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CFP: FLAIRS-36, Neural Networks and Data Mining Special Track, Clearwater Beach, Fl, May 14-17, 2023

by David B

FLAIRS-36 Clearwater Beach, Florida, USA, May 14-17, 2023 Neural Networks and Data Mining Special Track Abstract submission deadline: February 6, 2023 Paper submission deadline: February 13, 2023 Notifications: March 13, 2023 Camera ready version due: April 10, 2023 The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double-blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): 1. Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Algorithms such as new developments in Back Propagation, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic. 3. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 4. Graph modeling, pattern discovery, and anomaly detection. 5. Feature extraction and selection. 6. Post-processing techniques such as visualization, summarization, or trending. 7. Preprocessing and data reduction. 8. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or tool suites, such as TensorFlow, PyTorch, Mahout, or Apache Spark, are also encouraged. Submission Guidelines Submitted papers must be original, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines ( https://www.flairs-36.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. Conference Proceedings Papers will be refereed and all accepted papers will appear in the conference proceedings. Program committee: Track Co-Chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Program Committee Members: Martin Atzmueller (University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (Verizon Business Solutions, USA) Sergei Dolenko (D.V.Skobeltsyn Inst of Nuc Phys, M.V.Lomonosov Moscow St Univ) Yoni Fridman (Verizon Business Solutions, USA) Olac Fuentes (University of Texas at El Paso, USA) Hyoil Han (Marshall University, USA) Sheikh Rabiul Islam (University of Hartford, USA) Mike James (iProgrammer, United Kingdom) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Katrina Kutchko (Verizon Business Solutions, USA) Prabin Lamichhane (Mastercard, USA) Lenin Mookiah (eBay, USA) Ramesh Paudel (George Washington University, USA) Roberto Santana (University of Basque Country, Spain) Hujun Yin (University of Manchester, UK) Further Information Questions regarding the Data Mining Special Track should be addressed to the track co-chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Invited Speakers To be announced Conference Web Sites Paper submission site: https://www.flairs-36.info/submissions FLAIRS-36 conference web page: https://www.flairs-36.info/ Florida AI Research Society (FLAIRS): https://www.flairs.com

Nov. 30, 2022

New book on Neurorobotics

by Jeffrey L Krichmar

Dear Colleagues, Our book on Neurorobotics is now published. Please pick up a copy :) Happy reading! Jeff ----------- Neurorobotics: Connecting the Brain, Body, And Environment, The MIT Press. Authors: Tiffany J. Hwu and Jeffrey L. Krichmar Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots—autonomous systems modeled after some aspect of the brain—offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science. Neurorobotics covers the background and foundations of the field, with information on early neurorobots, relevant principles of neuroscience, learning rules and mechanisms, and reinforcement learning and prediction; neurorobot design principles grounded in neuroscience and principles of neuroscience research; and examples of neurorobots for navigation, developmental robotics, and social robots, presented with the cognitive science and neuroscience background that inspired them. A supplementary website offers videos, robot simulations, and links to software repositories with neurorobot examples. Tiffany J. Hwu is a research scientist working on projects in autonomous agents and human-machine communication. Jeffrey L. Krichmar is a Professor in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine, where he teaches courses in artificial intelligence, cognitive robotics, and computational neuroscience. https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-… --------- Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

Nov. 29, 2022

PhD positions in the area of intracortical visual prostheses

by David Rotermund

The Computational Neurophysics lab at the University of Bremen headed by Dr. Udo Ernst offers - under the condition of job release - at the earliest possible date a position until 30.09.2024: *Research Assistant in Computational Neuroscience (f/m/d)* German federal pay scale E13 TV-L (65 %) for the research project *I-See2 - Improving Intracortical Visual Prostheses Using Complex Coding and Spontaneous Activation States* The lives of many individuals are strongly impaired by missing the sense of vision. One putative option to help them are cortical prostheses. Such devices record images from our environment, encode this information into the 'language' of the brain, and stimulate neuron populations in the visual system for creating a corresponding percept. I-See2 (www.isee.uni-bremen.de) investigates new principles for building cortical prostheses in an international group with researchers from Canada, Switzerland and Germany. Your position will be at the heart of the project in Bremen, where computational methods are developed and data from our partner labs comes together. You will perform modelling of visual information processing, analysis of data from electrophysiological multielectrode recordings and optical voltage imaging, and be involved in model-driven visual stimulus generation for animal and human experiments. The position comes with direct supervision by the principal investigators and project coordinators Dr. David Rotermund and Dr. Udo Ernst. *Requirements:* Ideal candidates have a master's degree in Computational Neurosciences, Physics, Computer Sciences or in related fields. They must have a strong background in neural networks, dynamical systems, mathematics and/or data analysis, and be experienced in programming (preferably in Python/Matlab). Above all, they must have a strong motivation, a sense for responsibility, a distinct desire to learn, and the ability to proactively collaborate in an international research environment. Fluency in English is required (both written and spoken). The Computational Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities. The university is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. In case of equal personal aptitudes and qualification priority will be given to disabled persons. Please explicitly address each of the specified requirements in the application. Detailed instructions are described below. Please send your application documents (motivation letter, CV, copy of your degree certificates including high school, list of skills, awards, publications, contact details of two academic reference) until December 9th, 2022 by indicating the job id A325/22 to: University of Bremen FB1 Computational Neurophysics lab Secretary of Dr. Udo Ernst Mrs Agnes Janßen Hochschulring 18, Cognium D-28359 Bremen Tel.: +49 421 218 62000 or in electronic form in a summarized PDF file via e-mail: ajanssen(a)neuro.uni-bremen.de. For questions of the research project please contact: Dr. Udo Ernst, E-Mail: udo(a)neuro.uni-bremen.de See also for general information on this topic: http://www.isee.uni-bremen.de _Detailed instructions for applicants_ Your application must comprise: *Motivation letter* Your 1-2 page essay should reply the following questions: • What is your background? In which fields have you worked before and how do you think this can be useful for the present job? • What attracts you to the field of computational neuroscience? • Which problem(s) in computational neuroscience are you most interested in? • What is your motivation to join our project? • What are your plans for your future career? *Curriculum Vitae* Send a classical tabular CV with your contact details, and all stages of education and employment. *List of skills, awards, publications* List your skills, especially proficiency in languages (including the level of proficiency), that you think might be useful for the job. Also list awards you might have got and peer-reviewed papers, in case there are some. *Contact details of two academic references* One of the references should be your MSc advisor. Please contact the references prior to listing their names so that they are not surprised if they get contacted. Your application can be in English or German, whatever language you are more familiar with. -- *Dr. David Rotermund* *University of Bremen* Institute for Theoretical Physics Faculty 01 Physics/Electrical Engineering Hochschulring 18, D-28359 Bremen Cognium, room 2450 Tel. +49 421 218-62003 Fax +49 421 218-62014 davrot(a)neuro.uni-bremen.de www.neuro.uni-bremen.de <https://www.neuro.uni-bremen.de> www.isee.uni-bremen.de <https://www.isee.uni-bremen.de>

