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Funded PhD in Computational Neuroscience (Investigating oscillatory behaviour in Alzheimer’s disease to establish biomarkers: an EEG and computational programme of PhD study)
by Eirini Mavritsaki May 3, 2017

May 3, 2017

Reminder funded PhD Please note the deadline of application is 10th of May 2017 Investigating oscillatory behaviour in Alzheimer’s disease to establish biomarkers: an EEG and computational programme of PhD study Applications are invited for a 3-year PhD studentship within the Department of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English. Project Synopsis: This proposed PhD work follows high profile research by the University of Birmingham team (Prof. Kim Shapiro, Prof. Howard Bowman and Mr Ali Mazaheri). The project is collaborative work between Birmingham City University (Dr Eirini Mavritsaki and Prof. Maxine Lintern) and University of Birmingham (Prof. Kim Shapiro and Prof. Howard Bowman). The University of Birmingham team has access to ERP data of a semantic anomaly and word repetition task (Olichney et al, 2002). In the original analysis of the data by Olichney and colleagues, the N400 component was analysed, which is related to semantic manipulation. Olichney and colleagues found evidence of N400 abnormalities in mild cognitive impairment patients, which predicted later progression to Alzhemier’s. The University of Birmingham team have identified oscillatory changes that also predict progression to Alzheimer’s, opening up the possibility that an effective EEG-based early-stage biomarker of Alzheimer’s might be within reach. We plan to simulate this data and the changes observed in it using a computational model that is based on the sSoTS (Mavritsaki, Heinke, Humphreys and Deco, 2011) model. The successful applicant will join the Centre for Applied Psychological Research (CAPresearch) within the Department of Psychology at Birmingham City University. CAPresearch is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate in research seminars and to co-supervise undergraduate projects. The successful candidate will also be expected to attend the weekly meetings of the University of Birmingham research team. For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki(a)bcu.ac.uk<mailto:Eirini.mavritsaki@bcu.ac.uk>) or Prof. Howard Bowman (H.Bowman(a)bham.ac.uk<mailto:H.Bowman@bham.ac.uk>). For application please see below. Candidate Qualification and Specifications: Essential Ø The applicant should hold a good undergraduate honours degree (First or 2:1) in related area. Ø The applicant should have experience of computational models, evidenced by previous work or masters degree. Ø A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). Ø Experience in C++ and Matlab. Desirable Ø A Masters’ degree in research methods, psychology or computational modelling Application Process (Deadline of application 10th of May) You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees Please feel free to contact us if you have any questions for the application and to express interest. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 Office Hours Appointment only: Tuesdays 11:00-12:00 Drop-in: Fridays 09:00-10:00 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Multiple Positions in Translational Neurophysiology Lab @ Feinstein's Center for Bioelectronic Medicine
by Platt, Jo Ann May 2, 2017

May 2, 2017

We are seeking Post Docs, Research Assistants/Associates, Staff Scientist, and a Senior Staff Scientist for Stavros Zanos's Translational Neurophysiology Lab in the Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research - Long Island, New York. Submit your CV and cover letter to japlatt(a)northwell.edu We are seeking research assistants, post-doctoral researchers, staff scientists and senior staff scientists to work full-time in neurophysiology, cardiovascular physiology and bioelectronic medicine research projects. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, both in health and in disease models. Individuals applying for this position should have experience in porcine or nonhuman primate neurophysiology or cardiovascular physiology research, with awake or anesthetized animals. Experience with chronic implants, human neuro/cardiovascular physiology and analysis of physiological data is desired. RESEARCH ASSISTANT/ASSOCIATE: Translational Neurophysiology - Bioelectronic Medicine QUALIFICATIONS: Bachelor of Science Degree, required; Master of Science/Engineering desired Research experience with large animal models (porcine or nonhuman primate) desired Research experience in neurophysiology and/or cardiovascular physiology, desired Exposure to data analysis software (e.g. Matlab), desired RESPONSIBILITIES: The Translational Neurophysiology Laboratory at the Center for Bioelectronic Medicine, headed by Stavros Zanos MD PhD, focuses on the development and testing of novel devices and therapies in large animal models, in health and disease. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation. The successful candidate: Performs a variety of independent activities involved in planning, organizing and conducting assigned portion(s) of specific research projects. Participates in the coordination of sharing information, lending assistance, and solving problems with other team members, as needed. Receives guidance and/or direction for assignments that are project-specific. Job Responsibilities Include: Performs experimental studies include physiology experiments in large animal (porcine) models Learns, researches and recommends new experimental procedures, as necessary Oversees care and servicing of Center related equipment, tools and instruments. Assists in coordinating repair and managing warranties/service contracts. Collaborates with investigator and other team members in developing plans, organization, implementation and monitoring for research projects. Participates in compilation/writing of integrated reports and preparation of presentations and manuscripts of scientific meetings and technical journals. Performs collection, verification and documentation of research data. POSTDOCTORAL RESEARCH TRAINEE - Translational Neurophysiology - Bioelectronic Medicine QUALIFICATIONS: Doctorate degree (Ph.D, M.D. or D.V.M.), required Authored/co-authored research papers and/or scientific abstracts, required Research experience with large animal models (porcine or nonhuman primate) desired Research experience in neurophysiology and/or cardiovascular physiology, desired Knowledge of data analysis software (e.g. Matlab), desired RESPONSIBILITIES: The successful candidate is expected to work full-time on physiology and neural engineering projects using stimulation of peripheral autonomic nerves to modulate the immune, cardiovascular and central nervous systems. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, in large animals, both in health and in disease models. The lab is part of and collaborates closely with other labs at Feinstein's CBEM: neural decoding and data analytics, bioelectronics and biosensing, microfabrication, neural bypass, electrochemistry, molecular targets, etc. The lab also participates in clinical research through collaborations with Northwell's clinical teams (neurosurgery, neurology, gastrointestinal medicine, cardiopulmonary medicine, psychiatry etc). The successful candidate will perform physiology experiments, collect, organize and analyze data, and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. Responsibilities Include: Performs research projects as directed. Follows and adheres to experimental protocols in a proficient and meticulous manner. Responsible for the collection, analysis and interpretation of research data related to specific project. Submits manuscripts and abstracts for publication to peer review journals and presentations at local, national and international conferences. Performs a variety of tasks, including but not limited to, correspondence, attending meetings, database maintenance, maintaining records, charts, etc. Provides technical direction to research staff. STAFF SCIENTIST - Translational Neurophysiology - Bioelectronic Medicine QUALIFICATIONS: Doctorate degree (Ph.D, M.D. or D.V.M.), or Bachelor of Science and relevant research experience (>5 years) required Research experience with large animal models (porcine or nonhuman primate), required Research experience in neurophysiology and/or cardiovascular physiology, desired Authored/co-authored research papers and/or scientific abstracts, desired Knowledge of data analysis software (e.g. Matlab), desired RESPONSIBILITIES: The successful candidate is expected to work full-time on physiology and neural engineering projects using stimulation of peripheral autonomic nerves to modulate the immune, cardiovascular and central nervous systems. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, in large animals, both in health and in disease models. The lab is part of and collaborates closely with other labs at Feinstein's CBEM: neural decoding and data analytics, bioelectronics and biosensing, microfabrication, neural bypass, electrochemistry, molecular targets, etc. The lab also participates in clinical research through collaborations with Northwell's clinical teams (neurosurgery, neurology, gastrointestinal medicine, cardiopulmonary medicine, psychiatry etc). The successful candidate will perform physiology experiments, collect, organize and analyze data, and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. Responsibilities Include: Performs research as directed and trains and provides technical and scientific direction to other research staff. Follows and adheres to experimental protocols in a proficient and meticulous manner. Responsible for the collection, analysis and interpretation of research data related to one or more projects. Keywords: neurophysiology, cardiovascular physiology, large animal models, neural engineering, bioelectronics, electrodes, recording, stimulation, peripheral nerves SENIOR STAFF SCIENTIST - Translational Neurophysiology - Bioelectronic Medicine QUALIFICATIONS: Doctorate degree (Ph.D, M.D. or D.V.M.) and relevant post-graduate academic or industry research experience (>5 years) required Research experience with large animal models (porcine or nonhuman primate), highly desired Research experience in neurophysiology and/or cardiovascular physiology, highly desired Authored/co-authored research papers and/or scientific abstracts, desired Knowledge of data analysis software (e.g. Matlab), desired RESPONSIBILITIES: The successful candidate is expected to work full-time on physiology and neural engineering projects using stimulation of peripheral autonomic nerves to modulate the immune, cardiovascular and central nervous systems. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, in large animals, both in health and in disease models. The lab is part of and collaborates closely with other labs at Feinstein's CBEM: neural decoding and data analytics, bioelectronics and biosensing, microfabrication, neural bypass, electrochemistry, molecular targets, etc. The lab also participates in clinical research through collaborations with Northwell's clinical teams (neurosurgery, neurology, gastrointestinal medicine, cardiopulmonary medicine, psychiatry etc). The successful candidate will lead and perform physiology experiments, collect, organize and analyze data, train research staff and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. Responsibilities include: Leads and performs research. Trains and provides technical and scientific direction to research staff. Responsible for the planning, collection, organization, analysis and interpretation of research data related to one ore more projects. Keywords: neurophysiology, cardiovascular physiology, large animal models, neural engineering, bioelectronics, electrodes, recording, stimulation, peripheral nerves 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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Multiple Openings for Research Scientists and Engineers in Machine Learning to Reverse-Engineer Intelligence
by Lopez, Camila May 2, 2017

