September 2017 - Comp-neuro - lists.cnsorg.org

Creating a list of important computational predictions
by Yiota Poirazi 04 Jan '21

04 Jan '21

Dear all, I believe you would agree that, the greatest recognition of our computational work comes with the experimental verification of our computational predictions. To highlight the most important outcomes of our theoretical work and facilitate a closer interaction with experimental labs so as to increase the chances of our predictions being experimentally tested, I would like to encourage you to nominate your favorite prediction at the following google form: https://docs.google.com/forms/d/e/1FAIpQLSeJZ2RrXJ0nZonIuyNzN0Cl gXDKDb7xTzoJOiqZTGxm9Kh7ow/viewform?c=0&w=1&usp=mail_form_link This effort started during the CNS 2017 meeting in Antwerp with the support of the OCNS Board. The resulting list will be posted on the CNS 2017 web site and disseminated in social media, as a reference for experimentalists. Thank you very much for supporting this important effort! Best wishes, Yiota Poirazi -- Panayiota Poirazi, Ph.D. Research Director Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr FENS-Kavli Network of Excellence <http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/> -- This message has been scanned for viruses and dangerous content by *E.F.A. Project* <http://www.efa-project.org>, and is believed to be clean. Click here to report this message as spam. <http://mailgate1.imbb.forth.gr/cgi-bin/learn-msg.cgi?id=4BCD7A00A1.A57D7&to…> -- Panayiota Poirazi, Ph.D. Research Director Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr FENS-Kavli Network of Excellence <http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/>

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CFP: FLAIRS 2017, Marco Island, FL,
by bisant＠umbc.edu 18 Oct '18

18 Oct '18

CALL FOR PAPERS FLAIRS 2017, Florida Artificial Intelligence Research Symposium Special Tracks on Data mining and Special Track on Cyber Security Marco Island, Florida http://www.flairs-30.info/ Paper submission deadline: November 21, 2016. Notifications: January 23, 2017. Camera ready version due: February 27, 2017. FLAIRS is an interdisciplinary artificial intelligence conference which especially encourages novel ideas and which features a double-blind review process. Data Mining Track This special track will be devoted to data mining with the aim of presenting new and important contributions in this area. Papers and contributions are encouraged for any work related to Data Mining. Topics of interest may include (but are in no way limited to): 1. Applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 3. Feature extraction and selection. 4. Post-processing techniques such as visualization, summarization, or trending. 5. Preprocessing and data reduction. 6. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout or Apache Spark, are also encouraged. Cyber-Security Track Original high quality papers are sought for leading edge research and applications relating to the application of AI and Cyber Security. Topics of interest may include but are not limited to: · Machine Learning for Intrusion Detection Systems · NLP for text analysis in Cyber Security · Video and CCTV semantic analysis for terrorist or criminal action detection · AI & Biometrics, Internet of Things, and Cloud Computing security · AI & SCADA systems, Network Systems, and Embedded Systems security · Formal and theoretical approaches of intelligent security in WSNs · Legal and policy issues in intelligent security · Integrity, privacy, authentication and access control · Intelligent secure systems in multimedia databases · Social networks security · Intelligent incident response techniques in network and communication systems · Risk analysis and intelligent management · Virtual Private Networks intelligent security · Automated reasoning techniques of incidents and evidence analysis · Evidentiary aspects of digital forensics · Collaborative intelligent investigation · Intelligent systems in management, storage and reassembly · Steganography, watermarking, and forensic techniques in multimedia content processing · Lightweight security techniques · Intelligent Large-scale investigations and Big Data · Innovative non-repudiation techniques · Intelligent vulnerability analysis and assessment · Attacks tracking · Data hiding, tamper detection and recovery techniques · Security of e- healthcare systems and applications Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process). Submission Guidelines Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (or 4 pages for short paper, to be presented as a poster) and are due by November 21, 2016. For FLAIRS-30, the 2017 conference, the reviewing is a double blind process. Author names and affiliations should be Xd out on submitted papers to provide double-blind reviewing. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-30.info/). Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate which special track they are submitting to. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper.

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PhD Studentship in Computational and Systems Neuroscience
by Christopher Buckley 19 Jan '18

