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Call for Participation & Papers - ACAIN 2024 - 4th Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Deadline: March 23

by Giuseppe Nicosia

Call for Participation & Call for Papers (apologies for multiple copies) _______________________________________________________________ The 4th International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain(a)icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Symposium Deadlines Paper Submission (Symposium): by Saturday March 23, 2024 (AoE). https://acain2024.icas.events/symposium-call-for-papers/ https://easychair.org/conferences/?conf=acain2024 Notification of Decision for Papers (Symposium): by Wednesday July 10, 2024. Camera Ready Submission (Symposium): by Monday July 20, 2024. Author Registration (Symposium): by July 20, 2024. Regular Registration (Symposium): by Saturday March 23, 2024. Late Registration (Symposium): from Sunday March 24, 2024. Course Deadlines Regular Registration (Course): by Saturday March 23, 2024. https://acain2024.icas.events/registration/ Late Registration (Course): from Sunday March 24, 2024. Oral Presentation Submission (Course): by Saturday March 23, 2024. Notification of Decision for Oral Presentation (Course): by August 31, 2024. SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. LECTURERS https://acain2024.icas.events/course-lecturers/ * Maria Eckstein, Google DeepMind, London, UK * Auke Jan Ijspeert, EPFL, Switzerland * Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK * Loic Matthey, Google DeepMind, London, UK * Kevin J. Miller, DeepMind & UCL, London, UK * Thomas Parr, Oxford University, UK * Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland * Alessandro Treves, International School for Advanced Studies, Italy More Lecturers TBA COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ SYMPOSIUM CALL FOR PAPERS: https://acain2024.icas.events/symposium-call-for-papers/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2024.icas.events/program-committee/ ORGANIZING COMMITTEE: https://acain2024.icas.events/symposium-committee/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Località Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events(a)rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain(a)icas.cc W: https://acain2024.icas.events FB: https://www.facebook.com/ACAIN.LakeDistrict -- >

March 22, 2024

Postdoc in Machine Learning for Neuroscience, Edinburgh

by Matthias Hennig

We are looking for a postdoctoral researcher to develop new machine learning approaches for the analysis of large-scale extracellular recordings. The position is part of a wider effort to enable new discoveries with state-of-the-art electrode arrays and recording devices, and jointly supervised by Matthias Hennig and Matt Nolan. It offers a great opportunity to work with theoretical and experimental neuroscientists innovating open source tools and software for systems neuroscience. Based in Edinburgh - vibrant neuroscience community and a great place to live. More information and application details: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/job/10003 Feel free to contact me for more information (m.hennig(a)ed.ac.uk) Best, Matthias -- Matthias H Hennig http://homepages.inf.ed.ac.uk/mhennig/ The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

March 22, 2024

Postdoc in Data Science for a National Neurophysiologic Database – Technical University of Denmark

by Tobias Andersen

Postdoc in Data Science for a National Neurophysiologic Database – Technical University of Denmark Do you want to play a key role in using personal health data for research in diagnosing, monitoring and treating neurophysiological disorders? We are looking for a data scientist with a keen interest in neuroscience/neuroinformatics to help us build the National Neurophysiologic Database in Denmark. The National Neurophysiologic Database is a 5-year project funded by the Novo Nordic Foundation with partners from Copenhagen University hospital, Computerome and the Technical University of Denmark. The purpose of the database is to collect neurophysiological data from all hospitals in Denmark and make it available for research. When completed, the database will contain data from more than 100.000 measurements, that can be linked to detailed patient records, making it the largest database of its kind worldwide and an unmatched resource for neurophysiological research. Responsibilities and qualifications Your role will be to structure the database in collaboration with researchers in neurophysiology, medicine and data science. You will build tools for data harmonization and quality control. You will also play a key role in analysing data for neurophysiological research. Finally, you will also participate in developing multiple privacy preserving levels of access to the database. Our ideal candidate holds a PhD in neuroinformatics, data science or a related field, and has a keen interest in developing a research career in neuroinformatics with the National Neurophysiologic Database at its center. The ideal candidate for the position will have the following qualifications: * Strong programming skills in Python and, preferably, also Matlab. * Experience in using version control systems and documenting code * Experience in managing larger software projects with many partners * Experience in communicating with end users and documenting their requirements * Solid experience with full machine learning pipelines including feature design and selection, classification and validation. * Experience in analysing neurophysiological data, particularly EEG * Good knowledge of signal processing * Motivation to pursue or, preferably, extend a research career in neuroinformatics and data science As a formal qualification, you must hold a PhD degree (or equivalent). We offer You will work with dedicated colleagues at the Section for Cognitive Systems at the Technical University of Denmark (DTU) and Copenhagen University Hospital. You will have working facilities at DTU and at Rigshospitalet. DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is initially 1 year but there are further career opportunities after the initial contract based on performance. Starting date is 1 May (or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here: https://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths Further information You can get further information from associate professor Tobias Andersen toban(a)dtu.dk<mailto:toban@dtu.dk> and professor Poul Jennum mobile phone +45 4025 4795. If you are applying from abroad, you may find useful information on working in Denmark and at DTU here: https://www.dtu.dk/english/about/job-and-career/moving-to-denmark Application procedure Your complete online application must be submitted no later than 15 April 2024 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link: https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1… Fill out the online application form, and attach all your materials in English in one PDF file. The file must include: * Application (cover letter) * CV * Academic Diplomas (MSc/PhD – in English) * List of publications * Optional: Letters of reference / Contact information for references Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. DTU Compute is an internationally unique academic environment spanning the science disciplines: mathematics, statistics and computer science. We are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. We play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour. The Section for Cognitive Systems at DTU Compute, is an internationally renowned group for machine learning research, with a strong emphasis on applications within the life sciences. Collaboration within the section will be encouraged. The section prioritize an friendly work environment and emphasizes a healthy work/life balance, You can find more information at https://www.compute.dtu.dk/english/research/research-sections/cogsys Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