May 2, 2017

Multiple Openings for Research Scientists and Engineers in Machine Learning to Reverse-Engineer Intelligence We are looking for exceptionally talented researchers that share our vision: to discover new computational principles of brain intelligence and apply these principles to create fundamentally new algorithms for machine intelligence. We are particularly interested in candidates with expertise in machine learning, computational neuroscience or with strong quantitative background in Mathematics, Statistics, Physics or Computer Science. Our Neuro-Inspired Networks for Artificial Intelligence (ninai.org<https://urldefense.proofpoint.com/v2/url?u=http-3A__ninai.org&d=DwMGaQ&c=ZQ…>) research team is interdisciplinary and international, with expertise ranging from large-scale neurophysiology and brain circuit analysis to deep learning. POSITIONS: We have opportunities in several project components and multiple locations, and all participants will interact extensively across multiple scientific disciplines and multiple sites. Highest-priority topics include: * Developing new architectures for deep networks * Neuro-inspired networks for real-world tasks * Functional modeling of neuronal microcircuits * Probabilistic inference by population codes * Statistical analysis of large-scale neural data from behaving animals THE TEAM: The project is led by Andreas Tolias (PI) and Xaq Pitkow (co-PI), from Baylor College of Medicine, and includes researchers from Caltech, Columbia, Cornell, Rice University, University of Toronto, University of Tübingen, the Allen Institute, and Princeton: Matthias Bethge, Liam Paninski, Ankit Patel, Clay Reid, Sebastian Seung, Thanos Siapas, Raquel Urtasun, Chris Xu, Richard Zemel and Richard Baraniuk. For detailed information about the team and its members, please see our website, ninai.org<https://urldefense.proofpoint.com/v2/url?u=http-3A__ninai.org_&d=DwMGaQ&c=Z…>. QUALIFICATIONS: Candidates must have a record of productivity, excellent quantitative skills, good communication skills, and creativity. Experience in Machine Learning and in particular Deep Learning is desired. APPLYING: The positions provide a competitive annual salary and benefits, and outstanding scientific opportunities. Applicants should email a CV, letter of research interests, and contact information for three references to info(a)ninai.org<mailto:info@ninai.org>. We look forward to hearing from you! Camila Lopez Baylor College of Medicine 713.798.4072 | camilal(a)bcm.edu<mailto:camilal@bcm.edu>

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Extended deadline for abstract submissions, Neuroinformatics 2017!
by congress May 2, 2017

May 2, 2017

Dear all, *Due to the many requests we received, we have extended the abstract submission deadline to May 30!* *Submit here: http://neuroinformatics2017.org/abstracts/ <http://neuroinformatics2017.org/abstracts/>* The annual INCF Congress provides a meeting place for researchers in all fields related to neuroinformatics. Join us for keynotes from top neuroscientists, community sessions and poster- and demo sessions. This meeting is especially useful for anyone who is developing neuroscience tools and methods, working on better ways to handle neuroscience data, and looking for cross-disciplinary collaborations. *http://neuroinformatics2017.org/* <http://neuroinformatics2017.org/> *The International Neuroinformatics Coordinating Facility (INCF) is an international non-profit organization devoted to advancing the field of neuroinformatics and global collaborative brain research. Learn more about INCF www.incf.org <http://www.incf.org/>* *We look forward to seeing you in Kuala Lumpur!* Best Regards INCF Secretariat

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postdoc in mind reading by machine learning
by Máté Lengyel May 1, 2017

May 1, 2017

Postdoctoral Fellow in Computational Cognitive Science Central European University, Budapest, Hungary We are seeking a highly creative and motivated postdoctoral fellow to work in the group of Mate Lengyel at the Department of Cognitive Science, Central European University, Budapest, Hungary (https://cognitivescience.ceu.edu/) The group is also twinned by the Lengyel group at the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge (http://learning.eng.cam.ac.uk/Public/Lengyel/) where Dr Lengyel holds a permanent position. The group studies learning and memory from computational, algorithmic/representational and neurobiological viewpoints. Computationally and algorithmically, we use ideas from Bayesian approaches to statistical inference and reinforcement learning to characterise the goals and mechanisms of learning in terms of normative principles and behavioral results. Specifically, the project will characterise how human’s structured and high dimensional mental representations change in time due to forgetting, learning, interference, and other processes. For this, state-of-the-art machine learning techniques will be employed to analyse a diverse set of behavioural data sets collected by our experimental collaborators: Gergely Csibra (infant studies) and Jozsef Fiser (visual perception and learning) in Budapest, and Daniel Wolpert (sensorimotor control) in Cambridge. The project is funded by an ERC grant, providing internationally competitive salaries. The successful candidate will have - a strong quantitative background - demonstrable interest in the analysis of behavioural data - obtained (or be close to the completion of) a PhD or equivalent in computational neuroscience, physics, mathematics, computer science, machine learning or a related field Preference will be given to candidates with - previous experience in machine learning, computational and / or behavioural neuroscience - sufficient programming skills to run numerical simulations (eg. in C, Python, or MatLab) - expertise with advanced data analysis and Bayesian techniques Research environment: The Central European University is the highest-ranked university in Hungary. It is a privately funded and endowed, fully English-speaking, postgraduate-only university, accredited in both the USA and Hungary. The Department of Cognitive Science is one of the most highly regarded centres for cognitive science in Europe, with world-leading groups in infant cognition, visual cognition, and social cognitive science. It provides a vibrant research environment, by running two journal club events per week on selected topics in cognitive science, a monthly research club, a weekly series of guest seminars by invited speakers from around the globe, a visitors programme with about two-three leading researchers in the field spending several months at the Department every year, and various small-to-medium sized international workshops, conferences, and summer schools organised locally by members of the Department. More broadly, Budapest is an exciting city, with a rich history and busy cultural life, great cuisine, and a very affordable cost of living index. For informal queries, please contact Máté Lengyel <m.lengyel(a)eng.cam.ac.uk>. Applications will be accepted until the post is filled. Mate Lengyel -- Department of Cognitive Science Central European University Oktober 6 street 7, Budapest H-1051, Hungary tel: +36 1 887 5142 , fax: +36 1 887 5010 Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 332 662 email: m.lengyel(a)eng.cam.ac.uk web: www.eng.cam.ac.uk/~m.lengyel