19 Jan '18

PhD Studentship: Distributed neural processing of self-generated visual input in a vertebrate brain A PhD studentship in Computational and Systems Neuroscience is available in the groups of Dr Christopher L Buckley (Department of Informatics) and Prof. Leon Lagnado (School of Life Sciences) at the University of Sussex from September 2017. During movement, sensory input and motor output are bound in a closed-loop: motor actions shape sensory input and sensory inputs inform future motor commands. We will characterise the neural circuits involved in the interactions between the sensory and motor systems using light-sheet microscopy to image neural activity across the brain of live zebrafish in a virtual reality environment (Nature. 2013;493: 466–468). The project will involve computational modeling and “big-data” analysis as well as experiments. Appropriate backgrounds therefore include physical and computational science as well as neuroscience. Experience with programming and a quantitative approach are essential. More information about the project is available at https://tinyurl.com/kjtxoq9. Informal enquiries can be made to Chris Buckley<http://www.christopherlbuckley.com/> (c.l.buckley(a)sussex.ac.uk<mailto:c.l.buckley@sussex.ac.uk>) or Leon Lagnado<http://www.sussex.ac.uk/lifesci/lagnadolab/> (l.lagnado(a)sussex.ac.uk<mailto:l.lagnado@sussex.ac.uk>). Sussex Neuroscience<http://www.sussex.ac.uk/sussexneuroscience> is one of the foremost centers for Neuroscience research in the UK and the University of Sussex has a beautiful campus on the outskirts of the lively South Coast town of Brighton. Application: Please apply through the post-graduate application system of the University of Sussex (http://www.sussex.ac.uk/study/apply). Please include a brief statement of your scientific interests and skills/experience in the mandatory “research proposal”, including how you would imagine your role in the project (max 2 pages) and include a full CV. Indicate Dr Christopher L Buckley as your preferred advisor and clearly state the title of the studentship. When you apply, please send a copy of your application documents to c.l.buckley(a)sussex.ac.uk<mailto:c.l.buckley@sussex.ac.uk>. Funding Notes The studentship includes a three year stipend at a standard rate (currently £14,296 per annum) and, in addition, fees at the UK/EU rate. Since the studentship only covers fees at the UK/EU rate, overseas applicants are kindly requested to state in their application how they propose to cover the difference between UK/EU and overseas fees. Deadline Applications will be considered on a rolling basis but candidates applying before 15 July can be sure to be considered. Christopher L Buckley Lecturer in Neural Computation University of Sussex Department of Informatics Sussex Neuroscience Falmer Brighton, UK email: c.l.buckley(a)sussex.ac.uk<mailto:c.l.buckley@sussex.ac.uk> twitter: @drclbuckley

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PhD positions at the Univ. of Leicester (for UK/EU candidates only)
by Quian Quiroga, Rodrigo (Prof.) 05 Oct '17

05 Oct '17

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

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Postdoc in computational neuroscience of consciousness
by Srivas Chennu 30 Sep '17

30 Sep '17

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

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Post-doctoral Research Scientist in Cochlear Implant Research, Psychoacoustics and Virtual Acoustics
by Seeber, Bernhard 29 Sep '17

29 Sep '17

Dear List, we are inviting applications for a post-doctoral research scientist to join our team in cochlear implant research, psychoacoustics and/or virtual acoustics. Main responsibilities are: - Research on binaural hearing and auditory scene analysis with normal hearing listeners and/or users of cochlear implants and/or - Development of techniques for and experiments in interactive audio-visual virtual reality - Development of listening tests and statistical analysis of the results - Publication in English-language scientific journals and presentations at conferences - Supervision of student projects, assistance with teaching and with raising external funding. The position is full time and will start at the earliest convenient date. We offer... you the opportunity to join an interdisciplinary team, to work with up-to-date technical equipment including an anechoic chamber hosting a virtual reality system, and to learn about the latest methods in hearing research. Our close interaction with the Bernstein Centre for Computational Neuroscience Munich (www.bccn-munich.de), the Munich School of BioEngineering (www.bioengineering.tum.de), the Graduate School of Systemic Neurosciences (www.gsn.uni-muenchen.de), the Hearing Research Network Munich, our extensive cooperation with industry and with scientific partners, and the numerous courses offered at TUM create an attractive environment with excellent perspectives for personal development. Please find further information at www.aip.ei.tum.de. Employment is according to the state employees salary scheme (TV-L/E13) and is initially for 1 year with the option for extension. Women are explicitly encouraged to apply. Severely handicapped persons will be favored if they are equally qualified. In principle, the position could also be filled part-time. Munich - the city famous for the Oktoberfest, high-end cars and its unique location to the Alps - is a bustling, international and interesting place to live which also offers a wide range of opportunities to engage in cultural and leisurely activities - from opera to skiing. Interested? I look forward to answering your questions on the phone (+49 89 289 28282) or by email. Please send your expressive application stating research interests preferably by email no later than 31 October 2017 to: Prof. Dr.-Ing. Bernhard Seeber Professorship for Audio Information Processing Technical University of Munich Arcisstrasse 21 80333 Munich Germany Email: aip(a)ei.tum.de. For further information about the post, including qualification requirements, please visit www.aip.ei.tum.de. Kind regards, Bernhard Seeber -- DAGA Conference Munich, 19.-22. March 2018 http://2018.daga-tagung.de/ Note: Abstract submission deadline: 01.11.2017 Prof. Dr.-Ing. Bernhard U. Seeber Professor of Audio Information Processing Dept. of Electrical and Computer Engineering Technical University of Munich Arcisstrasse 21 D-80333 Munich, Germany Office: +49 89 289-28282 Fax: +49 89 289-28211 Mobile: +49 (0)174 928 6338 Visitors: Theresienstrasse 90, building N5, room N6504 Web: www.aip.ei.tum.de www.bseeber.de

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PhD Studentship in Computer Science -- University of Surrey, UK
by a.gruning＠surrey.ac.uk 29 Sep '17

29 Sep '17

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

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NIH/NSF funded postdoc (U Penn/U Houston/CU Boulder)
by Zachary Kilpatrick 28 Sep '17

28 Sep '17

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

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Winter School on Deterministic & Stochastic Models in Neuroscience in Toulouse: December 11 to 15, 2017
by Zachary Kilpatrick 28 Sep '17

28 Sep '17

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

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Theoretical/Statistical Neuroscience Faculty Openings at Columbia
by Allison Ong 28 Sep '17

28 Sep '17

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

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