- Comp-neuro - lists.cnsorg.org

Multiple Vacancies at the University for Melbourne

by Uwe Aickelin

Hi, Hope this message finds you well. Please consider sharing this with any interested researchers. The University of Melbourne’s School of Computing and Information Systems is recruiting for 4x open positions. Application deadlines: Sep 26, 2022 (Australian Eastern Daylight Time) Lecturer/Senior Lecturer in machine learning: https://go.unimelb.edu.au/282e Lecturer/Senior Lecturer in theory of computing: https://go.unimelb.edu.au/f82e Lecturer/Senior Lecturer in information systems: https://go.unimelb.edu.au/482e Senior Lecturer/Associate Professor in fairness: https://go.unimelb.edu.au/h82e (These are continuing positions equiv. US tenure track research & teaching / faculty positions at a range of levels.) We’re excited to invite applications from individuals passionate about research, training, teaching, and engagement, to join us at Australia’s premier university, situated in one of the world’s most liveable cities. Best, Uwe Aickelin -- Professor Uwe Aickelin | Head of School of Computing and Information Systems Faculty of Engineering and Information Technology Level 3, Melbourne Connect – 700 Swanston Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin(a)unimelb.edu.au<mailto:uwe.aickelin@unimelb.edu.au> http://aickelin.com/ | http://linkedin.com/in/aickelin

Sept. 6, 2022

Neo community review extended to Sep 29 - call for comments and feedback

by Malin Sandström

Dear all, INCF is asking for your help to review the Neo object model <https://www.incf.org/sbp/neo>for electrophysiology data, to assess its value as a community standard. Participating is simple; read the INCF SBP committee review report <https://f1000research.com/documents/11-658> on F1000 and leave your feedback in the comments! You can comment to express your support, to point out possibilities for improvement - or both. We are especially interested in hearing from Neo users and from tool developers who have implemented support for Neo or use Neo as part of their workflow. Please give us your feedback in a comment as soon as possible, but latest September 29: f1000research.com/documents/11-658 More information: Neo <https://www.incf.org/sbp/neo> is an object model for handling electrophysiology data in multiple formats. It is suitable for representing data acquired from electroencephalographic, intracellular, or extracellular recordings, or generated from simulations. Neo has been implemented as a Python package for working with electrophysiology data, together with support for reading a wide range of neurophysiology file formats (including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, Igor Pro), and support for writing to a subset of these formats plus non-proprietary formats including Kwik and HDF5. Read more about Neo: Project page <https://neuralensemble.org/neo/> Documentation <https://neo.readthedocs.io/en/stable/> Github <https://github.com/NeuralEnsemble/python-neo> Paper <https://www.frontiersin.org/articles/10.3389/fninf.2014.00010/full> -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org ORCID: 0000-0002-8464-2494 International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

Sept. 6, 2022

3rd SMILES workshop in less than one week! (12 sept.)

by Xavier Hinaut

The 3rd SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place both on site and virtually at ICDL 2022 conference. **9am-6pm UTC+1 (London time) on September 12, 2022** * Invited talks: - Joanna Raczaszek-Leonardi (University of Warsaw, Poland) - Joel Z Leibo (DeepMind, London, UK) - Lorijn Zaadnoordijk (Trinity College Dublin, Ireland) - Martin Butz & Christian Gumbsch (University of Tübingen, Germany) - Ida Momennejad (Microsoft Research NYC, USA) * Important info: - Registration: https://forms.gle/No8xFFkmfKXXdNMm7 (if you come onsite, you also need to register here: https://icdl2022.qmul.ac.uk/?page_id=50 ) - Workshop website: https://sites.google.com/view/smiles-workshop/ - Onsite venue: Graduate Center, Queen Mary University of London, UK. More info here: https://icdl2022.qmul.ac.uk/?page_id=103 - Venue online: via Zoom and Discord group. - Join our Discord: https://discord.gg/sBZbdSWRvJ (expires after 100 hits) - Follow us on Twitter: https://twitter.com/SMILESconf * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Symbol grounding and symbol emergence, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and language acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - contact: smiles.conf(a)gmail.com - organizers: Xavier Hinaut, Clément Moulin-Frier, Silvia Pagliarini, Joni Zhong, Michael Spranger, Tadahiro Taniguchi, Anne Warlaumont. - ICDL conference website: https://icdl2022.qmul.ac.uk/ Xavier Hinaut on behalf of the SMILES workshop organisers: - Clément Moulin-Frier, Inria and Ensta ParisTech, Bordeaux, France - Anne Warlaumont, UCLA, Los Angeles, USA - Silvia Pagliarini, UCLA, Los Angeles, USA - Michael Spranger, Sony AI and Sony CSL, Tokyo, Japan - Tadahiro Taniguchi, Ritsumeikan University, Kyoto, Japan - Junpei Zhong, Hong Kong Polytechnic University, Hong Kong, China Xavier Hinaut Inria Research Scientist www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models <https://www4.labri.fr/en/formal-methods-and-models> & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en <http://www.imn-bordeaux.org/en> --- Our new release of Reservoir Computing library: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy>