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PhD positions at the Queensland Brain Institute
by Geoffrey Goodhill May 1, 2017

May 1, 2017

The Queensland Brain Institute (QBI) at the University of Queensland invites expressions of interest from exceptional and highly motivated candidates to undertake full-time PhD research in neuroscience. QBI has 40 labs and ~100 PhD students and ~100 postdocs studying all aspects of neuroscience, including systems and computational. QBI is looking for students who can demonstrate: - excellent academic performance during tertiary study evidenced by a high Grade Point Average (GPA); - a high level of commitment to developing their skills as a researcher to conduct high quality neuroscience research; - possession of strong communication skills. The first stage of the application process is to identify the QBI Group Leader with whom you would like to work via https://qbi.uq.edu.au/groupleaders. Then email that Group Leader, including your detailed academic resume and links to any publications, and complete tertiary academic records (including GPA scores/grades, and grading scale details). If interested, the Group Leader will then work with you to develop your application for submission to QBI. For more information about QBI, PhD entry criteria, and UQ scholarships, please visit the QBI website https://qbi.uq.edu.au Expression of Interest closing date: 25 June 2017 (11:55 PM) E. Australia Standard Time. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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postdoc position in sleep and circadian rhythms modelling
by Svetlana Postnova April 28, 2017

April 28, 2017

*Postdoctoral Research Associate in Neurophysics of Sleep-Wake Dynamics and Circadian Rhythms* *School of Physics Reference no. 721/0417* *The position focuses on studying sleep-wake and circadian dynamics phenomena in the brain using mechanism-based modelling approaches and experimental data across various dynamical scales: from neurons to behavior* *Full-time, fixed term for 2 years with the possibility of extension to 3 years, subject to performance, funding, and need * *Remuneration package: $104k-112k AUD pro rata p.a. which includes leave loading and up to 17% superannuation* *About the opportunity * Applications are sought for Postdoctoral Research Associate (Level A) in the School of Physics in the Complex Systems Group led by Professor Peter Robinson. The group is involved in a number of interdisciplinary research centres, including the NHMRC Centre of Excellence for Translational Sleep and Circadian Neurobiology (NeuroSleep), the ARC Centre of Excellence for Integrative Brain Function (CIBF), and the Cooperative Research Centre for Alertness, Safety, and Productivity, as well as numerous national and international collaborations. *About you* The successful applicant will work with a team of researchers on a variety of sleep-wake and circadian-related projects that underpin a wider program of sleep-wake and circadian research, including understanding and modelling of the relevant neurobiological mechanisms during normal sleep-wake cycles, circadian misalignment (e.g. jetlag), and sleep restriction, as well as prediction of dynamics in real-world conditions. To be successful in this position you should have following: - undergraduate major in physics, applied mathematics, or similar field - theoretical/computational PhD in physics, computational neuroscience, biological modelling, applied mathematics, engineering, or allied field; thesis must have at least been submitted for examination by the time of interview for this position (approximately 3 weeks after closing date). - experience in physiologically-based modelling of biological systems (as opposed to or in addition to signal analysis and statistical modelling). - demonstrated ability to program in Matlab , C++, or Python - proved research ability and evidence of self-motivation and research potential, including the ability to conduct research activities under limited supervision - publications in refereed journals *Desirable criteria also apply * *About us* Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion, and underpin our long-term strategy for growth. We’re Australia's first university and have an outstanding global reputation for academic and research excellence. Across 9 campuses, we employ over 7600 academic and non-academic staff who support over 47,000 students. We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us. The position is full-time fixed term for two years, subject to the completion of a satisfactory probation period for new appointees with the possibility of extension to three years, subject to performance, funding, and need. *All applications must be submitted via the University of Sydney careers website.* Visit sydney.edu.au/recruitment and search by the reference number for more information and to apply. *Closing date:* 11:30pm 18 May 2017 (Sydney Time) We are committed to diversity and social inclusion. We welcome applications from women (particularly for senior and non-traditional roles), Aboriginal and Torres Strait Islander people, people with a disability, people who identify as LGBTIQ, and people from culturally and linguistically diverse backgrounds. *©* The University of Sydney The University reserves the right not to proceed with any appointment. -- Dr Svetlana Postnova CRC for Alertness Safety and Productivity & Complex Systems Group School of Physics, University of Sydney room 438, Madsen F09, NSW 2006, Australia Phone: +61 2 9036 7971

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[ANN] 10ᵀᴴ Advanced Scientific Programming in Python in Nikiti, Greece, August 28—September 2, 2017
by Jakob Jordan April 28, 2017

April 28, 2017

10ᵀᴴ Advanced Scientific Programming in Python ============================================== a Summer School by the G-Node and the Municipality of Sithonia Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquiredirect hands-on experience with the materials. Students will work in pairsthroughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. You can apply online: https://python.g-node.org Application deadline: 23:59 UTC, May 31, 2017. There will be no deadline extension, so be sure to apply on time ;-) Be sure to read the FAQ before applying. Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Date & Location =============== August 28—September 2, 2017. Nikiti, Sithonia, Halkidiki, Greece Program ======= → Best Programming Practices • Best practices for scientific programming • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization → Software Carpentry • Test-driven development • Debugging with a debuggger • Profiling code → Scientific Tools for Python • Advanced NumPy → Advanced Python • Decorators • Context managers • Generators → The Quest for Speed • Writing parallel applications • Interfacing to C with Cython • Memory-bound problems and memory profiling • Data containers: storage and fast access to large data → Practical Software Development • Group project Preliminary Faculty =================== • Francesc Alted, freelance consultant, author of Blosc, Castelló de la Plana, Spain • Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George MasonUniversity, Fairfax, VA USA • Eilif Muller, Blue Brain Project, École Polytechnique Fédérale de Lausanne Switzerland • Juan Nunez-Iglesias, Victorian Life Sciences Computation Initiative, University of Melbourne, Australia • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Nicolas P. Rougier, Inria Bordeaux Sud-Ouest, Institute of Neurodegenerative Disease, University of Bordeaux, France • Bartosz Teleńczuk, European Institute for Theoretical Neuroscience, CNRS, Paris, France • Stéfan van der Walt, Berkeley Institute for Data Science, UCBerkeley, CA USA • Nelle Varoquaux, Berkeley Institute for Data Science, UC Berkeley, CA USA • Tiziano Zito, freelance consultant, Berlin, Germany Organizers ========== For the German Neuroinformatics Node of the INCF (G-Node) Germany: • Tiziano Zito, freelance consultant, Berlin, Germany • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George MasonUniversity, Fairfax, USA • Jakob Jordan, Institute of Neuroscience and Medicine (INM-6), Forschungszentrum Jülich GmbH, Germany • Etienne Roesch, Centre for Integrative Neuroscience and Neurodynamics, University of Reading, UK Website: https://python.g-node.org Contact: python-info(a)g-node.org -- Jakob Jordan Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany tel.: +49 2461 61-96450 http://www.csn.fz-juelich.de/ ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Funded PhD Position at Istituto Italiano di Tecnologia, Genova (IT) - Cellular mechanisms of perception
by Valentina Pasquale April 28, 2017

