June 2018 - Comp-neuro - lists.cnsorg.org

Postdoc in Brain Network Analysis and Modeling at Vanderbilt University
by Mikail Rubinov 04 Jun '18

04 Jun '18

Dear Colleagues, The Rubinov lab at Vanderbilt University Biomedical Engineering (http://www.rubinovlab.net) analyzes and models brain networks across modalities, species and scales. Our research interests broadly include: 1) Integrative statistical models of big neuroscience networks. 2) Evolutionary principles of brain network organization. 3) Information transfer in neural systems. 4) Neuropsychiatric connectivity phenotypes. We are recruiting a motivated postdoctoral researcher to join our lab. The position will be based at the Department of Biomedical Engineering and will be supervised by Dr. Mika Rubinov. There will be opportunities to develop exciting research ideas at the intersection of systems neuroscience, evolutionary neuroscience, network science and data science, and to collaborate with leading investigators at Vanderbilt University and Janelia Research Campus (Howard Hughes Medical Institute). The successful applicant should be passionate about neuroscience and understanding the brain, have good programming skills, and a strong background in a quantitative discipline, including but not limited to network science, computational neuroscience, computational biology, mathematics, physics, computer science, or electrical engineering. Preference will be given to applicants with a good publication record and with experience in analysis of complex datasets. The applicant must have completed their PhD by the start of this position. The position will be initially for one year, with possibilities for yearly extensions subject to satisfactory annual reviews. The salary will be commensurate with the applicant’s experience and qualifications. Vanderbilt is an elite research university (https://www.usnews.com/best-colleges/vanderbilt-3535) located in Nashville, one of the hottest cities in the US today (http://www.visitmusiccity.com/media/rankings) Applicants are welcome to email Mika Rubinov for more details and information. Please submit the following application materials directly to mika.rubinov(a)vanderbilt.edu 1) A cover statement of the applicant’s fit for this position. 2) Curriculum Vitae. 3) A list of 2-3 key publications. 4) Contact details for 2-3 referees. Review of applications will begin immediately and will continue until the position is filled. https://www.nature.com/naturejobs/science/jobs/645613-postdoctoral-research… Best regards, Mika

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Postdoctoral Position @UPenn in Vision Science & Computational Neuroscience
by Burge, Johannes 04 Jun '18

04 Jun '18

I am looking for a postdoctoral researcher to fill an NIH-funded position on the research team in the Natural Vision Lab at the University of Pennsylvania (http://burgelab.psych.upenn.edu<http://burgelab.psych.upenn.edu/>). My lab works to understand how vision works with natural stimuli. We use databases of natural images, statistical learning tools, ideal observer analysis, and behavioral experiments to gain a precise understanding of the processes that support perception. We have ongoing projects across a range of topics in vision and computational neuroscience, but we tend to focus on tasks and coding problems that are directly or indirectly related to motion and depth perception. My lab is also affiliated with the Computational Neuroscience Initiative at Penn, a community of top researchers working on an array of problems in sensation, perception, and cognition. Strong computational and programming skills are necessary, as well as experience designing and running psychophysical experiments. Familiarity with Matlab and Psychtoolbox is required. A solid background in computer graphics and knowledge of C/C++ and object oriented programming is desirable. The lab has a high refresh-rate VPixx ProPixx projector, a haploscope driven by two high-resolution VPixx ViewPixx monitors, and a large suite of custom code for statistical learning and for the analysis of psychometric data. Applicants must have finished their Ph.D. in neuroscience, vision science, engineering, computer science, or related fields and have a demonstrated record of research productivity. The position is available before the end of Summer 2018. The precise start date is flexible. Applicants should send a brief statement of interest, CV, and the names of three references to Johannes Burge (jburge(a)sas.upenn.edu<mailto:jburge@sas.upenn.edu>). Letters will be requested if your candidacy is being seriously considered. Applications will be assessed as they arrive and the position will remain open until filled. Salary will be based on NIH post-doctoral rates and commensurate with experience. ======================== Johannes Burge, PhD Assistant Professor Department of Psychology Neuroscience Graduate Group University of Pennsylvania http://burgelab.psych.upenn.edu jburge(a)sas.upenn.edu (215) 573 6528

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IBRO-Simons Computational Neuroscience Imbizo 2019: call for Teaching Assistants
by ucgtada＠ucl.ac.uk 04 Jun '18

