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Translational Neurophysiology - RA, Postdoc, or Staff Scientist
by Platt, Jo Ann March 13, 2018

March 13, 2018

The Translational Neurophysiology Laboratory at the Center for Bioelectronic Medicine, headed by Assistant Professor Stavros Zanos MD PhD, focuses on physiological and translational research and development of bioelectronic devices and therapies in small (rodents) and large animal (swine) models. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, acute and chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, both in health and in disease models. The ultimate goal is to develop neuromodulation therapies that will observe the state of the organism and the organ system that is targeted, to deliver individualized treatment of diseases in real-time. The successful candidate will be involved in the development of novel paradigms to record from and adaptively modulate the function of the central and peripheral nervous system (brain, spinal cord, ganglia, peripheral nerves) in rodents, in healthy animals and in disease models. Mouse and rat stereotaxic brain surgery Extracellular and/or intracellular in vivo neurophysiology Histology, tract tracing Optogenetics Optical imaging Autonomic physiology Keywords : neurophysiology, small animal, rodent, recording, stimulation, brain, peripheral nerves, chronic implants, surgery, optogenetics, optical imaging, autonomic nervous system Qualifications : Doctorate degree (Ph.D, M.D. or D.V.M.), required (MSc for research associate candidates) Authored/co-authored research papers and/or scientific abstracts, required. Research experience in rodent neurophysiology, required. In vivo optical imaging and optogenetic stimulation experience, preferred. Knowledge of data analysis software (e.g. Matlab), preferred. Send email including cover letter, CV and publications to: jojoplatt(a)theplattassociates.com The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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M-GATE School: Under the Surface of Memory Phenomena
by Alessandro Treves March 12, 2018

March 12, 2018

TEX2018, the Cognitive Neuroscience summer activity at SISSA, Trieste will host this year "Under the Surface of Memory Phenomena", a school https://indico.sissa.it/e/tex2018/ organized by the M-GATE Innovative Training Network (https://www.mgate.eu/) open to other participants, from June 25 to July 3 2018. Apply now for 10-night accommodation, at cost (340 Euro), or register for self-organized participation (within space constraints), and join us also for the in-set symposium Remembering Daniel Amit, and Beyond! Deadline for applications April 2. Clever inquiries from tex(a)sissa.it -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602

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MBL Methods in Computational Neuroscience Course - deadline March 20
by Stephen A. Baccus March 12, 2018

March 12, 2018

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 29 to August 24, 2018, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 20*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2018 Course Directors: Stephen Baccus, Stanford University Xiao-Jing Wang, New York University 2018 Confirmed Faculty: Larry Abbott, Columbia University Carlos Brody, Princeton University Emery Brown, MIT Dmitri Chklovskii, Simons Institute Claudia Clopath, Imperial Col. London Kenji Doya, Okinawa Inst. Sci. Tech. Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Ila Fiete, University of Texas Austin James Fitzgerald, Janelia Res., HHMI Loren Frank, UCSF Michale Fee, MIT Stefano Fusi, Columbia University Surya Ganguli, Stanford University Mark Goldman, UC Davis Kenneth Harris, U. College London James Haxby, Dartmouth University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, Univ. of Southern California Jonathan Pillow, Princeton University David Redish, U. Minnesota Terry Sejnowski, Salk Institute Reza Shadmehr, Johns Hopkins Univ. Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Josh Tenenbaum, MIT Nao Uchida, Harvard University Greg Wayne, DeepMind Hongkui Zeng, Allen Institute

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New NSF funding opportunity
by Tuller, Betty K. March 12, 2018

March 12, 2018

APOLOGIES FOR MULTIPLE POSTINGS A new solicitation has been posted that might be of interest. It’s called The Future of Work at the Human-Technology Frontier: Advancing Cognitive and Physical Capabilities” (https://nsf.gov/funding/pgm_summ.jsp?pims_id=505528&org=NSF&sel_org=NSF&fro…) and is one of NSF’s “Ten Big Ideas.” For FY2018, there are two main themes: 1) Foundations for Augmenting Human Cognition 2) Embodied Intelligent Cognitive Assistants Letters of Intent are due April 16 and Full proposals are due June 4. Please take a look at the solicitation. Our sciences have a lot to say in this domain. Betty Tuller, Ph.D. Director, Program in Perception, Action, and Cognition National Science Foundation 2415 Eisenhower Avenue Alexandria, VA 22314 Tel: 703.292.7238 Fax: 703.292.9068 The PAC program has additional requirements for submission: http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5686. A new Proposal and Award Policies and Procedures Guide is now available at http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf18001<http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf16001>

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PhD position in neuroscience available immediately (Italy/USA)
by Carlos Andres Mendez Guerrero March 12, 2018

March 12, 2018

*PhD Position in neuroscience available immediately* A new European Research Council (ERC) Consolidator grant starts at the University of Torino, Italy, for 5 years (~ 2 million euros). The grant “LIGHTUP – Turning the cortically blind brain to see” is awarded to prof. Marco Tamietto (www.marcotamietto.com) The project investigates the neural correlates of visual awareness and of non-conscious vision in patients with *blindsight* and in non-human primates (macaques) with V1 destruction. To this aim, a broad range of methods will be used, including 3T and 7T (f)MRI, neurophysiological recordings and brain stimulation (TMS). The project is embedded in an outstanding international and interdisciplinary context, including the University of Oxford, UK, Tilburg University (NL) and NIH (USA), with granted access to their excellent facilities. We offer a full-time PhD Student post for 4 years. Applications of highly motivated candidates with interests in systems neuroscience, vision sciences and neuroimaging are welcomed. The successful applicant will be appointed by the University of Torino (Ita), but he/she will be expected to spend a significant amount of time at the NIH in Bethesda (USA). For more details (salary, requirements, contact..) please visit the laboratory website: http://www.marcotamietto.com

