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Postdoctoral positions in theoretical neuroscience

by Jonathan Touboul

Up to two postdoctoral positions are available at Brandeis University to work on exciting problems in theoretical neuroscience (mathematical-neuroscience.net <http://mathematical-neuroscience.net/>). Research topics include the analysis of the dynamics of neuron model or neural networks with heterogeneous elements, learning, memory and pathological brain states, as well as the embryonic development of neural assemblies. Techniques include numerical simulations, dynamical systems (with delays, jumps and/or multiple timescales), probabilities and statistical physics. All projects will involve heavy collaboration with experimental groups in Boston area, Paris and abroad. The positions are up to 3 year terms, contingent upon satisfactory progress, with competitive salary and benefits packages. The fellows will participate to the vibrant scholar life in the Boston area. The successful candidates will join the Mathematics Department at Brandeis University (http://www.brandeis.edu/departments/mathematics/ <http://www.brandeis.edu/departments/mathematics/>) with strong ties to the Neuroscience group (http://www.bio.brandeis.edu/ <http://www.bio.brandeis.edu/>). Opportunities to teach in the math department could be available and are encouraged! Candidates should have a Ph.D. in mathematics, (computational) neuroscience, physics or engineering and have an excellent track record of scholarship, have experience in dynamical systems and/or stochastic models, and be familiar with computational programing. Applications from under-represented groups are strongly encouraged. Candidates should send their CV, a cover letter indicating their research interests and professional goals, and names and contact information of two references to jtouboul(a)brandeis.edu <mailto:jtouboul@brandeis.edu> . Best wishes, Jon

Oct. 17, 2017

Two postdoc positions Canavier lab

by Canavier, Carmen C.

A Postdoctoral Researcher position is available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans to study cholinergic contributions to hippocampal information processing in close collaboration with electrophysiologist Sonia Gasparini. The successful candidate will construct a morphologically and biophysically realistic model of a hippocampal CA1 pyramidal neuron to explain the observed frequency selectivity of different dendritic regions for slow versus fast gamma band inputs. Some network modeling will also be required for the project. The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the hippocampus. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. Qualified candidates may submit resume along with cover letter and contact information for three references electronically to: SOM-recruits(a)lsuhsc.edu; reference 00049561. Applications should be received before Nov 15 to ensure consideration for the position. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans. A second Postdoctoral Researcher position will available Jan 1.?in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans to study the dynamic diversity of midbrain dopamine neurons in close collaboration with electrophysiologist Jochen Roeper at Goethe University in Frankfurt, Germany. The successful candidate will construct morphologically and biophysically realistic models of distinct subpopulations of dopamine neurons to account for experimentally observed differences in their bursting and pacemaking dynamics. These simulations will require in some cases incorporation of stochastic channel models and second messenger cascades. The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the basal ganglia. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. Please email CV to ccanav(a)lsuhsc.edu for more information. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.?

Oct. 16, 2017

Announcing our new Computational Neuroscience Center at the University of Washington; positions available

by fairhall＠u.washington.edu

We’re delighted to announce the formation of the University of Washington Computational Neuroscience Center (compneuro.washington.edu) The Center brings together research across the full spectrum of mechanisms and functions of the brain, developing new theoretical, computational and statistical tools to unify and interpret the extraordinary data on neural systems being gathered by our partners in Seattle and around the world. Come join us! Faculty positions: We’re hiring an assistant professor to join the UW-CNC in the Department of Physiology and Biophysics. Application review is still open! http://depts.washington.edu/pbiopage/2017-compneuro-faculty-search/ Center administrator: We have an opening for someone passionate about facilitating and building the interdisciplinary scientific community of the UW-CNC. Role includes administering training programs and outreach, grantwriting support for center grants, organizing conferences and meetings, and recruiting for the center, with opportunities for writing about the center and its science and more. Please send a cv/resume and statement of interest to cncadmin(a)uw.edu. Postdoctoral positions: We are hiring a postdoctoral fellow to join our Swartz Center for Theoretical Neuroscience, position available immediately. To apply send a research statement, cv and the contact information for at least two referees to cncadmin(a)uw.edu Graduate students: UW has numerous graduate programs suitable for students interested in neural computation. Funding and training opportunities are many, including NIH Training Program in Neural Computation and Engineering at UW, the Big Data in Genomics and Neuroscience Training Grant, the University of Washington Institute for Neuroengineering, and the Center for Sensorimotor Neural Engineering. See http://compneuro.washington.edu/studies-in-neural-computation-and-engineeri… for a list and for typical application deadlines. Adrienne Fairhall Eric Shea-Brown

