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Fully funded PhD position on computational methods for brain connectivity analysis
by Diego Sona 11 May '17

11 May '17

We are seeking candidates for a PhD position entitled “Computational Methods for Brain Connectivity Analysis” which mainly concerns with the development of novel approaches (based on pattern recognition and machine learning methodologies) for the brain connectivity analysis of neuroimaging data (fMRI, rsMRI, DTI, MEG, EEG, etc.). The PhD grant is jointly supported by Fondazione Bruno Kessler (FBK) and Istituto Italiano di Tecnologia (IIT). The research activity will take place at the Neuroinformatics Laboratory (NILab, https://nilab.fbk.eu/ <https://nilab.fbk.eu/>) and the Pattern Analysis and Computer Vision Department (PAVIS, http://pavis.iit.it/ <http://pavis.iit.it/>). NILab is an interdisciplinary laboratory raised as joint initiative between the Centre for Information Technology of FBK and the Centre for Mind/Brain Sciences of University of Trento (CIMeC, http://www.cimec.unitn.it <http://cimec.unitn.it/>). The applicant should have a strong background in machine learning and pattern recognition methodologies with a keen interest in neuroscience. The successful candidate will have the opportunity to work in an interdisciplinary environment. Interested candidates are invited to contact Paolo Avesani (avesani(a)fbk.eu <mailto:avesani@fbk.eu>) and Diego Sona (diego.sona(a)iit.it <mailto:diego.sona@iit.it>) by emailing their CV and a short statement of interest in this position. The candidates must in any case formally apply for the PhD grant following the instructions in the call published by Università degli studi di Trento (see the application webpage http://ict.unitn.it/application/ict_doctoral_school <http://ict.unitn.it/application/ict_doctoral_school>) referring to position A3. Deadline for formal application is May 31, 2017, hrs. 04.00 PM (Italian time, GMT +2) For further information on the position and the application process refers to the following links http://ict.unitn.it <http://ict.unitn.it/application/ict_doctoral_school> http://ict.unitn.it/application/project_specific_grants <http://ict.unitn.it/application/project_specific_grants>

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Deadline extended to 21st May: Joint OCCAM / socSMC Workshop on "Mechanisms and models of social interaction"
by Peter König 11 May '17

11 May '17

Deadline for abstract submission and registration extended to 21st May! ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OCCAM / socSMC Workshop on "Mechanisms and models of social interaction" in Osnabrück from the 6th to 8th July 2017 (http://www.occam-os.de/occam.html) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tamil Asfour*, Karlsruhe Institute of Technology Verena Hafner*, Humboldt-Universität of Berlin Ivan Herreros*, UPF Barcelona Concetta Morrone*, University of Pisa Bernhard Hommel*, Leiden University Ivana Konvalinka*,Technical University of Denmark Simone Schütz-Bosbach*, LMU Munich Markus Siegel*, University Tübingen Luciano Fadiga*, University of Ferrara Tobias Heed*, University of Bielefeld Basil Wahn*, Osnabrück University Ophelia Deroy*, University of London Susan Brennan, Stony Brooks University Thomas Metzinger*, University Mainz Merle Faihurst*, University of London Hauke Heekeren*, Free University Berlin The OCCAM (Osnabrück Computational Cognition Alliance Meeting) is organized by Gordon Pipa, Frank Jäkel and myself and brings together well established outstanding researchers as well as young promising scientists. This year, the 6th workshop of the series, jointly with the socSMCs project and coordinates with Andreas Engel (http://socsmcs.eu/) we focus on social interactions. The topic comprises theoretical, computational, physiological and robotics approaches. The program includes full length talks (see above), student presentations, a poster session, guided poster tours and a public talk to the general audience. We go to great length to actively involve all participants. Furthermore, there will also be time for informal discussions. Osnabrück is a charming town with a long history many places worth visiting (https://www.osnabrueck.de/english.html) It is conveniently located at the intersection of major train routes and has a local airport with good connections to major hubs (Frankfurt, Munich, London-City Airport) as well as a selection of further direct connections. More detailed travel information can be at http://www.occam-os.de/travel-info.html. We'd be happy if this meeting is of interest to you or your students and hope to welcome you in Osnabrück in summer 2017. Best, Peter, Gordon, Frank & Andreas -- Prof. Dr. Peter König Institute of Cognitive Science University Osnabrück Wachsbleiche 27 49090 Osnabrück +49 541 969 2399 http://cogsci.uni-osnabrueck.de/~NBP/

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Call for Extended Abstracts: ICML2017 Workshop on Computational Biology
by Sandhya Prabhakaran 10 May '17