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Two open positions in circadian patterning of neural activity
by Meredith, Andrea March 6, 2018

March 6, 2018

Postdoctoral Positions Available in Electrophysiology and Imaging Two positions are available in the lab of Dr. Andrea Meredith, at the University of Maryland School of Medicine, to study the circadian patterning of neuronal activity. We are seeking a highly motivated team-players to contribute to our studies of the circadian regulation of intrinsic excitability and intracellular signaling in the suprachiasmatic nucleus (SCN) of the hypothalamus, the brain's intrinsic 'clock.' One project is an NIH BRAIN Initiative<https://www.braininitiative.nih.gov/>-funded study involving high resolution imaging with novel FRET-based sensors to record rhythmic signals in SCN neurons and the circuit. Other projects involve deciphering the biophysical mechanisms that contribute to circadian regulation of membrane excitability by the large conductance Ca2+-activated BK channel and other ion channels (see Nature Neuroscience 9:1041<https://www.nature.com/articles/nn1740>, 2006; Nature Communications 7:10837<https://www.nature.com/articles/ncomms10837>, 2016; and Journal of General Physiology 15:259<http://jgp.rupress.org/content/150/2/259.long>, 2018). The Meredith Lab (http://meredithlab.org) is focused on understanding the mechanisms that contribute to circadian regulation of membrane excitability and daily oscillations in action potential activity in the SCN circuit, using techniques such as voltage- and current-clamp, multi-electrode array recordings, imaging, molecular biology, transgenics, and in vivo telemetry. Requirements: We are seeking candidates with a PhD in neuroscience, biophysics, physiology, or other relevant field. Experience with electrophysiological recordings or imaging is required. Excellent oral and written communication skills (fluent in English) required. To apply: Please send by email to Dr. Andrea Meredith (ameredith(a)som.umaryland.edu<mailto:ameredith@som.umaryland.edu>) with: - your CV - a letter describing your research accomplishments, expertise, and career goals - contact information for three references The Department of Physiology (http://medschool.umaryland.edu/physiology) offers outstanding research and NIH-funded postdoctoral training opportunities. The University of Maryland School of Medicine, located in downtown Baltimore, is the oldest public medical school in the U.S. and the founding campus of the University of Maryland system. The School of Medicine ranks 6th among all 76 public medical schools. ___________________________________________________________ Andrea Meredith, PhD Associate Professor Dept. of Physiology and Program in Neuroscience University of Maryland School of Medicine 655 W. Baltimore Str. BRB 5-002 Baltimore, MD 21201 410-706-5991<tel:410-706-5991> office ameredith(a)som.umaryland.edu<mailto:ameredith@som.umaryland.edu> http://meredithlab.org<http://meredithlab.org/>

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6th Baltic-Nordic Summer School on Neuroinformatics (BNNI 2018)
by Marja-Leena Linne March 6, 2018

March 6, 2018

6th Baltic-Nordic Summer School on Neuroinformatics (BNNI 2018) Understanding the Brain: from Neuroscience to Deep Learning Place: Ventspils University of Applied Sciences Inženieru 101, Ventspils Latvia Time: 11-13 June 2018 More information and applications at: web.lsmuni.lt/bnni2018/en<http://web.lsmuni.lt/bnni2018/en> Important dates: 2 April 2018: Application deadline 15 April 2018: Acceptance notification 11-13 June 2018: School We invite advanced master students, doctoral students, and postdoctoral researchers to participate in the BNNI 2018 to be held at the Ventspils University of Applied Sciences, Ventspils, Latvia in 11-13 June 2018. The course is interdisciplinary and covers modeling at different levels of organization of the brain. Additionally this year's training course is planned more diverse and will include also EEG/SEEG signal processing techniques, forward and inverse modeling of the brain and various aspects of deep learning algorithms. This school is the sixth in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, Lithuania; BNNI 2014 in Tampere, Finland; BNNI 2015 in Tartu, Estonia; BNNI 2016 in Warsaw, Poland, BNNI 2017 in Kaunas, Lithuania). The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain will be desirable but not necessary to benefit from the school. Last year we had participants from 14 countries all over the world! Faculty includes: Marja-Leena Linne, Tampere University of Technology, Finland; The Human Brain Project Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, and Vytautas Magnus University, Kaunas, Lithuania Bruce Graham, University of Stirling, UK Daniel Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland Arnd Roth, University College London, UK Peter Jedlicka, NeuroScience Center, Goethe-University, Frankfurt, Germany Gaute Einevoll, UiO Department of Physics The Faculty of Mathematics and Natural Sciences, Norway Radu Ranta, CRAN, University of Lorraine, France Louis Maillard, CHRU Hôpital central - Nancy, CRAN, University of Lorraine, France Janis Hofmanis, Smart Technology Research Center, Ventspils University of Applied Sciences, Ventspils, Latvia and others. Venue The lectures will be held at the Ventspils University of Applied Sciences, Inženieru 101, Ventspils, Latvia. Practical arrangements There is a small tuition fee of 50 euros. The organizers will provide teaching materials, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses as well as lodging. Although Student accommodation will be available at a reduced cost. Ventspils University of Applied Sciences can provide a student dormitory rooms - 2 students per room, 2 rooms per block. One block costs 51 EUR (12,75 EUR for one person per night). We are looking forward to welcome you at the BNNI 2018 in Ventspils, Latvia!

