- Comp-neuro - lists.cnsorg.org

Software Engineer position for International Brain Laboratory

by Hannah M Bayer

The International Brain Laboratory SOFTWARE ENGINEER <https://academic.careers.columbia.edu/#/85586> will work closely with our scientists to develop and deploy software and electronic hardware for experiment control, collection, storage, and data analysis. The experiments make use of complex control systems including video, audio, and fluidics, the data are processed by sophisticated algorithms including GPU-based deep networks, and then transferred automatically to a central database. The successful candidate will interface with scientists in our member laboratories (located in London, Lisbon, Geneva, Paris, New York City, Long Island, Princeton, San Francisco, and Ashburn VA) and with the core software development team based in Lisbon, to support experiments and ensure data is of high quality. The ideal candidate would have extensive experience with Linux, Python, Arduino systems, electronics, team programming, quality assurance, web design, and system administration. A flexible attitude, the ability to quickly adapt to new situations and learn new systems, and to work independently as part of a geographically distributed team, are essential. Experience with scientific research, networking, parallel computing, or relational databases would also be desirable. As this is a distributed collaboration, the candidate should be prepared to travel to all partner sites, with a home base in Lisbon, London or New York. RESPONSIBILITIES: - To develop and support software and hardware to collect and analyse neurophysiology recordings at worldwide partner sites - To help apply these algorithms to petabyte-scale data, to draw scientific conclusions about brain function. - To support the use of the resulting algorithms and software by laboratory members and by the worldwide scientific community. - To write online documentation and help author scientific publications describing the algorithms and discoveries made with them. Any questions prior to applying, please contact info(a)internationalbrainlab.org To apply: https://academic.careers.columbia.edu/#/85586 -- Hannah M. Bayer, PhD Executive Director International Brain Laboratory

Nov. 29, 2021

SCGB Virtual Postdoc/Student Meeting: Wednesday, December 1 by Olivia Gozel

by Laura Long

The Simons Collaboration on the Global Brain (SCGB) hosts postdoc/student meetings to bring together trainees interested in neural coding and dynamics to discuss ideas and data. In addition to regional meetings in New York, Boston, and the Bay Area, SCGB holds a virtual series to connect systems and computational neuroscientists independent of geography. We would love to see you at our next meeting! Please see event details and the Zoom link below. SCGB Virtual Postdoc/Student Meeting: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-209… Wednesday, December 1st, 12pm Eastern Time https://simonsfoundation.zoom.us/j/94767192583?pwd=TXBKNXJQYzdGTmRUZTFlUUYz… Passcode: 429535 *Olivia Gozel* Postdoctoral Researcher, Doiron Laboratory The University of Chicago *Between-area communication through the lens of within-area neuronal dynamics* Neuronal dynamics range from asynchronous spiking to richly patterned spatio-temporal activity and are modulated by external and internal sources. Numerous experimental datasets show that the shared variability can be well described by a small number of latent variables, indicating coordinated trial-to-trial fluctuations within the population. Besides, cortical areas are connected through long-range excitatory projections, and it has been shown that there exists a communication subspace between connected but distinct brain areas that predicts spiking activity in a downstream area using upstream activity. However, little is known about the effect of neuronal dynamics on interactions between brain areas. Using a layered spiking network with within- and between-layer spatially structured connectivity, we show that pattern formation decreases within-area dimensionality similarly when spatio-temporal patterns emerge within a population or when they are inherited from a connected population. Yet, the fidelity of communication from an upstream to a downstream area, as estimated by a linear reduced-rank regression measure, is affected by the origin of pattern formation. Specifically, downstream activity is poorly predicted by upstream activity when spatio-temporal patterns emerge downstream, while it is particularly well predicted when shared fluctuations are mostly inherited from the upstream area. Interestingly, examination of spiking activity reveals that, even in the scenario with apparent disrupted communication, the downstream area is effectively driven by upstream activity, as expected from the strong feedforward connection strengths between layers. A mismatch in within-area dimensionality between upstream and downstream areas appears to underlie the seemingly weak communication. These results expose the limitations of linear measures when analyzing the flow of information in brain circuits with diverse neuronal dynamics. *Please note that this meeting is open to all neuroscience postdocs and PhD students, regardless of location or SCGB affiliation (sorry, no PIs). *After Q&A with the speaker, we will open breakout rooms for anyone interested in staying to chat, network, or further discuss the talk. In addition to these breakouts, SCGB Scientific Staff will be available for "office hours" to chat and answer questions about SCGB programs and support. Registration on EventBrite is encouraged but not required: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-209… Please contact Laura Long at llong(a)simonsfoundation.org with any questions.

Nov. 29, 2021

Post-doctoral position advertisement

by Zaghloul, Kareem (NIH/NINDS) [E]

Hi, I would like to post the following ad to the comp-neuro listserv. Would this be possible? I've attached a copy of the ad below. Thank you, Kareem Kareem A. Zaghloul, MD, PhD Surgical Neurology Branch National Institute of Neurological Disorders and Stroke, NIH Bldg 10, Rm. 3D20 10 Center Drive Bethesda, MD 20892-1414 O: 301-594-8114 F: 301-402-0380 Position Type Postdoctoral Position at the NIH Position Title Human memory and sequences of single unit spiking activity Position Description The National Institute of Neurological Disorders and Stroke is seeking a full-time post-doctoral position focused on understanding the neural correlates of human memory. This position involves studies focused on analyzing recordings of population spiking activity captured from the human cortex in awake participants with drug resistant epilepsy who are receiving intracranial EEG (iEEG) electrodes to monitor seizure activity. Single unit spiking activity from populations of neurons are captured through implanted microelectrode arrays. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human episodic memory formation and decision making. We are specifically seeking a candidate who has a strong interest in understanding neural coding as represented by sequences of single unit spiking activity in the human cortex. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at: zaghloulka(a)mail.nih.gov<mailto:zaghloulka@mail.nih.gov>. Employer Name Kareem A. Zaghloul, National Institute of Neurological Disorders and Stroke Position Location Bethesda, MD Disclaimer NIH, an agency of DHHS, is an equal opportunity employer. All employees are subject to background investigation. The NIH is dedicated to building a diverse community in its training and employment programs.

