- Comp-neuro - lists.cnsorg.org

postdoc positions with Peter Dayan

by Peter Dayan

From: Peter Dayan I recently moved my lab to the Max Planck Institute for Biological Cybernetics in Tuebingen. I am therefore recruiting one or more postdocs working in the areas of neural reinforcement learning and computational psychiatry. I am seeking postdocs working in neuromodulation, meta-control, neuroimaging and behavioural experiments and analysis, and all areas of dysfunctional decision-making. I am going to be attending COSYNE 2019 - so would be very happy to meet there. The aim of the MPI for Biological Cybernetics as a whole is to understand information processing in the brains of humans and animals. We use experimental, theoretical and computational methods to elucidate the characteristics and implementations of the cascades of plastic and recurrent interactions that transform sensory data into perceptions, memories, appropriate choices of actions, and motor output. We are richly multidisciplinary, have excellent facilities, and are building close links with neighbouring Max Planck Institutes and the University of Tuebingen that cover systems neuroscience, machine learning, and beyond. The working language of the Institute is English. Remuneration will depend on experience. The position will be for two years. Applications should include a CV, a list of publications, summaries of scientific achievements and research plans, and the names and contact details of three referees. Applications should be sent in PDF format to: kyb-application(a)tuebingen.mpg.de My lab, the Institute and the Max Planck Society strive for gender and diversity equality. We welcome applications from people from all backgrounds. Informal inquiries can be addressed to Peter Dayan: kyb-inquiry(a)tuebingen.mpg.de

Feb. 15, 2019

Postdoc position – studying the effect of cellular mechanisms on cortical circuit activity using computational modelling, at Hay lab (KCNI and UofT)

by Etay Hay

Postdoc position – studying the effect of cellular mechanisms on cortical circuit activity using computational modelling, at Hay lab (KCNI and UofT) Hay lab is currently accepting applications from postdocs interested in using computational models to study the effect of cellular mechanisms on cortical circuit activity, in health and disease. We will simulate biophysical models of somatosensory cortical circuits, constrained with recordings from rodents and humans, to study the effect of synaptic connectivity and dendritic ion channels on cortical circuit activity. In turn, we will characterize the predicted signatures of the effects in measurable signals of cortical circuit activity, which will include the spatiotemporal propagation of neuronal spiking activity, LFP in different cortical layers, and EEG. Applicants should have experience in simulating neuronal networks (conductance-based or integrate-and-fire), and using NEURON and Matlab. Our lab is located at the Krembil Centre for Neuroinformatics (KCNI), which is part of the Centre for Addiction and Mental Health (CAMH). We are affiliated with the University of Toronto, and are situated at the heart of the downtown campus. Neuroscience research at KCNI offers a unique environment that is both specialized and collaborative, spanning computational genomics, brain circuits, whole-brain networks, and behavior. Interested applicants should send their CV to Dr. Etay Hay, at: etay.hay(a)camh.ca Etay Hay PhD Scientist, Krembil Centre for Neuroinformatics, CAMH Assistant Professor, Department of Psychiatry, University of Toronto www.haybrainlab.com CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

Feb. 15, 2019

position: machine learning research scientist at NIMH

by Francisco Pereira

The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the lead federal agency for research on mental disorders, and part of the the National Institutes of Health (NIH). Our mission is to help NIMH scientists use machine learning methods to address a diverse set of research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We also develop new machine learning methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), and in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. We have excellent computational resources, both of our own (tens of GPUs for deep learning) and shared within the NIH (a top-100 supercomputer with hundreds of thousands of CPUs, and hundreds of GPUs). You can find more about our work and publications at https://cmn.nimh.nih.gov/mlt.html. This is an ideal position for someone who wants to establish a research career in methods development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large/unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests. We are seeking candidates with practical machine learning experience (e.g. training of classification and regression models, statistical testing of results, interpretation and visualization of key aspects of models). Beyond this, the ideal candidate would have knowledge of optimization and statistics, insofar as they bear on machine learning methods development. Experience working with neuroimaging data (any MRI modality, as well as MEG/EEG) will be considered very favorably, but is not required. Finally, you should have demonstrable experience coding in languages currently used in data-intensive, scientific computing such as Python, MATLAB or R. If you would like to be considered for this position, please send francisco.pereira(a)nih.gov a CV, with your email as cover letter; if you have a research statement, please feel free to send that as well. Other inquiries are also welcome. Thank you for your interest! ReplyForward <https://drive.google.com/u/0/settings/storage?hl=en> <https://www.google.com/intl/en/policies/terms/> <https://www.google.com/intl/en/policies/privacy/> <https://www.google.com/gmail/about/policy/>

Feb. 15, 2019

PhD, Master and Postdoc positions in theoretical neuroscience at the MPI for Brain Research

by Tatjana Tchumatchenko

PhD, Master and Postdoc positions in theoretical neuroscience at the Max Planck Institute for Brain Research We are looking for undergraduate students interested in writing a Master or PhD thesis and also have open positions for Postdocs to join our group "Theory of neural dynamics" at the Max Planck Institute for Brain Research lead by Dr. Tatjana Tchumatchenko. Our group studies how networks of neurons encode and decode sensory stimuli and how these functions are related to computations that underlie cognitive functions and behavior. We develop models to address linear and non-linear properties of neuronal networks and have ongoing collaborations with experimental labs where we analyze in vitro as well as in vivo data and develop appropriate models to explain the observed phenomena. Successful applicants should have a strong background in a quantitative field such as physics, mathematics or computer science and should be interested in an interdisciplinary exchange with other disciplines such as biology or medicine. Life science majors interested in quantitative modeling work are also encouraged to apply, particularly if they would like to combine experiments and theory in their Master or Ph.D. thesis work. We are looking for candidates with strong English skills and prior programming experience. In order to make teamwork in our group enjoyable and fun, the ideal candidate should have a strong work ethic and have demonstrated consistent self-motivation skills. Female students are particularly encouraged to apply. Prospective students should apply by sending an email to theoryneuraldynamics(a)gmail.com which includes * a letter of motivation, * CV, * and a copy of the current academic transcripts To make your motivation letter easier to write for you and more informative for us, please check the list of questions to be answered in your motivation letter at http://www.tchumatchenko.de/Opportunities.html Looking forward to your applications! Tatjana Tchumatchenko

Feb. 15, 2019

Post-doctoral position: Applying machine learning and Bayesian modeling to functional connectivity

by Joshua Hartshorne

Profs. Stefano Anzellotti and Joshua Hartshorne (Psychology Department, Boston College) are seeking a post-doctoral fellow for a collaborative project applying machine learning and nonparametric models to functional connectivity data in order to better understand individual variability in Autism Spectrum Disorder. This position is funded for two years and may be extended, pending additional funding. Candidates can learn more about the PIs and labs at sccnlab.bc.edu and l3atbc.org. Qualifications include either experience with functional neuroimaging (especially functional connectivity) or computational modeling. Experience with both is a plus. To apply, submit a CV, contact information for 2-3 references, and a cover letter highlighting relevant research experiences and interests directly to: jkhartshorne+sfari(a)gmail.com Preferred start date is between April 1 and Sep. 1. Boston College is an Equal Opportunity Employer. Candidates from backgrounds underrepresented in psychology/neuroscience are particularly encouraged to apply. Review of applications is rolling and will continue until the position is filled.