Sept. 5, 2022

2 year independent Postdoc position in human centered AI (German required)

by Laurenz Wiskott

The Institute for Neural Computation of the Faculty of Computer Science is looking for a Postdoc (m,f,x) for 2 years, full-time, TVL E13 The Institute for Neural Computation is part of the Faculty of Computer Science at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a postdoc in the group of Prof. Dr. Laurenz Wiskott to be filled October 1st. The project is part of the competence center HUMAINE for human-centered artificial intelligence, see https://humaine.info/, and will be developed in close collaboration with colleagues at RUB and application partners in industry, among others. We offer: * An interesting interdisciplinary environment in the field of Artificial Intelligence / Machine Learning. * Opportunity to develop an independent research profile and your own research group. * Opportunity to pursue further scientific qualification. * Diverse and interesting contacts at the university, in transfer, and in industry. * A lot of room for own ideas and initiatives. Your opportunities: * Acquiring and maintaining industry contacts. * Scientific advice for companies to help them introduce AI in work processes. * Advising corresponding PhD and student projects. * Coordination of events and teaching of advanced training courses about human-centered AI for developers and decision makers in industry Your profile: * Very good PhD in mathematics, computer science, engineering, or a related field * Solid knowledge in Artificial Intelligence / Machine Learning. * Good programming and mathematical skills * Good command of German. * Good organizational and communicative abilities. * Advantageous: + Experience in industry cooperations and interdisciplinary projects. + Programming skills in Python. Our offerings: * Challenging and varied tasks with a high degree of personal responsibility * Support from and cooperation with competent colleagues * A dynamic environment * Fair and flexible working hours * Support in reconciling family and work/academics (including childcare placement, holiday offers, mobile children's room) Additional information: The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). Contact details for your application: Prof. Dr. Laurenz Wiskott, Phone: +49 234 32 27997 Travel expenses for interviews cannot be refunded. For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-appl…. We are looking forward to receiving your application with the specification ANR: 800 until 30.09.2022, send by e-mail to the following address: laurenz.wiskott(a)rub.de extent: full-time duration: temporary beginning: as soon as possible application deadline: 30.09.2022 The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim. The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.

Sept. 5, 2022

WWNeuRise online seminars Sept-Oct 2022

by William Podlaski

WorldWideNeuRise will host several online talks throughout Sept-Oct 2022 on various topics in systems neuroscience from the following early career researchers. The first session will be on Wednesday, 7 September, 5pm CET, featuring: Pantelis Vafeidis (Rangel Lab, Caltech) - "Learning static and dynamic mappings with local self-supervised plasticity" Anna Kutschireiter (Spiden AG) - "The secret Bayesian life of ring attractors" Followed by two more sessions (talk titles TBA): Wednesday, 21 September, 5pm CET Kevin Berlemont (Wang Lab, NYU) Gabriel Stine (Shadlen Lab, Columbia University) Wednesday, 12 October, 5pm CET William de Cothi (Barry Lab, UCL) Brianna Vandrey (Nolan Lab, University of Edinburgh) For more information, please visit our website (https://neurise.github.io/) find us on WorldWideNeuro (https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter (https://twitter.com/WWNeuRise) We are always searching for PhD students and postdocs to give talks in our upcoming seminars on any topic in systems neuroscience. On our website ( https://neurise.github.io/) you can find an application form to directly apply, as well as a recommendation form, where you can suggest individuals from your lab, institute, or otherwise who you think might have an interesting story to tell! We are looking forward to seeing you at our upcoming seminars! The organising committee, Alon Baram (Behrens Lab, University of Oxford) Wesley Clawson (Levin Lab, Tufts University) Lucie Descamps (Kentros Lab, Norwegian University of Science and Technology) Gily Ginosar (Ulanovsky Lab, Weizmann Institute) Loreen Hertäg (Clopath Lab, Imperial College London) Joram Keijser (Sprekeler Lab, TU Berlin) Bill Podlaski (Machens Lab, Champalimaud Research)