Nov. 29, 2022

Fwd: INCF in Google Summer of Code (GSoC) 2023: call for mentors and project ideas

by Malin Sandström

Dear all, ---- please forward this call to potentially interested mentors in your network! --- INCF will apply to be a mentor organization in Google Summer of Code <https://summerofcode.withgoogle.com/> for the 13th time running. Important: Interested mentors need to contact us on gsoc(a)incf.org as early as possible with a declaration of interest and a short summary of the intended project. The deadline for expressions of interest is January 10. Full project descriptions need to be submitted by January 17. We are calling for open source software development project ideas with some sort of neuro connection - fixes or extensions to big/broadly applicable or small/niche tools used by neuroscience researchers, efforts and initiatives in the broad field of computational neuroscience. If your project supports or implements INCF endorsed standards or best practices <https://www.incf.org/resources/sbps>, we especially encourage you to apply. NB: There have been some changes to the program in recent years. These are the conditions for the 2023 program: - Flexibility in project lengths: a project can run for a duration of 10-22 weeks. The standard length is 12 weeks, but projects can be planned for a longer duration at the start, and they can be extended (by the org admin) on request during the program. - Choice of project time commitment: a project can be one of two sizes, either large (350 h) or medium (175 h). Google will want to us to apply with a good mix of large and medium project sizes. To give us a good chance of achieving a good mix, everyone submitting at least two project ideas will be asked to include both half-time and full-time projects (or at least one flexible project where the duration can be either large or medium, to be decided by mentor and contributor). - Contributions are *open to students* AND to *beginners in open source* software development. Also, the usual reminder: there is no guarantee that INCF will be accepted as a mentoring organization this year; Google announces the accepted organizations in February. Please be clear with this in your communication with potential contributors. The timeline will be a bit earlier than last year. Org applications will open January 23 and close February 7, with accepted organizations announced February 22. We aim to have a live Project Ideas list latest mid January. Reminder: Interested mentors need to contact us on gsoc(a)incf.org as early as possible with a declaration of interest and a short summary of the intended project. The deadline for expressions of interest is January 10. Full project descriptions need to be submitted by January 17. ________________________________ *Submission instructions* Each project idea submission should come by email to gsoc(a)incf.org and contain: 1) An informative title with relevant keywords (good-to-have: name of tool/project, name of programming language(s) or tools used) 2) A project description including a brief general intro, motivation, aims, scope and skills/skill level needed. Please make sure to clearly state - the planned effort (175 h, 350h or flexible) - the intended skill level (beginner, novice, intermediate, advanced) - the list of prerequisite skills the contributor will need to have - 2-5 tech keywords (Python, C++, Java, SQL, REST, CUDA, ...) For submissions with two or more project ideas, please include at least one project of each size (175 or 350 hours) or at least *one *project idea with flexible duration. 3) Name and email address of at least one lead mentor + one named co-mentor/backup mentor (a person who would be able and willing to back the main mentor up in mentoring in case something unforeseen happens). There can be more than one lead mentor, as long as you are internally clear on who does what. 4) Any planned longer absences during the lead up/student interaction period (February - April) or the project period (May - August), and your plan for covering them. 5) Format: your choice - txt, doc, docx, pdf or a link to a webpage with the full description(s). Anything that can be copied and pasted! Best regards, Malin Sandström -- 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 -- 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 -- 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

Nov. 29, 2022

Two open postdoctoral positions at Temple University

by Gillian Queisser

Position 1: Computational Neuroscience (https://www.mathjobs.org/jobs/list/21518<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.mathj…>) The Department of Mathematics, Temple University, is inviting applications for a non-tenure-track Research Assistant Professor position. The appointment is for four years, to start on July 1st, 2023. This position is part of a US-German Collaboration toward a biophysically principled network model of transcranial magnetic stimulation. The ideal candidate will have profound knowledge of numerical and computational methods for solving partial differential equations, excellent C++ programing skills and an interest in neuroscience/life science applications. The position also carries a teaching load of one class per semester. Applications should be be submitted via mathjobs.org, and include: the standard AMS Cover Sheet for Academic Employment, a cover letter, a curriculum vitae, a statement about current and future research, and a teaching statement. A complete application will also include at least four letters of recommendation, one of which addressing the candidate’s teaching qualifications. Review of applications will begin on January 1, 2023 and continue until the position is filled. Temple University is an Affirmative Action/Equal Opportunity Employer, and is committed to increasing the diversity of its faculty. We especially encourage applications from women, minorities, and other under-represented groups in the mathematical sciences. The Department of Mathematics at Temple University abides by the AMS postdoctoral offer response date guidelines. Position 2: Computational Mathematics (https://www.mathjobs.org/jobs/list/21570<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.mathj…>) The Department of Mathematics, Temple University, is inviting applications for a postdoctoral position. This is a non-tenure-track appointment. The appointment is for four years, to start on July 1st, 2023. This research position is part of a US-German Collaboration toward a biophysically principled network model of transcranial magnetic stimulation. The ideal candidate will have profound knowledge of numerical and computational methods for solving partial differential equations (PDEs), and an interest in developing mathematical theory and numerical methods for solving nonlinear PDEs on complex domains with nonlinear interface conditions. The position also carries a teaching load of one course per semester. Applications should be submitted via mathjobs.org, and include: the standard AMS Cover Sheet for Academic Employment, a cover letter, a curriculum vitae, a statement about current and future research, and a teaching statement. A complete application will also include at least four letters of recommendation, one of which addressing the candidate’s teaching qualifications. Review of applications will begin January 1, 2023 and continue until the position is filled. Temple University is an Affirmative Action/Equal Opportunity Employer, and is committed to increasing the diversity of its faculty. We especially encourage applications from women, minorities, and other under-represented groups in the mathematical sciences. The Department of Mathematics at Temple University abides by the AMS postdoctoral offer response date guidelines. ————————————————— Gillian Queisser Department of Mathematics Temple University 1805 N Broad Street Philadelphia, PA 19122-6094, USA