Feb. 14, 2019

Call for abstracts, AMAM 2019, Adaptive motion in animals and machines, Aug 20-23 2019, EPFL, Lausanne, Switzerland

by Auke Ijspeert

AMAM 2019, Adaptive Motion in Animals and Machines, Aug 20-23 2019, EPFL, Lausanne, Switzerland https://amam2019.epfl.ch/ Call for abstracts, deadline March 8th, 2019 Investigating how animals and humans excel at adaptive movements can help engineers to improve the adaptive capabilities of robots. In return, robots can serve as scientific tools to explore the basic principles of biological systems, in particular the neuromechanical mechanisms underlying their fascinating motor abilities. AMAM 2019 is the 9th international symposium dedicated to stimulate fruitful interactions among biologists and engineers interested in adaptive motion. It aims at bringing together researchers in robotics, biomechanics, neuroscience, sports science, and other fields related to motor behavior in biological and artificial systems. Previous symposia were held in Montreal, Canada (2000); Kyoto, Japan (2003); Ilmenau, Germany (2005); Cleveland, USA (2008); Awaji, Japan (2011); Darmstadt, Germany (2013); Cambridge, USA (2015); and Sapporo, Japan (2017). Two-page abstract contributions are invited from all areas pertaining to adaptive motion in animals and machines. Accepted abstracts will be presented in poster sessions and short high-light presentations (3 slides, 2 min). Plenty of time will be dedicated for fruitful discussions among participants. Invited talks will be presented in oral sessions in a single track (see the exciting list of speakers below). We also encourage participants to contribute hardware demonstrations, as part of the ‘Robot Zoo’@AMAM2019. See https://amam2019.epfl.ch/ for instructions. Important dates: * March 8th, 2019 Deadline of extended abstracts submission * April 12th, 2019 Notification of acceptance for extended abstracts * May 31st, 2019 Deadline of submission for Robot Zoo (Robot Demos) * August 20-23, 2019 Conference Sponsors: Swiss National Science Foundation and Maxon https://www.maxonmotor.com Plenary speakers: * Grégoire Courtine, EPFL, Switzerland * Monica Daley, Royal Veterinary College, UK * Dario Floreano, EPFL, Switzerland * Radhika Nagpal, Harvard University, USA * Lena Ting, Emory University & Georgia Institute of Technology, USA * Herman van der Kooij, University of Twente & Delft University of Technology, Netherlands Invited speakers: * Shinya Aoi, Kyoto University, Japan * David Franklin, Technische Universität München, Germany * John Hutchinson, Royal Veterinary College, UK * Tetsuya Iwasaki, University of California, Los Angeles, USA * Katsushi Kagaya, Kyoto University, Japan * Sangbae Kim, MIT, USA * Megan Leftwich, The George Washington University, USA * David Lentink, Stanford University, USA * Charlotte Le Mouel, Max Planck Institute for Intelligent Systems, Germany * Poramate Manoonpong, University of Southern Denmark, Denmark * Kamilo Melo, EPFL, Switzerland * Katja Mombaur, Heidelberg University, Germany * Beth Mortimer, University of Oxford, UK * Ulrike Müller, California State University, Fresno, USA * Jamie Paik, EPFL, Switzerland * Pavan Ramdya, EPFL, Switzerland * Chris Richards, Royal Veterinary College, UK * Nidhi Seethapathi, University of Pennsylvania, USA * Simon Sponberg, Georgia Institute of Technology, USA * Emily Standen, University of Ottawa, Canada * Dagmar Sternad, Northeastern University, USA * Barbara Webb, University of Edinburgh, UK * Kotaro Yasui, Tohoku University, Japan Program Committee: * Hitoshi Aonuma, Hokkaido University, Japan * Jordan Boyle, Leeds University, UK * Monica Daley, Royal Veterinary College, UK * Koh Hosoda, Osaka University, Japan * Fumiya Iida, Cambridge, UK * Auke Ijspeert, EPFL, Lausanne, Switzerland * Akio Ishiguro, Tohoku University, Japan * Masato Ishikawa, Osaka University, Japan * Takeshi Kano, Tohoku University, Japan * Sangbae Kim, MIT, USA * Jun Nishii, Yamaguchi University, Japan * Dai Owaki, Tohoku University, Japan * Andre Seyfarth, TU Darmstadt, Germany * Emily Standen, University of Ottawa, Canada * Dagmar Sternad, Northeastern University, USA * Barry Trimmer, Tufts University, USA * Eric Tytell, Tufts University, USA * Hartmut Witte, TU Ilmenau, Germany Local organization committee: * Jonathan Arreguit * Alessandro Crespi * Florin Dzeladini * Peter Eckert * Sylvie Fiaux * Anne Koelewijn * Mehmet Mutlu * Laura Páez * Amy Wu -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