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CFP- Special issue on Robots and Smart Environments
by Amir Aly March 6, 2018

March 6, 2018

*Cognitive Systems Research (CSR) Journal* CALL FOR PAPERS **Apologies for cross posting ** We are happy to call for papers for the journal special issue: "*Social Cognitive Systems in Smart Environments: Approaches for Learning, Reasoning, and Adaptation*" *Webpage: **https://www.journals.elsevier.com/cognitive-systems-research/call-for-papers/special-issue-social-cognitive-systems-in-smart-environment <https://www.journals.elsevier.com/cognitive-systems-research/call-for-paper…> * <http://cognitive-mirroring.org/en/events/hai2017_workshop/> *I. Aim and Scope * A “smart” environment incorporates intelligent systems (e.g., smart home, smart factory, smart city, smart car etc.) employing heterogeneous devices, such as: sensors, actuators, cameras, networks, and screens. Within such a smart environment, autonomous agents can take on an important mediating role between human users and the environment. This is particularly true if high-level cognitive functions and computational intelligence are employed to handle the uncertainty of the complex environment so as to allow agents to act appropriately within different contexts of interaction. Using robotic systems in smart environments opens the door to several socio-cognitive applications, such as: reducing cognitive load for individuals interacting with a smart environment, assisting the elderly and people with cognitive disabilities in mobility and daily tasks (which requires robots to learn the multimodal characteristics of human behavior and to spatially perceive the environment containing other smart objects to decide the best way to employ/manipulate them in order to successfully perform tasks), and developing a cloud-connected robot system to incrementally share knowledge between robots in different smart environments about the behavioral characteristics of human users in order to interact with them adaptively. To meet the requirements of these target applications, robots need to be able to learn how to use the capabilities of their smart environments to better address the needs of the human users. Industrial applications of such technologies include factories of the future and the digital eco-system within an autonomous car. This special issue aims to shed light on cutting edge lines of interdisciplinary research in cognitive science, artificial intelligence, and robotics covering basic research and applications. Recent advances and possible future research avenues on smart robots and environments would be discussed in detail in this journal special issue. *II. Potential Topics* Topics relevant to this special issue include, but are not limited to: - Cyber-physical systems in smart environments - Multimodal human robot interaction - Cognitive modeling of human behavior - Cognitive architectures and strategies for intelligent interaction with the environment - AI and machine learning approaches applied to human-robot-environment interaction - Internet of things - Ambient assisted living - Infotainment in smart vehicles - Natural user interface design - Cloud robotics - Ubiquitous computing *III. Submission* Submissions to the special issue must include original research that has not been published nor submitted to other journals. Authors should prepare their manuscript according to the "Guide for Authors" available at the journal homepage: http://www.journals.elsevier.c om/cognitive-systems-research/. Papers should be submitted through the EVISE system: https://www.evise.com/evise/jrnl/cogsys. Authors should select "*VSI:Smart Environments"* as the article type during the submission process. *IV. Timline (Submission portal will be open on March 1, 2018)* - Deadline for paper submission: April 30, 2018 - First notification for authors: July 31, 2018 - Deadline for revised papers submission: September 30, 2018 - Final notification for authors: November 30, 2018 - Deadline for submission of camera-ready manuscripts: January 15, 2019 *V. Guest editors* Dr. Amir Aly, Ritsumeikan University, Japan (amir.aly(a)em.ci.ritsumei.ac.jp) Dr. Shashank Pathak,Visteon Corporation, Germany ( shashank.pathak(a)visteon.com) Dr. Sean Andrist, Microsoft Research, USA (sandrist(a)microsoft.com) Prof. Armando Tacchella, University of Genoa, Italy ( armando.tacchella(a)unige.it) ------ *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

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NeuroBridges 2018 announcement
by Ahmed El Hady March 6, 2018

March 6, 2018

*/NeuroBridges 2018 Summer school , Cluny, France/* */( October 2nd - October 12th, 2017 )/* I would like to bring to your attention the *NeuroBridges 2018 Computational Neuroscience School*. <http://decision-making-lab.com/NeuroBridges/neurobridges2018.html> NeuroBridges <https://www.facebook.com/NeuroBridges/>is a one-of-a-kind series of scientific meetings in brain research, which brings together Mediterranean and Middle Eastern scientists, in order to promote international scientific cooperation in system and computational neuroscience. A major goal of this school is to serve as a bridge between experimental and theoretical neuroscientists, addressing system-level questions. The organizers of NeuroBridges also believe that these scientific collaborations can lead to personal relations, which eventually may help alleviate the political distress in the Middle East. Following the success of NeuroBridges 2017 <http://decision-making-lab.com/NeuroBridges/neurobridges2017.html> school, NeuroBridges 2018 <http://decision-making-lab.com/NeuroBridges/neurobridges2018.html> will be a nine day summer school <http://decision-making-lab.com/NeuroBridges/neurobridges2018.html>, which will take place in Cluny, France. The school is organized by Ahmed El Hady (Princeton), David Hansel (CNRS) and Yonatan Loewenstein (Hebrew University). It will be comprised of lectures delivered by a group of leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions in contemporary neuroscience. In addition to the lectures, the students will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily from the Middle East and the Mediterranean region, either working in their home countries or abroad. We will consider applicants with some background in applied mathematics, computer science, electrical engineering or physics, interested in theoretical brain and cognitive sciences. We will also consider those with biological or medical background given that they show proof of basic mathematical knowledge. The school will take place between October 2 and October 12, 2018 in Le Centre de Conférences Internationales de Cluny (CCIC). Cluny is a small medieval town in Burgundy, France, located about 400km southeast of Paris (accessible by fast train, TGV). The deadline for application is *May 31st, 2018 *and the following is the website including the link for the online application: http://decision-making-lab.com/NeuroBridges/neurobridges2018.html For more information, please contact neurobridges2018(a)gmail.com <mailto:neurobridges2018@gmail.com>.