Nov. 28, 2022

PhD / PostDoc positions in the area of machine learning with spiking neurons

by David Rotermund

The Computational Neuroscience group at the University of Bremen headed by Prof. Dr. Klaus Pawelzik offers - under the condition of job release - at the earliest possible date a position until February 28, 2025 *Research Assistant /Postdoc in Computational Neuroscience (f/m/d)* German federal pay scale E13 TV-L (100 %) for the research project *Efficient Implementation of Spike-by-Spike Neural Networks using Stochastic and ApproximativeTechniques* The overarching goal of our project is to improve the efficiency of spiking artificial neural networks using hardware and algorithmic approximation techniques. Specifically, the project focuses on Spike-by-Spike networks since they offer a balance between computational requirements and biological realism which keeps the advantages of the biological networks while enabling a compact technical realization. To fully take advantage of the unique features of SbS in terms of robustness and sparseness, dedicated hardware architectures are required. You would join in with numerical simulations, theoretical analyses, as well as through the development of new ideas and approaches for boosting the performance and capabilities of the Spike-By-Spike model. Furthermore, you would also work on combining Spike-By-Spike networks with non spiking deep neuronal networks into hybrid models. Details can be found at https://www.neuro.uni-bremen.de/drupal/open-position-sbs *Requirements:* Ideal candidates have a master's or doctorate degree in Computational Neurosciences, Physics, Computer Sciences or in related fields. They must have a strong background in mathematics, programming (preferably in Python/Matlab), and machine learning as well as an intense interest in neuroscience. An optimal candidate should not be afraid of cooperating with engineers, since this is a joint project with a focus on hardware development. Above all, he/she must have a strong motivation, a sense for responsibility, a distinct desire to learn, and the ability to proactively collaborate in an international research environment. Fluency in English is required (both written and spoken). The Theoretical Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities. The university is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. In case of equal personal aptitudes and qualification priority will be given to disabled persons. Please explicitly address each of the specified requirements in the application. Detailed instructions are described below. Please send your application documents (motivation letter, CV, copy of your degree certificates including high school, list of skills, awards, publications, contact details of two academic reference) until December 9th, 2022 by indicating the job id A326/22 to: University of Bremen FB1 Theoretical Neurophysics lab Secretary of Prof. Dr. Klaus Pawelzik Mrs Agnes Janßen Hochschulring 18, Cognium D-28359 Bremen Tel.: +49 421 218 62000 in electronic form in a summarized PDF file via e-mail: ajanssen(a)neuro.uni-bremen.de. For questions of the research project please contact: Prof. Dr. Klaus Pawelzik, E-Mail: pawelzik(a)neuro.uni-bremen.de See also for general information on this topic: http://www.neuro.uni-bremen.de/content/open-position-sbs _Detailed instructions for applicants_ Your application must comprise: *Motivation letter* Your 1-2 page essay should reply the following questions: • What is your background? In which fields have you worked before and how do you think this can be useful for the present job? • What attracts you to the field of computational neuroscience? • Which problem(s) in computational neuroscience are you most interested in? • What is your motivation to join our project? • What are your plans for your future career? * * ** *Curriculum Vitae* Send a classical tabular CV with your contact details, and all stages of education and employment. *List of skills, awards, publications* List your skills, especially proficiency in languages (including the level of proficiency), that you think might be useful for the job. Also list awards you might have got and peer-reviewed papers, in case there are some. *Contact details of two academic references* One of the references should be your MSc advisor. Please contact the references prior to listing their names so that they are not surprised if they get contacted. Your application can be in English or German, whatever language you are more familiar with. -- *Dr. David Rotermund* *University of Bremen* Institute for Theoretical Physics Faculty 01 Physics/Electrical Engineering Hochschulring 18, D-28359 Bremen Cognium, room 2450 Tel. +49 421 218-62003 Fax +49 421 218-62014 davrot(a)neuro.uni-bremen.de www.neuro.uni-bremen.de <https://www.neuro.uni-bremen.de> www.isee.uni-bremen.de <https://www.isee.uni-bremen.de>

Nov. 28, 2022

Postdoc position - Computational neuroscience - Cheng Lab

by Vinita Samarasinghe

*Postdoctoral Position in Computational Neuroscience at the Institute for Neural Computation, Faculty of Computer Science* Prof. Sen Cheng, Institute for Neural Computation, Faculty of Computer Science at the Ruhr University Bochum, invites applications for a full time (currently 39.83 hours/week) *Postdoctoral position (TV-L E13) in Computational Neuroscience. * The position starts as soon as possibleand is funded until 30.06.2025. *Job description* The position is part of the Collaborative Research Center “Extinction Learning” (SFB 1280) and studies the principles underlying spatial learning and its extinction with reinforcement learning models. A particular focus is the role of episodic-like memory in learning and extinction processes. The research group is highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. For further information see www.rub.de/cns <http://www.rub.de/cns>. *Your Profile: * Candidates must have * a doctorate degreein neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field, * relevant experience in mathematical modeling, * excellent programming skills (e.g., Python, C/C++, Matlab), * excellent communication skills in English * the ability to work well in a team. Research experience in neuroscience would be a further asset. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts and research statement electronically, as a *single PDF file*, to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de>. In addition, at least two academic references mustbe sent independently to the above email address. The deadline for applications is December 31^st , 2022. Travel costs for interviews will not be reimbursed. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to networkwith them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe, samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

Nov. 25, 2022

Postdoc and PhD positions in the area of predictive coding

by Christopher Laurie Buckley

Hi all, We are looking to recruit PhDs and a postdoc in the area of predictive coding. We are recruiting for the specific project below but there are various other sources of funding too. A postdoc and a PhD position are available at the University of Sussex between my own group and the group of Prof. Anil K Seth (Department of Informatics and Centre for Consciousness Science) on the EU-funded project entitled “A metapredictive model of synthetic awareness for enabling tool invention”. The project is a ground-breaking international and multidisciplinary project that aims at developing a novel computational model of cognition based on the predictive processing of metacognition and validating its utility in real robots in the context of conditional sequential tasks, operationalised by tool use, as well as by the novel challenge of tool creation. This will suit those interested in predictive processing and generally work at the intersection of cognitive science and ML. To apply for the postdoc please see, https://www.sussex.ac.uk/about/jobs/research-fel-in-computational-cognitiv-… The closing date is 9th December 2022. For the PhD positions, and all informal inquiries. please contact c.l.buckley(a)sussex.ac.uk <mailto:c.l.buckley@sussex.ac.uk>.

Nov. 25, 2022

2 year Post-Doc in Brain Criticality at the University of Padova

by Samir Suweis

2 year Post-Doc in Brain Criticality at the University of Padova The groups of Judit Gervain <https://sites.google.com/site/juditgervain/?pli=1> and Samir Suweis <http://www.liphlab.com/> are recruiting a talented young postdoctoral researcher to participate in a project that is at the intersection of mathematics, physics, and neuroscience in the general area of brain criticality. In particular, the project will investigate how efficient learning during critical or sensitive periods early in life may be modelled. It will combine the theory of criticality in statistical physics with developmental cognitive neuroscience to offer a new model of perceptual attunement to the native language during the first year of life. The ideal candidate will have a quantitative background (e.g. PhD in mathematics, physics, computer science) along with (preferable but not mandatory) experience in applying this background to neuroscience. The post doc will join the Department of Developmental and Social Psychology, The Department of Physics and the Padova Neuroscience Center and live in highly active, stimulating interdisciplinary environment at the University of Padova, one of the most prestigious universities in Italy. The position is open immediately with primary location in Padova, a nice small university town near Venice. Ideally, the starting date is between January-April 2023, unless otherwise agreed. The position is funded for two years. Interested candidates should contact Prof. Samir Suweis (samir.suweis(a)unipd.it <mailto:samir.suweis@unipd.it>) and Prof Judit Gervain (judit.gervain(a)unipd.it <mailto:judit.gervain@unipd.it>).We strive for a diverse and inclusive environment, and encourage applications from members of any identity. Sorry for cross posting, please forward to who may be interested. Best Samir - - - - - - - - Associate Professor, LIPh Lab - www.liphlab.com <http://www.liphlab.com/>, Physics & Astronomy Dept. Padova Neuroscience Center University of Padova Tel: +39 049 827 71 74 @SamirSuweis https://suweis.github.io/ <https://suweis.github.io/> Why don't you join the next generation publishing experiment with "Peer Community In" - publish and read at no cost and inject more money into research! Check us out @ https://peercommunityin.org <https://peercommunityin.org/> https://youtu.be/4PZhpnc8wwo <https://youtu.be/4PZhpnc8wwo> @PeerCommunityIn