Feb. 13, 2019

Cognitive Modeling Spring School: Early Registration Deadline ends this Friday

by Jelmer Borst

Fourth Groningen Spring School on Cognitive Modeling – ACT-R, Nengo, PRIMs, & Error-driven learning– Date: April 8-12, 2019 Location: Groningen, the Netherlands Fee: € 250 (late fee after February 15 will be € 300) More information and registration: www.cognitive-modeling.com/springschool <http://www.cognitive-modeling.com/springschool> The deadline for our Spring School ends this Friday. So if you want to profit from the early fee, be fast. The Spring School will cover four paradigms: ACT-R, Nengo, PRIMs, and error-driven learning. More information about the paradigms can be found below and on our website. Please let us know if you have any questions. Best regards, the Spring School team Please feel free to forward the information to anyone who might be interested in the Spring School. ______________ Error-driven learning Teachers: Jacolien van Rij and Dorothée Hoppe (University of Groningen) Error-driven learning (also called discrimination learning) allows to simulate the time course of learning. It is based on the Rescorla-Wagner model (Rescorla & Wagner, 1972) for animal cognition, which assumes that learning is driven by expectation error, instead of behaviorist association (Rescorla, 1988). The equations formulated by Rescorla and Wagner have been used to investigate different aspects of cognition, including language acquisition (e.g., Hsu, Chater, and Vitányi, 2011; St. Clair, Monaghan, and Ramscar, 2009), second language learning (Ellis, 2006), and reading of complex words (Baayen et al, 2011). Although error-driven learning can be applied for all domains in cognitive science, in this course we will focus on how it could be used for modeling language processing and language learning. ACT-R Teachers: Jelmer Borst & Katja Mehlhorn (University of Groningen) Website: http://act-r.psy.cmu.edu <http://act-r.psy.cmu.edu/>. ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI. Nengo Teacher: Terry Stewart (University of Waterloo) Website: http://www.nengo.ca <http://www.nengo.ca/> Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data. PRIMs Teacher: Niels Taatgen (University of Groningen) Website: http://www.ai.rug.nl/~niels/actransfer.html <http://www.ai.rug.nl/~niels/actransfer.html> How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction.

Feb. 13, 2019

Neural Circuits Workshop, June 3-5, 2019, Austin Texas

by Terry Sejnowski

*CONNECTING NEURONAL CIRCUITS TO SUBCELLULAR RESOURCES THAT INFLUENCE SYNAPTIC WEIGHT* Organizers: Kristen Harris, James Carson, Terry Sejnowski Location:Texas Advanced Computing Center University of Texas at Austin When: June 3-5, 2019 Workshop: Presentations and hands-on demonstrations. June 3 – 6:00 pm Thomas Reese, Keynote address and Dinner June 4 – 8:30 am – 5:00 pm workshop 6:30 group dinner June 5 – 8:30 am – 3:00 pm workshop Topics: •Next generation electron microscopy. •Alignment and segmentation tools. •Proofreading and reconstruction tools. •Quantitative analysis. •3DEM discovery environments. •Other! Presenters chosen from applications: /Title,Abstract, Indicate tool you would demonstrate/use./ /Author Names and Affiliations, and Contact information./ /Some Competitive Travel Grants Available – describe need./ Submit Applications and requests to: //Anna-Maria Escherich amescherich(a)austin.utexas.edu <mailto:amescherich@austin.utexas.edu>

Feb. 12, 2019

Meeting announcement: Neural Coding, Computation and Dynamics

by Peter Latham

Neural Coding, Computation and Dynamics (NCCD) September 22 - 25, 2019 Capbreton, France https://nccd2019.sciencesconf.org NCCD19 is the fourth in a series of meetings focusing on topics in theoretical and experimental neuroscience. As with previous workshops, our goal is to foster the strong interactions we believe are so important for this field. So the meeting will be small (~70 people). About half the talks will be invited and half contributed, and there will be poster sessions on two of the nights. Time for informal discussion will be emphasized during breaks and at mealtimes - with lunch and dinner at the conference venue included in the cost of registration. Venue: Casino de Capbreton, Capbreton, France. https://www.casino-capbreton.com/ translation to English: https://translate.google.com/translate?hl=en&sl=fr&u=https://www.casino-cap… Important dates: May 20: abstract submission deadline June 3: early registration deadline Confirmed speakers: Athena Akrami (UCL) Mitya Chklovskii (Flatiron Institute NYU) Marlene Cohen (Pittsburgh) Sandeep Robert Datta (Harvard) David Kleinfeld (UCSD) Peter Latham (UCL) Gilles Laurent (Max Planck Frankfurt) Stephanie Palmer (Chicago) Alex Pouget (Geneva) Daniela Vallentin (Berlin) Organizers: Andrea Hasenstaub (UCSF) Srdjan Ostojic (ENS Paris) Peter Latham (UCL) Previous meetings: http://www.gatsby.ucl.ac.uk/nccd/

Feb. 12, 2019

[comp-neuro] PhD position(s) in Deep Learning for VR avatars in sport training and motor rehabilitation

by Dr Cristian Axenie

Dear colleagues, We are now accepting applications for passionate students willing to pursue an interdisciplinary PhD within the newly established AUDI Konfuzius-Institut Ingolstadt Lab, a joint technology and research initiative supported by Audi, Technical University of Applied Sciences Ingolstadt and the City of Ingolstadt, Germany. https://audi-konfuzius-institut-ingolstadt.de/forschung/akii-microlab/micro… Our focus is to explore the application of AI, ML, and especially Deep Learning techniques, to leverage Virtual Reality avatar reconstruction for applications ranging from performance sports training to motor rehabilitation. If you have interest in cutting edge research at the border of AI, Machine Learning, Computer Graphics and VR then let us know. To get a feeling of the type of research we're conducting check VIRTOOAIR: https://audi-konfuzius-institut-ingolstadt.de/23132/neural-network-predicti… We seek highly motivated candidates with strong programming skills, analytical skills and creativity. A degree in electrical engineering or computer science (or equivalent) with focus on AI and ML is a must. Knowledge and expertise in VR and computer graphics are a plus. For applying, please send your CV and motivation letter to cristian.axenie(a)audi-konfuzius-institut-ingolstadt.de Thank you! --- Dr. Cristian Axenie Head of AKII Microlab PI in Artificial Intelligence and Machine Learning +49 171 105 4217 cristian.axenie(a)audi-konfuzius-institut-ingolstadt.de Esplanade 10, D-85049 Ingolstadt Germany