Nov. 29, 2021

Postdoctoral Researcher position at University of Göttingen, CIDBN, SPP 2205

by von Behren, Christina

Dear list, We would like to draw your attention to a postdoc opportunity at the Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN), University of Göttingen: The Department of Data-driven Analysis of Biological Networks at the Georg-August-Universität Göttingen invites applications for a position as Postdoctoral Researcher (f/m/d) This position is available starting from January 1st, 2022. It is a fulltime position and is fixed until 31.03.2024. Salary and working hours will be according to the German grade 13 TV-L (100%, currently 39.48 hours per week). The position will be associated with the group of Prof. Dr. Michael Wibral. We are recruiting a Postdoc for the interdisciplinary research project "Evolutionary Convergence of Hierarchical Information Processing" funded by the German Research Foundation (DFG) within the research initiative SPP 2205 "Evolutionary optimization of neuronal processing"<https://www.uni-goettingen.de/de/618311.html>. The project aims to establish the common information theoretic principles of computation in hierarchical neural systems that are conserved across species from drosophila, via rodents to primates and humans. We are looking for candidates with an excellent PhD/Master's Degree in neuroscience, cognitive science, physics, computer science or a related field who are committed to pursuing a career in research. The successful applicant will develop and apply novel information theoretic measures to electrophysiological neural recordings and calcium imaging signals to investigate signatures of predictive hierarchical information processing. The ideal candidate should have excellent skills in scientific writing, experience with the application of information theory to biological data, and should have demonstrated her/his ability to work independently. Prior experience with predictive coding theory and experiments are plus. Proven coding skills in a language relevant to data analysis (e.g. Python, Julia, R, Scala, Java), prior experience with research-data management systems (RDMS) are also considered as an advantage. We offer the opportunity to become a member of a vibrant community dedicated to innovative research and teaching at the frontier of the exact and biological sciences, and to connect to the latest developments in information theory, including partial information decompositions. The Göttingen Campus is a leading center of biophysics and neuroscience in Europe hosting numerous internationally renowned research institutions, including the University and its Medical Center, the three life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please submit your application in digital form only and send all relevant documents in one single PDF-document, including a letter of interest, your curriculum vitae with a list of publications, copies of your certificates and contact information of at least two references to Wibral_lab(a)uni-goettingen.de by December 13, 2021. If you have any questions, please contact Prof. Dr. Michael Wibral via e-mail: michael.wibral(a)uni-goettingen.de. [cid:image003.png@01D7E52F.C6D6F9C0] Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo Best Regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Centre for Computational Neuroscience Goettingen Heinrich-Düker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

Nov. 29, 2021

Postdoc vacancy in A-eye (AI, eye, MRI) at CHUV - Lausanne, Switzerland

by Benedetta Franceschiello

Dear Colleagues, Dr. Meritxell Bach Cuadra and I are looking for a postdoctoral researcher interested in the field of large-scale analysis of eye MRI (MReye) data with AI. Please find here attached the call and the link for postulating: https://recrutement.chuv.ch/vacancy/post-doctoral-position-on-deep-learning… Informal inquiries are welcome. Thank you very much, Kind regards, -- Benedetta Franceschiello, Ph.D. Research Scientist CIBM Center for Biomedical Imaging, EEG CHUV-UNIL Section LINE, Laboratory for Investigative Neurophysiology <https://www.unil.ch/line/en/home.html> Radiology Department, Lausanne University Hospital (CHUV) and University of Lausanne Tel: +41 787409774 Rue Centrale 7, CH-1003, Lausanne, Switzerland https://sites.google.com/view/benedettafranceschiello-phd/ I work flexibly - so whilst it suits me to email now, I do not expect a response or action outside of your own working hours.

Nov. 29, 2021

Positions in modeling at the Allen Institute

by Anton Arkhipov

Dear colleagues, We are hiring for multiple positions in bio-realistic modeling at the Allen Institute. Please apply soon! For example, see this Scientist position: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1770679<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Falleninst…> If you don’t have a PhD (perhaps just finishing a BS or MS degree?), we would love to hear from you too. Please contact me at antona(a)alleninstitute.org<mailto:antona@alleninstitute.org>. We are developing biologically realistic models of cortical circuits in the mouse brain at the level of a cortical area and the whole cortex. In collaboration with the group of Dr. Li-Huei Tsai at MIT, we investigate the cell type and circuit mechanisms of neuronal entrainment to periodic sensory stimulation at different frequencies. The project leverages the Allen Institute’s unique multi-modal data: https://portal.brain-map.org. Additional relevant resources and publications: * https://portal.brain-map.org/explore/models/mv1-all-layers<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fportal.br…> * https://portal.brain-map.org/explore/connectivity<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fportal.br…> * Iaccarino et al., Nature (2016); Adaikkan et al., Neuron (2019); Martorell et al., Cell (2019) The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for these roles. Best wishes, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org> brain-map.org

Nov. 29, 2021

Post-doc: biologically accurate computational models of thalamocortical circuitry

by Sean Hill

Are you Interested in thalamocortical circuitry and its functions? We are seeking an outstanding candidate for a fully-funded post-doctoral position at Blue Brain, EPFL - in Geneva, Switzerland - to develop biologically-accurate computational models of thalamocortical circuitry. Please follow the link for more details and to apply: https://recruiting.epfl.ch/Vacancies/1755/Description/2 CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