March 22, 2024

Lecturer in Cognitive Neuroscience at the University of St Andrews

by Tom Otto

Dear Colleagues, We are seeking to appoint a lecturer in cognitive neuroscience in the School of Psychology & Neuroscience at the University of St Andrews. We are particularly interested in candidates who study areas at the interface of psychology and neuroscience and also in those with clinically related research and teaching interests. This is a permanent appointment, with a start date of August 1st 2024 or as soon as possible thereafter. Full details: https://www.vacancies.st-andrews.ac.uk/Vacancies/W/2508/0/423584/889/lectur… *Dr Thomas Otto* *Director of Postgraduate Studies (Research)* School of Psychology & Neuroscience to7(a)st-andrews.ac.uk St Mary’s Quad, South Street, St Andrews, Fife, KY16 9JP Office 2-24

March 22, 2024

Fully-funded PhD opening at the University of Oslo

by Eis Annavini

Are you a talented and innovative person who would like to contribute to the next generation of implantable sensor systems for medical devices? Come join us for a 3 years PhD fellowship at the University of Oslo! Our lab focuses on mechanisms behind tissue damage and recovery after neurotrauma; in this position you develop and test body sensor data analysis pipelines, and simulations and prototypes for an implantable sensor system for function recovery in spinal cord injuries patients (more information about the research group can be found here<https://www.med.uio.no/imb/english/research/groups/nerd/>). For further details about the position, and to apply, go to https://www.jobbnorge.no/en/available-jobs/job/259917/phd-candidate-in-medi… We look forward to hearing from you! The application deadline has been extended to April 15th, 2024. Best, Eis Annavini, PhD Head Engineer University of Oslo Institute of Basic Medical Sciences Phone: +47 22851201 Email: eis.annavini(a)medisin.uio.no Web: https://www.med.uio.no/imb/ [cid:image001.png@01DA7BA9.493E7390]

March 21, 2024

Multiple tenure-track openings in Neuroscience at SISSA, Trieste (Italy)

by Eugenio Piasini

The Neuroscience Department of the International School for Advanced Studies (SISSA; https://www.sissa.it/research/neuroscience ) invites expressions of interest from scientists from various fields of Neuroscience for multiple tenure-track positions with anticipated start in 2025. Ongoing neuroscience research at SISSA includes cognitive neuroscience, computational and theoretical neuroscience, systems neuroscience, molecular and cellular research as well as genomics and genetics. The Department intends to potentiate its activities in these fields and to strengthen cross-field interactions. Expressions of interest from scientists in any of these fields are welcome. The working and teaching language of SISSA is English. This is an equal opportunity career initiative and we encourage applications from qualified women, racial and ethnic minorities, and persons with disabilities. Candidates should have a PhD in a relevant field and a proven record of research achievements. A clear potential to promote and lead research activities, and a specific interest in training and supervising PhD students is essential. Interested colleagues should present an original and innovative plan for their independent future research. We encourage both proposals within existing fields at SISSA as well as novel ideas outside of those or spanning various topics and methodologies of Neuroscience. SISSA is an international school promoting basic and applied research in Neuroscience, Mathematics and Physics and dedicated to the training of PhD students. Lab space and other resources will be commensurate with the appointment. Shared facilities include cell culture rooms, viral vector facilities, confocal microscopes, animal facilities, molecular and biochemical facilities, human cognition labs with EEG, TMS, and eye tracking systems, mechatronics workshop, and computing facilities. Agreements with national and international MRI scanning facilities are also in place. SISSA encourages fruitful exchanges between neuroscientists and other researchers including data scientists, physicists and mathematicians. Interested colleagues are invited to send a single pdf file including a full CV, a brief description of past and future research interests (up to 1,000 words), and the names of three referees to neuro.search(a)sissa.it . Selected candidates will be invited for an online or in-person seminar and 1-on-1 meetings in summer/autumn 2024. Deadline: A first evaluation round will consider all applications submitted before 15 May 2024. Later applications might be considered if no suitable candidates have been identified yet.