Feb. 12, 2019

Call for Participation: 100th Meeting of the Pacific Division of AAAS in Ashland Oregon June 18-22, 2019

by James Bower

Hello all, Back in the business of meeting organization :-). - I would like to specifically draw your attention to the request for presentations related to: “the expanding role of computational modeling in basic science”. As you can see, this is a highly interdisciplinary meeting providing participants the opportunity to explore issues of science, public policy, culture and even art very broadly. Participation is not limited to those in the western United States, but Ashland is easy to get to from the major west coast cities, and I would love to have representation from the comp neuroscience community. The meeting is especially tailored to student participation, graduate and undergraduate. Very best regards and I hope to see some of you in Ashland this June. Jim Bower > > >> >> <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebba9fd5941f10303b3e64b3…> >> 100th Annual Meeting >> Southern Oregon University >> Ashland, Oregon >> June 18 - 21, 2019 >> associations.sou.edu/aaaspd <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb35fa3307c2365cfd32592…> >> The 2019 meeting of the Pacific Division of AAAS <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb35fa3307c2365cfd32592…> will be held on the campus of Southern Oregon University, <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbe1ca7c601a6cf6a3cc111…> Ashland, Oregon, 18 – 21 June 2019. We are pleased to announce that the Northwest and Southwest Regions of Sigma Xi, the Scientific Research Honor Society, will once again join us for this meeting. Membership in AAAS or its affiliated societies is not required to participate in or present research at this meeting. >> Ashland, Oregon <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb88fe51311f2b98d869641…> and the Rogue River Valley <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb67c13f065e227a295101a…> are unique locations in Southern Oregon with wonderful opportunities to enjoy the natural world, including world famous Crater Lake <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb872145c62caa032d99fb8…>, as well as unique cultural opportunities, like the Oregon Shakespeare Festival <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbf94bd114130bbd88997a4…>, and many gastronomic <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbc35c26eda0f7b3db07e81…> and horticultural riches <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb7407ac3a3fc031eb695ea…>. A wonderful place to bring your family. >> All scientists, including graduate and undergraduate students, citizen scientists, college and university faculty and staff, and industry scientists, are invited to present their research results at the meeting, either orally or as posters. Persons paying the registration fee may attend all scientific sessions as well as participate in many other activities. Field trips require advance registration and payment of additional fees. >> In This Issue >> • Special Meeting Themes <x-msg://10/#A> >> • Common Topics for the Local Community <x-msg://10/#B> >> • What are Your Key Words? <x-msg://10/#C> >> • How Does Your Submission Connect to Science? <x-msg://10/#D> >> • Join Us for a Full Schedule of Activities <x-msg://10/#E> >> • Questions? <x-msg://10/#F> >> >> <>Special Meeting Themes <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb34c90afb66c66a8ef9ab3…> >> While as always, the meeting is happy to accept symposium presentations and contributed oral and poster presentation in any of the broad science disciplines indicated below, this year we have also identified several themes around which we will organize part of the meeting. If your symposium, workshop, or contributed oral or poster presentation is relevant to one (or more) of these themes, please include the theme(s) in your list of key words. >> <>Common Topics for the Local Commmunity <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbc05720a2757a81874bb66…> >> Working with local community leaders we have identified several topics of particular interest to the local community. >> • Climate change >> • Causes and impacts of forest fires >> • Societal and economic implications of AI, machine learning, and robotics >> • The opioid epidemic >> • Local Oregon environmental issues including the proposed Coos Bay pipeline and efforts to remove dams from the Klamath River >> • Diversification of local agriculture >> • The biology of aging >> • The science of wine >> • Impact and issues concerning pollinators >> <>What Are the Key Words of Your Symposium, Workshop, or Research? <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbffc8fa54ab934d6d2d19a…> >> Please also indicate in the key words if your symposium, workshop or contributed research relates to the following issues in science and technology: >> • The future of scientific publishing >> • The future of higher education >> • The expanding role of computational modeling in basic science >> • New approaches to STEM education: k-12 >> • The importance of interdisciplinary approaches in science and technology >> • Engaging the public in science >> • Fostering inclusion of underrepresented minorities in science >> <>How Does Your Submission Connect to Science? <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb72cd3152f7a079a21c46b…> >> Finally, this year’s meeting is also making an explicit effort to link and collaborate with regional cultural organizations and assets. Accordingly, please indicate in your key words if your submission is potentially relevant to linkage between science and: >> • Theater >> • Film >> • Art >> • Music >> <>Plan to join us for a full schedule of activities >> • Contributed oral and poster paper sessions (submission deadline April 18) >> • CALL for ABSTRACTS for CONTRIBUTED PAPERS and POSTERS <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb4b72807b94dd5d8ea46b8…> >> >> • Symposia (submission deadline April 1) >> • CALL for SYMPOSIA <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbd65caabe6518329fc44c0…> >> >> • Workshops (submission deadline April 1) >> • CALL for WORKSHOPS <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbd65caabe6518329fc44c0…> >> >> • Field trips >> • In keeping with a long tradition for this meeting, a wide range of field trips will be offered to meeting participants and their families. Discount prices will also be arranged for a number of outdoor adventures. >> >> • Hands on science banquet <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbcaead0944f9292f084718…> >> • Networking opportunities >> • And much more! >> >> <>Questions? >> Contact James Bower, Executive Director of the Pacific Division, by email at bowerj(a)sou.edu. <mailto:bowerj@sou.edu> >> >> <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb82f599d2fab795415c065…> Manage Your Email Subscription Preferences | Unsubscribe <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb97019d52e669189dd00e2…> | Privacy Policy <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb98682473fd7b8b0c5125d…> | Forward to a friend <http://view.aaas.sciencepubs.org/ftaf.aspx?qs=4d099bbbcb6bad6b70eebec04f0af…> >> This email was sent on behalf of Special Announcements from AAAS/Science to: BOWERJ(a)SOU.EDU <mailto:BOWERJ@SOU.EDU> >> >> AAAS/Science | 1200 New York Avenue NW | Washington, DC 20005 | USA >> +1-202-326-6730 | 866-265-4152 (toll-free in the USA) >> >> Copyright © 2019 American Association for the Advancement of Science >> >

Feb. 11, 2019

Prometheus: Cloud Computing Portal for Computational Optogenetics

by Nikolic, Konstantin

We would like to announce the availability of "Prometheus: Cloud Computing Portal for Computational Optogenetics". This is a web-based portal for PyRhO - a set of tools with a GUI for modelling and simulating opsins in neurons, using Python, Neuron or Brian 2. The main attraction is that all necessary modules and dependencies are already installed and configured (including the Python programming language, commonly used scientific Python libraries, NEURON and Brian2 simulation platforms) and the GUI comes with some pre-loaded values. So the platform can be used immediately. Absolutely no installation or set-up is required, just a web-browser, since the portal is using IPython/Jupyter<https://jupyter.org/> notebook. The portal is available here: http://try.projectpyrho.org/ To simplify things, there is no registration wall at the moment. But please note that the resources we are currently renting from a cloud computing service provider are limited. So please be patient - sometimes it might take more time to execute your job, depending on the number of users running their codes at the same time. A paper describing the platform, including several demonstrations, has been published: Evans et.al: "PyRhO: A Multiscale Optogenetics Simulation Platform", Frontiers in Neuroinformatics (2016): https://www.frontiersin.org/articles/10.3389/fninf.2016.00008/full Best regards, Dr Benjamin Evans, Bristol University, UK Dr Konstantin Nikolic, Imperial College London, UK