10 May '17

Dear all, We invite submissions to the Workshop on Computational Biology (https://sites.google.com/ view/compbioworkshopicml2017) to be held in conjunction with ICML 2017 (https://2017.icml.cc/) conference in Sydney, Australia (Aug 6th - 11th, 2017). In Computational Biology, there have been credible developments in many high-throughput technologies that enable data generation from many interesting biological systems. The gamut of novel algorithms in Machine Learning makes it very attractive to apply these methods to the challenging biological questions. It therefore only seems befitting to bring together researchers engaged in applying ML in Computational Biology to discuss recent advances in this interdisciplinary field and ongoing developments. We have invited several distinguished speakers from the Computational Biology community to discuss and present their current research. We invite extended abstracts dealing with interesting applications of ML methods or bioinformatics approaches to biological and biomedical data arising from, but not limited to NGS technologies (ATAC-seq, ChIP-seq, Hi-C etc), CyToF, single-cell sequencing, electronic health records, and imaging technologies. In terms of methods, supervised and unsupervised ML, deep learning, multi-task learning, kernel methods, probabilistic graphical models would all be appropriate for the workshop. Important Dates --------------- Deadline for submissions : June 5th 2017 Notification of acceptance : June 16th, 2017 Workshop date : Aug 10th or 11th, 2017 Submission ---------- All novel Computational Biology approaches are of interest to the workshop. We welcome original extended abstracts that present recently published work as well as preliminary ideas. Extended abstracts should not exceed 4 pages in length (plus 1 optional page for references) and should be in pdf format (one column, font size 12). The submission need not be anonymized. If the abstract concerns previously published work, please cite the original paper in the workshop submission. All accepted contributions shall be presented at the poster session. There will be Travel Awards for Contributed Talks and Awards for Best Poster Presentations. Accepted abstracts will have the option of being published on the workshop website. For authors who do not wish their abstracts to be posted online or become citable, please mention this in the workshop submission. Submissions should be made through the EasyChair system: https://easychair.org/ conferences/?conf=wcb2017 Invited Speakers ---------------- Anshul Kundaje (https://profiles.stanford. edu/anshul-kundaje), Stanford University Suchi Saria (http://www.suchisaria.com/) Johns Hopkins University Cheng Soon Ong (http://www.ong-home.my/) Data61, Canberra Registration ------------ All participants must register for the ICML 2017 workshop (https://2017.icml.cc/ Register2). Contact ------- For workshop-related queries please contact: wcbicml(a)gmail.com We are looking forward to your submissions! Organizing Committee: Dana Pe'er (https://www.mskcc.org/ research-areas/labs/dana-pe-er ), MSKCC Christina Leslie (https://www.mskcc.org/ research-areas/labs/christina- leslie), MSKCC Barbara Engelhardt (https://www.cs.princeton.edu/ ~bee/), Princeton University Elham Azizi (http://elhamazizi.info/) MSKCC Sandhya Prabhakaran (http://sandhyaprabhakaran. com/), MSKCC Meghana Kshirsagar (http://www.cs.cmu.edu/~ mkshirsa/), MSKCC Ambrose Carr (http://ambrosejcarr.com/) MSKCC (MSKCC: Memorial Sloan Kettering Cancer Center, NYC)

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Vanderbilt University - Multimodal Imaging Data Analyst Position
by Vago, David R 10 May '17

10 May '17

Job description Vanderbilt University – Osher Center for Integrative Medicine – Data Analyst The Contemplative Neuroscience and Integrative Medicine lab (CNIM)<http://davidvago.bwh.harvard.edu/contemplative-neuroscience-and-integrative…> at the Osher Center for Integrative Medicine at Vanderbilt University Medical Center<https://www.vanderbilthealth.com/osher/> invites applications for a data analyst position. The appointment is for 1-3 years with the possibility to establish an independent program and a faculty appointment at VUMC The mission of The Osher center's new CNIM research laboratory is to alleviate suffering and improve well-being through rigorous investigation of the mind. Under the direction of David Vago, PhD<https://faculty.mc.vanderbilt.edu/Faculty/Details/41416>, the CNIM utilizes a translational approach to identify and characterize neurobiological substrates mediating psychopathology, to better predict outcomes and clarify potential biologically-based diagnostic and therapeutic strategies for those suffering with mental illness and chronic pain. This is an exciting opportunity to contribute your technical expertise and creativity to innovative research projects in a collaborative, multi-disciplinary environment and to gain experience in patient-centered research using psychological, first-person phenomenological, cognitive-behavioral, genomic, neuroendocrine, physiological (e.g., EEG, EMG, ECG, HR, BP, pupillary, skin conductance) and multimodal (e.g., fMRI, MRI, DTI, MRS, EEG-fMRI) brain imaging techniques. The successful candidate will have access to state-of-the-art brain imaging and computational facilities at the Vanderbilt University Institute of Imaging Science (VUIIS)<http://www.vuiis.vanderbilt.edu/>, the VU Brain Institute<https://medschool.vanderbilt.edu/brain-institute/>, the largest DNA databank (BioVU) in the world, and Vanderbilt Institute for Clinical and Translational Research (VICTR) in order to carry out high-impact multi-disciplinary research and development of innovative mental health applications. Access to de-identified medical record information and data associated with participation in integrative medicine therapies is also available from Bravenet<http://www.bravewell.org/current_projects/bravenet/>, the nation's largest practice-based integrative medicine research network across 19 collaborative institutions. The successful candidate will work closely with our expert team of clinicians and research staff, neuroimaging faculty, and collaborators across the Vanderbilt University campus to contribute to the rigorous investigation of mind-brain-body interactions and their therapeutic relevance in health care settings. The post-doctoral fellow will be expected to contribute to ongoing projects and to develop an independent line of research. Mentorship, training, and professional development opportunities will be provided to facilitate the fellow's future career in academic, research, or industry settings with expertise in affective neuroscience, the science of meditation and integrative medicine. We are seeking a candidate with the following qualifications/experience: * A PhD and relevant research experience in cognitive neuroscience, computational neuroscience, brain network modeling, biostatistics, bioinformatics, or related fields. * Experimental paradigm design/implementation (e.g., E-Prime, Presentation, PsychoPy, etc.), * Psychophysiological experimentation (e.g., Startle-blink, skin conductance, etc.) * Neuroimaging analyses (e.g., GLM, MVPA, ICA, functional and anatomical connectivity/morphometry) using both BOLD and ASL. * Computational methods and programming/scripting skills used in neuroimaging (e.g., Matlab, C/C++, Python, AFNI, FSL, SPM, Freesurfer). * Exceptional skills in experimental design, quantitative methods, statistical modeling, and the ability to carry out independent data entry and statistical analyses using standard software packages (e.g., SPSS, SAS, R) are particularly desirable. * Solid mastery of written English and show evidence of peer-reviewed publications. Candidate must be eligible to work in United States. We offer a competitive salary that is commensurate on experience plus full benefits. Start date as soon as possible. This is a 1-3 year full-time position that depends upon leveraging future funding and performance. Please email a CV, statement of research interests and relevant background, and names of three referees to Dr. David Vago at david.vago(a)vanderbilt.edu<mailto:david.vago@vanderbilt.edu> ============================== David R. Vago, Ph.D. | Research Director | Osher Center for Integrative Medicine at Vanderbilt University Associate Professor | Department of Physical Medicine & Rehabilitation | Department of Psychiatry & Behavioral Sciences | Contemplative Neuroscience & Integrative Medicine Laboratory<http://davidvago.bwh.harvard.edu/contemplative-neuroscience-and-integrative…> 3401 West End Ave., Suite 380 (3rd floor) | Nashville, TN 37203 | O: (615) 875-9555 ------- Research Associate, Department of Psychiatry | Brigham & Women’s Hospital | Functional Neuroimaging Laboratory<http://neuroimaging.bwh.harvard.edu/> | Boston, MA 02115 http://contemplativeneurosciences.com<http://contemplativeneurosciences.com/>