Nov. 25, 2021

Computational neuroscience graduate/postdoc positions at UMD

by Daniel A. Butts

The NeuroTheory Lab at University of Maryland (College Park) is recruiting graduate students and postdocs to work at the interface of systems-level neurophysiology and machine learning. The goal of our research is to understand how sensory neurons contribute to perception and behavior. Our premise is that such understanding necessarily involves interpreting large-scale recordings in sufficiently complex (“natural”) experimental contexts. We specialize in statistical modeling, which can directly test hypotheses about neural computations and their mechanistic underpinnings using large-scale neurophysiological recordings, in close collaboration with experimental labs. Information about current projects, as well as our recent work, can be found at: neurotheoryumd.github.io <http://neurotheoryumd.github.io/> We are interested in exceptional and highly motivated individuals with a quantitative background in physics, mathematics, engineering, or computer science. Applicants must also have working knowledge of systems/computational neuroscience, and be interested in pursuing this field. We encourage applications from members of under-represented groups. Our lab is set in the Biology Department in the spacious College Park campus in suburban Washington DC (accessible by metro), and also nearby to several collaborators at NIH. There are several graduate programs that we are affiliated with (primarily nacs.umd.edu <http://nacs.umd.edu/>) that have an application deadline of December 1. Please contact me if you are interested in applying to the lab as a graduate student or postdoc, with a CV and brief description of your interests and how they align. Dan Butts Associate Professor Department of Biology University of Maryland, College Park

Nov. 25, 2021

Doctoral position on causal inference and explainable AI at the University of Vienna

by Moritz Grosse-Wentrup

We have an opening for a doctoral position in the Neuroinformatics Group at the University of Vienna (https://ni.cs.univie.ac.at/) The project's goal is to develop causal inference methods that generate human-interpretable concepts for explainable AI. These methods will be applied in close collaboration with other group members to study the link between neuronal activity and cognition in artificial and biological intelligent systems. We are looking for an intrinsically motivated student with a Master (or equivalent) degree in Computer Science, Neural Engineering, Electrical Engineering, Mathematics, Physics, or a related field. We expect strong competencies in machine learning and programming, as well as a passion for interdisciplinary research in general and learning about the brain in particular. The ability to speak German would be beneficial but is not required. Employment is according to the collective bargaining agreement §48 VwGr. B1 Grundstufe (praedoc, 75%), see http://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sche… The duration of employment is three years and can be extended to a maximum of four years. The initial contract will be limited to 1.5 years and automatically renewed for another 1.5 years at the end of the 12-month probation period. Job duties involve research as well as teaching (in English or German). The Neuroinformatics Group is part of the Faculty of Computer Science at the University of Vienna, the oldest and largest public research university in the German-speaking world (https://en.wikipedia.org/wiki/University_of_Vienna) Research in our group focuses on two topics: Causal inference for bridging the gap between neuronal activity and cognition and AI/ML algorithms for brain-computer interfacing. Our offices are located in downtown Vienna, a city that has been repeatedly ranked as having the world's highest quality of living. We strive to be a diverse research group and particularly welcome (and, given equal qualifications, give preference to) applications from groups currently underrepresented in academia! To apply, please set up an account (https://zid.univie.ac.at/en/setting-up-a-uaccount/) and submit the following documents via https://servicedesk.univie.ac.at/plugins/servlet/desk/portal/89/create/1277: * Letter of motivation (~one page) * CV * Abstract of Master thesis * Degree certificates * Contact information of two referees * List of publications and evidence of teaching experience (if any) The application deadline is the 13th of December, 2021. Please choose reference number "#06 PC2: Neuroinformatics, Prof. Grosse-Wentrup" when submitting your application. Because there are two separate projects linked to this call, please indicate in your motivation letter whether you are applying to the BCI or the causal inference project. If you have any questions prior to applying, please feel free to contact me via moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

Nov. 25, 2021

Doctoral position on AI / ML algorithms for invasive brain-computer interfacing at the University of Vienna

by Moritz Grosse-Wentrup

We have an opening for a doctoral position to develop artificial intelligence / machine learning algorithms for invasive brain-computer interfacing (BCI) in the Neuroinformatics Group at the University of Vienna (https://ni.cs.univie.ac.at/) The project's goal is to develop a language BCI based on invasive, single-cell recordings in a human subject. The project will be carried out in close collaboration with Simon Jacob at the Technical University Munich (http://simonjacob.de/) We are looking for an intrinsically motivated student with a Master's (or equivalent) degree in Computer Science, Neural Engineering, Electrical Engineering, Mathematics, Physics, or a related field. We expect strong competencies in machine learning and programming, as well as a passion for interdisciplinary research in general and learning about the brain in particular. The ability to speak German would be beneficial but is not required. Employment is according to the collective bargaining agreement §48 VwGr. B1 Grundstufe (praedoc, 75%), see http://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sche… The duration of employment is three years and can be extended to a maximum of four years. The initial contract will be limited to 1.5 years and automatically renewed for another 1.5 years at the end of the 12-month probation period. Job duties involve research as well as teaching (in English or German). The Neuroinformatics Group is part of the Faculty of Computer Science at the University of Vienna, the oldest and largest public research university in the German-speaking world (https://en.wikipedia.org/wiki/University_of_Vienna) Research in our group focuses on two topics: Causal inference for bridging the gap between neuronal activity and cognition and AI/ML algorithms for brain-computer interfacing. Our offices are located in downtown Vienna, a city that has been repeatedly ranked as having the world's highest quality of living. We strive to be a diverse research group and particularly welcome (and, given equal qualifications, give preference to) applications from groups currently underrepresented in academia. To apply, please set up an account (https://zid.univie.ac.at/en/setting-up-a-uaccount/) and submit the following documents via https://servicedesk.univie.ac.at/plugins/servlet/desk/portal/89/create/1277: * Letter of motivation (~one page) * CV * Abstract of Master thesis * Degree certificates * Contact information of two referees * List of publications and evidence of teaching experience (if any) The application deadline is the 13th of December, 2021. Please choose reference number "#06 PC2: Neuroinformatics, Prof. Grosse-Wentrup" when submitting your application. Because there are two separate projects linked to this call, please indicate in your motivation letter whether you are applying to the BCI or the causal inference project. If you have any questions prior to applying, please feel free to contact me via moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

