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CfP: Deadline extended to May 15: Brain Informatics in Hoboken, NJ
by Feng Liu 02 May '23

02 May '23

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 16th International Conference on Brain Informatics (BI'23) August 1 - 3, 2023 Hoboken & New York – USA The key theme: Brain Science meets Artificial Intelligence Conference homepage: wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - 15 May 2023: Full Paper Submission Deadline - 20 May 2023: Workshop Proposal Submission Deadline - 01 Jun 2023: Abstract Submission Deadline *** Confirmed Keynote Speakers *** - Professor Emery N. Brown Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - Professor Bin He Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - Professor John Ngai Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - Professor Helen Mayberg Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - Professor Vinod Goel Author of monographs: “Sketches of thought” and “Reason and Less: Pursuing Food, Sex, and Politics” York University, Canada - Professor Amy Kuceyeski Director of Computational Connectomics (CoCo) at Weill Cornell Medicine Cornell University, USA - Dr. Grace Hwang Director, NINDS, NIH *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High quality BI conference papers may be nominated to submit an extended version for a fast track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Real-time Journal's Impact Factor: 8.5. *** Paper Submission and Publications *** Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-gu…) Overlength pages will be charged 200$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain) Abstract Presentation Submission: Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 15 May 2023: Full paper submission deadline * 20 May 2023: Workshop proposal deadline * 1 Jun 2023: Abstract presentation submission deadline * 3 Jun 2023: Final paper and abstract acceptance notification * 20 Jun 2023: Accepted paper and abstract registration deadline * 1-3 Aug 2023: The Brain Informatics Conference

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Last week to apply for Neuromatch Academy courses 2023!
by Alberto Antonietti 01 May '23

01 May '23

Dear colleagues, 📣 Last Chance to Apply for Neuromatch Academy 2023! The deadline for applications was extended, but all applications close the next Monday, May 8th! We are especially looking for expert Teaching Assistants (TAs) for project and lead TAs roles! Duties are described here: https://academy.neuromatch.io/roles Benefits of joining as a TA include: * Opportunity to develop teaching, problem-solving, and communication skills * Formal TA training * Paid position School dates: July 10th - July 28th, 2023. Apply here to become student or teaching assistant: https://academy.neuromatch.io *NMA - Computational Neuroscience* Flagship course covering contemporary computational neuroscience modeling and analysis techniques. Content: https://compneuro.neuromatch.io *NMA - Deep Learning* In-depth advanced materials, ideal for graduate students and postdocs wishing to add computational techniques to their neuroscience research, or for individuals looking to dive into the Deep Learning world. Content: https://deeplearning.neuromatch.io *CMA - Computational Tools for Climate Science (17-28th July)* The newest course, a wide-reaching, inclusive and approachable program aimed to introduce computational methods for climate science. Check out the CMA website: https://academy.climatematch.io Access the *Application Portal* and apply before the *deadline (May 8th)* ! Apply here to become student or teaching assistant: https://academy.neuromatch.io *What is Neuromatch Academy?* Neuromatch Academy (NMA) teaches computational techniques crucial for success in academia and industry. It serves thousands of students each year with hundreds of teaching assistants (TA). Students learn by solving problems in small groups and by running group projects; they learn in many languages in an incredibly supportive environment. *What’s in a course?* Our courses are intensive 3-week programs involving hands-on tutorials developed by experts in the field. Accepted students are placed into TA-led pods (groups) using the Neuromatch algorithm, which matches students with common interests who are in the same timezone and their preferred language for instruction. Students also receive personalized support as they work through hands-on tutorials and collaborate on course projects. [Please note that course participation requires active attendance and attention of the students for 3 weeks.] *Why should you apply to NMA?* This program provides a dynamic learning experience that fuses neuroscience and computational techniques. Collaborate with a global community of experts and peers, hone your problem-solving skills, and build a supportive network that celebrates inclusivity and accessibility in science education. Don't miss out on this unique opportunity to advance your knowledge and skills. Apply to unlock your potential and propel your career forward! *What does it cost?* Neuromatch Academy’s mission is to make education affordable to everybody, no matter their financial background. We do this by pricing our courses significantly lower than other summer schools, adjusting for national economic factors, and allowing students to pay what they can when those adjustments are insufficient. Please see the website https://academy.neuromatch.io for additional information and volunteer opportunities! Warm Regards, Neuromatch Academy team -- Alberto Antonietti, Ph.D. Assistant Professor Nearlab - NeuroEngineering And medical Robotics Laboratory Department of Electronics, Information and Bioengineering Politecnico di Milano http://www.nearlab.polimi.it/