April 28, 2017

Funded PhD Position at Istituto Italiano di Tecnologia, Genova (IT) - Cellular mechanisms of perception Applications are invited for a 3-year PhD studentship in Neuroscience within the "Optical Approaches to Brain Function" laboratory (https://www.iit.it/lines/optical-approaches-to-brain-function) led by Tommaso Fellin and located at IIT in Genova (Italy). PhD Courses are established in agreement with Università degli Studi di Genova and financially supported by IIT. Project summary: The PhD project is entitled "Cellular mechanisms of perception" and focuses on the cellular mechanisms underlying the coding of sensory information in the mouse cortex. To tackle this question, experimental approaches including two-photon functional imaging, patch-clamp recordings and optogenetic manipulations will be coupled with advanced analytical approaches. For the positions we look for candidates with a M.Sc. degree in biology, physics, bioengineering or computer science with propensity for interdisciplinary research. Applicants should have strong interest in both physiological approaches to monitor/manipulate cortical microcircuits and mathematical methods to describe and model neural networks. Interested candidates are invited to contact Prof. Tommaso Fellin (tommaso.fellin(a)iit.it<mailto:tommaso.fellin@iit.it>) by emailing their CV and briefly explaining their interest in this position. Application process: In order to formally apply to the PhD Position, all applicants must refer to the University web site (https://www.studenti.unige.it/postlaurea/dottorati/XXXIII) for the procedures necessary to apply. Deadline for formal application is June 13th, 2017. For further information, please see https://www.iit.it/phd-school. About IIT: Fondazione Istituto Italiano di Tecnologia (www.iit.it<http://www.iit.it>) is a private Foundation with the objective of promoting Italy's technological development and higher education in science and technology. IIT was established in 2003 and successfully created a large-scale infrastructure in Genova and a network of 10 state-of-the-art laboratories countrywide with an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies. Regards Tommaso Fellin

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Welcome to Neuroinformatics 2017 in Kuala Lumpur
by Louise Erixon April 28, 2017

April 28, 2017

Dear all, The annual INCF Congress provides a meeting place for researchers in all fields related to neuroinformatics. Join us for keynotes from top neuroscientists, community sessions and poster- and demo sessions. This meeting is especially useful for anyone who is developing neuroscience tools and methods, working on better ways to handle neuroscience data, and looking for cross-disciplinary collaborations. *http://neuroinformatics2017.org/* <http://neuroinformatics2017.org/> The deadline for abstract submissions for Neuroinformatics 2017 is approaching, you can read more and submit your abstract by* April 30* here:* http://neuroinformatics2017.org/abstracts/ <http://neuroinformatics2017.org/abstracts/>* Registration for Neuroinformatics 2017 is open and early bird registration fees are available until *July 2*, find out more: *http://neuroinformatics2017.org/register/ <http://neuroinformatics2017.org/register/>* INCF is calling for community proposals for Special Interest Group meetings to be held on August 22, the day after the Congress. INCF is looking to broaden community engagement through the creation of Special Interest Groups (SIGs) which are suggested and led by the community. Read more about SIGs here: *https://www.incf.org/collaborate/incf-special-interest-groups* <https://www.incf.org/collaborate/incf-special-interest-groups> Please spread this information to anyone you feel would be interested in attending. *The International Neuroinformatics Coordinating Facility (INCF) is an international non-profit organization devoted to advancing the field of neuroinformatics and global collaborative brain research. Learn more about INCF www.incf.org <http://www.incf.org/>* *We look forward to seeing you in Kuala Lumpur!* Best Regards INCF Secretariat

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BBP - Postdoctoral Position in Molecular Neuron and Synapse Modeling
by Daniel Keller April 27, 2017

April 27, 2017

BBP - Postdoctoral Position in Molecular Neuron and Synapse Modeling A post-doctoral position in modeling of molecular synapses and neurons is available at the Blue Brain Project at the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland (www.epfl.ch) The Blue Brain Project, based in Geneva, Switzerland, performs large-scale simulations of the brain. The position entails development of methods and systems to perform multi-scale modeling and integrate knowledge of signaling pathways to create models of plasticity, transmission, and regulation. The ideal candidate will have a Ph.D. in computational neuroscience or related field. Experience in modeling of molecular plasticity, biochemical signaling cascades, and reaction-diffusion modeling is desired. Strong biology and mathematical background, as well as coding competence in Python, C++, and NEURON are essential. We are looking for highly motivated individuals to work as members of a highly multidisciplinary group working at the interface of neuroscience, physics and computer science with good writing, collaboration, and communication skills. Selected candidates will join a prestigious project that is pioneering simulation neuroscience research, composed of a young, dynamic, interdisciplinary, and international team. We offer a state-of-the-art working environment based at the Biotech Campus in Geneva ( http://www.campusbiotech.ch/en/ ) with access to cutting edge simulation, informatics and computing facilities. Interested applicants should submit a cover letter and a detailed CV in PDF format only, with file name “Surname_position _Cover Letter” and “Surname_positon _CV” electronically to jobs.bbp(a)epfl.ch Please use the reference of the position title in the “object” field.

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Postdoc in neuromorphic pattern recognition at U Herts
by Schmuker, Michael April 26, 2017

April 26, 2017

* Postdoc in neuromorphic pattern recognition * Applications are invited for a postdoc position in the Biocomputation group, School of Computer Science, at the University of Hertfordshire, UK. The appointment is due to start as soon as possible, with an initial fixed duration until 31st March 2018, with a possibility to extend, pending funding decisions. The successful candidate will join our efforts to advance neuromorphic pattern recognition on the SpiNNaker and BrainScaleS hardware systems that are built within the Human Brain Project (HBP). We are looking for a candidate with a keen tenacity in pushing forward the boundaries of future computing off the well-trodden path. The Biocomputation group provides a rich and inspiring interdisciplinary research environment that connects Computer Science with Neuroscience and branches out into Machine Learning and Robotics. HBP membership provides excellent opportunities to connect to world-leading scientists in all aspects of neuroscience, high-performance computing, neurorobotics and neuromorphic engineering. We enjoy first-class access to the latest neuromorphic technologies developed in HBP, and we work in tight interaction with the groups developing the hardware systems, SpiNNaker and BrainScaleS. Research in Computer Science at the University of Hertfordshire has been recognized as excellent in the REF 2014, with 50% of the research submitted rated as internationally excellent or world leading. The University is situated in Hatfield, in the green belt just north of London. Candidates should have a PhD in neuromorphic computing, machine learning, computational neuroscience, computer science, physics or another relevant subject area. In addition, the successful candidate should have demonstrable experience in either: - Machine learning and pattern recognition, ideally deep and recurrent neural networks, self-organisation, or - Neuromorphic computing, ideally with hands-on experience with SpiNNaker, BrainScaleS, or other neuromorphic hardware systems, or GPU-accelerated simulations. Further desired skills: - Ability to conduct original research, as evidenced by high-quality, peer-reviewed papers, - Excellent programming skills, as evidenced e.g. by a link to a github account that shows work on relevant projects, - Ability to work and communicate in a multidisciplinary team. Informal inquiries about this post are warmly welcome and should be directed to Dr Michael Schmuker, m.schmuker(a)herts.ac.uk . Please apply online via http://www.jobs.herts.ac.uk , vacancy reference 014592, until 22nd May, 2017 at the latest. — Dr Michael Schmuker Senior Lecturer in Computer Science University of Hertfordshire http://biomachinelearning.net