Nov. 25, 2021

Multiple Ph.D. Positions in AI and Machine Learning at Indiana University Bloomington

by Zoran Tiganj

The Center for Machine Learning at Indiana University brings together over 10 faculty working in areas including theory, reinforcement learning, statistical learning, speech and audio processing, robotics, planning and control, medical image processing, graphical models, computational neuroscience, computer vision, case-based reasoning, and deep learning. Please visit our Center website at https://cml.luddy.indiana.edu/people/. Together we have at least 10 PhD positions available for Fall 2022 admission. Topics include: - Algorithms for ML: scalable (e.g., parallel, distributed round/communication-efficient) algorithms for reinforcement learning, online learning, clustering. - Probabilistic ML: graphical models, efficient inference algorithms, applications, and computational/statistical learning theory. - AI: probabilistic planning, unsupervised learning, memory augmentation, reinforcement learning, and the connections between planning and probabilistic inference. - Robotics: planning, decision-making, and learning methods for autonomous robotic systems, and coordination approaches for distributed multi-robot or swarm systems. - Computer Vision: object and action recognition, 3D reconstruction, egocentric computer vision, deep learning, and graphical model inference. - ML and DL for speech/music/audio processing: speech enhancement, source separation, privacy and security for speech/audio applications, speech/audio coding, music information retrieval and music signal processing For all areas ideal candidates should have demonstrable strong math and theory skills and/or excellent programming and system building skills. Background in the relevant areas listed above is of course desirable. Applicants should have received a Bachelor’s degree in computer science, engineering, statistics, or related fields. The Center brings together faculty from different departments across the university, including Computer Science, Intelligent Systems Engineering, and Statistics. Each faculty has a home department (listed on the website above) but can advise students in other departments. Please mention the faculty with whom you would like to work in your Statement of Purpose. You may apply to multiple programs. For best consideration, please submit applications by these dates: - Computer Science: Priority deadline: December 1, 2021, Second round: January 1, 2022 - Intelligent Systems Engineering: Priority deadline: December 1, 2021, Second round: January 1, 2022 - Statistical Science: Priority deadline: January 15, 2022 For detailed information about the programs and application process, please visit: https://luddy.indiana.edu/admissions/apply/graduate.html Email inquiries: - For information about the admission process or requirements, please write goluddy(a)indiana.edu - For information about the Center for Machine Learning, please contact iucml(a)indiana.edu - For information about specific positions or projects, please write to the faculty member directly.

Nov. 25, 2021

Readership/Principal Lectureship in Robotics and Adaptive Systems at the University of Hertfordshire

by Volker Steuber

Readership/Principal Lectureship in Robotics and Adaptive Systems School of Physics, Engineering and Computer Science University of Hertfordshire, Hatfield, UK Closing: 6. December 2021 Applications are invited for a Reader/Principal Lectureship on emerging topics in Robotics/AI, including, but not limited to: - Robotics: embodied and/or cognitive robotics, soft robotics, adaptive or evolutionary robotic design, robot safety and ethics, sensorics and robotics, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics, human-robot interaction, agricultural robotics - Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms - Biological and biophysical computation paradigms, systems biology, neural computation - Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation #complexsystems - Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization; causality - Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), algebraic and category-theoretical methods in AI; modern topics in games and AI; quantum algorithms for AI #computeralgebra - AI and applications: financial modelling, AI and biology/physics/cognitive sciences - Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life #artificiallife Closing Date: 6. December 2021 To apply and for further information, please see: https://www.jobs.ac.uk/job/CKJ638/reader-principal-lecturer-in-robotics-and… Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK +44 (0)1707 284350 biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

Nov. 25, 2021

Lectureship in human and computational neuroscience at the University of Leicester, UK

by Quian Quiroga, Rodrigo (Prof.)

Dear Colleagues, The Department of Neuroscience, Psychology and Behaviour at the University of Leicester is looking for a lecturer (similar to Assistant Professor) to work on human neuroscience and computational modeling, with particular interest on the analysis and modelling of human single neuron data obtained in patients implanted with intracranial recordings for clinical reasons. For an overview of our research in this area (focusing at memory coding in the hippocampal formation) see, e.g.: https://www2.le.ac.uk/centres/csn/publications-1/2019/QuianQuirogaCell2019.… https://www2.le.ac.uk/centres/csn/publications-1/2020/tics2020 Details of the position can be found here: https://jobs.le.ac.uk/vacancies/4022/lecturer-in-human-neuroscience-and-com… The deadline for applications is: December 13th 2021 Best, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn<http://www.le.ac.uk/csn>

Nov. 23, 2021

Research Fellow in Cognitive neuroscience at the University of Sussex

by Anil Seth

Research Fellow in Cognitive Neuroscience University of Sussex (Sackler Centre for Consciousness Science) and the University of Glasgow Full time or part time hours considered up, fixed term for 15 months until 31 March 2023 (potentially extendable) Closing date: 1 December 2021. Starting date: As soon as possible Details and how to apply: https://www.sussex.ac.uk/about/jobs/research-fellow-in-cognitive-neuroscien… The Sackler Centre for Consciousness Science is seeking applications from a highly motivated post-doctoral research scientist to join Dreamachine - a ground-breaking new creative programme commissioned for UNBOXED, a collection of large-scale public engagement projects taking place across the UK next year. http://www.unboxed2022.uk www.dreamachine.world<http://www.dreamachine.world/> With a strong background in cognitive neuroscience or a similar discipline, programming and data management, you will work as part of a multidisciplinary team, including members of the Sackler Centre and collaborators at the University of Glasgow, to develop an interactive suite of online experiments investigating individual differences in perception. This project has the potential to engage millions of people within the U.K. Since 2010, The Sackler Centre for Consciousness Science has pioneered the multidisciplinary study of the biological basis of conscious experience. The Centre bridges four Schools at the University of Sussex: Informatics and Engineering, Psychology, Philosophy, and Brighton and Sussex Medical School (BSMS) and is internationally renowned as a beacon of excellence for consciousness science, its clinical application, and engagement and outreach within and beyond academia. Please contact Dr. D. Schwartzman: D.Schwartzman(a)sussex.ac.uk<mailto:D.Schwartzman@sussex.ac.uk> or Prof A. Seth (A.K.Seth(a)sussex.ac.uk<mailto:A.K.Seth@sussex.ac.uk>) for informal enquiries. The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.