Nov. 25, 2022

4-year postdoc in “Insect-Inspired depth perception” at Edinburgh

by Barbara Webb

A postdoctoral research associate position is available to undertake computational and physical modelling studies to translate insect visual depth perception to robot systems, under the direction of Professor Barbara Webb, in the School of Informatics at the University of Edinburgh. The project will focus on newly discovered forms of retinal and receptor motion in the insect compound eye that could enable near-field high-resolution stereo vision. The key outcome would be the design of a compact, low power visual sensor, and associated processing algorithms, which is particularly suited to distinguish the 3D shape of small nearby objects. The work will be carried out in close collaboration with neurobiologists at the University of Sheffield. The position is available for 48 months starting in February 2023, and has a salary range of £35,333 - £42,155 per annum. Candidates are expected to have a PhD in a relevant area and a strong background in computational modelling, ideally of neural circuits for perception, with a track record of good journal publications. The candidate is also expected to have good system engineering skills, including experience in design, construction and testing of hardware systems. Informal enquiries can be directed to: Professor Barbara Webb (B.Webb(a)ed.ac.uk) Further information and application details are available here: https://edin.ac/3VGuxmX The closing date for applications is 21 December 2022 The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

Nov. 24, 2022

Postdoctoral position at Bern Hospital and University of Geneva

by Timothée Proix

A postdoc position is available under the shared supervision of Prof. Maxime Baud (https://www.neuro-elab.com/) a neurologist and experimental neuroscientist at Inselspital, Bern Switzerland and Dr. Timothée Proix (https://ndlab.ch/) a computational neuroscientist at the University of Geneva, Switzerland who both specialize in quantitative neuroscience research. Together, we are running a three-year clinical trial involving patients with epilepsy who received a minimally invasive EEG device beneath the scalp for the chronic recording (months) of brain signals during wake and sleep. To help with the analysis of massive amounts of EEG data, we are looking to hire a passionate postdoc with desire to build forecasting algorithms aiming at estimating the risk of seizures 24 hours in advance. *Start of project early 2023 **(Quarter 1)*, at the University of Bern. Yearly, renewable contract with Swiss salary in compliance with guidelines of the University. Required qualifications • Applicant should hold a PhD in any engineering field, physics, or neuroscience and have published scientific literature as a first author. • Strong abilities in computer programming (Matlab and/or Python) • Prior experience with machine learning methods, signal analysis and advanced data analysis techniques applied to neural timeseries (EEG > fMRI). • Strong interpersonal communication skills in English and good written English Preferred qualifications • Hands-on experience in human electrophysiology recordings is a significant advantage. • Experience with deep-learning, machine-learning or statistical model development Your tasks • Acquire domain knowledge in epileptology and sleep physiology • The project lies at the interface between machine learning and EEG data analysis. • The *goal of the project* is to develop *machine learning algorithms* to *forecast seizures*. To apply, please send a one-page motivation letter dedicated to this specific project, your up-to-date CV, and contact information for 2-3 references, as well as any other relevant documents to the Prof. Maxime Baud (maxime.baud.neuro (at) gmail.com) as well as Dr. Timothée Proix (timothee.proix (at) unige.ch). Screening of applications will start by November 2022 and will continue until the position is filled.

Nov. 23, 2022

Postdoctoral Positions at the University of Calgary

by Wilten Nicola

*Postdoctoral Position 1* We are currently looking for a postdoctoral researcher for a 2 year position in commercializing spiking neural network/neuromorphic technologies. This is a joint postdoc with Dr. Wilten Nicola and Dr. Aaron Gruber. The ideal postdoctoral researcher will have a strong background in hardware and software engineering, specifically with Field Programmable Gate Arrays or other neuromorphic-like platforms capable of spiking network emulation. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, a brief statement of research interests, and their possible start dates in PDF format to Dr. Wilten Nicola at wilten.nicola(a)ucalgary.ca. Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin immediately and continue until the position is filled. For additional information and informal inquiries, please contact Dr. Nicola. *Postdoctoral Position 2* We are currently looking for a postdoctoral researcher for a 2 year position investigating how networks of neurons can learn to create abstraction and semantic definitions from a few stimuli. In short, how do networks of neurons learn and know how to generalize in a meaningful way? The ideal postdoctoral researcher will have a PhD in mathematics, physics or engineering and will have extensive experience in working with feedforward or recurrent neural networks, either artificial or spiking. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, a brief statement of research interests, and their possible start dates in PDF format to Dr. Wilten Nicola. Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin immediately and continue until this position is filled. For additional information and informal inquiries, please contact Dr. Nicola at wilten.nicola(a)ucalgary.ca. https://www.nicolacomputationalneurosciencelab.com/ The University of Calgary is a global intellectual hub located in Canada’s most enterprising city. In our spirited, high-quality learning environment, students thrive in programs made rich by research, hands-on experiences and entrepreneurial thinking. Our strategy drives us to be recognized as one of Canada’s top five research universities, engaging the communities we both serve and lead. This strategy is called Eyes High, inspired by the university's Gaelic motto, which translates as 'I will lift up my eyes.' For more information, visit ucalgary.ca/eyeshigh.

Nov. 23, 2022

[jobs] Lecturer / Senior Lecturer in Artificial Intelligence and Robotics

by Di Nuovo, Alessandro

The Computing Department as Sheffield Hallam is seeking an outstanding individual who can make a strong academic contribution to the area of artificial intelligence and robotics. Lecturer / Senior Lecturer in Artificial Intelligence and Robotics at Sheffield Hallam University (jobs.ac.uk)<https://www.jobs.ac.uk/job/CUW183/lecturer-senior-lecturer-in-artificial-in…> You will join a large Computing Department that is engaged in both teaching and research. Within the Department, there is a group of colleagues who are dedicated to the teaching and research of artificial intelligence and robotics. You will join this group and be expected to play a key role in delivering both teaching and research. The Department has recently approved a new masters course in artificial intelligence (MSc AI) and you will be directly involved in the teaching of this. MSc AI forms the foundation of the teaching within the artificial intelligence group, and it has been designed to cover a wide spectrum of artificial intelligence topics. Prior teaching experience is essential, and you will be expected to develop exciting and engaging teaching materials, deliver lectures and tutorials in a vibrant manner and assess students. In addition, you will join the Smart Interactive Technologies (SIT) research laboratory, a vibrant interdisciplinary group, led by Prof. Alessandro Di Nuovo, that has a focus on Artificial Intelligence and Robotics. The laboratory hosts several prestigious research projects worth over £1 million funding from the European Union, for the European Training Network on PErsonalized Robotics as SErvice Oriented applications, and the EPSRC, for the projects ALDENS: Autonomous Learning and Development in Embodied Neuromorphic Systems, on embodied neuromorphic artificial intelligence, I'M-ACTIVE Intelligent Multimodal Assessment and Coaching Through Identification of Vulnerabilities in older people and the NetworkPlus EMERGENCE: Tackling Frailty - Facilitating the Emergence of Healthcare Robots from Labs into Service. The research laboratory is partner of Sheffield Robotics, a collaboration between the University of Sheffield and Sheffield Hallam University, which is one of the leading international groups in intelligent systems and robotics and which has received considerable investment in equipment as well as in facilities and staff at both Universities, including state-of-the-art robotics equipment such as the iCub, the Care-o-bot 4, and the Fetch Mobile Manipulator, plus many other robotic platforms like the humanoids Tiago, Pepper and NAO. You must hold a PhD (or equivalent) in a relevant subject; possess excellent communication skills, and an excellent research record and reputation, including publications of the highest quality suitable for submission to the REF (UK Research Excellence Framework). Experience of managing large research projects and contributing to external funding applications would be desirable. We welcome applications from people with strong backgrounds in artificial intelligence and robotics, and experience of programming in Python, C++, and ROS. Alessandro Di Nuovo, PhD Professor of Machine Intelligence Leader of Technological and Digital Innovations, Advanced Wellbeing Research Centre College of Business, Technology and Engineering Sheffield Hallam University, United Kingdom Email: a.dinuovo(a)shu.ac.uk<mailto:a.dinuovo@shu.ac.uk>