Feb. 11, 2019

MBL Methods in Computational Neuroscience Course

by Stephen A. Baccus

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 29 to August 23, 2019, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 19*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2019 Course Directors: Stephen Baccus, Stanford University Xiao-Jing Wang, New York University 2019 Confirmed Faculty: Larry Abbott, Columbia University Emery Brown, MIT Dmitri Chklovskii, Simons Institute Anne Collins, UC Berkeley Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Ila Fiete, University of Texas Austin James Fitzgerald, Janelia Res., HHMI Loren Frank, UCSF Michale Fee, MIT Stefano Fusi, Columbia University Surya Ganguli, Stanford University Mark Goldman, UC Davis Kenneth Harris, U. College London James Haxby, Dartmouth University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, Univ. of Southern California Jonathan Pillow, Princeton University David Redish, U. Minnesota Terry Sejnowski, Salk Institute Mike Shadlen, Columbia U. Reza Shadmehr, Johns Hopkins Univ. Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Klaas Stephan, Univ. of Zurich Josh Tenenbaum, MIT Nao Uchida, Harvard University Greg Wayne, DeepMind Hongkui Zeng, Allen Institute

Feb. 9, 2019

Postdoctoral Fellow in Multimodal Brain Imaging of Neurodegeneration

by Yasser Iturria Medina

*Postdoctoral Fellow in Multimodal Brain Imaging of Amyotrophic Lateral Sclerosis (ALS)* We are looking for a highly motivated postdoctoral student, for joining the *Neuroinformatics for Personalized Medicine* lab (NeuroPM) at the Montreal Neurological Institute (McGill University, Montreal, Canada). The postdoc will be under the supervision of Professors Yasser Iturria-Medina (McGill University) and Sanjay Kalra (University of Alberta), and will be expected to collaborate with multiple associated groups. The project, for one year and potentially extendable for another year, includes the analysis of direct multifactorial brain interactions and intra-brain network spreading of aberrant effects in Amyotrophic Lateral Sclerosis. The NeuroPM lab (*http://www.neuropm-lab.com/ <http://www.neuropm-lab.com/>*) is affiliated with the Healthy brain for Healthy Lives (HBHL) initiative (*https://www.mcgill.ca/hbhl/ <https://www.mcgill.ca/hbhl/>*), the Ludmer Center (*http://ludmercentre.ca/ <http://ludmercentre.ca/>*), and the McConnell Brain Imaging Center ( https://www.mcgill.ca/bic/) involving computationally intensive and interdisciplinary research on the brain. The MNI is an internationally renowned institution, characterized by the integration of research and patient care. The Kalra Lab (http://www.ualberta.ca/ALS/research/) has the mission of improving our understanding of ALS biology through brain imaging and translational research. It is the central coordinating site for the Canadian ALS Neuroimaging Consortium (CALSNIC), a multicenter research platform for the collection of harmonized imaging and behavioural data. Interested candidates should have a background in brain imaging and Matlab. Experience in neurodegeneration and brain computational analysis will be an asset. Interested persons should send their CV, a cover letter stating research interests, and two reference letters. The competition will remain open until the position is filled. *Contact*: Yasser Iturria Medina, Email: iturria.medina(a)gmail.com -- Yasser Iturria Medina, PhD. Montreal Neurological Institute, McGill University Montreal, Canada H3A 2B4, Phone # 514-398-1524 Lab: http://www.neuropm-lab.com/

Feb. 9, 2019

PhD positions - Learning in Spiking Neural Networks

by Robert Legenstein

The Lab of Robert Legenstein at TU Graz is offering funded PhD positions in the areas Spiking Neural Networks/Machine Learning/Brain Models/Neuromorphic Hardware. A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. Successful candidates will work on learning algorithms for spiking neural networks in the interdisciplinary consortium of the EU-funded project SYNCH. We will develop in this project learning algorithms for spiking neural networks (unsupervised, supervised, and reward-based). Hardware experts will implement these algorithms in cooperation with our team in a spiking neural network chip. The chip will be applied to various tasks within a brain-silicon hybrid system such as the classification of recorded brain network states. (see https://www.tugraz.at/institute/igi/people/prof-legenstein/projects/ for a brief description). Please send your application including a CV, any prior thesis and/or work by February 28 to robert.legenstein(a)igi.tugraz.at Dr. Robert Legenstein Institute Head Institute for Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

Feb. 8, 2019

Postdoctoral position in network modeling

by Fidel Santamaria

Postdoctoral position in network modeling An NIH-funded postdoctoral position is available in the lab of Charles Wilson at the Neurosciences Institute of the University of Texas at San Antonio, on the topic of oscillations and oscillatory coupling in the basal ganglia. The successful applicant will join a team of experimentalists to create a large scale accurate model of the basal ganglia, with a focus on activity pattern formation by oscillating neurons in the globus pallidus, subthalamic nucleus and substantia nigra. Applicants should have an interest in the function of the basal ganglia and experience making and using models of neurons and networks. Experience with intracellular recoding is beneficial, but not required. For information about the lab see: https://marlin.life.utsa.edu/ For information about the UTSA Neurosciences Institute see: https://neuroscience.utsa.edu/ To apply please send your CV, a letter describing your experimental interests and contact information for two potential references to Charles Wilson (charles.wilson(a)utsa.edu<mailto:charles.wilson@utsa.edu>).

