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Abstract submission and registration open for Integrated Systems Neuroscience 2017 meeting (September 7-8, Manchester, UK)

by Mark Humphries

We are excited to announce that registration and abstract submission is open for the second Integrated Systems Neuroscience meeting (7-8th September 2017, Manchester, UK) For registration and abstract submission information, please visit: https://www.bmh.manchester.ac.uk/conferences-meetings/isn2017/ Deadlines: Abstract submission: June 30th 2017 (Decision: July 28th) Registration: August 11th Meeting information: The goal of this meeting is to present the state-of-the-art in integrated systems and computational approaches to key neural circuits. A poster session with wine reception will be held on the first evening. Confirmed speakers: Rune Berg (Copenhagen University) Tiago Branco (Sainsbury Wellcome Centre for Neural Circuits) Neil Burgess (Institute of Cognitive Neuroscience, UCL) Megan Carey (Champalimaud Institute, Lisbon) Claudia Clopath (Imperial College, London) Kate Jeffery (UCL) Christian Machens (Champalimaud Institute, Lisbon) Jonathan Pillow (Princeton) Simon Peron (New York University) Manuel Zimmer (IMP, Austria) Organisers: Mark Humphries & Rasmus Petersen (University of Manchester) Sponsors: we gratefully acknowledge the support of the Medical Research Council _____________________________________________________________________________ Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health http://www.systemsneurophysiologylab.manchester.ac.uk/

May 16, 2017

One PhD Position in Computational Neuroscience at the University of Bremen, Germany

by David Rotermund

The Computational Neuroscience lab at the University of Bremen headed by Dr. Udo Ernst offers a PhD position in the field of Neural Network Modelling and Data Analysis. Successful candidates will join an international research group dealing with Neural Dynamics, Criticality in Neural Systems, Information Processing and Feature Integration in the Visual System (www.bernstein.uni-bremen.de) The project in the SPP 1665 "Resolving and manipulating neuronal networks in the mammalian brain - from correlative to causal analysis" funded by the DFG is entitled: "Interareal phase coherence as a mechanism for attention-dependent neuronal signal routing" The visual system selectively processes information in dependence on the current behavioral task. However, the neural mechanisms underlying flexible computation in the brain are presently not known. In our troica project, engineers, neurobiologists and theoreticians collaborate to investigate this important topic for understanding brain function. Your task will be to build and to simulate selective information processing in neural models of the visual system, and to compare your results to data from electrophysiological recordings and intracortical microstimulation performed in rats and macaque monkeys. You will work in a highly interdisciplinary, exciting research environment which is embedded into the "Schwerpunktsprogramm 1665" funding twelve similar projects throughout Germany (http://www.spp1665.de) The position is funded with a salary comparable to a 65 % TVL13 position and comes with support for 3 years and direct supervision by the principal investigator. Ideal candidates have a MSc in Neuroscience, Physics, or Computer Sciences. They must have a strong background in physics and/or computational neuroscience and solid programming experience, ideally in Matlab or Python. Above all, they must have a strong motivation, a sense for responsibility, interest for detailed analysis, and a distinct desire to learn. Fluency in English is required (both written and spoken). If you are interested, please send your complete application at your earliest convenience by e-mail (see detailed instructions below) to ajanssen(a)neuro.uni-bremen.de. Severely disabled applicants and women with essentially identical and personal suitability will be preferentially selected. === Detailed instructions for applicants === Your application must comprise: == Motivation letter == Your 1-2 page essay should reply the following questions: * What is your background? In which fields have you worked before and how do you think this can be useful for the present job? * What attracts you to the field of neuroscience? * Which problem(s) in neuroscience are you most interested in? * Which kind of person are you (e.g. creative, analytic, communicative, pragmatic, etc.) and how do you approach a research problem? * What are your plans for your future career? == Curriculum Vitae == Send a classical tabular CV with your contact details, your date-of-birth, a current photograph, and all stages of education and employment. == List of skills, awards, publications == List your skills, especially proficiency in languages (including the level of proficiency), that you think might be useful for the job. Also list awards you might have got and peer-reviewed papers, in case there are some. == Contact details of two academic references == One of the references should be your MSc advisor. Please contact the references prior to listing their names so that they are not surprised if they get contacted. Your application can be in English or German, whatever language you are more familiar with. Please send your application to ajanssen(a)neuro.uni-bremen.de! All documents must be in PDF format and must not be compressed. Combine all documents to a single PDF file or at least name the separate files appropriately. If we find your application interesting, we will let you know within three to four weeks and potentially ask for more documents.

May 16, 2017

Postdoctoral position (Cogn Neuro) in Milwaukee, WI

by Adam S Greenberg

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

May 15, 2017

Fully funded PhD position on computational methods for brain connectivity analysis

by Diego Sona

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>

May 11, 2017

Deadline extended to 21st May: Joint OCCAM / socSMC Workshop on "Mechanisms and models of social interaction"

by Peter König

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/

May 11, 2017

Call for Extended Abstracts: ICML2017 Workshop on Computational Biology

by Sandhya Prabhakaran

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)

May 10, 2017

Vanderbilt University - Multimodal Imaging Data Analyst Position

by Vago, David R

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/>

May 10, 2017

Summer school in Neurogeometry

by Sarti Alessandro

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

May 10, 2017

full-time job openings at HRL Laboratories in Malibu, CA

by Pilly, Praveen K

(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

May 10, 2017

Post-doctoral Fellowship in modelling brain networks and dynamics

by Alex Fornito

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

May 10, 2017