Sept. 3, 2022

Academia and the World Beyond: Navigating Life after a PhD

by Christopher Madan

Hi everyone, Many PhD students and postdocs are unsure of what their options are, apart from academia. Even within academia, the responsibilities beyond research often haven't been sufficiently discussed. A book I have been working on for a few years has just come out, where I've interviewed 22 individuals about their post-PhD careers, both in academic and non-academic positions. All of them discuss their career journey, day-to-day life in their current position, and advice for current PhD students. You can find out more about the book on my website or directly from the publisher. https://engra.me/books/academiabeyond https://link.springer.com/book/10.1007/978-3-030-82606-2 Best, ~ Chris --- Christopher R Madan, PhD [he/him] | http://www.cmadan.com<http://www.cmadan.com/>, http://engra.me<http://engra.me/> Assistant Professor @ University of Nottingham Author of "An Introduction to MATLAB for Behavioral Researchers" | http://engra.me/books/matlab/ and "Academia and the World Beyond: Navigating Life after a PhD" | http://engra.me/books/academiabeyond This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

Sept. 1, 2022

Postdoc positions in nanoscale modeling of astrocytes, neurons or synapses

by Erik De Schutter

The Computational Neuroscience unit at the Okinawa Institute of Science and Technology (https://www.oist.jp) Japan has been spearheading nanoscale stochastic modeling of astrocytes, neurons and synapses (https://groups.oist.jp/cnu) We have two postdoctoral positions open and Japan is issuing visa for such positions. The selected candidates will build on previous work in modeling of cerebellar or hippocampal astrocytes, neurons and synapses using our STEPS software (http://steps.sourceforge.net) research project depending on experience and interests of the candidate. Previous experience in neural modeling required, preferentially as subject of PhD. Competences: A recent PhD in a relevant discipline such as neuroscience, molecular biology, biophysics or biochemistry. Experience in programming in Python. Fluent English conversation and writing skills. Benefits / Offer: A competitive salary and relocation package are offered. This an ideal position to gain experience in a prominent computational neuroscience lab and take part in our international collaborations. Please contact Prof. Erik De Schutter (erik(a)oist.jp) for inquiries.

Sept. 1, 2022

Neuromatch Conference, abstract submission deadline Sept 5

by Goodman, Daniel F M

Hi everyone, Neuromatch conference is happening at the end of September. Abstract submission deadline is on Monday, Sept 5th so get your abstract in asap! More details below. All the best, Dan After four successful conferences, Neuromatch is pleased to be holding our fifth. The scope of NMC 2022 includes computational neuroscience and machine learning work that has a biological link. We are excited to have a slate of excellent speakers and panelists lined up including: Keynotes from Larry Abbott, Rosa Chan, Ida Momennejad, and Mac Shine Panel on spiking computation: Priya Panda, Katie Schuman, and Peter Suma Panel on the future of scientific publishing: Tim Behrens, Simine Vazire, and Abeni Wickham Bridging-the-gap with computational psychiatry: Xiaosi Gu and Quentin Huys Each of our conferences has led the way in providing new innovations to the virtual conference space, and this year we are excited to offer you: * This year, all talks will be provided with a DOI for permanent identification of your contribution presented at NMC 2022. * The main talks will be hosted on Crowdcast. Instead of posters, we offer flash talks (brief pre-recorded videos) and dedicated meet-up times for discussion within Reddit. * A new edition of NMC for kids: a special session of talks for a younger audience and the young at heart interested in neuroscience, plus a new “Escape Room” experience. * Last year, we pioneered a new mechanism to connect talks in the conference to corresponding preprints on bioRxiv and medRxiv, and we will provide links to preprints on other platforms such as OSF preprints as well. Registration costs are set at 15 USD to cover technical costs, and if this is a difficulty, the fee can be waived without questions. Important dates: * September 5, 2022: Abstract submission deadline * September 7, 2022: Abstract acceptance and live talk selection news * September 22, 2022: Video submission deadline for flash talks * September 27 - 28, 2022: NMC 2022 Each of the two conference days will have two sessions, each of which is 4 hours long. Here are the hours for each of the sessions, as they would occur across five time zones from around the world: [X] Read more at http://conference.neuromatch.io<http://url7811.neuromatch.io/ls/click?upn=t-2Fc1cBCfoxXosHAxrgKl1QLSIJIza-2…> We look forward to seeing you at NMC 2022! All the best, Neuromatch Conference Organizing Committee