Nov. 22, 2022

PhD Program in Brain & Cognitive Science at the University of Rochester

by Haefner, Ralf

The Department for Brain & Cognitive Sciences at the University of Rochester is inviting applications for its PhD program. We seek exceptional students from a broad range of backgrounds with a strong interest in understanding the neural and computational basis of perception, cognition and action using experimental and theoretical approaches. Application Deadline: December 4, 2022, strongly encouraged but late applications accepted Start Date: July or September 2023. Application Details & Link: http://www.sas.rochester.edu/bcs/graduate/admission.html Program Info: http://www.sas.rochester.edu/bcs/graduate/curriculum.html. We especially encourage applications from minority and/or underrepresented students. The BCS department<http://www.sas.rochester.edu/bcs/> is one of the leading places of research in Brain & Cognitive Sciences and at the center of a vibrant and supportive scientific community. It has particularly strong ties to the Center of Visual Science<https://www.cvs.rochester.edu>, the Department for Neuroscience<https://www.urmc.rochester.edu/neuroscience.aspx>, the Department for Computer Science<https://www.cs.rochester.edu>, the Department for Linguistics<http://www.sas.rochester.edu/lin/>, and the Data Science Institute<https://www.sas.rochester.edu/dsc/>. PhD students with interdisciplinary research programs are eligible for joint PhD degrees with several departments. Every admitted PhD student is guaranteed 5 years of funding at currently ~$31.5k/yr (currently equivalent to ~120% NIH rate) which affords a good standard of living in an inexpensive city. We also provide a single plan UR health insurance, full tuition scholarship, paid family leave, and enduring NY State social protections. Both University and city are exceptionally LGBTQIA+ friendly. We believe that being a successful scientist requires not just dedication and supportive mentorship, but also a good work/life balance and the ability to explore one's passions both within and outside the lab. There are lots of ways to enjoy your time here: world-class symphony, museums, and a wide range of outdoor activities: several parks within cycling distance, 20 min by car to sandy beaches on Lake Ontario, 1h to Finger Lakes / wine country / skiing, 3h to great hiking in the Adirondacks. We also have a balanced 4 season climate with weather for every occasion: Lilac Festival in the spring, beautiful sunny summers (<10 days above 90 degrees), gorgeous fall foliage, and guaranteed snow in the winter. More info here: https://www.visitrochester.com. If you have any questions, please don’t hesitate to reach out to our beloved program administrator Kathy Corser<mailto:kcorser@ur.rochester.edu> or to any of our PIs directly.

Nov. 22, 2022

Open Rank Faculty Position at the Gatsby Unit, UCL

by Lin, I-Chun

Open Rank Faculty Position in Theoretical Neuroscience or Machine Learning at the Gatsby Unit Closing date: 6 December 2022 The Gatsby Unit seeks to appoint a new principal investigator with an outstanding record of research achievement and an innovative research programme in theoretical neuroscience or machine learning at any academic rank. In theoretical neuroscience, we are particularly interested in candidates who focus on the mathematical underpinnings of adaptive intelligent behaviour in animals, or develop mathematical tools and models to understand how neural circuits and systems function. In machine learning, we seek candidates who focus on the mathematical foundations of learning from data and experience, addressing fundamental questions in probabilistic or statistical machine learning and understanding; areas of particular interest include generative or probabilistic modelling, causal discovery, reinforcement learning, theory of deep learning, and links between these areas and neuroscience or cognitive science. The unit offers internationally competitive salaries and an award-winning work environment. Our staff are entitled to UCL's wide range of staff benefits, including family-friendly policies. We particularly encourage applications from candidates from groups, including women and those from an ethnic minority background, who are likely to be under-represented in UCL’s workforce in this type of role. For more information on the role and how to apply, please visit https://www.ucl.ac.uk/gatsby/vacancies About the unit: Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for both theoretical neuroscience and machine learning. We share a purpose-built home with the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC). Our close connection with the SWC offers an unparalleled opportunity for theorists and experimentalists to work together towards understanding computation in neural systems. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL www.ucl.ac.uk/gatsby | @GatsbyUCL

Nov. 22, 2022

Lab Manager position (Tübingen - Germany) [Deadline 11 Dec 2023]

by Susan Fischer

(Apologies for cross-posting) The newly established W3 professorship “Computational Psychiatry” at the Dept. of Psychiatry and Psychotherapy, University Tübingen is offering a position for a Lab Manager (m/f/d; 50-100%, 1+ years) starting in January 2023 or at earliest convenience. The position is initially limited to 1 year with the possibility of a further extension. Background: The newly established W3 professorship “Computational Psychiatry” focuses on understanding the neural and computational mechanisms underlying psychiatric disorders, such as obsessive-compulsive disorder, and predicting disorder trajectories using computational modelling, neuroimaging, pharmacology and smartphone-based data collection in clinical and non-clinical populations. This position is suited for aspiring researchers with an MSc in psychology, cognitive science, or similar and is ideal for an ambitious person that wants to gain experience in cognitive neuroscience and computational psychiatry research. This position will allow the candidate to gain experience with conducting research with vulnerable populations and using cutting-edge computational psychiatry methods. Responsibilities: Involvement in the day-to-day running of the lab Assistance with conducting studies, e.g. piloting of studies, equipment setup and maintenance, and data collection (behavioural, neuroimaging, smartphone-based) Assistance with patient recruitment and support for clinical studies Assistance with coding experiments and analyses pipelines Support professor with administrative tasks and lab management: Support with Ethics applications Implementation and communication of general lab and safety regulations File and document management (e.g., preparatory work for the reimbursement of travel expenses) Organisation of higher-level laboratory management tasks (e.g. purchasing of equipment, inventory) Qualifications: Essential: This position is suited for aspiring researchers with an MSc in psychology, cognitive science, neuroscience, or similar Good organization skills and self-motivation Experience with conducting cognitive (neuro-)science / psychological research with human participants A strong interest in cognitive neuroscience and computational psychiatry and good understanding of the relevant literature Good command of the German language Desirable: Experience with conducting research in vulnerable populations, such as children and/or psychiatric patients Solid programming skills (Matlab, Python) Experience with neuroimaging and/or computational modelling would be ideal What we offer: We offer a unique lab manager position based at the Dept. for Psychiatry and Psychotherapy, University Hospital of Tübingen. The position is funded by an Alexander-von-Humboldt-Professorship award. We offer remuneration in accordance with TV-L (collective wage agreement for the Public Service of the German Federal States) in addition to all the customary benefits granted to employees working in Public Services. The candidate will gain insight into the process of academic research, and it will be a great stepping stone towards an independent research career. The position will be linked to the new German Centre for Mental Health and there is ample opportunity for interacting with collaborators locally, nationally and internationally. About Tübingen: Tübingen is a scenic university town on the Neckar River in South-Western Germany. The quality of life is exceptionally high and the atmosphere is diverse, inclusive, and most locals speak English. Tübingen offers excellent research opportunities due to the University, four Max Planck Institutes, the University Hospital, and Europe’s largest AI research consortium. You can find out more about Tübingen here: https://www.tuebingen.de/en/ How to apply: If you are interested in the position, please get in touch with Susan Fischer via email (susan.fischer(a)tue.mpg.de) enclosing your CV. For formal applications, please send a motivation letter, your CV, and the contact information of two referees as a single PDF to Susan Fischer. The University of Tübingen is an equal opportunities employer. Severely handicapped persons with equal qualifications are given preferential consideration. Applications of qualified women academics are thus especially encouraged; applications of disabled persons will be given preferential treatment to those of other candidates with equal qualifications. Please note the applicable vaccination regulations. The employment will be arranged by the central administration of the University of Tübingen. Preference will be given to applications received by 11 December, 2022, but applications might be considered thereafter until the position is filled. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan Eberhard Karls Universität Tübingen & Max Planck Institute for Biological Cybernetics AI Research Building R 20-7/A21 Maria-von-Linden-Str. 6 72076 Tübingen Germany susan.fischer(a)tue.mpg.de ************************************************