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Job Opening in Singapore Institute for Neurotechnology
by Tasos_UPatras April 26, 2017

April 26, 2017

JOB OPENINGS In the framework of SINAPSE II (http://www.sinapseinstitute.org/ <http://www.sinapseinstitute.org/>) , the Cognitive Engineering team will be launching new projects and several new job positions will be opened. We are inviting researchers of any level with training and previous research experience in Neuroengineering, Computer Sciences and Experimental Psychology/Neuroscience to apply. Positions are available for Research Engineers and Scientist, Research Fellows. Those who are interested can send their CV with a motivation letter to Prof. Tassos Bezerianos (email address tassos.bezerianos(a)nus.edu.sg <mailto:tassos.bezerianos@nus.edu.sg>). Below the framework of the research era Job Description EEG signals, behavioural data, physiological data (e.g., heart rate, GSR) and facial expression will be collected from participants while they are undertaking computerized tasks and/or virtual-reality games that of real-world complexity. Complex network models and advanced brain connectivity methodology will be applied for biomarkers extraction. Machine learning algorithms will be used to extract and model relevant features from the multimodal data to arrive at an objective and accurate assessment of performance (i.e., individual continuous training portfolio). The next generation training system will be a closed loop, representing learning that takes place continuously both ways between the computer system and the user. Research Skills • Neuroergonomics/ Experimental Psychology training protocols and programing (e.g., E-prime, PsychoPy) • Past experience of multimodal Electrophysiological Signals (e.g., EEG, EMG, HRV and GSR) Processing and Analysis • Mapping and Analysis of Brain Networks Connectivity • Machine Learning Algorithms to understand brain electrophysiological data • Computational Intelligence and Neural Networks Algorithms in Cognitive Neuroscience and Neuroergonomics • Deep Learning Algorithms with applications in Human Machine Interactions Best regards Tassos Anastasios Bezerianos, BS,MS,PhD prof. University of Patras, Greece visit. prof. NUS, Singapore visit. prof. UNSW, Canberra, Australia

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Postdoctoral / Research Specialist position in Computational Anatomy
by Reiser, Michael April 25, 2017

April 25, 2017

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Workshop on New Directions in Motor Control, Emory University, Atlanta, Georgia, May 18-19, 2017
by Nemenman, Ilya April 25, 2017

April 25, 2017

Dear Colleagues, We would like to announce a workshop on “New Directions in Motor Control", which will take place at Emory University (Atlanta, GA) on May 18-19, 2017. Speakers will discuss their work exploring how the nervous system controls complex behaviors, with emphasis on how the brain employs sensory information to guide motor action and how patterns of motor activity are organized in space and time. The workshop will include both formal presentations and small-group tutorials on advanced methods for analyzing neural and behavioral data. It will emphasize the importance of collaborative interactions between neurophysiologists on the one hand and theorists and modelers on the other. Workshop website: http://www.physics.emory.edu/home/new-directions-in-motor-control/ Registration (by May 4): http://www.physics.emory.edu/home/new-directions-in-motor-control/register.… Lodging (by Apr 26): http://www.physics.emory.edu/home/new-directions-in-motor-control/lodging.h… The list of confirmed speakers includes: (External Speakers) Dr. Michael Brecht, Bernstein Center for Computational Neuroscience, Berlin Dr. Nicholas Hatsopoulos, University of Chicago Dr. Mackenzie Mathis, Harvard University Dr. Leslie Osborne, University of Chicago Dr. Carl Petersen, EPFL Lausanne Dr. Jennifer Raymond, Stanford University Dr. Reza Shadmehr, Johns Hopkins University (Atlanta-area Speakers) Dr. Don Edwards, Georgia State University Dr. David Hofmann, Emory University Dr. Dieter Jaeger, Emory University Dr. Ilya Nemenman, Emory University Dr. Chethan Pandarinath, Emory University/Georgia Tech Dr. Sam Sober, Emory University Dr. Simon Sponberg, Georgia Tech Dr. Lena Ting. Emory University/Georgia Tech Hand-on tutorials will include: Information theoretic analysis of neural spike trains, Dr. Ilya Nemenman, Emory University Application of generalized linear models to spike trains, Dr. David Hofmann, Emory University Beyond Spikes: Insights from local field potential recordings in electrode array data, Dr. Audrey Sederberg, Georgia Tech Quantitative behavioral analysis using dimensionality reduction, Dr. Gordon Berman, Emory University Sincerely, The Organizers Sam Sober, Simon Sponberg, David Hofman ________________________________ 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 position (Cogn Neuro) in Milwaukee, WI
by Adam S Greenberg April 25, 2017

April 25, 2017

Postdoctoral Research Position in Cognitive Neuroscience Department of Psychology, University of Wisconsin, Milwaukee The Sensory Neuroscience, Attention, & Perception Laboratory (SNAP Lab) of Dr. Adam Greenberg is recruiting a postdoctoral researcher to begin late Summer/early Fall 2017 (flexible start date). We study the neural mechanisms of attention and perception in humans using a large range of cognitive neuroscience tools including neuroimaging (fMRI, diffusion imaging), TMS, computational modeling, and neuropsychological methods. Please find additional laboratory details at http://snaplaboratory.com. This fully funded position was created to coincide with multiple grant-funded studies of visual/auditory attention in both normal volunteers and cancer patients. Thus, a wide range of specific projects are possible along with the possibility of writing manuscripts on existing data. New project development is also strongly encouraged. Successful candidates will have a PhD in a relevant field (e.g., Psychology, Neuroscience, Computer Science, Biomedical Engineering, etc.), should be highly motivated, and able to work both independently and as part of a team. Experience with TMS is especially desirable, as is a strong background in attention and perception. Experience with other techniques used in the lab are welcome but not required. Proficiency in programming/scripting (e.g., MATLAB, Linux shells) is necessary. Initial appointment will be full-time for one year, with renewal contingent upon productivity. UW-Milwaukee is an R1 (Carnegie Classification) public, urban research university. Neuroscience faculty in the department cover a large range of research including the neurobiology of learning & memory, aging, addiction, sleep, emotion, and of course attention and perception. The program has experienced unprecedented growth in recent years, particularly in cognitive neuroscience, and is an integral part of a large neuroscience community in the Milwaukee area. Milwaukee is a vibrant, affordable city on the shores of Lake Michigan (90 miles from Chicago) with a high quality of life and a thriving urban culture, food, arts, & music scene. An award-winning network of parks and biking/hiking trails allow for plentiful outdoor activities during all seasons. Applications should be addressed to Adam Greenberg (by email to SNAPLab-Postdoc(a)uwm.edu<mailto:snaplab-postdoc@uwm.edu>) including (1) a statement of research interests that discusses your fit with the lab, (2) a current CV, and (3) the names/emails of three references. Applications will be accepted until the position is filled. P.S. I will be at the VSS conference in Florida in late May. If you'd like to meet face-to-face to discuss this position, please email me. ___________________________ Adam Greenberg, Ph.D. Assistant Professor University of Wisconsin-Milwaukee Department of Psychology P.O. Box 413 Milwaukee, WI 53201 email: agreenb(a)uwm.edu<mailto:agreenb@uwm.edu> Tel. (414) 229-1106 Fax (414) 229-5219 http://www.snaplaboratory.com/ Twitter: @SNAPLabUWM ___________________________