04 Jun '18

The IBRO-Simons Computational Neuroscience Imbizo (isiCNI) is a computational neurosciencesummer school held in Cape Town, South Africa. We are looking for several Post-Doc (oradvanced PhD) researchers to join our team as Teaching Assistants (TAs) for the isiCNI2019 in January 2019. *About the Imbizo:* The school hosts 30 students for an amazing 3 weeks of lectures, tutorials, projects and parties! All this takes place right on Muizenberg beach, between the mountain and the ocean. It's a spectacular location. The dates for the isiCNI2019 are*January 6th - 27th 2019.* The Imbizo is a special experience, with students being totally immersed in academic, social, touristic and cultural activities for the full 3 weeks. This has resulted in student and TA groups from previous schools becoming very close, personally and scientifically. This is fantastic, as a major goal of the isiCNI project is to help young African researchers grow their academic peer and friend group. *About being a TA:* EachTAruns one afternoon tutorial in the first week of the school, which they design themselves. Each TA will teach a different topic, which the TA's choose among themselves, to try and provide students with a broad exposure to problems and methods in comp neuro. EachTAis also assigned 5 students to supervise for project work during the second 2 weeks of the school. TAs are integral in helping run the school. In addition to academic support, they foster good social interaction and academic discussions between students and help 'shy' students meet faculty. They also act as 'social' care-takers, helping to notice and support students who may be feeling ill, not fitting in socially, or generally having difficulties. To fulfil these roles, TAs need to be at all school meals and activities. We will also need a little help processing studentapplications*during August*. *What we provide:* All this is obviously at no cost to TAs. We cover a direct as possible economy class ticket to Cape Town, as well as all board and lodging during the school. In addition, TAs will receive a cash budget for 'hosting purposes' during the school (e.g. buying some beers/ice-creams for students, train tickets, etc.) *I'm interested, how do I apply:* If you think you would like to join us for this amazing experience, please send us a brief CV (2 or 3 pages is fine) toisicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com>. Please include (as a cover letter or in your email) a short motivational statement for why you would be a good fit. The_*DEADLINE is JUNE 18th 2018*_ We hope to hear from you soon! Let us know if you have any questions. Thanks and regards Dr Peter E. Latham, Dr Tim Vogels, Dr Joseph Raimondo and Alex Antrobus IBRO-Simons Computational Neuroscience Imbizo Committee 2019 #isicni2019 Twitter: @isicni

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FENS Satellite Symposium: From Scanner to Bedside
by Marcus Kaiser 02 Jun '18

02 Jun '18

Dear colleagues, I would like to draw your attention to our FENS Satellite Symposium "From Scanner to Bedside - What do connectome and gene expression say about brain diseases?" chaired by Prof. Marcus Kaiser (Newcastle University) and Dr Markus Butz-Ostendorf (Biomax): https://www.biomax.com/symposiums/from-scanner-to-bedside/ In this FENS satellite symposium on Friday 6 July, research with a high potential for applications in neurology and psychiatry is presented. We want to bring together scientists with clinicians from all disciplines dealing with brain diseases and to provide a forum for discussion and exchange what steps are needed to bring novel techniques into clinical applications. Keynote Lectures are given by PROF. DR. ANDREAS MEYER-LINDENBERG (Zentralinstitut für seelische Gesundheit, Mannheim, Germany) PROF. DR. ED BULLMORE (Cambridge University, Cambridge, UK) PROF. DR. DR. ELISABETH BINDER (Max-Planck Institute for Psychiatry, Munich, Germany) For the full program see https://www.biomax.com/symposiums/from-scanner-to-bedside/ Participation is free but please register at https://ssl.biomax.de/Symposium/register.html Looking forward to welcoming you in Berlin! Best regards from the organizers, Marcus Kaiser & Markus Butz-Ostendorf -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab<https://twitter.com/ConnectomeLab> Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Urban Sciences Building Newcastle University 1 Science Square Science Central Newcastle upon Tyne NE4 5TG UK Lab website: http://www.dynamic-connectome.org<http://www.dynamic-connectome.org/>/ Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ Neuroinformatics one-year master programme: http://research.ncl.ac.uk/neuroinformatics/study

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Job Vacancy Announcement - Health Scientist Administrator (Program Officer) Computational Neuroscience and Electrophysiology Program
by Michele Ferrante 01 Jun '18

01 Jun '18

*Health Scientist Administrator (Program Officer)Computational Neuroscience and Electrophysiology ProgramNational Institute of Mental HealthDepartment of Health and Human Services* The National Institute of Mental Health (NIMH) Division of Neuroscience and Basic Behavioral Research announces openings for Health Scientist Administrators (Program Officer) to guide and manage a grants program supporting basic research in computational neuroscience and electrophysiology. The Program Officer will lead an extramurally-funded and innovative program employing computational and mathematical approaches to modeling dynamical neuronal processes underlying brain signaling from molecules and cells, as well as complex behaviors (e.g., affect, cognition, executive function, and social behavior). Topic areas within this program include empirical and computational studies (theory- and data-driven models), that combine mathematical and computational tools with neurophysiological, neuroanatomical, or neurochemical techniques to identify the biological mechanisms underlying single cell and circuit dynamics. The program supports studies to develop novel analytical and statistical approaches to high dimensional data sets to identify patterns and relationships among mental health relevant variables. Hypothesis-driven studies seeking to integrate diverse levels of analysis, casual manipulations, and theoretical modeling of neural dynamics are of special interest as are studies developing novel computational algorithms and methods for acquisition, analysis and interpretation of neural data in model systems. This position provides an opportunity to impact priorities, develop new research initiatives and to contribute to the advancement of a national program of computational neuroscience research spanning molecular and cellular electrophysiological analyses. Individuals are encouraged to apply who have research experience using a broad range of computational methods and electrophysiology. General responsibilities will include administering and managing an extramural portfolio of research grants, interacting with researchers and program officers for related programs at NIMH, NIH, and other funding agencies, and developing new research initiatives. This position requires working both independently and collaboratively. Strong organizational, oral, written and communication skills are also required. Salary will be commensurate with the experience of the candidate. A full package of federal Civil Service benefits is available, including: retirement, health and life insurance, long term care insurance, leave, and a Thrift Savings Plan (401K equivalent). The successful candidate is subject to a background investigation and public financial disclosure requirements. For medical and scientific specialties, qualification requirements, evaluation criteria, and application instructions, please view the vacancy announcement at https://jobs.nih.gov/globalrecruitment/. Interested candidates should send a letter of interest, including a curriculum vitae to *NIMHsearch(a)mail.nih.gov* <NIMHsearch(a)mail.nih.gov>*.* The NIH encourages the application and nomination of qualified women, minorities, and individuals with disabilities. HHS and NIH are Equal Opportunity Employers. https://www.nimh.nih.gov/about/careers/job-vacancy-announcement-health-scie… https://www.nimh.nih.gov/about/careers/dnbbs_job_announcement_hsa_computati… Please feel free to reach out (ferrantem(a)nih.gov) for guidance. Regards, Michele …………………………. Michele Ferrante, Ph.D. (ferrantem(a)nih.gov) Program Director: Computational Neuroscience & Computational Psychiatry National Institute of Mental Health 301-435-6782 <(301)%20435-6782>