Nov. 21, 2022

PhD student position in computational neuromechanical modeling, at EPFL, Lausanne, Switzerland

by Auke Ijspeert

*PhD student position in computational neuromechanical modeling * The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/) at EPFL (Lausanne, Switzerland) has one open *PhD student position* in *computational neuromechanical modeling*. The position is part of the ERC Synergy Salamandra project that started in September 2021, together with Prof. Andras Simon (KI Sweden) and Prof. Dimitri Ryczko (U. Sherbrooke, Canada). See some info here: https://actu.epfl.ch/news/salamanders-provide-a-model-for-spinal-cord-rege-… The goals of the position are (i) to develop numerical models of the musculoskeletal system of the salamander (and other related animals), (ii) to develop models of the physical interactions of the simulated bodies with water and ground environments, and (iii) to simulate neurons that relay proprio- and exteroception to locomotor circuits (together with computational neuroscientists in the team). The positions are fully funded for 4 years. EPFL is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. *Requirements:* Candidates need to have a Master degree in a field related to computational modeling and physics-based simulations, e.g. in computer science, mechanical engineering, or physics. The ideal candidate for this position should have a strong numerical modeling background, good programming skills, good math background (e.g. in dynamical systems), and interest in animal and robot locomotion. *How to apply for the position:* Step 1: The position is only open to applicants who have been accepted by the EPFL doctoral school (see http://phd.epfl.ch/) The first step is therefore to fill the applications for one of the relevant EPFL doctoral programs (e.g. robotics or computer science). Step 2: In parallel to step 1, or once accepted by one of the doctoral programs (please specify which doctoral program and the date of acceptance), the application to the position should be sent by email to Prof. Auke Ijspeert and consist of a motivation letter (explaining why you are interested in the project, and why you feel qualified for it) and a copy of the doctoral program application. Informal inquiries about the relevance of an application can be sent to auke.ijspeert(a)epfl.ch (e.g. before or while submitting an application to the doctoral school), but responses can be slow because of a heavy schedule and a filled mail box. *Deadline and starting date: **The ideal starting date is September 2023* (with some flexibility). Applications will be considered starting *from December 2022*, and then continuously until the positions are filled. *Contact: *Information concerning the type of research carried out by the lab can be found at https://www.epfl.ch/labs/biorob/ . You should send your application and any inquiry by email to: auke.ijspeert(a)epfl.ch -- ----------------------------------------------------------------- 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 -----------------------------------------------------------------

Nov. 20, 2022

COSYNE 2023: Abstract submission closes soon

by Tomas Hromadka

==================================================== Computational and Systems Neuroscience 2023 (Cosyne) MAIN MEETING 09 - 12 March 2023 Montreal WORKSHOPS 13 - 14 March 2023 Mont-Tremblant www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Abstract submission deadline: 23 November 2022, 11:59PM PST ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 23 November 2022. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. See Cosyne.org -> Abstracts -> Abstract submission for details on how to submit an abstract to Cosyne. ORGANIZING COMMITTEE General Chairs: Laura Busse (LMU Munich) and Tim Vogels (IST Austria) Program Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Workshop Chairs: Anna Schapiro (U Penn) and Andrew Saxe (Oxford) Tutorial Chair: Kanaka Rajan (Mount Sinai) DEIA Committee: Hysell Oviedo (CUNY) and Aman Saleem (UCL) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Sashank Pisupati (Princeton) Fundraising Chair: Michael Long (NYU) Social Media Chair: Grace Lindsay (Columbia) Audio-Video Media Chair: Carlos Stein Brito (EPFL) Poster Design: Xaq Pitkow (Rice) PROGRAM COMMITTEE Jessica Cardin (Yale) Co-chair Blake Richards (McGill) Co-chair Yashar Ahmadian (Cambridge) Mark Andermann (Harvard) Omri Barak (Technion) Brice Bathellier (Paris) Yoram Burak (Hebrew University) Johannes Burge (U Penn) Chandramouli Chandrasekaran (Boston U) SueYeon Chung (Columbia) Jeremiah Cohen (Allen Inst) Anne Collins (Berkeley) Christine Constantinople (NYU) Carina Curto (Penn State) Jan Drugowitsch (Harvard) Tatiana Engel (CSHL) Sean Escola (Columbia) Annegret Falkner (Princeton) Kevin Franks (Duke) Rainer Friedrich (FMI Basel) Andrea Hasenstaub (UCSF) Monika Jadi (Yale) Santiago Jaramillo (U Oregon) Kohitij Kar (MIT) Narayanan Kasthuri (U Chicago) Jens Kremkow (Berlin) Guillaume Lajoie (MILA) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Mackenzie Mathis (EPFL) Paul Miller (Brandeis) Ida Momennejad (Microsoft) Eilif Muller (U Montreal) Marieke Mur (Western U) Kathy Nagel (NYU) Daniel O'Connor (Johns Hopkins) Hysell Oviedo (CUNY) Il Memming Park (Stony Brook) Joseph Paton (Champalimaud) Adrien Peyrache (McGill) Xaq Pitkow (Rice) Kanaka Rajan (Mount Sinai) Nathalie Rochefort (Edinburgh) Aman Saleem (UCL) Cristina Savin (NYU) Tatyana Sharpee (Salk) Aparna Suvrathan (McGill) Saori Tanaka (ATR) Daniela Vallentin (MPI Ornithology) Melissa Warden (Cornell) Brad Wyble (U Penn) Marta Zlatic (Cambridge) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) Anne-Marie Oswald (U Chicago) CONTACT meeting [at] cosyne.org Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details.