Aug. 31, 2022

Professor for Data Science at Univ Göttingen, Germany

by Ecker, Alexander

tl/dr: - Call for applications: Full professor (W2) for Data Science - Where: University of Göttingen, Germany (Faculty of Mathematics and Computer Science) - Deadline: Oct. 10 - Details: https://www.uni-goettingen.de/en/632302.html - Questions? Contact Alexander Ecker, ecker(a)cs.uni-goettingen.de == DETAILS == The Faculty of Mathematics and Computer Science at the Georg-August-University of Göttingen invites applications for Full Professor (W2) for Data Science (f/m/d) The professorship will be part of the Campus Institute Data Science (CIDAS) and will contribute to its development. CIDAS is a central institution of the University of Göttingen that fosters collaboration with partners of the Göttingen Campus, including the University Medical Center, the Cluster of Excellence “Multiscale Bioimaging,” several Max Planck Institutes, the Leibniz Institute for Primate Research, the Academy of Sciences and the German Aerospace Center Göttingen. The future position holder should have expertise in Data Science that complements the existing expertise at the institute. One of the following research areas is preferred: - Reinforcement learning - Virtual reality, augmented reality and digital avatars - Natural language processing - Human computer interaction - Causal models and inference - Time series modeling - Multimodal data integration and model building - Sensor-based information processing on programmable digital electronics - Image analysis and computer vision - Computational and simulation science - Visualization The candidate should have a track record of internationally competitive high-quality research, a high potential for groundbreaking research in internationally visible projects along with profound experience in supervising students. Strong interest in interdisciplinary collaboration with partners at the Göttingen Campus from disciplines such as biology, medicine, neural and behavioral sciences, digital humanities, social sciences, physics, economics, geosciences, forestry and agricultural sciences is expected. The candidate is expected to engage in undergraduate teaching in the faculty's computer science and data science programs. The University of Göttingen emphasizes research-oriented teaching. The conditions for recruitment are specified in Section 25 of the Higher Education Law of Lower Saxony in the currently applicable version. If all prerequisites are met, the candidate will be employed as a tenured civil servant. International scientists are highly encouraged to apply. The University of Göttingen aims to increase the proportion of women in areas where women are underrepresented and therefore strongly encourages qualified women to apply. As a family-friendly employer, the university promotes the compatibility of science/work and family. The university aims to employ more people with disabilities. People with disabilities who have appropriate qualifications and aptitude for the position will be given special consideration. Online applications with curriculum vitae, list of publications, description of third-party funding, teaching and research activities are requested by October 10, 2022 via the application portal https://lotus2.gwdg.de/uni/umin/w2_data_science_2022.nsf/application For further information, please contact Prof. Dr. Alexander Ecker, Institute of Computer Science and Campus Institute Data Science, via ecker(a)cs.uni-goettingen.de. We would like to point out that the submission of the application constitutes consent under data protection law for us to process your applicant data. For more details on the legal basis and data use, please visit Information General Data Protection Regulation (GDPR)

Aug. 30, 2022

Two fully funded PhD positions, Groningen/NL

by Michael Biehl

Please excuse multiple postings Application *deadline: September 29, 2022* *2 PhD positions* funded by the Groningen Cognitive Systems and Materials Center *(1) Push-Pull Inhibition in Deep Learning* *(2)* *Statistical Physics of Learning* *in Layered Networks* *Two fully funded PhD positions (4 years)* are available at the University of Groningen within the project "Robust Learning of Sparse Representations in Neural Networks". The official job announcement including more details and contact information is now available at https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… All applications should be submitted through this website before September 30, 2022. One PhD *(PP1)* will address the study of *"push-pull inhibition" in deep* *learning*, supervised by Dr. George Azzopardi (www.cs.rug.nl/~george) Candidates should have a strong background in brain inspired computing and deep learning. The second position *(PP2)* will be devoted to the *statistical physics* *based analysis* of model situations. Candidates for PP2 should have a strong background in (theoretical) physics, ideally with experience in the statistical physics based theory of neural networks and learning. Both positions will be *fully funded (4 years) *by the Groningen Cognitive Systems and Materials Center https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

Aug. 30, 2022