Feb. 8, 2019

Post-doc position neuropysiology of hearing impairment and machine learning

by Jochem Rieger

Dear list, The DFG-funded cluster of Excellence "Hearing 4 All" has an open post-doctoral position in project "Characterizing central neural speech processing in normal and hearing impaired listeners using machine learning". The aim of the project is to combine neurophysiological measurements (fMRI and/or MEG/EEG) with data driven machine learning to characterize cortical consequences of hearing loss. We offer an international and interdisciplinary research environment and access to up-to-date research facilities. The position is available from April 1st, 2019 until October 31st, 2022. Salary level German TV-L E13, full time. The payment includes an experience dependent component. Application deadline is February 27th 2019 The full job announcement can be found here: https://uol.de/stellen/?stelle=66447 Please forward this message to people who might be interested Regards, Jochem -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology Head of Neuroimaging Unit Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865

Feb. 8, 2019

Brainhack Warsaw (March 1–3, 2019, Poland)

by Daniel Borek

Brainhack Warsaw 2019 March 1-3, 2019 University of Warsaw, Warsaw, Poland — REGULAR -> 04.02 - 17.02 -> 120 PLN (ABOUT €29) — — LATE -> 18.02 - 24.02 -> 135 PLN (ABOUT €33) — On the weekend of March 1-3, 2019, the second edition of Brainhack Warsaw will take place. During this three-day event dedicated to students and PhD students, we will work in teams on neuroscience-related projects. The aim of the event is to meet new, enthusiastic researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community (Craddock et al., 2016) <https://gigascience.biomedcentral.com/articles/10.1186/s13742-016-0121-x>. Attendees of various backgrounds are welcome to join! Below you could see a list of projects which will be realised during our three-day event: - Generating fake MRI to enhance Alzheimer’s disease prediction <https://brainhackwarsaw.github.io/index.html#project2> - Network analysis of the electrical activity of the brain during epileptic seizures <https://brainhackwarsaw.github.io/index.html#project3> - Deep Frankenstein: dissecting and sewing artificial neural networks <https://brainhackwarsaw.github.io/index.html#project4> - Tackling the ABCD Neurocognitive Prediction Challenge <https://brainhackwarsaw.github.io/index.html#project5> - Multidimensionality problem in passive BCI for game control <https://brainhackwarsaw.github.io/index.html#project6> - Cross-Recurrence Quantification Analysis (cRQA) as a new measure of functional connectivity <https://brainhackwarsaw.github.io/index.html#project7> - EMG-based desktop controlling <https://brainhackwarsaw.github.io/index.html#project8> - Mapping the state of modern psychology through the public online activity of scientists <https://brainhackwarsaw.github.io/index.html#project9> ‘Regular’ and ‘Late’ registration for project participants close subsequently on 17.02 and 24.02.2019. A registration fee will be requested after registration. The registration fee will be spent on catering during the event. To register please visit our page and learn more about the Brainhack Warsaw! https://brainhackwarsaw.github.io/ We looking forward to seeing you in Warsaw! On behalf of the Brainhack Warsaw 2019 team

Feb. 8, 2019

Computational & Cognitive Neuroscience Summer School 2019

by Christopher Honey

We are pleased to announce the 9th Computational and Cognitive Neuroscience (CCN) Summer School which will take place June 29 - July 21, 2019 in Suzhou, China. Designed to emphasize higher cognitive functions and their underlying neural circuit mechanisms, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation and microcircuits up to large-scale systems and machine-learning approaches. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. Course information and application instructions are available on the CCN Summer School website: www.ccnss.org Applications are being accepted through the Cold Spring Harbor Asia website: http://www.csh-asia.org/summerschool_SCOSYNEinstruct.html The application deadline is March 8, 2019. Faculty: Carlos Brody (Princeton) Bob Desimone (MIT) Bard Ermentrout (Pitt) Winrich Freiwald (Rockefeller) Biyu He (NYU) Sukbin Lim (NYU) John Murray (Yale) Jascha Sohl-Dickstein (Google Brain) Jon Winawer (NYU) Byron Yu (CMU) Organizers: Dora Angelaki (NYU) Xiao-Jing Wang (NYU) Christopher Honey (Johns Hopkins) Robert Guangyu Yang (Columbia) Feel free to direct any questions to Chris Honey ( chris.honey(a)jhu.edu ) and Robert Guangyu Yang ( robert.yang(a)columbia.edu ).

Feb. 8, 2019

PhD position in DFG project: Active vision: control of eye-movements and probabilistic planning @TU Darmstadt

by Constantin Rothkopf

Applications are invited for a PhD student position in the lab of Constantin Rothkopf at the Technical University Darmstadt. The position is initially funded by the German Research Foundation DFG for three years. The project 'Active vision: control of eye-movements and probabilistic planning' aims to investigate how humans carry out eye-movements across different tasks and how this can be understood with models of probabilistic planning. Recent publications of the lab on this topic include the following papers: - Hoppe, D., & Rothkopf, C. A. (2016). Learning rational temporal eye movement strategies. Proceedings of the National Academy of Sciences, 113(29), 8332-8337. - Hoppe, D., & Rothkopf, C. A. (2019). Multi-step planning of eye movements in visual search. Scientific reports, 9(1), 144. Applicants need to have a Masters degree in cognitive science, computer science, psychology, or related fields. In addition to a strong general interest in cognitive science, computational science, experimental psychology, and interdisciplinary research, the ideal candidate has a background in eye-tracking and probabilistic planning. Analytical know-how, awareness of experimental literature, and experience with programming (e.g. Python, Matlab, C++) are indispensable. We offer a supportive and multidisciplinary environment driven by scientific curiosity, lab facilities for measuring eye and body movements in extended behavior in-the-wild and in VR, and collaborations with universities and research institutes in Frankfurt, Giessen, as well as internationally. The lab is part of the Centre for Cognitive Science and the Institute of Psychology at TU Darmstadt. If you are interested, please send a CV, a brief (max. 2 pages) cover letter explaining your research interests, what you are looking for in a PhD, why you would like to study in the lab, your longer term career goals, and the names and contact details of 2-3 academic references to constantin.rothkopf(a)cogsci.tu-darmstadt.de until February 28th 2019, but later applications will be considered until the position is filled. -- Constantin A. Rothkopf, PhD http://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ http://www.ai-da.tu-darmstadt.de/