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CFP: Workshop on Crossmodal Learning for Intelligent Robotics in conjunction with IEEE/RSJ IROS 2018
by Pablo Barros 01 Jun '18

01 Jun '18

**Apologies for cross-posting** 1st CALL FOR PAPERS for the international workshop: * Crossmodal Learning for Intelligent Robotics * in conjunction with IEEE/RSJ IROS 2018 * Madrid, Spain - Friday 5 October 2018 * * Website: http://www.informatik.uni-hamburg.de/wtm/WorkshopCLIR18/index.php * I. Aim and Scope The ability to efficiently process crossmodal information is a key feature of the human brain that provides a robust perceptual experience and behavioural responses. Consequently, the processing and integration of multisensory information streams such as vision, audio, haptics and proprioception play a crucial role in the development of autonomous agents and cognitive robots, yielding an efficient interaction with the environment also under conditions of sensory uncertainty. Multisensory representations have been shown to improve performance in the research areas of human-robot interaction and sensory-driven motor behaviour. The perception, integration, and segregation of multisensory cues improve the capability to physically interact with objects and persons with higher levels of autonomy. However, the multisensory input must be represented and integrated in an appropriate way so that they result in a reliable perceptual experience aimed to trigger adequate behavioural responses. The interplay of multisensory representations can be used to solve stimulus-driven conflicts for executive control. Embodied agents can develop complex sensorimotor behaviour through the interaction with a crossmodal environment, leading to the development and evaluation of scenarios that better reflect the challenges faced by operating robots in the real world. This half-day workshop focuses on presenting and discussing new findings, theories, systems, and trends in crossmodal learning applied to neurocognitive robotics. The workshop will feature a list of invited speakers with outstanding expertise in crossmodal learning. II. Target Audience This workshop is open to doctoral students and senior researchers working in computer and cognitive science, psychology, neuroscience and related areas with the focus on crossmodal learning. III. Confirmed Speakers 1. * Yulia Sandamirskaya * Institute of Neuroinformatics (INI), University and ETH Zurich 2. * Angelo Cangelosi * Plymouth University and University of Manchester, UK 3. * Stefan Wermter * Hamburg Universit, Germany IV. Submission 1. Topics of interest: - New methods and applications for crossmodal processing (e.g., integrating vision, audio, haptics, proprioception) - Machine learning and neural networks for multisensory robot perception - Computational models of crossmodal attention and perception - Bio-inspired approaches for crossmodal learning - Crossmodal conflict resolution and executive control - Sensorimotor learning for autonomous agents and robots - Crossmodal learning for embodied and cognitive robots 2. For paper submission, use the following IEEE template: <http://ras.papercept.net/conferences/support/support.php>* 3. Submitted papers should be limited to *2 pages (extended abstract)* or *4 pages (short paper)*. 4. Send your pdf file to barros(a)informatik.uni-hamburg.de AND jirak(a)informatik.uni-hamburg.de Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Contributors to the workshop will be invited to submit extended versions of the manuscripts to a special issue (to be arranged). Submissions will be peer reviewed consistent with the journal practices. V. Important Dates * Paper submission deadline: August 15, 2018 * Notification of acceptance: September 5, 2018 * Camera-ready version: September 15, 2018 * Workshop: Friday 5 October 2018 VI. Organizers * German I. Parisi * Hamburg University, Germany * Pablo Barros * Hamburg University, Germany * Doreen Jirak * Hamburg University, Germany * Jun Tani * Okinawa Institute of Science and Technology, Japan * Yoonsuck Choe * Samsung Research & Texas A&M University, TX, USA -- Dr.rer.nat. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html https://www.inf.uni-hamburg.de/en/inst/ab/wtm/

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