Oct. 16, 2017

Postdoctoral Research position available immediately

by Avrama Blackwell

The Computational and Experimental Neuroplasticity laboratory (http://krasnow1.gmu.edu/CENlab/avrama.html) at George Mason University invites applications for a Postdoctoral Research position / software engineer beginning Oct 1, 2017. The successful candidate will contribute to ongoing, cutting-edge research in computational systems biology & neuroscience by further development of our stochastic reaction-diffusion software, NeuroRD and further development of parameter optimization software. CENlab is an interdisciplinary, dynamic and creative research group at Mason’s Krasnow Institute for Advanced Study, located in northern Virginia (15 miles west of Washington, D.C.). The hired applicant is expected to make valuable contributions to computational neuroscience software by (1) design and implementation of new features for NeuroRD (https://github.com/neurord/stochdiff) (2) extension of parameter optimization software (https://github.com/neurord/ajustadore) to signaling molecules and (3) investigating the role of calcium dynamics and cell signaling pathways in learning and plasticity. In each of these projects, the candidate is expected to contribute to publications and presentations on the new software as well as addressing neurobiological questions of interest. The candidate will closely interact with other members of CENlab including model developers and experimentalists. Requirements: Ph.D. in a relevant field (e.g. computer science, physics, bioinformatics, engineering) and at least one publication in reputable journal. Experience in software development (scientific software, python and C++ or JAVA preferred). Expertise with Unix operating systems. Knowledge of stochastic processes and biological processes. To apply, please respond to http://jobs.gmu.edu/postings/41446. Include curriculum vitae and cover letter; indicate whether you will be attending the 2017 SFN conference if you apply prior to Nov 8. Position will be filled as soon as a suitable candidate is found. The successful applicant will have office space, a unix computer workstation, and a post-doctoral level salary supplemented by excellent state employee benefits. More information: * NeuroRD website: https://github.com/neurord * Krasnow Institute for Advanced Study: http://krasnow.gmu.edu * George Mason University: http://www.gmu.edu George Mason University is an innovative, entrepreneurial institution with national distinction in a range of academic fields. Enrollment is 30,000, with students studying in over 150 degree programs at campuses in Arlington, Fairfax, Loudoun and Prince William. George Mason University is an equal opportunity employer encouraging diversity.

Oct. 16, 2017

Tenure Track Position in Applied Mathematics at Brandeis

by Jonathan Touboul

Brandeis University, Department of Mathematics, invites applications for a tenure-track position in applied mathematics at the rank of assistant professor beginning fall 2018. Candidates must have a Ph.D. in mathematics or a related field, demonstrate potential for excellence in research, and display a commitment to teaching. An ideal candidate will be expected to help to build an applied mathematics program within the department, and to interact with other science faculty at Brandeis. Candidates from all areas of applied mathematics will be considered. First consideration will be given to applications received by November 15. Applications should include an AMS cover sheet, a curriculum vitae, research and teaching statements, and four letters of recommendation, one of which addresses teaching effectiveness. Applications should be submitted through MathJobs.org <http://mathjobs.org/>: https://www.mathjobs.org/jobs/jobs/10791 <https://www.mathjobs.org/jobs/jobs/10791>

Oct. 14, 2017

Tenure-Track Position at University of Maryland: Neurobiology/Biophysics

by Daniel A. Butts

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

Oct. 13, 2017

NEST Conference 2017 --- Register NOW!

by Hans Ekkehard Plesser

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

Oct. 13, 2017

Two open faculty positions; U Colorado Medical School

by Zylberberg, Joel L

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

Oct. 12, 2017

Postdoctoral fellowship in the neuroscience of decision-making

by Paul Cisek

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)

Oct. 11, 2017

Postdoc positions available at University of Pittsburgh

by Runyan, Caroline A.

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

Oct. 11, 2017

Postdoctoral position at the University of Rochester

by Tatiana Pasternak

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)

Oct. 10, 2017

PhD positions at the Max Planck Research School for Neural Circuits, Frankfurt am Main, Germany

by Jochen Triesch

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

Oct. 10, 2017

2 postdoc positions in Geometric Methods for Deep and Reinforcement Learning at RIST

by Luigi Malagò

=========================================================== *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

Oct. 9, 2017

Doctoral studies in Computational/Theoretical Neuroscience at NYU

by Eero Simoncelli

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.

Oct. 9, 2017

Workshop announcement: The Probabilistic Brain, March 2018

by Ulrik Beierholm

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)

Oct. 8, 2017

[jobs] Assistant and Associate Professor positions in Bio- and Neural Robotics in Odense

by Poramate Manoonpong

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…

Oct. 8, 2017

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

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.

Oct. 6, 2017

Two Post-doctoral positions available in Rome

by Aldo Genovesio

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

Oct. 6, 2017

AoN Brainhack Warsaw 2017 - call for participants - early bird registration till 15.10

by Daniel Borek

*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*

Oct. 6, 2017

M-GATE: 15 PhD positions available in leading labs across Europe on the physiology and circuits of memory

by Francesco Battaglia

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.

Oct. 6, 2017

Open position: Expert in machine learning and high-performance computing

by Daniel Zysman

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.

Oct. 5, 2017

Lecturer (Assistant Prof.) in Computational Neuroscience at Univ. of Leicester

by Quian Quiroga, Rodrigo (Prof.)

We are currently recruiting a lecturer in computational neuroscience at the Centre for Systems Neuroscience (CSN) within the Department Neuroscience, Psychology and Behaviour (NPB), at the University of Leicester. The successful candidate will have an international research profile, and will advance an interdisciplinary program in synergy with CSN (for details see: www.le.ac.uk/csn) Particular areas of interest are advanced analysis and modeling of neurophysiological data, mechanisms of behavior, population activity and principles of neural coding. For details see: http://www.jobs.ac.uk/job/BEI917/lecturer-in-computational-neuroscience/ Cheers, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

Oct. 5, 2017

COSYNE 2018: Call for workshop proposals and Meeting announcement

by Tomas Hromadka

==================================================== 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.

Oct. 5, 2017

High performance computing workshop at SFN 2017

by Ted Carnevale

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

Oct. 4, 2017

Postdoctoral Position in Computational Approaches to Rodent Social Neurophysiology

by Liu, Robert C

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).

Oct. 4, 2017