Nov. 18, 2022

PhD & Postdoc positions at Bocconi University, Milan (IT)

by Alessandro Sanzeni

Hi all, PhD and Postdoctoral positions are open in computational neurosciences at Bocconi University (Milan, Italy). Research topics include: how movement modulates neural responses to visual stimuli; integrating connectomes in mechanistic models of brain functions; building normative models of neural representations. Approaches from statistical physics, nonlinear dynamics and machine learning will be used, and models will be constrained by new electrophysiological and connectomic data. Prior experience with computational neuroscience is a plus, but it is not required. Positions will be part of the vibrant community at Bocconi University, which includes researchers working in neuroscience, machine learning, computer science and statistics (a complete list of researchers can be found in the websites of the Department of Computing Sciences <https://cs.unibocconi.eu/>, Decision Sciences <https://dec.unibocconi.eu/> and the BIDSA <https://bidsa.unibocconi.eu/>). Bocconi University is committed to building a diverse intellectual community (a detailed strategic plan can be found at this link <https://www.unibocconi.eu/wps/wcm/connect/bocconi/sitopubblico_en/navigatio…>) and we particularly encourage members of underrepresented groups to apply to these positions. Application deadline for PhD students is February 1st, 2023. Postdoctoral application reviews will start on Dec. 1st and will continue until positions are filled; the ideal starting date is before June 2023. Candidates should send their CV and a brief cover letter to: alessandro.sanzeni(a)unibocconi.it <mailto:alessandro.sanzeni@unibocconi.it> All the best, Alessandro Sanzeni

Nov. 18, 2022

Postdoc + PhD positions in Constantin Rothkopf's lab in ERC funded project ACTOR

by Constantin Rothkopf

One postdoc and one PhD position are available in the lab of Constantin Rothkopf at the Centre for Cognitive Science @ TU Darmstadt as part of the ERC project ACTOR. The goal of this project is to use both human behavioral experiments and computational modeling to understand human sequential behavior in tasks ranging from continuous psychophysics to navigation and food preparation in the framework of sequential decision making/planning/optimal control/RL. To get a better idea, here some work from our group related to this project: - F. Kessler, J. Frankenstein, C. A Rothkopf. A dynamic Bayesian actor model explains endpoint variability in homing tasks, bioRxiv, 2022. https://www.biorxiv.org/content/10.1101/2022.11.09.515854v1 - Straub, D., & Rothkopf, C. A. (2022). Putting perception into action with inverse optimal control for continuous psychophysics, eLife 11, e76635. https://elifesciences.org/articles/76635 - Schultheis, M., Straub, D., & Rothkopf, C. A. (2021). Inverse optimal control adapted to the noise characteristics of the human sensorimotor system. Advances in Neural Information Processing Systems, 34, 9429-9442. https://proceedings.neurips.cc/paper/2021/hash/4e55139e019a58e0084f194f758f… - Neupärtl, N., Tatai, F., & Rothkopf, C. A. (2020). Intuitive physical reasoning about objects’ masses transfers to a visuomotor decision task consistent with Newtonian physics. PLoS computational biology, 16(10), e1007730. https://doi.org/10.1371/journal.pcbi.1007730 - Hoppe, D., & Rothkopf, C. A. (2019). Multi-step planning of eye movements in visual search. Scientific reports, 9(1), 1-12. https://doi.org/10.1038/s41598-018-37536-0 - Hoppe, D., & Rothkopf, C. A. (2016). Learning rational temporal eye movement strategies. Proceedings of the National Academy of Sciences, 113(29), 8332-8337. https://doi.org/10.1073/pnas.1601305113 Our group is part of the Centre for Cognitive Science and the AI Center at TU Darmstadt, which are home to a an internationally outstanding group of PIs and junior researchers working in the areas of computational cognitive science, machine learning, and artificial intelligence. We are part of several research consortia and engage in several fruitful research collaborations. The lab has state of the art equipment for eye and body tracking, VR, naturalistic task monitoring, psychophysics and access to one of the most generous computing infrastructures in Germany. The Frankfurt-Darmstadt metropolitan area is located in the heart of Europe and is one of the most international regions in Germany with a diverse community and rich culture repeatedly earning high rankings in worldwide surveys of quality of living. Frankfurt just recently reached 7th place worldwide in a ranking by the Economist and Darmstadt has repeatedly ranked among the top innovation driving cities in Germany. While some of the positions within this ERC are geared towards more behavioral work others are strongly focused on computational modeling. Applicants may therefore have a background in computer science, cognitive science, neuroscience, psychology, engineering, or related fields. Don’t hesitate to contact me for more details. Please send the official application to the dean of the of the department of human sciences dekanat(a)humanw.tu-darmstadt.de including a CV, a two page summary of your past research experience and current research interests, and contact information for 2-3 references in a single pdf file. The code for the PhD position is “721” and the code for the Postdoc position is “722”. Official advertisements are linked at the end of this post. The positions can be filled starting in December. Applications will be reviewed on a continuing basis. All the best, Constantin Rothkopf https://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ https://hessian.ai/ Official ads: https://www.tu-darmstadt.de/universitaet/karriere_an_der_tu/stellenangebote… https://www.tu-darmstadt.de/universitaet/karriere_an_der_tu/stellenangebote…

Nov. 17, 2022

PhD & Postdoc at University of Lyon1, FR

by DI VOLO MATTEO

PhD and Postdoctoral positions are open in computational neurosciences at the University of Lyon1, in the Stem and Brain Research Institute (https://sbri.fr/) The project aims at understanding the cellular and circuit mechanisms responsible for cognitive functions, combining computational and theoretical aspects of neural modeling as well as analyses of electrophysiological data. Further details at https://euraxess.ec.europa.eu/jobs/865006. The positions are available starting immediately. Candidates should send their CV and a brief cover letter to Matteo di Volo: matteo.divolo(a)univ.lyon1.fr

Nov. 17, 2022

Assistant Professor position in Cognitive Sciences at UC Irvine

by Jeffrey L Krichmar

Dear Comp-Neuro colleagues, The Department of Cognitive Sciences at the University of California, Irvine (UCI) invites applications for an assistant professor (tenure-track) position with an anticipated start date of July 1, 2023. We are seeking scientists who study human vision, with a particular interest in those who combine an empirical research program with innovative approaches in neuroscience and/or cutting-edge computational tools such as machine learning and AI. The successful candidate will establish a vital research program, and contribute to teaching, mentoring, and to inclusive excellence. They will interact with a dynamic and growing community in cognitive, computational, and neural sciences within the department (http://www.cogsci.uci.edu/) and the broader campus. Applicants should submit a cover letter, curriculum vitae, research and teaching statements, a statement describing past or potential contributions to diversity, equity, and inclusion, three recent or relevant publications, and the names and contact information of three references. The application requirements along with the online application can be found at: https://recruit.ap.uci.edu/JPF07912. To ensure full consideration, applications must be completed by December 15, 2022. The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