Nov. 23, 2021

Doctoral studies in Computational/Theoretical Neuroscience at NYU

by Eero P Simoncelli

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in scientific study of the brain. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS), Graduate School of Arts & Sciences (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://as.nyu.edu/cns/DoctoralProgram.html] * SueYeon Chung (starting Sep 2022) - NeuroAI and geometry. * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * David Heeger (also in Psychology) - Computational neuroscience, vision, attention. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision-making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in the Center for Data Science) - Computational models of learning and memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. * Alex Williams (starting Jan 2022) - Statistical analysis of neural data. Neuroscience Institute, School of Medicine (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://med.nyu.edu/departments-institutes/neuroscience/] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the Simons Foundation) - Neural computation and connectomics. * Biyu He - Large-scale brain dynamics underlying human cognition. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Shy Shoham - Methods for controlling, imaging, and analyzing neural systems. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html] * Todd Gureckis - Memory, learning, and decision processes. * Brendan Lake (also in the Center for Data Science) - Computational modeling of cognition, deep learning. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Mathematics (deadline: 4 January) [http://math.nyu.edu/degree/phd/] * David McLaughlin - Nonlinear wave equations, computational visual neuroscience. * Aaditya Rangan - Computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Data Science (deadline: 12 December) [https://cds.nyu.edu/phd-program/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. Physics (deadline: 18 December) [https://as.nyu.edu/physics/programs/graduate.html] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, computer vision, robotics, computational neuroscience. Economics (deadline: 18 December) [https://as.nyu.edu/econ/graduate/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

Nov. 23, 2021

Three Postdoc at U Minnesota (fMRI / ML / UHF-fMRI 7T-10.5T/ Child Brain Development/Connectotyping)

by cristian morales

Hi, hope you are doing well. can you please post the following announcement? feel free to get in touch if you have any questions thanks Come work with the DCAN Lab at the University of Minnesota! Several PIs are looking for postdocs interested in topics ranging from high field neuroimaging <https://hr.myu.umn.edu/jobs/ext/343116> to personalized functional connectivity <https://hr.myu.umn.edu/jobs/ext/344087> to machine learning/data science <https://hr.myu.umn.edu/jobs/ext/344086>. You'll get to work with some of the top researchers in the fields of brain imaging and child development. More info on each position Subtyping: https://hr.myu.umn.edu/jobs/ext/344086 - The Developmental Cognition and Neuroimaging Lab (DCAN Lab) announces the availability of a postdoctoral position with Dr. *Eric Feczko*, MBI, PhD. This scientist should have a documented background and interest in child mental health research and also have experience with machine learning and data science, with interest to learn more about and understand developmental brain function in infants and children Connectotyping: https://hr.myu.umn.edu/jobs/ext/344087 - The Developmental Cognition and Neuroimaging Lab (DCAN Lab) announces the availability of a postdoctoral position with *Oscar Miranda-Domínguez*, MSC, PhD. The position will support studies using connectotyping to examine personalized maps of functional connectivity and longitudinal trajectories for the association between brain function and behavior. The work will also include support for other federally funded brain imaging studies on the development of attention, learning, and cognition. 7T/10.5T: https://hr.myu.umn.edu/jobs/ext/343116 - The Center for Magnetic Resonance Research (CMRR) and Developmental Cognition and Neuroimaging Lab (DCAN Lab) announces the availability of a postdoctoral position with *Damien Fair*, PA-C, PhD. This scientist should have a documented background and interest in using high field brain imaging (7T and 10.5T) in their research and also have experience using computational neuroscience, with interest to learn more about and understand developmental brain function in infants and children and/or non-human primates.

Nov. 22, 2021

10 fully-funded PhD Positions in Neurobiology of Behavior | IMPRS for Brain & Behavior | Bonn, Germany

by Ezgi Bulca

Dear colleagues, The International Max Planck Research School (IMPRS) for Brain & Behavior PhD applications are open with a deadline on December 1, 2021. Could you please forward our call to interested Master's students? Thank you! 10 fully-funded PhD Positions in Neurobiology of Behavior | IMPRS for Brain & Behavior Bonn, Germany Apply to our fully funded, international PhD program in the Max Planck Society! IMPRS for Brain & Behavior is a PhD program in Bonn, Germany that offers a competitive world-class PhD training and research program in the field of neuroethology. IMPRS for Brain & Behavior is a collaboration between research center caesar<https://www.caesar.de/en/> (a neuroethology institute of the Max Planck Society), the University of Bonn<https://www.uni-bonn.de/en>, and the German Center for Neurodegenerative Disease (<https://www.dzne.de/en/about-us/sites/bonn/>DZNE) in Bonn<https://www.dzne.de/en/about-us/sites/bonn/>. The Projects 20 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website (https://imprs-brain-behavior.mpg.de/faculty_members) for further information on our faculty and possible doctoral projects. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn, Germany. Your Profile * Proven track record of academic and research excellence * Master's degree in life sciences, physics, mathematics, computer science, engineering, or other relevant subject (Degree should be concluded before admission to the PhD, latest by November 2022) * Fluency in written and spoken English * Research experience is of advantage Our Offer Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the-art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for the whole duration of studies and no tuition fees. We are committed to diversity and equal opportunity for all applicants. Application deadline: December 1, 2021 https://imprs-brain-behavior.mpg.de/ You will need: CV, letter of motivation, contact info for 2 referees, academic certificates and transcripts. Only online applications accepted. Short-listed candidates will be interviewed online in February 2022. Positions must be started latest in November 2022. If you have any questions, feel free to contact the coordinator Ezgi Bulca at imprs.info(a)caesar.de<mailto:imprs.info@caesar.de> . Kind regards from Bonn, Ezgi Ezgi Bulca IMPRS for Brain & Behavior Coordinator phone +49 228 9656 318 e-mail: ezgi.bulca(a)caesar.de<mailto:ezgi.bulca@caesar.de> www.imprs-brain-behavior.mpg.de<http://www.imprs-brain-behavior.mpg.de/> https://twitter.com/IMPRSBrainBehav [IMPRS logo for email signature2] research center caesar an associate of the Max Planck Society Ludwig-Erhard-Allee 2 53175 Bonn, Germany www.caesar.de<http://www.caesar.de/>