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4th FUNCTIONAL ARCHITECTURE OF MEMORY (FAM) CONFERENCE
by Laura Montero March 5, 2018

March 5, 2018

*Dates May 23rd, 2018 to May 25th, 2018 * *Place LEIBNIZ INSTITUT FOR NEUROBIOLOGY, Magdeburg, Germany * About the Event The Fourth international conference on the FUNCTIONAL ARCHITECTURE OF MEMORY May 23th to 25th 2018 (Leibniz Institute for Neurobiology, Magdeburg - Germany) is organized by Prof. Dr. M. Sauvage. The FAM conference aims at bringing new insights on today's major controversies in recognition memory by bridging human and animal memory function. Twenty of the world-leading experts on the medial temporal lobe and memory function will discuss findings obtained using behavioral, imaging, electrophysiological, mutagenesis and computational techniques. The conference will start by a 5min blitz session that attendants are welcome to contribute to, and a “speakers/students-only brainstorming session” takes place each day. The number of participants is limited to 100 (first-come first-served basis) and registration can be made at https://www.ruhr-uni-bochum.de/philosophy/famconference/# FAM conference Speakers: Jozsef Csicsvari (IST, Austria) Emrah Düzel (DZNE, Germany) Paul Frankland (Sickkids Toronto, Canada) James Knierim (Johns Hopkins Univ., USA) Pierre Lavenex (Lauzanne univ., Switzerland) Stefan Leutgeb (UC San Diego, USA) Thomas McHugh (RIKEN, Japan) Shane OMara (Trinity College, Ireland) Charan Ranganath (UC Davis, USA) Magdalena Sauvage (LIN, Germany) Steven Siegelbaum (Columbia U, USA) Wendy Suzuki (New York University, USA) Clea Warburton (Bristol University, UK) Thomas Wolbers (DZNE, Germany) Menno Witter (Kavli Institute, Norway) Motoharu Yoshida (DZNE, Germany) Contact Laura Montero Leibniz Institute for Neurobiology Functional Architecture of Memory Dpt Brenneckestrasse, 6 39118 Magdeburg Germany Phone: +49-391-6263-94531 Email: <http://www.fens.org/News-Activities/Calendar/Meetings/2018/05/4th-FUNCTIONA…> 4thfamconference(a)gmail.com Website: https://www.ruhr-uni-bochum.de/philosophy/famconference/#

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Computational & Cognitive Neuroscience (CCN) Summer School -- DEADLINE EXTENSION TO MARCH 14
by Murray, John March 5, 2018

March 5, 2018

*** APPLICATION DEADLINE EXTENDED TO MARCH 14, 2018. *** We are pleased to announce the 8th Computational and Cognitive Neuroscience (CCN) Summer School which will take place June 26 — July 19, 2018, at Cold Spring Harbor Asia (CSHA) in Suzhou, China. Please distribute this announcement to your department and colleagues. The CCN summer school is a unique international summer school focusing on systems neuroscience and cognition from a computational and theoretical perspective. Lectures from leading international faculty in experimental, computational and theoretical neuroscience are tightly coupled with computational tutorials in a series of modules. Each module covers a core area, integrating experimental, theoretical and computational perspectives. The course aims to train talented and highly motivated graduate students and postdoctoral fellows from around the world. Applicants with quantitative (including Physics, Mathematics, Engineering and Computer Science) or experimental backgrounds are welcome. The summer school also has the mission of training and integrating students from diverse academic, cultural and geographic backgrounds. The practical training includes learning Python-based approaches to programming, data analysis and modeling. Students work through tutorials designed with the faculty and then design, plan and complete a series of open-ended projects for each module. Course information is available on the CCN official website: http://www.ccnss.org/ Applications are being accepted now through the CSHA website: https://www.csh-asia.org/2018meetings/S-COSYNE.html The application deadline is March 14th, 2018. Course Directors: Xiao-Jing Wang (New York University) Zach Mainen (Champalimaud Neuroscience Program) Si Wu (Beijing Normal University) John D. Murray (Yale University) Eric DeWitt (Champalimaud Neuroscience Program) CCN 2018 Lecturers: Eric DeWitt (Champalimaud Research) Shaul Druckmann (Stanford) Jeff Erlich (NYU Shanghai) Birte Forstmann (U Amsterdam) David Foster (UC Berkeley) Julijana Gjorgjieva (MPI Brain Research) Michael Hausser (UCL) Alex Huth (UT Austin) Chris Honey (Johns Hopkins) Sukbin Lim (NYU Shanghai) Zach Mainen (Champalimaud Research) John Murray (Yale) Peggy Series (U Edinburgh) Maurice Smith (Harvard) Xiao-Jing Wang (NYU) Si Wu (Beijing Normal) Byron Yu (Carnegie Mellon) + more! Best regards, CCN SS Directors: Xiao-Jing Wang, Zach Mainen, Si Wu, John Murray, Eric DeWitt John D. Murray ----------------------------------------------- Assistant Professor Department of Psychiatry Yale University School of Medicine murraylab.yale.edu<http://murraylab.yale.edu/> -----------------------------------------------

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CNS*2018 Abstract DEADLINE EXTENSION to March 12
by Sharon Crook March 2, 2018