Nov. 17, 2022

PhD Positions in Visual Cognition & Computational Neuroscience

by Marius Catalin Iordan

The lab of Dr. Marius Cătălin Iordan at the University of Rochester (Depts. of Brain & Cognitive Sciences and Neuroscience) is recruiting 1-2 PhD students interested in visual cognition + neuroscience and/or quantitative + computational methods applied to human neuroimaging. Apply by December 4 for a Fall 2023 start date. Our lab studies how the human brain organizes conceptual information into categories, events, and stories to understand and interact with our complex, noisy world. More details about our research can be found here: www.MariusCatalinIordan.com . Details re: position, application, compensation, benefits, & friendly lab culture below. PhD Program in Brain and Cognitive Sciences: Application Deadline: December 4, 2022. Start Date: September 2023. Application Details & Link: http://www.sas.rochester.edu/bcs/graduate/admission.html Program Info: http://www.sas.rochester.edu/bcs/graduate/curriculum.html. We especially encourage applications from minority and/or underrepresented students. Students with strong computational background & interests may be eligible for a joint PhD degree in Brain and Cognitive Sciences and Computer Science. Ideal candidates have psychology, neuroscience, and/or computer science research experience, as well as programming skills; computational methods and/or neuroimaging experience is a plus. However, strong evidence of passion & dedication for research may partly substitute for the above. In your personal statement, please describe your research contributions during current and past projects, as well as your computational / programming prowess. Also, please make sure to include 1-2 specific cognitive (neuro)science question(s) you would like to pursue in grad school. We look for students who can think clearly about which scientific questions are most important, which methods are best for answering those questions, and why they're passionate! Come work in a welcoming, inclusive, equitable, and friendly environment where you'll be supported and valued. We will train you to become an independent scientist and we'll provide support for achieving your own best path forward, whether in academia or industry. You'll join a growing community of interdisciplinary scientists and you'll have opportunities to collaborate with several communities and departments: Brain and Cognitive Sciences, Psychology, Neuroscience, Data Science, & Computer Science. You'll receive training in psychology & neuroscience, esp. cognition, as well as computational approaches, including machine learning and neural networks. Our lab also provides training opportunities in a cornucopia of techniques and methods, including fMRI, psychophysics, real-time neuroimaging, and neurofeedback. Collaboration opportunities are also available within the department for students interested in EEG and AR/VR. We'll also help you build and hone other valuable and marketable skills, such as teaching, leadership, mentoring, project management, & scientific communication. Your salary will afford you a good standard of living in an inexpensive city: ~$31.5k/yr (currently equiv. to ~120% NIH rate) or external/fellowship funding rate, whichever is higher. We also provide a single plan UR health insurance, full tuition scholarship, paid family leave, and enduring NY state social protections. We believe that being a successful scientist requires not just dedication and supportive mentorship, but also a good work/life balance and the ability to explore one's passions both within and outside the lab. There are lots of ways to enjoy your time here: world-class symphony, great culture and food, exceptionally LGBTQIA+ friendly University and city, 20 min to a sandy beach, 1h to Finger Lakes / wine country / skiing, 2h to great hiking in the Adirondacks. We also have a balanced 4 season climate with weather for every occasion: Lilac Festival in the spring, beautiful sunny summers (<10 days above 90 degrees), gorgeous fall foliage, and snowy holidays in the winter. More info here: https://www.visitrochester.com . If you have any questions or would like to request a waiver of the application fee ($30), please reach out to mci (at) rochester (dot) edu.

Nov. 16, 2022

Call for papers, Scientific Reports special issue: Biological modularity

by alireza valizadeh

Dear all, Sientific reports accepts papers for the collection "Biological Modularity". Please see below. https://www.nature.com/collections/bedecebdgf/how-to-submit Collection Biological modularity Submission statusOpen Submission deadline08 March 2023 Modularity has become a central concept in biological sciences, stemming from the notion that biological systems can be conceptualised as intricate networks, which in turn are often divided into sets of strongly interacting parts that are relatively autonomous with respect to each other. Modularity has strong evolutionary implications, and has been applied at various scales, from gene regulation and cell metabolism, to organism development, morphogenesis and functional anatomy, to neural circuits and behaviour, and species’ or whole community interactions. This Collection will bring together original research advancing our understanding of modularity, as well as its application in various biological fields, including multidisciplinary studies. --------------------------------------------------------------------- Alireza Valizadeh Professor Neurophysics lab, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran Tel:(+98) 24 3315 2120 Fax:(+98) 24 3315 2104 valizade(a)iasbs.ac.ir Web: http://www.iasbs.ac.ir/~valizade/index.html --------------------------------------------------------------------

Nov. 16, 2022

Tenure-track Assistant Professor in Computational Brain Science at Brown

by Michael J Frank

The Robert J. and Nancy D. Carney Institute for Brain Science <https://www.brown.edu/carney/> at Brown University invites applications from rising and established leaders in computational brain science for a tenure-track position at the Assistant Professor level. A transformative $100M gift to the Institute is catalyzing the growth and expansion of Carney faculty and research over the next decade, including to further research goals of the Center for Computational Brain Science <https://ccbs.carney.brown.edu/>. As part of this expansion, this search will consider applicants with expertise in computational neuroscience broadly construed and will result in an appointment with a tenure-track home in a Carney Institute-affiliated department (including physics, applied mathematics, computer science, neuroscience, and cognitive, linguistic and psychological sciences). The successful applicant will have an outstanding record of research and teaching that contributes to the mission of the candidate’s appropriate home department and the Carney Institute Center for Computational Brain Science. We are particularly interested in scholars who demonstrate commitment to promoting diversity and inclusion in the brain sciences. The Carney Institute promotes discovery and innovation in brain science by supporting a diverse community of experimentalists, theorists, engineers, and clinicians. With more than 180 affiliated faculty members in more than 20 academic and clinical units, the Carney Institute catalyzes research across the brain sciences, including in the neurobiology of cells and circuits, computational brain science, cognition and behavior, and neuroengineering and neurotechnology. We are a highly interactive community that values collaborative approaches to tackle major questions in brain science to benefit society. Quality of research and scholarship is central to reaching our goals and this depends on engaging talented scientists from across academia and embracing their contributions in a fully inclusive community. The Carney Institute’s strategic vision is aligned with Brown’s commitment to creating a more fully diverse and inclusive community, outlined in “Pathways to Diversity and Inclusion: An Action Plan for Brown University <https://www.brown.edu/about/administration/institutional-diversity/pathways> .” *Qualifications* Applicants must have a Ph.D. at the time of starting work. The start date can be anytime between July 1, 2023, and January 1, 2024. *Application Instructions* All candidates should submit: (1) a teaching statement; (2) a research statement; (3) a diversity and inclusion statement; (4) a curriculum vitae; (5) up to 5 publications; and (6) a cover letter describing their interest in the position (including the general field of research and potential departments of interest); (7) at least three letters of reference submitted before the application deadline. Letters of support should speak to the candidate’s potential as a scholar, colleague, mentor, and teacher. Inquiries about the position should be directed to carney-institute(a)brown.edu. Full consideration will be given to applications received by December 15, 2022; we will continue to accept applications until the position is filled. Brown is an equal opportunity/affirmative action employer, and members of underrepresented groups in brain science are strongly encouraged to apply. Apply at http://apply.interfolio.com/115307. *Equal Employment Opportunity Statement* *Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to and does not discriminate on the basis of, gender, race, protected veteran status, disability, or any other legally protected status.* Michael J Frank, PhD | Edgar L. Marston Professor Director, Carney Center for Computational Brain Science <https://www.brown.edu/carney/ccbs> Laboratory of Neural Computation and Cognition <https://www.lnccbrown.com/> Brown University website <http://ski.clps.brown.edu>

Nov. 16, 2022