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NeuroBridges 2023 Deadline approaching
by Ahmed El Hady 01 May '23

01 May '23

*NeuroBridges 2023* *A Mediterranean, Middle Eastern Summer School in Neuroscience* *Deadline to apply: May 15, 2023* *NeuroBridges 2023* is a summer school which will take place between *September 3 and September 14, 2023* in Le Centre de Conferences Internationales de Cluny, France (CCIC). The school will provide an overview of theoretical and experimental frameworks used to study a variety of *decision making* processes. It will cover different model systems from rodents to humans and a plethora of decision making mechanisms. Another objective of Neurobridges is to bring together *Mediterranean and Middle Eastern scientists*, in order to promote scientific cooperation between young researchers from these countries. The organizers of NeuroBridges are convinced that such scientific collaborations can lead to personal relations, which eventually may alleviate the political distress in the Middle East. The school is intended for graduate students and postdocs, primarily, but not only, from the Middle East and the Mediterranean region, either working in their home countries or abroad. Applicants should have some background in related fields in neuroscience or cognitive psychology. *All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will be also be available*. *NeuroBridges 2023 Faculty:* Alaa Ahmed (U. Colorado), Carlos Brody (Princeton), Iain Couzin (MPI), Roozbeh Kiani (NYU), Carole Levenes (CNRS), Drazen Prelec (MIT), Rava Azeredo da Silveira (IOB and CNRS) and Yoram Yovell (Hadassah Hebrew U. Medical Center). *NeuroBridges* is co-organized by Ahmed El Hady (MPI, Konstanz, Germany), Yonatan Loewenstein (Hebrew University of Jerusalem, Israel) and David Hansel (CNRS, Paris, France). ** *NeuroBridges 2023* is supported by the Simons Foundation, the CNRS and ELSC, and is in partnership with VVTNS (https://www.wwtns.online/) For more information and application, visit our website: https://neurobridges.net/neurobridges2023.html *Contact us:* neurobridges2023(a)gmail.com

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PhD position on dynamic RSA, CIMeC, Uni Trento, Italy
by Moritz Wurm 28 Apr '23

28 Apr '23

Dear all, We are seeking for a highly motivated PhD student to join the Action Recognition and Concepts Group <https://www.cimec.unitn.it/en/929/action-recognition-and-concepts-group> at CIMeC (Center for Mind/Brain Sciences), University of Trento, Italy. The research project will focus on a MEG-based dynamic extension to representational similarity analysis (dynamic RSA <https://doi.org/10.1101/2022.09.02.506366>) that we have recently developed in our lab to investigate predictive representations of temporally extended unfolding events. The successful candidate should have a background in cognitive neuroscience (preferably M/EEG or fMRI, MVPA/RSA) and strong programming skills (preferably Matlab). Deadline to apply is May 31. Please get in touch with me (moritz.wurm(a)unitn.it <mailto:moritz.wurm@unitn.it>) as soon as possible if you are interested or have questions. Find more information on CIMeC’s doctoral program here <https://www.unitn.it/drcimec/>. All the best, Moritz Wurm -- Moritz Wurm, PhD Center for Mind/Brain Sciences (CIMeC), University of Trento Corso Bettini 31, 38068 Rovereto (TN), Italy moritz.wurm(a)unitn.it +39 0461-28 8632 https://sites.google.com/site/moritzfwurm

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Assistant Professor position at Maastricht University
by Jolivet, Renaud (MACSBIO) 28 Apr '23

28 Apr '23

My department - Systems Biology at Maastricht University - has an opening for an Assistant Professor in Plant Systems, Computational or Synthetic Biology (https://www.academictransfer.com/en/327187/assistant-professor-plant-system…) This is part of a cluster hire for a new centre and the search is broad. We are particularly interested by people who develop computational methods that can be applied to plants, but also to humans and animals, and we would be particularly interested by a candidate developing methods useful in neuroscience. Please contact me directly if interested. — Prof. Renaud B. Jolivet Chair of Neural Engineering and Computation Maastricht University ERA Forum Stakeholder Representative, European Commission Chair of the Science and Technology Committee, EBRAINS Member of the Board of Directors, Organization for Computational Neurosciences 2023 Neurotech Fellow, Foresight Institute User Team Leader, ISOLDE, CERN +41798302129 (mobile) ‭+31433881741 (office)‬ r.jolivet(a)maastrichtuniversity.nl<mailto:renaud.jolivet@unige.ch> twitter.com/RenaudJolivet<https://twitter.com/RenaudJolivet>