March 2, 2018

As always, apologies for multiple posts. CNS*2018 Call for Abstracts DEADLINE EXTENSION Organization for Computational Neurosciences (OCNS) 27th Annual Meeting Seattle, USA July 13-18 Local Organizers: Christof Koch, Adrienne Fairhall, Eric Shea-Brown The main meeting begins the evening of Friday July 13 and runs through Monday July 16. It will be preceded by a day of tutorials (Friday July 13) and followed by two days of workshops (Tuesday July 17 and Wednesday July 18). Invited Keynote Speakers: Eve Marder, Brandeis University Nancy Kopell, Boston University Daniel Wolpert, University of Cambridge Rajesh Rao, University of Washington The abstract submission deadline has been extended to MARCH 12, 2018 at 11pm Pacific Time. This will be the final deadline for abstract submission. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. Abstract Submission: http://www.cnsorg.org/cns-2018-abstract-submission Registration: https://ocns.memberclicks.net/index.php?option=com_mc&view=mc&mcid=form_243… For up-to-date conference information, please visit: http://www.cnsorg.org/cns-2018 -------------------------------------------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org

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[publication and call for dialog] IEEE CIS Newsletter on Cognitive and Developmental Systems
by Pierre-Yves Oudeyer March 2, 2018

March 2, 2018

Dear colleagues, we are happy to announce the release of the latest issue of the IEEE CIS Newsletter on Cognitive and Developmental Systems (open access). This is a biannual newsletter addressing the sciences of developmental and cognitive processes in natural and artificial organisms, from humans to robots, at the crossroads of cognitive science, developmental psychology, artificial intelligence, machine learning and neuroscience. It is available at: http://goo.gl/pA7WrH Featuring dialog: === "One developmental architecture to rule them all?" == Dialog initiated by Matthias Rolf, Lorijn Zaadnoordijk and Johan Kwisthout with responses from: Niels Taatgen, John Spencer, Gary Jones, Gerard Wolff, Clément Moulin-Frier and Paul Verschure == Topic: Humans have a unique capability to achieve and learn a wide diversity of skills of all kinds, from low-level sensorimotor skills to very abstract linguistic or mathematical skills. Is it possible to develop theories of how general cognitive architectures can display such a general flexibility for skill learning? This dialog adresses this question, and discusses whether and how it would be useful both epistemologically and in practice to aim towards the development of a “standard integrated cognitive architecture”, akin to “standard models” in physics, or whether focusing on simple and partial models should be a better approach. In particular, this question is discussed in the context of understanding development in infants, and of building developmental architectures, thus addressing the issue of architectures that not only learn, but that are adaptive themselves. Call for new dialog: === "Curiosity as Driver of Extreme Specialization in Humans" == Dialog initiated by Celeste Kidd == This dialog asks the question of why and how humans can be driven to extremely specialize. In particular, it proposes the hypothesis that curiosity may play a fundamental role in this process, and highlights many important open questions about how this could happen, and what are the actual mechanisms of curiosity-driven exploration and learning. Those of you interested in reacting to this dialog initiation are welcome to submit a response by May 30th, 2018. The length of each response must be between 600 and 800 words including references (contact pierre-yves.oudeyer(a)inria.fr) Let us remind you that all issues of the newsletter are all open-access and available at: https://goo.gl/ZjjZNz I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Cognitive and Developmental Systems Research director, Inria Head of Flowers project-team Inria and Ensta ParisTech, France http://www.pyoudeyer.com Twitter: https://twitter.com/pyoudeyer and Fabien Benureau Assistant Editor Inria Mnemosyne team http://fabien.benureau.com

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Stanford University Job Opportunities: Postdoctoral Fellowship
by Christina Atkinson March 1, 2018

March 1, 2018

Stanford University’s Department of Psychiatry & Behavioral Sciences is seeking to hire a full time post-doctoral fellow for their Cognitive & Systems Neuroscience Laboratory. This lab is headed by Dr. Vinod Menon who has broad multidisciplinary expertise that spans several scientific disciplines and has published extensively on various aspects of human cognition and brain function. Explore our lab website for more information: http://med.stanford.edu/scsnl.html. POSTDOCTORAL FELLOWSHIP IN COMPUTATIONAL MODELING OF BRAIN NETWORKS Currently Available: The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for a postdoctoral fellowship in computational modeling of human brain imaging data using deep neural networks. The successful candidate will be involved in a multidisciplinary project that seeks to develop novel computational frameworks for robust identification of neurobiological signatures of psychiatric and neurological disorders combining deep learning and convolution networks and dynamic brain circuit analyses with task and resting-state fMRI. Clinical disorders currently under investigation include autism, ADHD, anxiety and mood disorders, learning disabilities, schizophrenia, and Parkinson’s disease. We seek talented and highly-motivated individuals with a strong background in at least one of these areas: deep learning algorithms and optimization (theory and practical implementations); computational modeling, statistical inference, and machine learning, especially as applied to fMRI and MRI data. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPGPUs. Please email a CV, statement of research interests and relevant background, and have three letters of reference sent to Drs. Vinod Menon and Aarthi Padmanabhan at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford@gmail.com> <mailto:scsnl.stanford@gmail.com>

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7th International Summer School of Neuroengineering "Massimo Grattarola"
by Paolo Massobrio March 1, 2018