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Summer school in Neurogeometry
by Sarti Alessandro 10 May '17

10 May '17

http://nobelio.math.unifi.it/smi/ Summer School in Neurogeometry Organisers Dmitri Alekseevsky (Russian Academy of Science) Giovanna Citti (University of Bologna) Jean Petitot (CAMS - EHESS) Alessandro Sarti (CAMS - EHESS/CNRS) from July 2 to July 14 2017 Palazzone of the Scuola Normale Superiore, Cortona, Italy ______________ Jêrome Ribot College de France Physiological properties of neurons in the primary visual cortex Enrico Le Donne University of Jyvaskyla Riemannian and subRiemannian geometry in Lie groups Davide Barbieri Universdad Autonoma de Madrid Harmonic analysis for modeling visual cortical functions Remco Duits TU Eindhoven Orientation score theory and its solutions to cortical PDE, ODE and Wavelet models ______________ Scope is to provide students at the end of Master classes or at the beginning of PhD school with an introduction to Neurogeometry. Instruments of differential geometry in anisotropic structures and experimental brain data allow to build efficient models of the visual cortex, with applications to image processing. Theoretical courses will be held in the morning and complementary activity in the afternoon. The registration to Cortona Neurogeometry 2017 course is open on line at http://nobelio.math.unifi.it/smi/ Deadline for applications is June 10, 2017 . A selection committee will meet shortly afterwards and all accepted foreign applicants will be notified of the result in due time. Applications should contain a BRIEF CURRICULUM VITAE and a DETAILED CURRICULUM STUDIORUM and should. The exact e-mail address to which all correspondence concerning the Summer courses has to be mailed should be clearly stated

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full-time job openings at HRL Laboratories in Malibu, CA
by Pilly, Praveen K 10 May '17

10 May '17

(1) POST DOC RESEARCH STAFF, Machine Learning and Brain-Inspired Computing EDUCATION DESIRED: Ph.D. in Applied Mathematics, Neuroscience, Machine Learning, or related fields. ESSENTIAL JOB FUNCTION: To develop, implement, and evaluate novel large-scale brain-inspired computational architectures, including spiking neuromorphic models, to solve complex problems such as resilient sensorimotor control; one-shot learning; visual scene segmentation, recognition, and tracking; spatiotemporal pattern discovery; big data prognostics and diagnostics; grammar learning; etc. Additional job functions include writing invention disclosures, publishing papers, making presentations, and assisting in marketing HRL expertise. KNOWLEDGE AND EXPERIENCE DESIRED: Programming proficiency in C++, Python, or Matlab is required. Knowledge and/or research experience in the development, implementation, and evaluation of various neural networks including spiking neuromorphic models, deep learning models, hierarchical temporal memory models, recurrent neural networks, long short-term memory models, deep reinforcement models. Knowledge of expectation maximization theory, Bayesian inference on graphical models, reinforcement learning theory, control systems, nonlinear optimization, and episodic, semantic, and procedural memory systems is preferred. Any experience with high-performance computing using clusters, GPUs, or FPGAs will be a plus. ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, and active participation in R&D team activities are required. Able and willing to occasionally travel. SPECIAL REQUIREMENTS: Should be U.S. citizen or permanent resident. If interested, please apply at the following link: https://www4.recruitingcenter.net/Clients/HRL/PublicJobs/controller.cfm?jba…. Also, send your resume via email to Dr. Praveen Pilly (pkpilly(a)hrl.com<mailto:pkpilly@hrl.com>) and put the pertinent Job Name in the subject heading. (2) POST DOC RESEARCH STAFF, Machine Learning and EEG Processing EDUCATION DESIRED: Ph.D. in Applied Mathematics, Neuroscience, Machine Learning, Bio-Statistics, or related fields ESSENTIAL JOB FUNCTION: To develop, implement, and validate real-time pattern recognition algorithms for decoding high-density EEG signals to predict future behavioral performance and inform non-invasive brain stimulation for behavioral enhancement in realistic tasks. Additional job functions include writing invention disclosures, publishing papers, making presentations, and assisting in marketing HRL expertise. EXPERIENCE DESIRED: Research experience in one or more of the following areas: high-density EEG decoding, pattern recognition applied to brain/body signals, machine learning with very limited training data, brain-machine interfaces, neural statistical modeling, closed-loop brain stimulation, and computational neuroscience. Deep understanding of machine learning algorithms applied to EEG is highly desirable. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. Individuals with a keen interest in translating basic neuroscience research into real-world applications are especially encouraged to apply. KNOWLEDGE AND EXPERIENCE DESIRED: Background in one or more of the following areas: machine learning, pattern recognition, statistical data analysis, neural statistical modeling, neurophysiology, peripheral physiology, neuroscience, and sleep/wake states. Programming proficiency in Matlab and/or C++ is required. ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills and active participation in R&D team activities are required. Able and willing to occasionally travel. SPECIAL REQUIREMENTS: Should be U.S. citizen or permanent resident. If interested, please apply at the following link: https://www4.recruitingcenter.net/Clients/HRL/PublicJobs/controller.cfm?jba…. Also, send your resume via email to Dr. Praveen Pilly (pkpilly(a)hrl.com<mailto:pkpilly@hrl.com>) and put the pertinent Job Name in the subject heading. We are proud to be an EOE/Minorities/Females/Vet/Disability employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing. The Information and Systems Sciences Laboratory (ISSL) at HRL Laboratories conducts groundbreaking research in three thrust areas: Complex Networks, Secure and Resilient Systems, Autonomy Computing, and Human-Machine Cognition. We create new and innovative capabilities for diverse applications such as cyber-security, unmanned autonomous systems, human performance augmentation, big data analytics, intelligence, surveillance, and reconnaissance, and electronic warfare. The goal of our research in Human-Machine Cognition is to understand how humans process information and effectively interact with the environment to develop smarter autonomous systems, enhance human performance, and develop novel processing systems. Our research starts with the development of large-scale, neurobiologically and behaviorally faithful brain region models. We apply these models along with real-time measurements of brain activity (EEG, fMRI, fNIRS) to create advanced brain-computer interfaces, human decision aids, and neurostimulation-based enhanced training systems. We also use our models to develop novel brain-inspired sensor exploitation, machine learning, and control algorithms, and to develop low size, weight and power brain-based processing hardware for resilient autonomous systems, dexterous robots, and threat warning applications. HRL offers a competitive salary and benefits package, a small company atmosphere, and an ideal work location overlooking the Pacific Ocean. We also provide a collaborative technical culture committed to producing the leading R&D in the world. -- Praveen K. Pilly, Ph.D. Research Staff Scientist Information and Systems Sciences Laboratory HRL Laboratories Address: 3011 Malibu Canyon Road, Malibu, CA 90265 Tel: (310) 317-5492 Email: pkpilly(a)hrl.com