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Workshop announcement: HBP Hippocamp 2017
by Szabolcs Káli April 25, 2017

April 25, 2017

[Apologies for cross-posting] Dear Colleagues, I write to announce an upcoming workshop: HBP Hippocamp 2017: Collaborative and Integrative Modeling of Hippocampus to be held May 23rd -24th at the European Institute for Theoretical Neuroscience (EITN) in Paris, France , supported by the Human Brain Project ( [ http://www.humanbrainproject.eu/ | www.humanbrainproject.eu ] ). In short, the objective of the workshop is to highlight existing modeling efforts and strategic datasets for modeling the hippocampus, and define a common integrative and collaborative modeling target including HBP and community stakeholders. The ultimate aim is to catalyze an inclusive community-driven integration and release process for open pre-competitive reference models of hippocampus which are well documented and validated (supported in part by IT infrastructure funded by HBP). Involvement from the community interested in models of hippocampus is highly encouraged. To keep the meeting focused on the task, participation will be limited to ~45 people, so registration is required. For more details, please consult the meeting website at [ http://neuralensemble.org/meetings/Hippocamp2017/ | http://neuralensemble.org/meetings/Hippocamp2017/ ] for registration and further information. Thanks in advance for your interest, and looking forward to your participation. Best regards, Szabolcs Káli On behalf of the organizing committee: Alain Destexhe, Katherine Fregnac, Szabolcs Káli, Audrey Mercer, Michele Migliore, Eilif Muller, Armando Romani, Katrien Van Look -------------------------------------------------- Szabolcs Káli Laboratory of Cerebral Cortex Research Institute of Experimental Medicine Hungarian Academy of Sciences H-1083 Budapest Szigony utca 43. Phone: +36-1-2109413 Fax: +36-1-2109412 E-mail: kali.szabolcs(a)koki.mta.hu www.koki.mta.hu

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Funded PhD in Computational Neuroscience (Investigating oscillatory behaviour in Alzheimer’s disease to establish biomarkers: an EEG and computational programme of PhD study)
by Eirini Mavritsaki April 25, 2017

April 25, 2017

Please note the deadline of application is 10th of May 2017 Investigating oscillatory behaviour in Alzheimer’s disease to establish biomarkers: an EEG and computational programme of PhD study Applications are invited for a 3-year PhD studentship within the Department of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English. Project Synopsis: This proposed PhD work follows high profile research by the University of Birmingham team (Prof. Kim Shapiro, Prof. Howard Bowman and Mr Ali Mazaheri). The project is collaborative work between Birmingham City University (Dr Eirini Mavritsaki) and University of Birmingham (Prof. Kim Shapiro and Prof. Howard Bowman). The University of Birmingham team has access to ERP data of a semantic anomaly and word repetition task (Olichney et al, 2002). In the original analysis of the data by Olichney and colleagues, the N400 component was analysed, which is related to semantic manipulation. Olichney and colleagues found evidence of N400 abnormalities in mild cognitive impairment patients, which predicted later progression to Alzhemier’s. The University of Birmingham team have identified oscillatory changes that also predict progression to Alzheimer’s, opening up the possibility that an effective EEG-based early-stage biomarker of Alzheimer’s might be within reach. We plan to simulate this data and the changes observed in it using a computational model that is based on the sSoTS (Mavritsaki, Heinke, Humphreys and Deco, 2011) model. The successful applicant will join the Centre for Applied Psychological Research (CAPresearch) within the Department of Psychology at Birmingham City University. CAPresearch is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate in research seminars and to co-supervise undergraduate projects. The successful candidate will also be expected to attend the weekly meetings of the University of Birmingham research team. For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki(a)bcu.ac.uk<mailto:Eirini.mavritsaki@bcu.ac.uk>) or Prof. Howard Bowman (H.Bowman(a)bham.ac.uk) For application please see below. Candidate Qualification and Specifications: Essential Ø The applicant should hold a good undergraduate honours degree (First or 2:1) in related area. Ø The applicant should have experience of computational models, evidenced by previous work or masters degree. Ø A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). Ø Experience in C++ and Matlab. Desirable Ø A Masters’ degree in research methods, psychology or computational modelling Application Process (Deadline of application 10th of May) You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees Please feel free to contact us if you have any questions for the application and to express interest. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 Office Hours Appointment only: Tuesdays 11:00-12:00 Drop-in: Fridays 09:00-10:00 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Funded PhD in Psychology (New insights into ADHD through behavioural and modelling studies)
by Eirini Mavritsaki April 25, 2017

April 25, 2017

Please note the deadline of application is 10th of May 2017 New insights into ADHD through behavioural and modelling studies Applications are invited for a 3-year PhD studentship within the Department of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English. Project Synopsis: There are many limitations on the behaviour of complex neural systems, but one primary constraint is to filter incoming input in order that actions can be programmed to behaviourally relevant stimuli. A major challenge for current-day researchers is to understand how (and why) these limitations arise, especially in conditions such as attention deficit hyperactivity disorder (ADHD) where the attentional system is dysfunctional. The main aim of this project is to identify and understand the differences in visual attention between children diagnosed with ADHD and typically functioning children. In addition, to investigate the role of diet in ADHD. This Ph.D. thesis aims to do this by using a novel interdisciplinary approach, behavioural and computational modelling study. The student can choose to work in both or just one approach (either computational or behavioural work). The successful applicant will join the Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. This centre is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant will have the opportunity to gain teaching experience, to participate in research seminars and to co-supervise undergraduate projects. For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki(a)bcu.ac.uk<mailto:Eirini.mavritsaki@bcu.ac.uk>). Candidate Qualification and Specifications: Essential ? The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or a related area to the topic. ? A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). ? The applicant will be expected to undertake and pass Disclosure and Barring Service (DBS) checks. ? The applicant should enjoy working with children. ? For applications that involve computational modelling the student needs to have experience in C++ and/or Matlab. Desirable ? A Masters' degree in research methods, psychology or a computational modelling. ? For applications that involve behavioural work, itis desirable to have experience (voluntary or paid) in schools or experience working with children. ? Access to a car and a valid driving licence. ? For applications that involve computational modelling, it is desirable to have Computational modelling experience. Application Process (Deadline of application 10th of May) You can find further details on studying for a PhD and details of how to apply by clicking on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees. Please feel free to contact us if you have any questions about the application or to express an interest. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 Office Hours Appointment only: Tuesdays 11:00-12:00 Drop-in: Fridays 09:00-10:00 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Abstract reminder for the 1st Conference of the Timing Research Forum
by teki April 25, 2017