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PhD Position in Computational Neuroscience, NI group @ Technische Universität Berlin, Germany
by Klaus Obermayer 26 Apr '23

26 Apr '23

*Neural Information Processing Group @ Technische Universität Berlin* *PhD Position in Computational Neuroscience (salary level TV-L E13 100%)* *Modelling Neural Dynamics and the Effects of Transcranial Electrical Stimulation* *Faculty IV - Institute of Software Engineering and Theoretical Computer Science / Neural Information Processing Group* *Reference number: *IV-215/23 (starting at the earliest possible date / for 5 years) *Working field: *Participation in the projects of the our research group in the field of computational neuroscience on modelling neural dynamics and the effects of transcranial electrical stimulation; collaboration with theoretical and experimental / clinical research groups of the Collaborative Research Center 1315 „Mechanisms and Disturbances of Memory Consolidation" (https://www.sfb1315.de/, cf. project B03) and the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) assistance in the maintenance of the computer infrastructure of the research group; teaching tutorials for introductory courses in programming and algorithms & architectures for non-CS students. For information about our research group see https://www.tu.berlin/en/ni. *Requirements: *Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; in-depth knowledge in dynamical systems, very good command of the German and English languages, the ability to teach in both German and English is required; very good programming skills and competences in the operating system UNIX; experience in modelling neural systems, teaching experience, and experience in server administration (UNIX) are desirable. Please send your application with the usual documents exclusively by e-mail to Prof. Dr. Klaus Obermayer at *klaus.obermayer(a)tu-berlin.de*, quoting the *reference number*. *Closing date* for applications for full consideration 12/05/23. Applications will be accepted until the position is filled.

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PhD position Radboud University Donders Institute
by peter.delooff＠ru.nl 26 Apr '23

26 Apr '23

Dear list, Apologies for any cross postings, but we have a PhD position available from a collaboration between the Donders Institute, RadboudUMC and Tilburg University that might be of interest to you. For additional information, please visit: https://werkenbijfivoor.nl/vacatures/details/phd-student-in-digital-phenoty… PhD Student in Digital Phenotyping and implementation with wearables in Forensic Psychiatry We are seeking a highly motivated PhD student to join our interdisciplinary team of researchers in the field of forensic psychiatry and digital phenotyping. The successful candidate will work with the team on developing several stress, sleep, and physical activity algorithms based on data from the Healthy Brain Study (HBS). The HBS is a prospective longitudinal cohort study that utilizes careful digital phenotyping in 1000 healthy participants. HBS combines bio-sampling, neuro-imaging and ecological momentary assessments to carefully assess several physiological, cognitive, affective and behavioural outcomes in both the laboratory and in real life with wearables. The PhD student will work on integrating these algorithms in an existing open source application for wearables in collaboration with patients and staff members from Forensic Psychiatry that will provide tailored, personalized insights and can be implemented in treatment settings. The PhD student will also carefully design several single case experiments to assess the efficacy and value of the open source application in (forensic) psychiatric treatment. This project is a collaboration between Donders Institute Radboud, Tilburg University, Fivoor, and de Borg and will be embedded in the infrastructure of the Donders Institute, providing a unique and stimulating learning environment for young researchers, including a high-profile graduate school and in-house methodological expert courses. All the best,

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Announcement of EITN Fall school in Computational Neuroscience
by DESTEXHE Alain 25 Apr '23