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Post-doctoral Fellowship in modelling brain networks and dynamics
by Alex Fornito 10 May '17

10 May '17

Post-doctoral Fellowship in modelling brain networks and dynamics We seek a talented post-doctoral researcher to work on developing and applying biophysical models of large-scale brain dynamics, particularly neural mass models and neural field models, with a focus on: - applying the models to understand empirical brain imaging data acquired with magnetic resonance imaging (MRI), positron emission tomography (PET), electroencephaolography (EEG), magnetoencephalography (MEG) and/or transcranial magnetic stimulation (TMS); - integrating the models with data derived from genetic and other molecular techniques; and - using the models to understand brain disturbances in psychiatric disorders such as schizophrenia. The position is funded for three years and is offered at level A or B, depending on experience and track record. The Fellow will be based in team of A/Prof Fornito in the Brain and Mental Health Lab at Monash University, Melbourne, Australia. It involves close collaboration with Prof Gustavo Deco, and will require regular travel to Prof Deco’s lab at Pompeu Fabra University, Barcelona, Spain. For further details, please see: careers.pageuppeople.com/513/cw/en/job/561731/research-fellow-brain-and-men… ___________________________________ Alex Fornito Associate Professor Brain & Mental Health Laboratory Monash Institute of Cognitive & Clinical Neurosciences A: 770 Blackburn Rd, Clayton, 3800, Vic, Australia P: +61 3 9902 9796 F: +61 3 9902 9817 E: alex.fornito(a)monash.edu W: http://www.med.monash.edu.au/psych/bmh/ T: @AFornito Book: http://bit.ly/1mz215S

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Call for 21 positions to the three-year Ph.D. Program in BioRobotics at The BioRobotics Institute, Scuola Superiore Sant'Anna, Italy
by Alberto Mazzoni 09 May '17

09 May '17

Dear Colleagues, The Scuola Superiore Sant’Anna (SSSA), Pisa, Italy, announces 21 positions funded with fellowships and research grants for admission to the three-year Ph.D. Program in BioRobotics. The Program The Ph.D. Program in BioRobotics is a three-year course of advanced studies and supervised research; at the end of the Program, the Ph.D. degree is conferred to students who have fulfilled the didactic requirements and passed a final examination with thesis dissertation. The Ph.D. Program aims at educating highly competent researchers with the potential to be leaders in this area. The students will be educated in a stimulating and multidisciplinary environment, both through high-level courses and through demanding, creative and original research work. Doctoral research projects will be carried out in very well equipped, state-of-the-art laboratories (in such fields as bio-robotics, micro- and nanotechnology, biomimetics, prosthetics) and through individual and team work performed under the supervision of a committed full-time faculty. The students will investigate how biological systems work from an engineering viewpoint, and will make use of such knowledge to pursue challenging research projects aimed at modeling, designing and building novel components and systems for biomedical applications. At the end of the Ph.D. Program, students will possess solid scientific and engineering skills, the ability to conceive and carry out original research projects, and an autonomous entrepreneurship spirit. The Scuola Superiore Sant’Anna SSSA is a public university where merit and talent count. Excellence in training and research, internationalization, interaction with the job market are the objectives of SSSA. Scuola Superiore Sant'Anna offers training and postgraduate courses in Economics and Management, Law, Political Science, Agricultural Science and Biotechnology, Medicine, and Industrial and Information Engineering. SSSA is a scientific community where the academic staff and researchers interact with students through a continuous exchange of cultural, creative and intellectual ideas ( http://www.santannapisa.it/it) The Ph.D. Program is managed by the BioRobotics Institute. Its mission is to educate the Engineer of the 21st Century: a competent, interdisciplinary, and creative inventor and entrepreneur, able to handle new technological and scientific challenges ( http://www.santannapisa.it/it/istituto/biorobotica/biorobotics-institute) Admission Students are admitted to the Program following a successful entrance examination. Eligible applicants must hold a Master of Science (M.Sc.) degree or equivalent title. Undergraduate students may also apply if they graduate within Oct. 31st. The Program will start Oct 1st 2017. Instructions for applicants are reported here: https://www.santannapisa.it/en/admissions/call-admission-phd-biorobotics-0 The deadline for application is June 15, 2017