Feb. 7, 2019

FENS SfN Summer School 2019 on brain reading and writing: new perspectives of neurotechnology - apply by 18 February

by FENS Schools

Dear Colleagues, This year's FENS-SfN neuroscience summer school on *Brain reading and writing: new perspectives of neurotechnology* will take place on 2-8 June in Bertinoro, Italy. We would like to invite you to have a look at the programme below. *Scientific chairs*: *Dr. Pieter Roelfsema* <https://nin.nl/research/researchgroups/roelfsema-group/>, Netherlands Institute for Neuroscience, The Netherlands *Dr. Andrew B. Schwartz* <http://motorlab.neurobio.pitt.edu/schwartz.php>, Department of Neurobiology, School of Medicine, University of Pittsburgh, USA *School Programme Description* During this school, we will discuss the intracortical methods being developed for reading from, and writing to, the brain. A set of international lectures will provide an overview of the emerging therapeutic applications made possible with this technology. In addition to being exposed to new hardware, students will learn about, and apply new computational approaches to facilitate brain-device communication. We will discuss some of the interesting ethical ramifications of a neuro-technologically assisted future. *Faculty members*: *Matteo Carandini* <https://www.carandinilab.net/>, Cortexlab, UCL, UK *Xinyan Tracy Cui* <https://www.engineering.pitt.edu/cui/>, Department of Bioengineering, University of Pittsburgh, USA *Eduardo Fernandez* <https://www.umh.es/contenido/pdi/:persona_4122/datos_en.html>, Institute of Bioengineering, Universidad Miguel Hernández de Elche, Spain *Tim Harris* <https://www.janelia.org/lab/harris-lab>, Howard Hughes Medical Institute, Janelia Research Campus, USA *Karin Jongsma* <https://www.umcutrecht.nl/en/Research/Researchers/Jongsma-Karin-KR>, Julius Center, University Medical Center Utrecht, The Netherlands *Jason Kerr* <https://www.caesar.de/en/our-research/behavior-and-brain-organization/direc…>, Department of Behavior and Brain Organization, Research Center caesar, Bonn, Germany *Stephanie Lacour* <https://cnp.epfl.ch/Lacourlab>, Center for Neuroprosthetics, EPFL, Switzerland *Antonio Regalado* <https://www.technologyreview.com/profile/antonio-regalado/>, MIT Technology Review, USA *José-Alain Sahel* <http://www.mirm.pitt.edu/our-people/faculty-staff-bios/jose-alain-sahel-md/>, Department of Ophthalmology, University of Pittsburgh School of Medicine, USA *Eilon Vaadia* <https://elsc.huji.ac.il/index.php?q=vaadia/home>, Edmond and Lily Safra Center for Brain Sciences, Israel *Anna Wang Roe* <http://www.ziint.zju.edu.cn/index.php/Index/index.html>, Zhejiang University Interdisciplinary Institute of Neuroscience and Technology (ZIINT), China *Byron Yu* <https://users.ece.cmu.edu/~byronyu/>, Electrical & Computer Engineering and Biomedical Engineering, Carnegie Mellon University, USA *Application form*: http://www.fens.org/Training/FENS-Schools/Summer-School-2019/Application-Fo… *Deadline*: 18 February 2019, 3pm CET. Further information about the school and available stipends can be found here <https://www.fens.org/Training/FENS-Schools/Summer-School-2019/>. Feel free to share this enriching opportunity with your professional network. Best regards, FENS Schools Administration

Feb. 7, 2019

Ottawa Summer School: Application Deadline Approaching

by Richard Naud

Dear comp-neuro, This is a second announcement for the Summer School of the Centre for Neural Dynamics<http://www.neurodynamic.uottawa.ca/summer.html> At the University of Ottawa May 26 - June 7, 2019 The application deadline on Feb. 15 is quickly approaching. The course is intended for graduate students and undergraduate students in their third and fourth year of study in the physical sciences (e.g. physics, applied mathematics, engineering, computer science) and the life sciences (e.g. neuroscience, biology, physiology, human kinetics) who wish to develop their skills in neural data analysis and in mathematical modeling of neural activity. The topics will range from cellular to systems neuroscience, with applications in medicine. Individuals outside of academia may also participate. The first week will consist of 3 hours of lectures in the mornings followed by an afternoon of relatedcomputer-based laboratories. The second week will consist of 3 hours of lectures in the mornings, followed by an afternoon of interactive discussions and brainstorming activities. Each day will focus on a different subject in systems neuroscience and/or medicine. Participants will work in small groups with mentors, and will be prepared for these activities by directed readings. Later in the afternoon, groups will convene into a plenary session with our experts to identify proper computational questions and associated timely research projects on the focus theme. All classes will be held on the main downtown campus of the University of Ottawa. The course can also be taken for credit, since it is a University of Ottawa three-credit graduate course (NSC8104). The mark will be based on work done in the computer laboratories and a project. All students receive a letter stating that they satisfactorily participated in the school, regardless of whether they take the course for credit. Those taking it for credit will receive their mark from the University of Ottawa Registrar's Office later in the summer. Important Dates January 6, 2019: Registration opens. February 15, 2019: Application deadline (including letter of recommendation). Faculty * Prof. André Longtin (uOttawa) * Prof. Richard Naud (uOttawa) * Prof. John Lewis (uOttawa) * Prof. Maia Fraser (uOttawa) * Prof. Len Maler (uOttawa) * Prof. Jean-Philippe Thivierge (uOttawa) * Prof. Jean-Claude Béïque (uOttawa) * Prof. Maurice Chacron (McGill) * Prof. Jonathan Rubin (U Pitt) * Prof. Simon Chen (uOttawa) * Prof. Blake Richards (McGill,MILA) * Prof. Steve Prescott (U Toronto) * Dr. Saskia De Vries (Allen Institute) Sponsored by OCNS and uOBMRI. Organizers André Longtin Richard Naud John Lewis

Feb. 6, 2019

Independent group leader positions in ML & Neuroscience, Tübingen, Germany

by Philipp Berens

The Cluster of Excellence "Machine Learning - New Perspectives for Science" (http://www.ml-in-science.uni-tuebingen.de/) at the University of Tübingen is looking for independent group leaders in machine learning and its scientific applications, including neuroscience: https://www.nature.com/naturecareers/job?id=674387 Appointments can be made at various levels, dependent on experience. Tübingen has a rich computational neuroscience scene to connect with, including faculty members Matthias Bethge, Peter Dayan and others: https://www.bccn-tuebingen.de/faculty.html We are looking forward to your application! -- Prof. Dr. Philipp Berens University of Tübingen Institute for Ophthalmic Research http://www.berenslab.org phone: +49-7071-2988833

