. -- Ueli Rutishauser, Ph.D. http://rutishauserlab.org/

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Open position: clinical data manager, Marseille
by Irene Yujnovsky Sept. 14, 2017

Sept. 14, 2017

> > Clinical data manager for national consortium on epilepsy surgery - Aix-Marseille Université > Marseille, FRANCE > > > A position for an experienced clinical data manager is open to create and maintain an epileptic patient database including registration, normalization and security issues and to ensure the communication with the key partners in the academic, clinical and industry sectors with the aim of generating individual Virtual Patient models using The Virtual Brain (TVB) platform as framework (see http://www.thevirtualbrain.org) This database will be generated in the context of the EPINOV (Improving EPilepsy surgery management and progNOsis using Virtual brain technology) project led by Professor Fabrice Bartolomei (http://fr.ap-hm.fr/service/neurophysiologie-clinique-hopital-timone) funded by the RHU programme. > > Qualification > > Candidates must be highly motivated to work on an interdisciplinary project and collaborate with the various members of the consortium. They should have a degree in biomedical engineering, medical informatics or equivalent level of knowledge. Candidates must possess a solid experience in management of clinical and/or research data and programming (C, MATLAB, Python). Experience with neuroimaging data (stereotactic EEG, MRI, DTI, MEG, EEG), clinical trials, neuroinformatics and its standard formats (for instance DICOM, XNAT, BIDS), machine learning and Big Data would be considered an advantage. > > The EPINOV project and consortium > We are a national consortium composed of clinicians, researchers and industrial partners interested in improving epilepsy surgical prognosis using large–scale brain modelling based on individual epileptic patient data. A prospective, randomized multicenter trial will be conducted with subjects suffering from drug-resistant epilepsy. The clinical trial will systematically evaluate the added value of personalized brain modelling in the surgical decision making. > > Terms of salary and employment > Salary will depend on the diploma and previous experience. Operating languages in the consortium are both French and English. > > Applications including a cover letter, curriculum vitae and the names of two referees should be sent by October 31st 2017 to: Dr. Irene Yujnovsky at irene.yujnovsky(a)univ-amu.fr > > --

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[jobs] Post-doctoral Position in Brain- and biosignal-based speech recognition @ the Italian Institute of Technology (IIT)
by Alessandro D'Ausilio Sept. 14, 2017

Sept. 14, 2017

The IIT (Italian Institute of Technology) Centre for Translational Neurophysiology (CTNSC) is hiring 1 post-doc on Brain- and Biosignal-based Automatic Speech Recognition. Please find more information here: https://www.iit.it/careers/openings/opening/515-postdoctoral-position-in-br… Deadline: September 25th

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