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PhD position/s at Centre for Systems Neuroscience - University of Leicester, UK
by Quian Quiroga, Rodrigo (Prof.) 09 May '17

09 May '17

***apologies for multiple postings*** Fully Funded PhD Studentships (for UK/EU candidates only) Centre for Systems Neuroscience, University of Leicester, UK. 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. The project involves the study single cell recordings in humans – performed in epileptic patients for curative surgery – with Prof. Rodrigo Quian Quiroga. 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 excellent 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. For a description of the research activities at the Centre for Systems Neuroscience, see: www.le.ac.uk/csn 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) The closing date for the applications is Monday 12 June 2017. Starting date will be in September 2017. Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

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Faculty position in Motor Control - University of Birmingham, UK
by Sang-Hoon Yeo 09 May '17

09 May '17

Faculty (Lecturer / Senior Lecture) position available at School of Sport, Exercise and Rehabilitation Sciences in University of Birmingham. https://atsv7.wcn.co.uk/search_engine/jobs.cgi?amNvZGU9MTY0MDg5NiZ2dF90ZW1w… Best wishes, Sang-Hoon -- Dr Sang-Hoon Yeo Lecturer in Biomechanics and Motor Control School of Sport, Exercise & Rehabilitation Sciences The University of Birmingham Edgbaston, Birmingham, B15 2TT, United Kingdom +44(0)121 414 8748

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2nd CfP: Coupling & Causality in Complex Systems, Sep 25-27, Cologne, Germany
by Michael von Papen 09 May '17

09 May '17

============================================================== 2nd CALL FOR PAPERS (Deadline: June 01, 2017) http://c3s.uni-koeln.de ============================================================== INTERNATIONAL CONFERENCE: *Coupling and Causality in Complex Systems* September 25-27, 2017, Cologne, Germany -------------------------------------------------------------- The interdisciplinary conference Coupling and Causality in Complex Systems (C3S) is hosted by the Competence Area 3: Quantitative Modeling of Complex Systems of the University of Cologne (UoC), Germany. It is organized by the Institute of Geophysics & Meteorology, UoC, the Institute of Clinical Neuroscience and Psychology, Heinrich-Heine University Düsseldorf and the Department of Cognitive Neuroscience at the Research Center Juelich. -------------------------------------------------- *Invited Speakers* Jörg Breitung - Macroeconomic Policy Institute, University of Cologne, Germany David Gross - Institute of Theoretical Physics, University of Cologne, Germany Philip Holmes - Mechanical and Aerospace Engineering / Princeton Neuroscience Institute, Princeton, USA Ankit Khambhati - Department of Bioengineering, University of Pennsylvania, USA Laura Marzetti - Department of Neuroscience, Università degli Studi "G. d'Annunzio" Chieti - Pescara Arkady Pikovsky - Institute of Physics and Astronomy, University Potsdam, Germany Michael Rosenblum - Institute of Physics and Astronomy, University Potsdam, Germany Jakob Runge - The Grantham Institute for Climate Change, Imperial College London -------------------------------------------------- *Preliminary Session Program* We will have different sessions with differing topics and each session will be opened by one of the invited speakers. Here is a preliminary version of our program: Session 1 Synchronization I Arkady Pikovsky Session 2 Synchronization II Silvia Daun Session 3 Coupled oscillators I Phil Holmes Session 4 Coupled oscillators II Michael Rosenblum Session 5 Phase coupling Laura Marzetti Session 6 Network structures Ankit Khambati Session 7 Bayesian networks David Gross Session 8 Granger causality I Jörg Breitung Session 9 Granger causality II Esther Florin Session 10 Causal network measures Jakob Runge Further topics of interest for the conference include, amongst others, research and methods development on: functional connectivity, (partial directed) coherence, network topology, graph-theoretic measures, directed graphs, nonlinear dynamics of complex systems, complex spatio-temporal systems, mutual information and transfer entropy. -------------------------------------------------------------- *Scientific Organizing Committee* Silvia Daun - Institute of Zoology, University of Cologne, Germany; Institute of Neuroscience and Medicine, Research Center Jülich, Germany Esther Florin - Institute of Clinical Neuroscience and Psychology, Düsseldorf, Germany Joachim Gross - Center for Cognitive Neuroimaging, Glasgow, UK Michael von Papen - Institute of Geophysics & Meteorology, Cologne, Germany; Institute of Neuroscience and Medicine, Research Center Jülich, Germany -------------------------------------------------------------- *Abstract* Complex systems such as the human brain, Earth’s climate and economy are characterized by a multitude of coupled processes on different spatial and temporal scales. In order to better understand the dynamics of the system at hand each scientific area has developed specific tools to identify, model and quantify these processes. The conference Coupling and Causality in Complex Systems (C3S) will present a collection of these approaches with the aim to provide scientists with new analysis strategies for their field. The conference focuses on how to characterize a complex system and on the methods for estimating and modeling of statistical coupling (e.g. network coherence, creation and modulation of small networks and local or long-range synchronization by cross frequency phase-phase and phase-amplitude coupling) and causality (e.g. Granger causality, transfer entropy). Therefore, data analysts from different study fields including neuroscience, mathematics, physics, biology, and economy will present their approaches with a particular focus on the methods they use. The aim of this conference is to foster discussions and the transdisciplinary exchange of advanced techniques, methods, and algorithms, thereby stimulating potential future collaborations. -------------------------------------------------------------- PAPER SUBMISSION AND REGISTRATION Authors are invited to submit conference abstracts with up to 400 words. Authors of exceptional abstracts will be given the opportunity to present their research in a talk. However, poster sessions will be provided with ample time for discussions. For your submission, please use the conference website c3s.uni-koeln.de. To register, please send an email with the subject "registration" to c3s-conference(a)uni-koeln.de. Please be sure to include your full name, your affiliation and whether you qualify as student (also PhD candidates) or not. The registration fee will cover snacks and refreshments during coffee breaks, lunch and a dinner with all participants. Early-bird registration is available until July 10 with a reduced fee of 100 EUR (50 EUR for students), after July 10 the registration fee will be 200 EUR (100 EUR for students). -------------------------------------------------------------- IMPORTANT DATES Paper Submission deadline: June 01, 2017 Author Notification: mid June, 2017 Early-bird registration: July 10, 2017 Conference: September 25-27, 2017 ============================================================== Please find the call for papers and more information at the conference website: http://c3s.uni-koeln.de. For questions regarding the conference feel free to contact us via c3s-conference(a)uni-koeln.de. -- ------------------------------------------ UNIVERSITY OF COLOGNE Institute of Geophysics & Meteorology Coordinator of Competence Area III: Quantitative Modeling of Complex Systems Dr. Michael von Papen Email: m.papen(a)uni-koeln.de http://www.uni-koeln.de/~vpapenm http://complexsystems.uni-koeln.de -- ------------------------------------------ UNIVERSITY OF COLOGNE Institute of Geophysics & Meteorology Coordinator of Competence Area III: Quantitative Modeling of Complex Systems Dr. Michael von Papen Email: m.papen(a)uni-koeln.de http://www.uni-koeln.de/~vpapenm http://complexsystems.uni-koeln.de -- RESEARCH CENTRE JUELICH Institute of Neuroscience and Medicine (INM-6) & Institute for Advanced Simulation (IAS-6) Dr. Michael von Papen Email: m.von.papen(a)fz-juelich.de Tel.: +49 2461 61-96482 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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Second CfP: ACM Symposium on Applied Perception 2017
by Douglas Cunningham 08 May '17