25 Apr '23

Hi All, In the name of the organizers, I'd like to announce the next edition of the EITN Fall School in Computational Neuroscience, in Paris in September 20-29, 2023. This school is intended for PhD students (although we do accept postdocs or Master students occasionally), and is structured in 4 scales of modeling: cellular, network, populations and whole-brain models. Each scale is associated with courses and tutorials on simulation tools such as Neuron, NEST, BRIAN, TVB, etc. The students form 4 groups to work on a modeling project, with the help of tutors. The course ends with the student presentations of the results obtained. This 10-day intensive course selects students on the basis of their excellence and need to follow this training. Students interested should send CV and a motivation letter to eitn(a)services.cnrs.fr (deadline end of June 2023). More details can be found at https://eitn.cnrs.fr/events/eitn-fall-school-2023 Thanks and see (some of) you soon, Alain --------------- EITN Fall School in Computational Neuroscience 2023 Paris, 20-29 September 2023 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work.The course is typically aimed for PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors.The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated to these topics. Organizers: Sacha Van Albada (Julich), Albert Gidon (U Berlin), Hermann Cuntz (Ernst Strüngmann Institute, Frankfurt), Alain Destexhe (CNRS), Matteo di Volo (University Lyon 1), Spase Petkoski (Aix-Marseille Univ.), Gorka Zamora-Lopez (Universitat Pompeu Fabra) Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: • Cellular models, and models of brain signals • Circuit models and networks • Mean-field models • Whole-brain models Hands-on learning schedule based on: • Morning classes and tutorials • Group projects in the afternoon • Free time in the evenings to visit Paris How to apply? This training has a limited capacity of 20 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 30 June 2023. Send your application by email at eitn(a)services.cnrs.fr<mailto:eitn@services.cnrs.fr> → You will receive a confirmation your application has be received within 5 working days (or on the day application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitn(a)services.cnrs.fr<mailto:eitn@services.cnrs.fr> for any question or assistance. Selection criteria include: • Working or studying in neuroscience or related • Experience in python programming would help • Priority is given to PhD students as the primary target of this training, although Master students and post-docs are welcome to apply as well Practical information: If selected, registration fee to attend the training is 400€ If selected, you will need to bring your own laptop with a few pre-installed programs. The tuition fee includes lunch, coffee, access to conference facilities and internet connection during the course days (Sunday not included). Location : Institut Supérieur Clorivière, 119 Bd Diderot, 75012 Paris This training is design to be attended in-person in Paris. It will not be recorded nor accessible remotely. Download flyer.pdf<http://eitn.cnrs.fr/wp-content/uploads/2023/04/Flyer.pdf> <http://eitn.cnrs.fr/wp-content/uploads/2023/04/Flyer.pdf> Preliminary list of Faculty and Speakers: Jan Antolik Nicolas Brunel Hermann Cuntz Gustavo Deco Damien Depannemaecker Alain Destexhe Matteo di Volo Gaute Einevoll Albert Gidon Moritz Helias Viktor Jirsa Marja-Leena Linne Jorge Mejias Spase Petkoski Maria Sacha Marcel Stimberg Bartosz Telenczuk Federico Tesler Sacha Van Albada Romain Veltz Gorka Zamora-Lopez <https://eitn.cnrs.fr/events/eitn-fall-school-2023>

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Last Call for nominations for the Valentin Braitenberg Award
by Alexander Lammers 25 Apr '23

25 Apr '23

Last Call for nominations for the Valentin Braitenberg Award ____________ Since 2012, the Bernstein Network Computational Neuroscience awards the Valentin Braitenberg Award every two years, which honors outstanding scientific achievements in the field of computational neuroscience. Following Braitenberg’s scientific tradition, special attention is paid to theoretical studies that reveal the functional significance of brain structures and their neuronal network dynamics. The award ceremony Further information: https://bernstein-network.de/en/network/awards-and-initiatives/valentin-bra… We welcome nominations for the Valentin Braitenberg Award for Computational Neuroscience 2023 until April 30, 2023. The award will be presented at the Bernstein Conference 2023 in Berlin. _____________ Award criteria: The major criterion for the selection of the awardee is the impact of the recipient’s research on the neurosciences. In the spirit of Valentin Braitenberg’s research, special emphasis is given to theoretical studies elucidating the functional implications of brain structures and their neuronal network dynamics. The crucial work should preferentially have been carried out in a European institution. ________________ Nominations: Nominations may be submitted by scientists working in the field of Computational Neuroscience and should include the following documents: * One-page laudation, in which the scientific work of the candidate is honored with regard to the award’s criteria * CV and list of publications Please send the nomination documents via e-mail to Dr. Alexandra Stein, a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de>, (Head of Bernstein Coordination Site). _________________ Former award winners: * Eve Marder * Wulfram Gerstner * David Willshaw * Alexander Borst * Moshe Abeles Dr. Alexander Lammers Press and Public Relations Bernstein Network Computational Neuroscience Bernstein Coordination Site Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9a | 79104 Freiburg | Germany Phone: +49 761 203-96787 Mail: a.lammers(a)fz-juelich.de<mailto:a.lammers@fz-juelich.de> Web: www.bernstein-network.de<http://www.bernstein-network.de> LinkedIn: Bernstein Network Computational Neuroscience Twitter: BernsteinNeuro Mastodon: BernsteinNetwork(a)mastodon.world<mailto:BernsteinNetwork@mastodon.world> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Multiple Openings for Post-Doc, Research Assistant and PhD student in Neuromorphic, In-memory computing IC design using SRAM/RRAM
by Prof. Arindam BASU 23 Apr '23