March 1, 2018

Call for applicants of the 7th International Summer School of Neuroengineering "Massimo Grattarola" Neurotechnologies and Computational Methods to Interact with the Brain The 7th International Summer School of Neuroengineering "Massimo Grattarola" aims to introduce computational and technological methods to researchers of different backgrounds (life sciences, physics, engineering) to interact with the brain. The first two days will deal with brain dynamics giving particular emphasis to the role of the connectivity and computational models of the brain at different level of abstraction, as well as hardware and software platforms to simulate such dynamics. During the 3rd day, the recent advancements for increasing the quality of the recordings and for delivering efficient stimulating protocols will be discussed. Finally, the last day will provide examples of neuroengineering paradigms for designing new neuroprostheses to interact with the brain and their clinical applications to increase the quality of life. A practical experimental session using high-density EEG set-up and multi-electrode arrays for in vitro/in vivo applications is foreseen. Dates: 18th-22nd June 2018 Location: Genova (Italy) Registration: Registrations will open during the first week of March. Participation is limited to 60 attendees (students, post-docs, .). Website: www.neuroengineering.eu <http://www.neuroengineering.eu> Poster session: Students attending the school will have the opportunity to present their results in a two-days poster session. Confirmed speakers: Miguel Nicolelis (Duke University), Shimon Marom (Technion Israel Institute of Technology), Matias Palva (Univ. Helsinki), Andreas Hierlemann (ETH), Tim Harris (Janelia Research Campus), Lucilla de Arcangelis (Univ. of Campania), Annalisa Bonfiglio (Univ. Cagliari), Sylvie Renaud (Bordeaux INP), Valentina Pasquale (Italian Institute of Technology), Michele Giugliano (Univ. Antwerp), Michele Migliore (CNR), Silvia Casarotto (Univ. Milano), Michela Chiappalone (Italian Institute of Technology), Stanisa Raspopovic (ETH). Best regards Paolo Massobrio _________________________________________________ Paolo Massobrio, PhD Assistant Professor of Bioengineering Neuroengineering and Bio-Nano Technology - NBT - Lab Department of Informatics, Bioengineering, Robotics and System Engineering - DIBRIS University of Genova Via Opera Pia 13, 16145, GENOVA, ITALY Phone: +39-010-3532761 Fax: +39-010-3532764 URL: <http://www.dibris.unige.it/> www.dibris.unige.it; <http://www.nbt.unige.it> www.nbt.unige.it E-mail: <mailto:paolo.massobrio@unige.it> paolo.massobrio(a)unige.it

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Post-doctoral position in Computational Neuroscience, Moreno-Bote Lab, Barcelona, Spain
by Ruben Moreno Bote March 1, 2018

March 1, 2018

Post-doctoral position Computational Neuroscience, Moreno-Bote Lab University Pompeu Fabra, Barcelona, Spain We are looking for strong post-doctoral candidates interested in joining the group of Theoretical Neuroscience of Rubén Moreno-Bote lab. We are looking for excellent post-doctoral candidates with Physics, Mathematics or Machine Learning background, ideally with knowledge of Neuroscience or Computational Neuroscience, and interested in theory and applications. The publication record of the candidate should be very strong in his/her respective discipline. The candidate will develop state of the art mathematical techniques to understand neuronal dynamics and will have access to multielectrode recording neural data. He/she could also be involved in the design of electrophysiology experiments through our collaborators. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (http://www.upf.edu/pdi/ruben-moreno-bote) forms part of a larger network of neuroscience labs in Barcelona (http://www.barcelonaneuroscience.com) Financial support is provided by the Howard Hughes Medical Institute and the Spanish MINECO. APPLICATION: A full CV in pdf format, a 1 page project in pdf format, and names and email addresses of 2 referees should be sent to the following address: ruben.moreno(a)upf.edu Informal inquiries are welcome. DEADLINE: up to the position is filled STARTING DATE: any time between September 2018 and January 2019 -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella, Building 24, office 331 Ramon Trias Fargas, 24-27 08005 Barcelona, Spain http://www.upf.edu/pdi/ruben-moreno-bote

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Summer course: CAMP@Bangalore 2018 Announcement email
by U.S.Bhalla March 1, 2018

March 1, 2018

Subject:Course announcement: CAMP@Bangalore 2018 We would like to announce CAMP@Bangalore 2018 from 1-16 July 2018. Please see the course website at http://camp.ncbs.res.in/. CAMP @ Bangalore (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school on the theory and simulation of learning, memory and plasticity in the brain. The flavour of this year's CAMP is "Sequences in the brain". The course consists of 3 modules covering sub-cellular electrical models, micro-circuits and network models, detailed models with electrical and chemical components, and systems level models, all with an emphasis on learning, memory and plasticity. All modules will have their own hands-on projects. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Confirmed instructors include: Arvind Kumar (KTH Royal Institute of Technology, Stockholm) Charan Ranganath (University of California, Davis) Collins Assisi (Indian Institute of Science Education and Research, Pune) Dean Buonomano (University of California, Los Angeles) Moshe Abeles (Bar Ilan University, Israel) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Robert Guetig (Max Planck Institute of Experimental Medicine, Germany) Sachin Deshmukh (Indian Institute of Science, Bengaluru) Suhita Nadkarni (Indian Institute of Science Education and Research, Pune) Upinder Bhalla (National Centre for Biological Sciences, Bangalore) Course Organizers: Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (IISc, Bangalore) Upinder Bhalla (NCBS, Bangalore)

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Postdoc to study hippocampal information processing in Canavier lab
by Canavier, Carmen C. Feb. 28, 2018

Feb. 28, 2018

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. The position is 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. If interested, please apply, preferably by March 31st 2018 at https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/1… 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. If you have questions, please email Dr. Canavier at ccanav(a)lsuhsc.edu. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

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Postdoc, Deep Microscopy, Berlin
by Judkewitz, Benjamin Feb. 27, 2018

Feb. 27, 2018

Postdoc position available at the Judkewitz Lab! Join our team of neuroscientists, engineers, biologists and physicists in Berlin. Your mission: develop deep brain microscopy techniques and boldly focus where no one has shaped wavefronts before. http://jlab.berlin/jobs

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4-year fully-funded Ph.D. Position in Computational Neuroscience at the Donders Institute
by Bernhard Englitz Feb. 27, 2018