April 25, 2017

Dear all, The abstract deadline for the 1st Conference of the Timing Research Forum (TRF1: https://trf-strasbourg.sciencesconf.org) is only a week away! We look forward to receiving your abstracts for symposia, talks and posters by the deadline of May 1, 2017. Please submit your abstracts via the conference website - https://trf-strasbourg.sciencesconf.org/resource/page/id/16 Early-bird registration is now open - https://trf-strasbourg.sciencesconf.org/resource/page/id/17 *Call for Symposia (deadline: May 1, 2017)* 8 Symposia will be selected from submitted proposals. Each symposium must be focused on a single topic and will include 3 oral presentations of 20 minutes (+ 5 minutes questions) organized by a chairperson, who can also be a presenter. There can be 4 oral presentations if preferred, but the total duration of the symposium should not exceed 1 hour and 15 minutes. The chairperson is responsible for submitting the symposium proposal and for recruitingspeakers. Symposia on current topics and of a multidisciplinary nature are encouraged. Symposium proposals should include the following: 1. The name, contact information, and affiliation of the symposium chairperson. 2. Title 3. A brief abstract describing the symposiums objective and topics to be covered (maximum 500 words, references included). 4. Up to 5 keywords. 5. The title of each presentation, with a list of proposed speakers, their affiliations and contact information. For multi-author papers, please underline the presenter. 6. A short abstract for each presentation (max 150 words with references) 7. Abbreviations must be spelled out in full at their first use. Do not use abbreviations in the title. Use only standard abbreviations. If your symposium proposal is not accepted, the abstracts will be automatically re-considered for poster or oral presentation. *Call for Abstracts for Talks & Posters (deadline: May 1, 2017)* There will be two short oral sessions, each containing 6 presentations of 12 minutes (+ 3 minutes for questions) and two poster sessions, and around 15 posters will be selected for oral blitz presentation (5 minutes). Abstracts for poster and oral presentations should include the following: 1. A title that clearly defines the work addressed. 2. Name and affiliation of the authors. For multi-author papers, please underline the presenter and provide their contact information. 3. An abstract describing the specific goal of the study, the methods used, a summary of the results, and a conclusion. The abstract should not exceed 300 words (references included). 4. Up to 5 keywords. 5. Abbreviations must be spelled out in full at their first use. Do not use abbreviations in the title. Use only standard abbreviations. 6. Do not add formatting. Italic, bold, tabs or extra spaces will not appear in the final program. 7. Your preference of oral or poster presentation. 8. Specify whether you apply for a student travel grant (see below). All selected abstracts and symposium proposals will be published in a special issue of the Timing and Time Perception Reviews <http://www.brill.com/node/37536> journal. For any queries, please contact Anne Giersch at: trf.strasbourg(a)orange.fr We look forward to seeing you in Strasbourg! With best wishes, Sundeep Teki & Argiro Vatakis (on behalf of Timing Research Forum) --- Sundeep Teki PhD Sir Henry Wellcome Fellow University of Oxford sundeepteki.org

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Nine Research Positions in the Dutch Consortium 'Language in Interaction' (1.0 FTE)
by Verhoef, J.P. (Julia) April 24, 2017

April 24, 2017

Nine Research Positions in the Dutch Consortium 'Language in Interaction' (1.0 FTE) Dutch Research Consortium 'Language in Interaction' Vacancy number: 30.02.17 Application deadline: 21 May 2017 Responsibilities We are looking for highly motivated candidates to enrich a unique research consortium aiming to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behaviour. Currently, our consortium advertises 4 Postdoc and 5 PhD positions. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Each position has its own requirements and profile. Click here for more information on the advertised positions.<http://www.languageininteraction.nl/jobs/BQsecond.html> www.languageininteraction.nl/jobs/BQsecond.html<https://www.languageininteraction.nl/jobs/BQsecond.html> Work environment The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, sponsored by a large grant from the Netherlands Organisation for Scientific Research (NWO), brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realises both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field. Our five Big Questions are: BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling? BQ2: What are the characteristics and consequences of internal brain organization for language? BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? Successful candidates will be appointed at one of the consortium’s home institutions, depending on the position applied for. All successful candidates will become members of our Big Question teams. The research is conducted in an international setting at all participating institutions. English is the lingua franca. What we expect from you Each position has its own requirements and profile. Detailed information on: www.languageininteraction.nl/jobs/BQsecond.html<https://www.languageininteraction.nl/jobs/BQsecond.html> General requirements for all positions are: · a degree in one of the fields indicated for the positions; · strong motivation; · excellent proficiency in written and spoken English. What we have to offer · employment: 1.0 FTE; · you will be appointed at one of the consortium’s home institutions, depending on the position applied for; · terms of employment depend on the embedding institution; · the institutes involved have regulations in place that enable their staff to create a good work-life balance. Other Information All institutes involved are equal opportunity employers, committed to building a culturally diverse intellectual community, and as such encourage applications from women and minorities. Would you like to know more? Further information on LiI consortium: http://www.languageininteraction.nl/ Further information on the different positions, including terms of employment and contacts: www.languageininteraction.nl/jobs/BQsecond.html<https://www.languageininteraction.nl/jobs/BQsecond.html> Are you interested? You should upload your application (attn. of Prof. P. Hagoort) exclusively via: http://www.ru.nl/applyonline?tk=uk&recid=597242 Your application should include (and be limited to) the following attachment(s): · a cover letter quoting at the top the number of the position you apply for; · your curriculum vitae, including a list of publications and the names of at least two persons who can provide references. Please apply before 21 May 2017, 23:59 CET. You may apply for more than one position. No commercial propositions please.

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Postdoctoral position in visuomotor control of catching and throwing – Rome, Italy
by Andrea d'Avella April 24, 2017

April 24, 2017

Postdoctoral position in visuomotor control of catching and throwing – Rome, Italy ** A postdoctoral position is available in the group led by Prof. Andrea d’Avella (a.davella(a)hsantalucia.it) in the Laboratory of Neuromotor Physiology directed by Prof. Francesco Lacquaniti, at the Santa Lucia Foundation in Rome, Italy. The researcher will be involved in ongoing studies performed under the interdisciplinary project CogIMon, funded by the H2020 program of the European Union. The project CogIMon aims at a step change in human-robot interaction, and comprises leading robotics, computational neuroscience, and human motor control European research groups. Research will be focused on investigating strategies for prediction, coordination, and control during interactive human-human and human-robot catching and throwing. Experiments are conducted with real balls in a large motion capture setup and with virtual balls in an immersive multisensory virtual environment where ball impact is rendered with a haptic device, and human and robotic agents are simulated. Applicants should have a PhD degree in a relevant discipline, a real interest in human sensorimotor control, and strong quantitative and programming skills. Experience with collection and analysis of experimental data, psychophysics in virtual environments, computer graphics and avatar animation are valuable assets. Salary will be commensurate with experience. Applicants should provide a statement of research interests, a curriculum vitae, and contact information for references. The position is available starting on May 1^st 2017 and open until filled. -- Andrea d'Avella, Ph.D. Laboratory of Neuromotor Physiology IRCCS Fondazione Santa Lucia Via Ardeatina 306 00179 Roma, Italy tel : (+39) 06-51501153 fax : (+39) 06-51501482 E-mail: a.davella(a)hsantalucia.it -- <http://www.hsantalucia.it/5x1000-sostieni-la-nostra-ricerca> ------------------------------ Le informazioni contenute in questo messaggio sono riservate e destinate esclusivamente alla/e persona/e o all'ente sopra indicati. E' vietato ai soggetti diversi dai destinatari qualsiasi uso, copia e diffusione di quanto in esso contenuto sia ai sensi dell'art. 616 del codice penale che ai sensi della L. 196/03 (privacy). Se questo messaggio Vi e' pervenuto per errore, Vi preghiamo di non leggerlo, di distruggerlo e di comunicarci l'errore via e-mail o telefonando al numero +39 06515011. The information contained in this message is confidential and is intended for the exclusive use of the person(s) or company(s) above addessed. If you are not the intended recipient(s), you are expressly prohibited from using, copying and distributing this message or any part of it in accordance with art. 616 of the criminal code and the law 196/03 (privacy). If you receive this message please don't read it but destroy it and then inform us by e-mail or by phone - number +39 06515011.