23 Apr '23

Multiple Openings for Post-Doc, Research Assistant and PhD student in Neuromorphic, In-memory computing IC design using SRAM/RRAM (application to LSTM/SNN for Keyword spotting) There are multiple openings for Post-doc, Research Assistant and PhD students for a new project on In-memory Computing in the group of Professor Arindam Basu, Department of Electrical Engineering, City University of Hong Kong. The focus of the project will be on in-memory computing implementations of neuromorphic algorithms for the application of LSTM/SNN for Keyword spotting using SRAM with extension to RRAM. In particular, novel In-memory ADC for nonlinear functions will be designed to push the state of the art. The candidate should have experience in doing analog/mixed-signal IC design with preference for experience in memory design. For Post-doctoral positions, experience with IC tapeout and measurement is a must. The maximum monthly salary allowance is HK$20,000 for research talents with a bachelor degree, HK$23,000 for those with a master degree, and HK$35,000(+10,000$ living allowance) for those with a doctoral degree. https://www.itf.gov.hk/en/funding-programmes/nurturing-talent/research-tale… Exceptional candidates can also be involved in other In-memory computing systems for the following applications: (1) Signal processing and compression in Brain-machine interfaces (2) Processing event-based video from Dynamic Vision Sensors in Autonomous driving. Candidates will get an opportunity to work on cutting-edge research with recent papers from the group published in top conferences like A-SSCC 2021, CICC 2022 and top journals like JSSC. Examples of recent work from our group in this direction: >> S. K. Bose, D. Singla and A. Basu, "A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS" IEEE Journal of Solid-State Circuits (JSSC), 2021. >> S. K. Bose and A. Basu, "A 389 TOPS/W, always ON Region Proposal Integrated Circuit using In-Memory Computing in 65nm CMOS," IEEE Journal of Solid-State Circuits (JSSC), 2022. >> X. Zhang and A. Basu, "A 915-1220 TOPS/W, 976-1301 GOPS Hybrid In-Memory Computing Based Always-On Image Processing for Neuromorphic Vision Sensors" Journal of Solid-State Circuits (JSSC), vol. 58, no. 3, 2023. >> S. K. Bose and A. Basu, "A 389 TOPS/W, 1262fps at 1Meps Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS" IEEE Asian Solid-State Circuits Conference (A-SSCC), Busan, South Korea, 2021. >> X. Zhang and A. Basu, "A 915-1220 TOPS/W Hybrid In-Memory Computing based Image Restoration and Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS," IEEE Custom Integrated Circuits Conference (CICC), 2022. >> A. Basu, L. Deng, C. Frenkel and X. Zhang, "Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions," IEEE Custom Integrated Circuits Conference (CICC), 2022. Interested candidates should send their CV to arinbasu(a)cityu.edu.hk<mailto:arinbasu@cityu.edu.hk> with details about their academic record as well as IC design experience. Shortlisted candidates will be interviewed. Applications are welcome year-round until the positions are filled. Thank you and look forward to working with you! Prof. Arindam Basu Department of EE City University of Hong Kong (More information about the PI and the lab can be found here: https://www.cityu.edu.hk/stfprofile/arinbasu.htm https://scholar.google.com/citations?user=Ton5pYMAAAAJ&hl=en https://sites.google.com/view/brainsyslab/home ) Regards, Arindam Basu Professor, Dept. of EE, City University of Hong Kong, Associate Editor: IEEE Trans. BioCAS, IEEE Sensors, Frontiers in Neuroscience Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited.

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