Nov. 22, 2021

CFP: 8th Annual Conference of Cognitive Science Jan 2022, Abstract deadline: Nov 25

by Shyam Diwakar

Hello All, I would like to cordially invite you and colleagues interested in or working on cognitive sciences, neurosciences or related topics to participate at ACCS8. This January 2022 event will be fully online. The abstract deadline is November 25, 2021. ACCS8: Call for contributions 8th Annual Conference of Cognitive Science (ACCS8) Amrita University, India – 20 – 22 January 2022 https://www.amrita.edu/accs8 The 8th edition of ACCS, to be hosted by Amrita Vishwa Vidyapeetham (Amrita University), Kerala, India will be held virtually. Registration will be free but mandatory to attend. List of our invited speakers, TPC and other info at https://www.amrita.edu/event/accs8 CONFERENCE TOPICS Like in our previous years, the ACCS8 conference is open to all topics with Cognitive Science as a discipline, and in various areas of study, including Neuroscience, Artificial Intelligence, Linguistics, Skilling, Medicine, Anthropology, Psychology, Philosophy, and Education. SUBMISSION GUIDELINES We welcome abstracts (min word limit:500) from all areas of cognitive science and from anyone worldwide. For the 2022 online event, we are accepting only abstracts containing the salient details of your study. Please copy and paste the title and abstract into the submission form. We are not accepting any paper-length submissions this year, so do include all relevant details in the abstract itself. A small number of abstracts will be selected for oral presentations/talks. Submission link: https://easychair.org/conferences/?conf=accs8 For CFP: https://easychair.org/cfp/accs8 CONFIRMED Keynote speakers: 1. Nandini Chatterjee Singh, UNESCO MGIEP, India. 2. Claudia Wheeler-Kingshott, University College London, UK. 3. Kenji Doya, Okinawa Institute of Science and Technology, Japan. 4. Egidio D'Angelo, University of Pavia, Italy 5. Ned Block, New York University, USA. 6. Bhavani Rao, Amrita University, India. IMPORTANT DATES Abstract submission deadline November 25, 2021 BEST PAPER AWARDS We are planning some best poster and oral presentations. Please stay tuned. CONTACT All questions about submissions should be emailed to accs8conference(a)gmail.com<mailto:accs8conference@gmail.com> Previous ACCS events - https://www.amrita.edu/event/accs8/about Thank you and kind regards, Shyam Diwakar Local organizer - ACCS8 -- Prof. Shyam Diwakar, Ph.D. Director - Amrita Mind Brain Center Faculty Fellow - Amrita Center for International Programs Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, Clappana P.O. Kollam, India. Pin: 690525 Ph:+91-476-2803116 Fax:+91-476-2899722 http://amrita.edu/mindbrain [https://docs.google.com/uc?export=download&id=1_nOxaCXob6wVcuQyYI5KVk1PhMgi…] [https://intranet.cb.amrita.edu/sig/RankingLogo.png] Disclaimer : The information transmitted in this email, including attachments, is intended only for the person(s) or entity to which it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of, or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. Any views expressed in any message are those of the individual sender and may not necessarily reflect the views of Amrita Vishwa Vidyapeetham. If you received this in error, please contact the sender and destroy any copies of this information.

Nov. 20, 2021

Online Cognitive Science Master's Program

by mcruz＠uni-osnabrueck.de

Dear all, We are now accepting applications for the 2022 summer term! The Institute of Cognitive Science at Osnabrück University is offering a digital track to the Cognitive Science M.Sc. program. The DAAD-funded program targets international students who can complete the coursework remotely. Possible focus areas include Artificial Intelligence, Neuroinformatics, and Neuroscience. Deadline: January 15, 2022 You can find more information on our website: https://vt.uos.de/cosmos Please do not hesitate to contact us for further questions. Best, Misha Cruz Wissenschaftliche Mitarbeiterin OS-COSMOS mishael.g.cruz(a)uni-osnabrueck.de Institut für Kognitionswissenschaften und virtUOS Universität Osnabrück

Nov. 19, 2021

Next INCF/OCNS Software WG Dev session: Software Citation Principles: 22, 2021, 1600 UTC (Daniel S Katz, Neil Chue Hong)

by Ankur Sinha

Dear all, Apologies for the cross posts. In the next dev session at the INCF/OCNS Software Working Group, Daniel S Katz and Neil Chue Hong will discuss principles of citing research software. https://ocns.github.io/SoftwareWG/2021/11/01/dev-session-daniel-s-katz-neil… Where: Zoom: https://ucl.zoom.us/j/94578141033?pwd=SlZBcEluT2svUWhseGFHMUVLWFB0UT09 When: November 22, 2021, 1600 UTC The abstract for the talk is below: ----------------------------------- Today, software is a key part of almost all research, and the development and maintenance of this software is done by human beings, often in academia. It's essential that these activities be seen as a valued element of scholarly work so that the people who do it have career paths that encourage them to continue to do it. One means of accomplishing this is to use the existing scholarly citation system. The FORCE11 Software Citation working group[1] developed a set of Software Citation Principles in 2016[2], and since then, the FORCE11 Software Citation Implementation working group[3] has been working with many types of stakeholders, including publishers, repositories, and standards, to implement the principles. We'll talk about this work, the changes we've seen, what still needs to be done, and how the INCF community can participate. [1] https://www.force11.org/group/software-citation-working-group [2] https://www.force11.org/software-citation-principles [3] https://www.force11.org/group/software-citation-implementation-working-group The session is open to all, but requires you to login to Zoom to limit spam. Please do forward this to your colleagues. On behalf of the INCF/OCNS Software working group, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