08 May '17

Symposium on Applied Perception Call for Papers and Posters The ACM Symposium on Applied Perception (ACM SAP) aims to advance and promote research that crosses the boundaries between perception and disciplines such as graphics, visualization, computer vision, haptics and acoustics. These fields can benefit from the exchange of ideas. The scope of the conference includes applications and algorithms in any area of research that incorporates elements of perception and computer science. Our fourteenth annual event provides an intimate, immersive forum for exchanging ideas about areas of overlapping interests. The ACM SAP 2017 conference will be held in Cottbus, Germany at the Brandenburg University of Technology on the 16th and 17th of September, 2017. We aim to further promote communication between the core perception and computer graphics communities. We invite submissions of original work in all areas of applied perception. Relevant areas include: Modeling, rendering, and animation Visualization Computational aesthetics Haptic rendering, haptic input and perception Perception of virtual characters Color vision and color appearance modeling Perception of high dynamic range scenes and images Interaction techniques and interfaces Augmented reality Virtual worlds Display technologies Auditory display and interfaces Perceptual auditory coding Spatialized sound Speech synthesis and recognition Sensory integration Multimodal rendering Spatial and temporal vision Attention and eye movements Statistical learning and perception of natural scenes Perception of shapes, surfaces, and materials Papers Research can be submitted as a long paper (up to 8 pages and up to 20 minute talk), a short paper (up to 4 pages and up to 15 minute talk), or as a poster presentation (1 page abstract). All submissions should follow the generalSIGGRAPH formatting guidelines. Diagrams and images should be represented in color where appropriate. Papers that are not accepted will be considered for the poster session. Authors of posters accepted by this route will, of course, have the option to decline the opportunity to present a poster. Posters The posters program at SAP provides an informal venue for authors to share their research achievements and further discuss them with others. In that spirit, we encourage all types of scholarly submissions that fit the scope of ACM-SAP. In particular, we explicitly welcome poster submissions on work-in-progress and on work that may have been previously published elsewhere but for which additional dissemination and discussion is desired. The poster session is an integral part of SAP and the SAP program will include a dedicated time slot for poster viewing and discussion. All poster presenters will also have the opportunity to give a one-minute presentation on their work during a poster fast-forward session. NOTE: SAP poster abstracts are NOT considered to be publications, and as such will NOT appear in the ACM Digital Library. Poster abstracts WILL be included in the conference USB drive. Poster abstracts should follow the general SIGGRAPH formatting guidelines, except that they should be 1 page long. . Further details All papers will be carefully reviewed by our International Program Committee. SAP follows a double blind review process. Papers will be evaluated as submitted, given limited time between submission and printing of final versions. Under a recent agreement with the ACM Transactions on Applied Perception (TAP) and the ACM Publications Board, the strongest accepted papers will be offered publication as full papers in the ACM journal TAP. Authors of such special issue papers must agree to present the paper at ACM SAP. As has always been the case, authors of regular ACM SAP papers can still submit to TAP regular issues with appropriate additions. Papers that have been recommended for acceptance in the ACM TAP journal will undergo a second review cycle, during which the authors will revise the paper to address reviewer concerns (similar to conditional acceptances at ACM SIGGRAPH). Please note that TAP referrals are conditional. The TAP reviewers may recommend bringing the paper back to the SAP proceedings if the quality of the revision is inadequate. Therefore, it is very important to incorporate as many reviewer comments as possible into the revision. The revised paper has to be submitted in TAP format to Manuscript Central and must include a cover letter stating that the submission is for the SAP special issue. The cover letter should also document the list of changes made to the paper to address the reviewer concerns. Reformatting an 8-page paper from the SAP format to the TAP format typically adds a few pages so we expect the final papers will have somewhere between 10-15 pages. TAP papers must not exceed 20 pages in length. Complete TAP author guidelines and templates are available at h ttp://tap.acm.org/authors.cfm. Conference Chairs Douglas W. Cunningham, Brandenburg University of Technology Michael Breuß, Brandenburg University of Technology Program Chairs Sophie Joerg, Clemson University Victoria Interrante, University of Minnesota Poster Chair Susana Castillo Alejandre, Brandenburg University of Technology Deadlines Papers: Monday, May 22: Mandatory abstract submission Friday, May 26: Paper submission deadline Friday, June 23: Decisions announced Friday, July 14: Final papers due Papers recommended for TAP: Friday, July 14 (Camera Ready) Revisions to TAP recommended papers due (anonymous, in TAP format) Friday, July 21: Notification to TAP authors Posters: Friday, July 7: Poster submission Friday, July 21: Decisions announced Friday, July 28: Camera ready version of 1-page abstract due ##SELECTION_END##