Feb. 27, 2018

Dear List, please distribute the following position announcement to finishing M.Sc. students with strong skills in (computational) neuroscience interested in pursuing a Ph.D. in Neuroscience. Thanks & best wishes, Bernhard Bernhard Englitz, Ph.D. Assistant Professor Department of Neurophysiology Donders Centre for Neuroscience Faculty of Science, Radboud Universiteit Heyendaalseweg 135, 6525 AJ Nijmegen --------------------------------------------------------------------------------------------------------------------------- Project : As a PhD Candidate you will work on a project entitled ‘Neural Mechanisms of Processing and Recognizing Complex, Statistical Sounds’. This project is funded by the Netherlands Organisation for Scientific Research (NWO) and will be conducted at Radboud University in Nijmegen. The main research question is how the brain represents and processes acoustic stimuli which are only defined on a statistical level. These stimuli have a high behavioural relevance, since many natural stimuli have this character. The PhD project will involve a combination of neural population recordings from multiple areas of the auditory and parietal cortex of behaving mice, and their subsequent data analysis. Individual cells will be identified using specific genetically modified mouse lines and matched optogenetic tools. The main outcome of the research will be an expansion of our knowledge of auditory processing, which may have far-reaching implications for the processing of sounds in hearing aids and smart phones. Scientific Environment : The Donders Institute for Brain, Cognition and Behaviour consists of three research centres, the Centre for Cognition, the Centre for Cognitive Neuroimaging and the Centre for Neuroscience. It focuses on state-of-the-art cognitive neuroscience in a multidisciplinary approach, and offers excellent lab and neuroimaging facilities. The position will be hosted at the Neurophysiology department, which provides a high-quality neuroscience environment with facilities for chronic and non-chronic multi-channel recordings, imaging and computational modelling. The department’s research questions address issues in fundamental and applied research, and enable the interaction of theory and experimental work in a single location. The Donders Institute is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Radboud University offers a parental leave scheme and day care on campus. Qualifications : MSc degree in (computational) neuroscience, engineering or biology; experience with animal physiology, programming and data analysis; a proactive attitude, good communication skills, and the ability to work effectively in a multidisciplinary team. Application Link : http://www.ru.nl/english/working-at/jobopportunities/details/details-vacatu… <http://www.ru.nl/english/working-at/jobopportunities/details/details-vacatu…> Closing Date of Call : 30.3.2018 Planned Starting Date : 1.9.2018

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Postdoctoral Position in Systems Neurophysiology of Social Bonding in Rodents
by Liu, Robert C Feb. 27, 2018

Feb. 27, 2018

Postdoctoral Position in Systems Neurophysiology of Social Bonding in Rodents 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 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). The research aims to use behavioral and neurophysiological activity to build predictive models of social dynamics leading to a pair bond, and investigate the role that oxytocin plays in mediating these activities. PhD required. We are looking for a candidate who approaches neuroscience with a systems or circuit perspective and is interested in the neuroscience of social behavior. Training in any of the following areas would be viewed favorably: in vivo electrophysiology, optogenetics, computational data analysis, sensorimotor integration, reward and reinforcement. 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 March 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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Postdoctoral fellowships at the Gatsby Unit
by Maneesh Sahani Feb. 27, 2018

Feb. 27, 2018

The Gatsby Computational Neuroscience Unit invites applications for one or more postdoctoral training fellowships in theoretical neuroscience and related areas. Neuroscience research in the unit focuses on the interpretation of neural data, population coding, perceptual processing, neural dynamics, neuromodulation, and learning. We have strong connections with experimental neuroscience and cognitive science groups at UCL (particularly in the Sainsbury-Wellcome Centre for Neural Circuits and Behaviour with which the Unit shares a new purpose-built home) and at institutions around the world. The Unit also has significant interests across a range of areas in machine learning, and is perhaps unique in the way these fields are brought together. The fellowships are suitable for candidates with a doctoral degree and previous experience in relevant theoretical neuroscience or machine learning research. We are especially keen to recruit fellows with expertise in the modelling of perception or population-scale neural data. Full details of the fellowships, and information on how to apply, are available at http://www.gatsby.ucl.ac.uk/vacancies/TN%20Fellows/TN-2018.html The closing date for applications is 23rd Mar 2018. If you have questions unanswered by the website, please contact me by email or in person at Cosyne. -- Maneesh Sahani, Ph.D. Professor of Theoretical Neuroscience and Machine Learning, Director, Gatsby Computational Neuroscience Unit UCL, 25 Howland Street, London W1T 4JG

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Post-doc in Neurophysiology of Attention at UCLA
by Bisley, James Feb. 27, 2018

Feb. 27, 2018

Apologies for cross-posting We invite applications for a fully funded post-doc position studying the neurophysiology of attention. The work will include recording from &/or the reversible inactivation of cortical areas MT, LIP and FEF while animals perform a visual search task utilizing moving dot patterns. For more information about the sort of work done in the lab, check out our publications at http://www.bri.ucla.edu/people/james-w-bisley-phd. Applicants should have a strong background in systems neurophysiology, behavioral training or computational neuroscience and be comfortable working independently on all aspects of the project. Previous experience with NHP recording and data analysis is desirable. Candidates should hold a PhD in neuroscience, psychology or a related discipline. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a brief statement of research experience and interests, expected date of availability, and the contact information for two references to James Bisley (jbisley(a)mednet.ucla.edu<mailto:jbisley@mednet.ucla.edu>). Cheers, James ________________________________ UCLA HEALTH SCIENCES IMPORTANT WARNING: This email (and any attachments) is only intended for the use of the person or entity to which it is addressed, and may contain information that is privileged and confidential. You, the recipient, are obligated to maintain it in a safe, secure and confidential manner. Unauthorized redisclosure or failure to maintain confidentiality may subject you to federal and state penalties. If you are not the intended recipient, please immediately notify us by return email, and delete this message from your computer.