Nov. 18, 2021

Postdoctoral Position in Astrocyte and Vasculature Modeling at Blue Brain, EPFL

by Daniel Keller

*BBP- Postdoctoral Position in **Astrocyte and Vasculature **Modeling* A postdoctoral position in modeling of neuro-glia-vasculature is available at the Blue Brain Project at the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland (www.epfl.ch) The Blue Brain Project, based in Geneva, Switzerland, performs large-scale simulations of the brain. The proposed research will extend a model of astrocytes and vasculature to model calcium within detailed structural models of astrocytes in various brain regions, and to investigate aspects of coupling to vasculature. The position entails development of methods and systems to perform multi-scale modeling and integrate knowledge of the signaling pathways involved in glial messaging. The ideal candidate will have a Ph.D. in computational neuroscience or related field. Experience in modeling of metabolism, blood flow, and/or biochemical signaling cascades is desired. Strong biology and mathematical background, as well as coding competence in Python, C++, and NEURON would also be useful for the position. We are looking for highly motivated individuals to be part of a highly multidisciplinary group working at the interface of neuroscience, physics and computer science. Candidates should possess good writing, collaboration, and communication skills. Selected candidates will join a prestigious project that is pioneering simulation neuroscience research, composed of a young, dynamic, interdisciplinary, and international team. We offer a state-of-the-art working environment based at the Biotech Campus in Geneva ( http://www.campusbiotech.ch/en/ ) with access to cutting-edge simulation, informatics and computing facilities. More information and application instructions can be found at: https://recruiting.epfl.ch/Vacancies/2032/Description/2

Nov. 17, 2021

Two Postdoctoral Scholar Positions at Washington University in St. Louis

by Shuo Wang

We are looking for two highly motivated postdoctoral scholars to work on NSF and DoD funded projects. One postdoctoral scholar will use human single-neuron recordings to study the neural circuits underlying social attention, and the other postdoctoral scholar will use multimodal neuroimaging techniques to study social behavior and brain networks in people with autism. The research will be conducted in a highly collaborative environment using state-of-the-art equipment, facilities, and analytical methods. The postdoctoral scholars will collaborate with an established team of investigators within and outside WashU and have ample opportunity to learn new techniques and methods. Applicants must hold a Ph.D. in systems, cognitive, or computational neuroscience, or in physics, electrical engineering, or computer science, with relevant research expertise in neuroscience. Applicants must also have strong programming (Matlab or similar) skills. Individuals with previous human intracranial EEG expertise and/or macaque single-neuron recordings that wish to expand into human single-unit recordings are encouraged to apply. Our lab combines multimodal and advanced measurement techniques with sophisticated computational approaches to understand the neural mechanisms and neural computations underlying social attention, face processing, emotion, memory, and decision making. Overarching questions involve how the brain figures out what is important in the environment, how socially relevant stimuli pop out and attract attention, how faces are processed and represented in general, and how memory is modulated by attention. We are particularly interested in the neural computations underlying these cognitive processes: multimodal approaches allow us to investigate these questions from the microscopic single-neuron and neural circuit level using our state-of-the-art human single-neuron recordings as well as macroscopic level using fMRI, EEG, and intracranial EEG (sEEG and ECoG). These multimodal experimental approaches are powered by sophisticated computational approaches that can deal with complex and large datasets. The Wang Neuroscience Lab is housed in the Mallinckrodt Institute of Radiology (MIR) at the Washington University School of Medicine (WUSM) in St Louis. WUSM is a world class research intensive academic health center that is consistently ranked among the nation’s research-oriented medical schools. Additionally, it is nationally known for its attractive campus, which borders residential neighborhoods and one of the nation’s largest urban parks. St. Louis is consistently rated a Forbes most affordable city with vibrant music, food and park scene, and has one of the fastest growing start-up communities with impressive accelerator and incubator services available through the Biogenerator, Cambridge Innovation Center, and Cortex Innovation District. Shuo Wang, Ph.D. Assistant Professor Washington University in St. Louis https://sites.wustl.edu/wanglab/

Nov. 16, 2021

Fully funded PhD and postdoc positions in Computational Neurosciences at Maastricht University

by Jolivet, Renaud

Dear Colleagues, My department has 1 fully-funded postdoc position and multiple PhD positions for Chinese students to apply to via the Chinese Scientific Council: 1. I am recruiting a postdoc to work on our European EIC Pathfinder Open grant IN-FET (https://cordis.europa.eu/project/id/862882) to develop a new type of brain-machine interface. I am looking for a postdoc with experience in the computational modelling of neuronal biophysics at the cellular and sub-cellular levels, and an interest in using that knowledge to develop equivalent neural network models. The IN-FET project aims at developing a new type of interface for neural tissue that works by modulating the extracellular concentrations of key ionic species. Experience with COMSOL desired but not mandatory. FTE work based in Maastricht, but with frequent trips to Northern Italy anticipated (Trieste region). Attractive conditions, position funded for 27 months. Anticipated start date Jan 2021. 2. Our department is looking to attract Chinese students willing to apply with us for PhD positions funded by the Chinese Scientific Council. Positions are funded for 4 years. The following projects are available in our department: * https://www.maastrichtuniversity.nl/file/2021fsebreueragingmetabolicmodelin… * https://www.maastrichtuniversity.nl/file/2021fsejolivetmechanismsandroleofa… * https://www.maastrichtuniversity.nl/file/2021fseadriaensthegeneticunderpinn… Another project is available to investigate the metabolic profile of different glial cell types. If interested, contact me at r.jolivet(a)maastrichtuniversity.nl<mailto:r.jolivet@maastrichtuniversity.nl> or DM me at twitter.com/RenaudJolivet<http://twitter.com/RenaudJolivet>. Cheers, Renaud — Prof. Renaud B. Jolivet Neural Engineering and Computation, Chair Maastricht University Organization for Computational Neurosciences, Board of Directors Initiative for Science in Europe, External Policy Advisor and Board Member Marie Curie Alumni Association, Vice-Chair of Policy +41798302129 (mobile) ‭+31433881741 (office)‬ r.jolivet(a)maastrichtuniversity.nl<mailto:renaud.jolivet@unige.ch> twitter.com/RenaudJolivet<https://twitter.com/RenaudJolivet> linkedin.com/in/renaud-jolivet-63b5534<http://linkedin.com/in/renaud-jolivet-63b5534> scholar.google.ch/citations?user=9Ozwv7EAAAAJ&hl=en<https://scholar.google.ch/citations?user=9Ozwv7EAAAAJ&hl=en>

