November 2022 - Comp-neuro - lists.cnsorg.org

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