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Reminder: Call for applications: Brains for Brains Young Researchers' Computational Neuroscience Award 2017
by Kerstin Schwarzwaelder April 24, 2017

April 24, 2017

Dear colleagues, Please let me remind you that, for the eighth time, the Bernstein Association for Computational Neuroscience<http://www.nncn.de/en/bernstein-association> is announcing the "Brains for Brains Young Researchers' Computational Neuroscience Award". The call is open for researchers of any nationality who have contributed to a peer reviewed publication (as coauthor) or peer reviewed conference abstract (as first author) that was submitted before starting their doctoral studies, is written in English and was accepted or published in 2016 or 2017. The award is endowed with a travel grant of 2.000 € to cover a trip to Germany, including participation in the Bernstein Conference 2017 in Göttingen (www.bernstein-conference.de<http://www.bernstein-conference.de>), and an individually planned visit to up to two German research institutions in Computational Neuroscience. Deadline for application is April 27, 2017 (2:00 p.m. CET). Detailed information about the application procedure can be found under: www.nncn.de/en/bernstein-association/brains-for-brains-2017<http://www.nncn.de/en/bernstein-association/brains-for-brains-2017> For inquiries please contact bernstein.network(a)fz-juelich.de<mailto:bernstein.network@fz-juelich.de> Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Call for papers: First International Workshop on Grounding Language Understanding (GLU 2017)
by Jean Rouat April 23, 2017

April 23, 2017

Call for papers GLU 2017 ==================== Apologies for cross posting. Please forward to your colleagues and peers. The **First International Workshop on Grounding Language Understanding (GLU 2017)** will be held at KTH Royal Institute of Technology, Sweden, on August 25, 2017. http://www.speech.kth.se/glu2017/ The purpose of this workshop is to bring together researchers from different disciplines (linguistics, language, robotics, systems neuroscience, cognitive science, signal processing, etc.) working with modeling different aspects of grounding language acquisition and understanding. Although speech and language technology have reached a level of maturity, machines still fall short of human performance, especially when considering flexibility and robustness. It is therefore desirable to extend the machine learning approach which has been applied to speech and language technology, and emulate more closely the way humans and living systems acquire language. Desirable properties of the new learning approaches would include: * being less dependent on annotated data, * acquiring knowledge from multimodal inputs (acoustic, visual, tactile), * learning from interaction, * relating learning to the situational context, * grounding language in the perceptual, emotional and sensorimotor experience of the agent This requires a highly multidisciplinary approach, combining the field of human language processing, speech technology, machine learning, developmental robotics and cognitive and systems neuroscience. Confirmed keynote speakers: ======================== * Emmanuel Dupoux, École des Hautes Etudes en Sciences Sociales, Paris, France. * Katerina Pastra, Cognitive Systems Research Institute, Athens, Greece Scientific Area Topics ================= * Language Learning via Grounded Dialogue * Language Generation for Embodied Tasks * Grounded Knowledge Representations * Skill Learning via Interactive Dialogue * Aligning and Translating Language to Situated Actions * Instructions for Navigation/Articulation/Manipulation * Mapping Language and World * Grounded Reinforcement Learning * Language-based Game Playing for Grounding * Structured and Deep Learning Models for Embodied Language * New Datasets for Embodied Language * Better Evaluation Metrics for Embodied Language Important Dates ============= Paper Submission: **Wednesday, 31 May 2017** Paper Notification Acceptance: **Wednesday, 28 June 2017** Publication of Full Programme: **Wednesday, 12 July 2017** Camera-ready Paper Due: **Wednesday, 26 July 2017** Registration Deadline: **Wednesday, 2 August 2017** Workshop: **Friday, 25 August 2017** Submission and Format =================== We invite original submissions from 3 pages to 4 pages of text, plus one page (maximum) for references in the INTERSPEECH format. Each submission will be reviewed by at least two members of the Scientific Review Committee. Submit your paper through EasyChair: https://easychair.org/conferences/?conf=glu2017 Proceedings and Publication ======================= Accepted papers will be published in the open access GLU2017 (indexed) proceedings. Registration ========== We are trying to keep the costs as low as possible. Registration fees should be around 150€. These will include the lunch, coffee breaks and the evening dinner on the day of the workshop. Sponsors ======== GLU2017 is supported by the CHIST-ERA/IGLU consortium and is an ISCA sponsored event and a satellite event for Interspeech 2017 in Stockholm. MORE Details at the workshop website: http://www.speech.kth.se/glu2017/ ----------------------------------------------- Jean Rouat, Prof., coord. IGLU, http://iglu-chistera.github.io Université de Sherbrooke Université de Montréal Member of the centre for Interdisciplinary research Professeur titulaire, Professeur associé in Music Media and Technology NECOTIS: Computational Neurosciences Vision, neuroscience Lab McGill Schulich School of Music and Intelligent Signal Processing FAS- Sciences biologiques 527 Sherbrooke St. West Faculté de génie, GEGI, C1-3108 90 avenue Vincent-d’Indy Montreal, Qc, 2500 boul. de l'université Montréal, Qc, Canada, H3A 1E3 Sherbrooke, Québec Canada, H3C 3J7 Canada, J1K 2R1 Tél.: +1(819)-821-8000 ext. 63864 http://www.gel.usherbrooke.ca/rouat http://bio.umontreal.ca/repertoire-departement/vue/rouat-jean/ http://www.gel.usherbrooke.ca/necotis http://www.usherbrooke.ca/gelecinfo/fr/pers/profs/rouj-fr/ Jean.Rouat(a)umontreal.ca ou Jean.Rouat(a)usherbrooke.ca

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Fully funded PhD Position at IIT Rovereto - Computational approaches to study the neural code
by Stefano Panzeri April 23, 2017

April 23, 2017

We are seeking candidates for a fully funded PhD position at the Italian Institute of Technology’s Neural Computation Laboratory ( http://cncs.iit.it/labs/neural-computation ) directed by Stefano Panzeri and located in Rovereto (Trento), Italy. IIT collaborates with Università degli studi di Trento and finances these positions at the PhD course in Cognitive and Brain Sciences. The PhD project is entitled “Computational approaches to study the neural code*”* Interested candidates are invited to informally approach *as soon as possible* Prof. Stefano Panzeri (stefano.panzeri(a)iit.it) by emailing their CV and briefly explaining their interest in this position. In order to formally apply to the PhD Position, candidates will then need to refer to the call published by Università degli Studi di Trento and available at the following link: http://web.unitn.it/en/drcimec/38030/2017-selection-announcement-topic-spec… *Deadline for formal application is 16 may 2017* Topic description: Computational approaches to study the neural code. This project will develop a mathematical analysis framework, based on the principles of information theory, to identify neurons that transform sensory information into behavioral choices. Ideally the candidate should have a background in a numerate discipline and a keen interest in neuroscience. For further information, please see Panzeri S, et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behavior. Neuron 93: 491-507 The successful candidate will have the opportunity to both develop new advanced methods and to analyze experimental data in collaboration with experimental neuroscience laboratories. The applicant should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is needed. However, a keen interest in understanding the brain is essential. For further information about the application see: PhD Application summary: http://web.unitn.it/en/drcimec/10141/application-summary-and-process <https://mail.iit.it/owa/redir.aspx?REF=hFWMrmQ81c9b8DyWuH-FKc0o2U8ec2QMk-G9…..> PhD Application link: https://www5.unitn.it/Apply/en/Web/Home/dott <https://mail.iit.it/owa/redir.aspx?REF=mvIGJaIQ3UO7GUlfSxUVk81RpBfT3kS_MYi-…..> PhD Application deadline: *Tuesday May 16, 2017, at 4pm *(Italian time) Regards Stefano Panzeri

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