Nov. 15, 2021

Call for Papers: Reproducibility in Neuroscience

by Alberto Antonietti

Are you interested in making neuroscience more reproducible? Have you already tried to replicate a study? Are you bothered by the "Data and code are available upon reasonable request"? If your answer to one of the previous questions is "yes", then you could be interested in this call for papers. With this research topic, we aim to stimulate neuroscientists from all fields to design and publish works that rigorously attempt to reproduce landmarks or controversial studies: https://www.frontiersin.org/research-topics/26709/reproducibility-in-neuros… We are inviting papers on both: - "Results reproducibility", i.e., obtain the same results from an independent study with procedures as closely matched to the original study as possible; - "Inferential reproducibility", i.e. draw the same conclusions from either an independent replication, using different research methodologies, of a study or a reanalysis of the original data. Are you interested in making neuroscience more reproducible? Have you already tried to replicate a study? Are you bothered by the "Data and code are available upon reasonable request"? If your answer to one of the previous questions is "yes", then you could be interested in this call for papers. With this research topic, we aim to stimulate neuroscientists from all fields to design and publish works that rigorously attempt to reproduce landmarks or controversial studies: https://www.frontiersin.org/research-topics/26709/reproducibility-in-neuros… We are inviting papers on both: - "Results reproducibility", i.e., obtain the same results from an independent study with procedures as closely matched to the original study as possible; - "Inferential reproducibility", i.e. draw the same conclusions from either an independent replication, using different research methodologies, of a study or a reanalysis of the original data. We will consider both confirmatory and negative results, the unique criteria will be the rigorousness, fairness, and soundness of the replication study. Authors are required to make all materials and methods used to conduct their research available to other researchers. Data and codes used to analyze results must comply with FAIR principles and should preferably be uploaded to an online repository providing a global persistent identifier (e.g., OSF, Harvard Dataverse, Zenodo). Authors are also strongly encouraged to subject their codes to an independent audit at codecheck.org.uk. I’m very pleased to be launching a new article collection, Reproducibility in Neuroscience, together with an expert editorial team: - Alberto Antonietti - Blue Brain Project, Ecole polytechnique fédérale de Lausanne (EPFL), Geneva, Switzerland - Nele A Haelterman - Baylor College of Medicine, Houston, United States - Reeteka Sud - National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India - Nafisa M Jadavji - Midwestern University, Glendale, AZ, United States - Denes Szucs - University of Cambridge, Cambridge, United Kingdom We’re now in the process of putting together a group of top researchers whose work we’d like to feature in this collection, and we would like you to participate. The research topic is hosted by Frontiers in Integrative Neuroscience, you can find all information here: https://www.frontiersin.org/research-topics/26709/reproducibility-in-neuros… Important notice on Publishing Fee (APC) support: If Frontiers publishing fees are too high for your funding situation, you are eligible for full or partial APC fee support. In order to apply to fee support, please complete the fee support application form online, and allow up to two weeks for Frontiers to review and reply to your request: https://frontiers.qualtrics.com/jfe/form/SV_51IljifwFBXUzY1 More information can be found at: https://www.frontiersin.org/about/fee-policy Please get in touch if you have any questions - looking forward to hearing from you. Alberto On behalf of the Topic Editors. We will consider both confirmatory and negative results, the unique criteria will be the rigorousness, fairness, and soundness of the replication study. Authors are required to make all materials and methods used to conduct their research available to other researchers. Data and codes used to analyze results must comply with FAIR principles and should preferably be uploaded to an online repository providing a global persistent identifier (e.g., OSF, Harvard Dataverse, Zenodo). Authors are also strongly encouraged to subject their codes to an independent audit at codecheck.org.uk. I’m very pleased to be launching a new article collection, Reproducibility in Neuroscience, together with an expert editorial team: - Alberto Antonietti - Blue Brain Project, Ecole polytechnique fédérale de Lausanne (EPFL), Geneva, Switzerland - Nele A Haelterman - Baylor College of Medicine, Houston, United States - Reeteka Sud - National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India - Nafisa M Jadavji - Midwestern University, Glendale, AZ, United States - Denes Szucs - University of Cambridge, Cambridge, United Kingdom We’re now in the process of putting together a group of top researchers whose work we’d like to feature in this collection, and we would like you to participate. The research topic is hosted by Frontiers in Integrative Neuroscience, you can find all information here: https://www.frontiersin.org/research-topics/26709/reproducibility-in-neuros… Important notice on Publishing Fee (APC) support: If Frontiers publishing fees are too high for your funding situation, you are eligible for full or partial APC fee support. In order to apply to fee support, please complete the fee support application form online, and allow up to two weeks for Frontiers to review and reply to your request: https://frontiers.qualtrics.com/jfe/form/SV_51IljifwFBXUzY1 More information can be found at: https://www.frontiersin.org/about/fee-policy Please get in touch if you have any questions - looking forward to hearing from you. Alberto On behalf of the Topic Editors -- Questa email è stata esaminata alla ricerca di virus da AVG. http://www.avg.com

Nov. 15, 2021

Research Fellow "Machine Learning for Science" in Tübingen

by Philipp Berens

We have several positions to fill as Research Fellow "Machine Learning for Science" with potential runtime until 12/2025. We are searching at the postdoctoral level, for details see: https://www.nature.com/naturecareers/job/machine-learning-for-science-resea… Best Philipp -- -- Professor of Data Science for Vision Research Institute for Ophthalmic Research, University of Tübingen Cluster of Excellence "Machine Learning - New Perspectives for Science" www.berenslab.org

Nov. 14, 2021