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PhD positions - perception, learning, and cognitive state
by Nelson Totah 08 May '17

08 May '17

PhD Position - Max Planck Institute for Biological Cybernetics (Tübingen, Germany) The Max Planck Institute for Biological Cybernetics offers 2 PhD student positions under the supervision of Dr. Nelson Totah in the department of Prof. Nikos Logothetis (Department of Physiology of Cognitive Processes). The projects will study the roles that attention and arousal play in learning and cognitive control. The learning task involves flexibly attending to visual and auditory stimuli. Students will record frontal cortex neurons and brain stem norepinephrine neurons from head-fixed rats during learning. We will also explore novel methods for activating the norepinephrine system to improve learning and cognition impairments in psychiatric disorders. Applicants should have a degree in neuroscience, biology, or experimental psychology. Candidates with a background in engineering, physics, or related fields are also encouraged to apply their skills to the analysis of neurophysiological data, but these applicants should also have interest in our ultimate goal of understanding behavior and cognition. Prior experience working with behaving rats or mice, programming (MATLAB), and a mathematical or computational background are all highly desirable in applicants, but not all required. English language fluency is required, but German language fluency is not required for laboratory work or classes. Students will join the International Max Planck Research School for Systems and Cognitive Neuroscience / Graduate Training Center of Neuroscience at the University of Tübingen (http://www.neuroschool-tuebingen.de/) The positions are fully funded for 3 years with extension for additional years possible. Applications should include a CV, a brief (up to 500 word) personal statement about research interests and goals after the PhD, and 2 letters of reference. These may be submitted by email to Dr. Totah (nelson.totah(a)tuebingen.mpg.de) Nelson Totah, PhD Research Group Leader Department of Physiology of Cognitive Processes Max Planck Institute for Biological Cybernetics Tuebingen, Germany

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Blue Brain Project: Section Manager for Data & Knowledge Engineering
by Hill Sean 06 May '17

06 May '17

BBP - Section Manager - Data & Knowledge Engineering The EPFL Blue Brain Project (BBP), situated on the Campus Biotech in Geneva, Switzerland, applies advanced neuroinformatics, data analytics, high-performance computing and simulation-based approaches to the challenge of understanding the structure and function of the mammalian brain in health and disease. The BBP plays a leading role in the Human Brain Project, which aims to accelerate our understanding of the human brain, enable advances in defining and diagnosing brain disorders, and develop new brain-like technologies through open science and global collaboration. The Blue Brain has built a neuroinformatics platform for large-scale neuroscience data integration, search and analysis to enable and accelerate the delivery of its scientific roadmap. We are now seeking to fill the following position: Section Manager – Data & Knowledge Engineering Major Duties and responsibilities: • Lead and manage the Neuroscience Data & Knowledge Engineering team • In collaboration with the Head of the Neuroinformatics division and the Section Manager of the Neuroinformatics Software Engineering, define and implement the Data Integration roadmap in accordance to the project objectives • Build strong working relationships and partnerships with data providers and the neuroinformatics platform users in order to lead the efforts of data standardisation in the frame of their implementation in the Neuroinformatic Platform • Coordinate and ensure effective communication with internal and external stakeholders • Participate in operating and maintaining data integration in the Neuroinformatic Platform • Support the coordination of the external projects • Participate in writing and reviewing of scientific reports Experience and preferred skills: • Strong personnel management, organisational skills and sense of diplomacy • Positive attitude and hands on approach • Experience in data management and integration of biological data • Proficiency and proven experience with ontology engineering and semantic technologies (applications to the field of biosciences would be a plus) • Domain knowledge in neuroscience is a plus (understanding different types of neuroscience experimental data and experiment design) • Excellent written and oral communication skills Profile: • PhD or Master in computer science, bioinformatics or equivalent. • At least 3-5 years experience in data management and knowledge engineering • English written and spoken, French would be a plus. What we offer: • An internationally visible and rising project in simulation-based research in neuroscience • A young, dynamic, inter-disciplinary, and international working environment • A modern working environment, based at the Biotech Campus in Geneva Sécheron Start date: as soon as possible ; Activity rate: 100%; Deadline for application : until position is filledDuration of contract: 1 year, renewable, possibility for a CDI after 1 year. Ref: BBP13201 Applicants should submit a cover letter and a detailed CV in PDF format only, with file name “{ Surname} _{PositionApplied} _Cover_letter” and “{ Surname} _{P ositionApplied} _CV” electronically tojobs.bbp(a)epfl.ch . Please use the position title as the “subject” of your email. BBP : 05.05.2017