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Computational Postdoc - Cold Spring Harbor Laboratory - Long Island, New York
by Engel, Tatiana Feb. 27, 2018

Feb. 27, 2018

The Engel and Churchland labs in the Department of Neuroscience at Cold Spring Harbor Laboratory invite applications from highly motivated candidates for a postdoctoral position working on a collaborative project between the two labs. The position is entirely computational and truly interdisciplinary with equal (50/50) effort in the Churchland (experimental) and Engel (computational) labs. The project’s goal is to unravel functional roles of excitatory and inhibitory neurons in the decision-making microcircuit through computational analyses of large-scale neural activity recordings and biophysical circuit modeling. In particular, we will develop and deploy novel machine learning frameworks for discovering collective network dynamics from large-scale activity recordings in mice with genetically identified excitatory and inhibitory neurons. These data analyses will provide hard constraints for biophysical models of the decision-making microcircuit, which will be then inferred using deep learning methods. We are looking for theoretical/computational scientists to work at the exciting interface of systems neuroscience, machine learning, and biophysics, embedded within the computational and experimental labs. The postdoctoral scientist is expected to exhibit resourcefulness and independence, developing computational models of large-scale neural activity recordings with the goal to elucidate excitatory/inhibitory neural circuits underlying decision making. Interested candidates should e-mail their application to Tatiana Engel (engel(a)cshl.edu<mailto:engel@cshl.edu>) and Anne Churchland (churchland(a)cshl.edu<mailto:churchland@cshl.edu>) as a single pdf file with subject: Postdoc Application. The application file should include: (1) CV with the publication list, (2) a brief description of research interests, (3) contact information for three references. In addition, the candidates should upload their application online at http://cshl.peopleadmin.com/postings/13170 Position requirements: - PhD in neuroscience, physics, mathematics, computer science, engineering or related quantitative discipline - Expertise in scientific programming, e.g., Python, Matlab, C/C++, CUDA - Expertise in statistics, data analyses, and/or machine learning - Experience with deep learning methods is a plus - Experience with database software is a plus - Track record of publications in scientific journals - Effective communication skills, both written and oral - Dedication and passion for solving hard scientific problems -- Tatiana Engel, PhD Assistant Professor Cold Spring Harbor Laboratory 1 Bungtown Road, Cold Spring Harbor, NY (+1) 408 409 3647

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2 year postdoc : Graph Signal Processing at IMT Atlantique
by Nicolas Farrugia Feb. 27, 2018

Feb. 27, 2018

IMT Atlantique has an opening for a fully-funded two-year postdoctoral fellowship open immediately and starting no later than June 2018, to work on Graph Signal Processing and potential applications to Neuroimaging. The host team is Br.A.In. (Brain-inspired Artificial Intelligence http://www.brain.bzh) and is in the Brest Campus. The call for the position can be downloaded here : http://recherche.telecom-bretagne.eu/brain/wp-content/uploads/2018/02/postd… Scientific context Several application domains rely on multivariate spatiotemporal signals such as transportation networks, energy network, social networks or neural networks. Under the natural assumption that the signal properties are related to the topology of the graph where they are supported, graph signal processing (GSP) offers algorithms that fruitfully leverage this relational structure, and can make inferences about these relationships when they are only partially observed. Developing GSP tools specifically intended to advance modeling and analytics of multivariate signals is a new, fertile area of investigation. In particular, the positionning of the Br.A.In. project regarding GSP is targetted towards the following issues: (1) finding optimal graph representations and adapting machine learning approaches accordingly, (2) generalizing GSP approaches to dynamic graphs in order to fully capture the spatiotemporal complexity of multivariate signals, and finally (3) developing new approaches to enhance the understanding and interpretability of machine learning and deep learning methods using metrics derived from GSP. We are seeking a candidate that will contribute to our research effort on GSP by proposing innovative theoretical approaches, or extensions to existing approaches, related to at least one of the aforementioned issues. Our main target application is the analysis, decoding and interpretability of Neuroimaging data (Electroencephalography EEG or functional Magnetic Resonance Imaging fMRI), but candidates with interest or background in other application domains are encouraged to apply as well. Details and requirements The present postdoctoral fellowship is funded by the Sustainable Attractivity Strategy of the Brittany Region, with the goal of attracting high profile junior researchers from all over the world, offering exceptional conditions for long-term academic development. IMT Atlantique is a public technological university focusing on the training of engineers at the MSc. level and junior researchers at the PhD level. Being a technological university, IMT Atlantique benefits from a advantageous status compared to french public universities. As such, we offer very competitive salary packages, with postdoc wages corresponing to a junior assistant professor level. Successful candidates will also benefits from 49 annual paid holidays, as well as access to multiple benefits from the institutions' union (such as campus activities or sea sports). In addition, living costs in the Brest bay area are exceptionally low, with a high quality of life, and the Brest campus of IMT Atlantique is ideally located at the sea front. The position is open immediately and must start no later than June 2018, for a duration of 24 months. The postdoc fellowship is accompanied with overheads for travel expenses covering (a) the participation to international conferences, (b) article processing charges for open-access publications and (c) acquisition of a computation server dedicated to the postdoc project. The postdoc fellowship will be fully devoted to his research projects, and may optionally (but will not be required to) contribute to teaching activities in machine learning, computer science, signal processing or electronical engineering. Candidates must have defended a Ph.D. related to machine learning or computer science, or signal/image processing. Candidates with a PhD in neuroimaging with solid programming skills and a strong interest for machine learning are also welcome to apply. An additional requirement pertains to the attractivity strategy related to the regional funding; in order to attract international applications, candidates must have spent a minimum 12 months outside France after June 2014. Please send your CV, contacts for two references, as well as a cover letter to nicolas.farrugia(a)imt-atlantique.fr . Nicolas Farrugia Associate professor IMT Atlantique - Department of electronics +33 (0) 2 29 00 16 53

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