Feb. 6, 2019

Open Position: Head of the Laboratory Neurophysics at U Goettingen, Campus Institute for Dynamics of Biological Networks

by von Behren, Christina

To whom it may concern, The Campus Institute for Dynamics of Biological Networks at the Georg-August-Universität Göttingen invites applications for the position as Head of the Laboratory Neurophysics This position is available immediately. This is a full time position with an unlimited contract. Salary and working hours will be according to the German pay scale 14 TV-L. The mission of the Laboratory Neurophysics will be to study the dynamics of neurons and neuronal populations, utilizing biophysical approaches, cellular electrophysiology, and neural interface technologies. The Head of the unit will guide the operation of the laboratory, design and conduct studies, supervise scientists, develop instrumentation, and acquire independent research funding. The Laboratory Neurophysics will serve as an interface for collaborative projects at the Göttingen Campus on the dynamics of neuronal cells and populations and their control through neural interfaces. The Head of the Laboratory Neurophysics will contribute to such collaborative research projects as well as to interdisciplinary teaching and training at the faculties of biology, physics, and in the biomedical sciences. Teaching subjects will in particular include quantitative concepts and methods of experimental and theoretical neuroscience, neural interface technologies and their applications in fundamental research, neural prosthetics, and the restoration of sensory and motor function. The successful candidate holds a Master in Science, University Diploma or equivalent, and a PhD or equivalent in biophysics, neuroscience or a related field, has a strong track record in biophysics and experimental and computational neuroscience, and an excellent publication record. We are looking for a person with in-depth experience in advanced quantitative methodologies and mathematical modelling in neuroscience/biophysics and the corresponding mathematical and programming capabilities. Experience with neural interfaces, quantitative imaging, cellular electrophysiology, molecular biology, and in vitro model systems will be essential. In order to optimally interact with partners on the Göttingen Campus, a broad range of research capabilities are expected: These include state of the art knowledge in synaptic and cellular physiology, in the biophysical basis of neural interface technologies, and in the development of instrumentation for stimulating animal and human brains. Experience with the study of cognitive and sensory-motor functions as well as with human studies will be advantageous. Neuroscience is a rapidly evolving field. We are looking for a person with the propensity to develop methods, rapidly adopt novel technologies and initiate cooperations with academic and industry partners. Experience in teaching and student supervision is required and should be documented in the application. Teaching languages are German and English. The Göttingen Campus is a leading center of neuroscience in Europe, hosting numerous internationally renowned research institutions, including the University and its Medical Center, the five Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The Campus Institute for Dynamics of Biological Networks (CIDBN) is a newly founded transdisciplinary institute. Its mission is to foster frontier research at the border of the exact and biological sciences and to develop advanced mathematical and computational concepts for the analysis of biological networks. On the Göttingen Campus, the CIDBN closely interacts with the Max Planck Institute for Dynamics and Self-Organization, the Max Planck Institute for Experimental Medicine, the German Primate Center, the faculties of Physics and Biology and the University Medical Center. It participates in three key research foci: Primate Cognition, Physics to Medicine and Life at the Nanoscale. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application, preferably in one single PDF-document, including a letter of interest, your curriculum vitae, a list of publications, copies of certificates and contact information of at least two references by Feb. 22nd, 2019 to simone.kleinhans(a)biologie.uni-goettingen.de<mailto:simone.kleinhans@biologie.uni-goettingen.de> (Subject: Neurophysics, CIDBN). Georg-August-Universität Göttingen, Johann-Friedrich-Blumenbach-Institut für Zoologie und Anthropologie, Department Systems Neuroscience, Mrs Simone Kleinhans, Von-Siebold-Str. 6, 37075 Göttingen. If you have any questions, please contact Dr. Yvonne Reimann via e-mail: yvonne.reimann(a)uni-goettingen.de<mailto:yvonne.reimann@uni-goettingen.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo Kind regards, Christina von Behren -- Max Planck Institute for Dynamics and Self-Organization Bernstein Centre for Computational Neuroscience Postal address: Max-Planck-Institute for Experimental Medicine Hermann-Rein-Str. 3 37075 Goettingen Germany Email: christina.vonbehren(a)ds.mpg.de<mailto:christina.vonbehren@ds.mpg.de> Tel.: +49-(0)551-39-26674

Feb. 5, 2019

11 PhD / 12 Postdoc positions, Science of Intelligence research

by Sprekeler, Henning

APPLY BY 15 FEBRUARY 2019 *Science of Intelligence Berlin - Cluster of Excellence* *11 PhD and 12 Postdoc positions* with Principal Investigators at six participating institutions Cross-disciplinary research in artificial intelligence, machine learning, control, robotics, computer vision, behavioral biology, cognitive science, psychology, educational science, neuroscience, and philosophy Starting dates: Summer / Fall 2019 Duration of positions: 3 years Salary level: TV-L 13, 100% for all positions What are the principles of intelligence, shared by all forms of intelligence, no matter whether artificial or biological, whether robot, computer program, human, or animal? And how can we apply these principles to create intelligent technology? Answering these questions - in an ethically responsible way - is the central scientific objective of the new Cluster of Excellence Science of Intelligence: www.scioi.de<http://www.scioi.de> Researchers from a large number of analytic and synthetic disciplines - artificial intelligence, machine learning, control, robotics, computer vision, behavioral biology, cognitive science, psychology, educational science, neuroscience, and philosophy - join forces to create a multi-disciplinary research program across universities and research institutes in Berlin. Our approach is driven by the insight that any method, concept, and theory must demonstrate its merits by contributing to the intelligent behavior of a synthetic artifact, such as a robot or a computer program. These artifacts represent the shared "language" across disciplines, enabling the validation, combination, transfer, and extension of research results. Thus we expect to attain cohesion among disciplines, which currently produce their own theories and empirical findings about aspects of intelligence. Interdisciplinary research projects have been defined which combine analytic and synthetic research and which address key aspects of individual, social, and collective intelligence. In addition the Science of Intelligence graduate program promotes the cross-disciplinary education of young scientists on a Master, PhD, and postdoctoral level. All PhD students associated with the cluster are expected to join the Science of Intelligence doctoral program: www.scioi.de/education/doctoral-program<http://www.scioi.de/education/doctoral-program> The cluster welcomes applications from all disciplines that contribute to intelligence research. Information on the required documents and the application process (including deadline and timeline for reviews and interviews) may be obtained from: www.scioi.de/call-for-applications/application-process<http://www.scioi.de/call-for-applications/application-process> Further information on the individual PhD and postdoctoral research projects is available at: www.scioi.de/call-for-applications/open-positions<http://www.scioi.de/call-for-applications/open-positions> Applicants wishing to apply for several projects need to provide separate applications for each project. SUBMIT YOUR APPLICATION HERE: https://www.scienceofintelligence.de/call-for-applications/open-positions/ --- Prof. Dr. Henning Sprekeler Technische Universität Berlin & Bernstein Center for Computational Neuroscience Berlin Email: h.sprekeler(a)tu-berlin.de<mailto:h.sprekeler@tu-berlin.de>

Feb. 4, 2019