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Funded PhD in Psychology (New insights into ADHD through behavioural and modelling studies)
by Eirini Mavritsaki 04 May '17

04 May '17

Reminder funded PhD 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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BCBT2017 Summer School. Registrations Open!
by INFO CSNETWORK, Bústia Compartida 04 May '17

04 May '17

Apologies for crossposting! ---------------------------------------------------------- CALL FOR PARTICIPATION ---------------------------------------------------------- *Barcelona Cognition, Brain and Technology Summer School -BCBT2017* University Pompeu Fabra, Barcelona, Spain. 28 August - 8 September 2017 BCBT2017-Eventum UPF <https://eventum.upf.edu/9240/detail/bcbt-2017.html> Join us for the 10th edition of *"Barcelona Cognition, Brain and Technology summer school - BCBT2017 *" be held 28 August-8 September 2017 in Barcelona, Spain. The BCBT summer school is positioned at the interface between biology and future and emerging technologies with an emphasis on the principles underlying brains and their translation to avant-garde technologies. BCBT promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems. The summer school has been part of a series of events organized by the European coordination action Convergent Science Network of Biomimetics and Neurotechnology (*http://csnetwork.eu/ <http://csnetwork.eu/>*). This year the school is supported by the ERC project CDAC <http://specs.upf.edu/projects/2810> that investigates the role of consciousness in adaptive behavior combining empirical, computational and robot-based approach. BCBT is also supported by EPISENSE <https://www.humanbrainproject.eu/sp3>, a subproject of the Human Brain Project <https://www.humanbrainproject.eu/>(HBP) that investigates brain mechanisms of perception and memory. This is the 10th year of BCBT, which has run with great success in previous years thanks to an excellent line-up of outstanding speakers (see bcbt.upf.edu for previous editions of the school). BCBT lectures <https://www.youtube.com/user/ConvergentScienceNw/playlists> are available online with the BCBT *Podcast interviews *with many of the BCBT speakers. BCBT caters to students and researchers involved in projects that are in the ambit of “BIO-ICT convergence”, "Brain Inspired ICT", “Cognitive systems-robotics”, “Cognitive and neural systems”, “Foundations of social cognition”. BCBT will offer up to 30 student slots for the practical workshops, while as many researchers can register to attend the presentations and discussion sessions as they are interested. The atmosphere of the BCBT summer school is informal with the goal to stimulate in-depth discussion. There are 1 or 2 presentations in the morning, with the afternoons reserved for tutorials and projects for student participants and road-mapping workshops or further discussion for senior scientists. For the 2017 edition we plan a *1st week* of the school addressing *Neural basis of Consciousness *while the *2nd week* will include presentations aimed at the investigation of *Evolutionary and Developmental aspects of nervous systems and behavior.* Friday 8 is reserved for the presentation of the student projects to which everybody is invited. *Application deadline: July 24, 2017* For more information on how to apply, please go to BCBT2017-Eventum UPF <https://eventum.upf.edu/9240/detail/bcbt-2017.html> *BCBT is organized by* Paul Verschure, ICREA and University Pompeu Fabra Barcelona, ES, Tony Prescott, Sheffield University, UK Anna Mura, University Pompeu Fabra Barcelona, ES

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Postdoctoral Fellow position at Mclean Hospital/Harvard Medical School
by Wei Tang 04 May '17

04 May '17

An NIH-funded postdoctoral fellow position is available in the Haber laboratory in the Basic Neuroscience Division at McLean Hospital, a Harvard Medical School affiliate. We are a seeking a highly motivated individual with interests in a multidisciplinary approach for understanding network interactions between emotions and cognition. The position includes implementation and development of combining image methods to precise anatomic mapping to: 1) understand networks of prefrontal cortex and basal ganglia that underlie motivation and decision making; 2) use this data to guide and interpret connectivity profiles in the human brain, and link the neurocircuits to functional networks, and 3) determine how abnormal connectivity profiles in obsessive compulsive disorder, addiction, and depression, are related to specific circuits. One goal of the laboratory is to identify specific network dysfunction in diseases and develop novel targets for brain stimulation. The successful applicant will join a vibrant and collaborative laboratory and scientific community at McLean Hospital. (S)he will have full access to the diverse research, financial, and career development opportunities offered through both McLean Hospital and Harvard Medical School. Candidates should have a PhD or MD/PhD in neuroscience or related discipline, with a strong computational background and a particular interest in neural circuits underlying cognitive and emotional networks. Experience in the following areas is preferred. - Circuit mapping - Computer science - Neuroscience - Neuroimaging Interested applicants should send a cover letter, CV, and contact information ((including phone numbers, email addresses) for three reference letters to Suzanne_Haber(a)urmc.rochester.edu. The position is full-time with excellent benefits. Salary will be commensurate with experience. Successful candidate will be proposed for academic appointment as a Research Fellow in the Department of Psychiatry at HMS. Qualified women and minority candidates are encouraged to apply. Review of applications will begin immediately and continue until the position is filled. McLean Hospital, which is an affiliate of Harvard Medical School, is an Equal Opportunity Employer. It is the policy of McLean Hospital to affirmatively provide equal opportunity to all qualified applicants for employment and existing employees without regard to their race, religion, color, national origin, sex, age, ancestry, protected veteran status, disability, sexual orientation, gender orientation or any other basis that would be in violation of any applicable law or regulation.

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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 03 May '17

03 May '17

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 02 May '17

02 May '17

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 02 May '17

02 May '17

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 02 May '17

02 May '17

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 01 May '17

01 May '17

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 01 May '17

01 May '17

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 29 Apr '17

29 Apr '17

*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 28 Apr '17

28 Apr '17

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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