March 21, 2024

10th EBRAINS Baltic-Nordic Summer School on Neuroscience, 28-31 May 2024 – Helsinki-Stockholm-Helsinki

by Peter Jedlicka

10TH EBRAINS BALTIC-NORDIC SUMMER SCHOOL ON NEUROSCIENCE FROM NEURONS TO THE VIRTUAL BRAIN, CONSCIOUSNESS AND ARTIFICIAL INTELLIGENCE 28 May 2024 – University of Helsinki, Helsinki, Finland 29-31 May 2024 – Cruise Ship Silja-Line Helsinki-Stockholm-Helsinki 30 May 2024 – KTH Royal Institute of Technology, Stockholm, Sweden https://lsmu.lt/en/events/ebrains/ We kindly invite you to attend 10th EBRAINS Baltic-Nordic Summer School on Neuroscience FROM NEURONS TO THE VIRTUAL BRAIN, CONSCIOUSNESS AND ARTIFICIAL INTELLIGENCE that will take place at the University Helsinki, Helsinki, Finland; KTH Royal Institue of Technology, Stockholm, Sweden, and a cruise ship Silja-Line Helsinki-Stockholm-Helsinki, symbolically linking European countries for research and collaboration in neuroscience and artificial intelligence. The 10th EBRAINS Baltic-Nordic Summer School on Neuroscience will provide you with the latest achievements in the brain research, implications to AI methods and applications in clinical practice. The combined workshops and 10th EBRAINS Baltic-Nordic Summer School on Neuroscience are focused on: * multiscale modeling of brain functions; * brain-inspired computation algorithms; * individualized virtual human brain models; * intersection of neuroscience and artificial intelligence; * concepts of consciousness in biological and artificial systems; * ethics in neuroscience and artificial intelligence. The target audience of this school are advanced master students, doctoral students and postdoctoral researchers in neuroscience, medicine, artificial intelligence, and other related fields such as mathematics, informatics, physics, chemistry, biology, neuropsychology, cognitive sciences. HOW TO APPLY The summer school has a limited capacity of 25 students; therefore, a selection will be performed by a scientific organizing committee. Submit your application: https://lsmu.lt/en/events/ebrains/ DEADLINE: 15 April 2024. TUITON FEE Registration fee is 200 € for selected participants. The tuition fee includes accommodation and meals on the cruise ship Helsinki-Stockholm-Helsinki on 29-31 May 2024, access to conference facilities during the course days; workshop at the University of Helsinki, Finland on 28 May 2024; workshop at KTH Royal Institute of Technology, Stockholm, Sweden on 30 May 2024; bus tour in Stockholm, Sweden on 30 May 2024. A limited number of scholarships is available. Please indicate in the application form should you need financial support. PRELIMINARY LIST OF SPEAKERS Leading neuroscientists of Europe will give the lectures on theoretical and clinical neuroscience and AI: * Viktor Jirsa (Director, System Neuroscience Institute, Aix-Marseille Université, France; EBRAINS Chief Science Officer) * Walter Senn (Institue of Physiology, University of Bern, Switzerland; EBRAINS) * Alain Destexhe, Director, European Institure of Theoretical Neuroscience, Paris, France; EBRAINS * Marja-Leena Linne (Tampere University, Finland) * Jeanette Helgren-Kotaleski (KTH Royal Institute of Technology, Stockholm, Sweden) * Michele Migliore (Institute of Biophysics, Palermo, Italy) * Simo Vanni (University of Helsinki, Finland) * Bruce Graham (University of Stirling, UK) * Peter Jedlicka (Justus Liebig University Giessen, Goethe University Frankfurt, Germany) * Herman Cuntz (Frankfurt Institute for Advanced Studies, Germany) * Arnd Roth (Wolfson Institute of Biomedical Research, University College London, UK) * Pawel Herman (KTH Royal Institute of Technology, Stockholm, Sweden) * Daniel Wojcik (Nencki Institute for Experimental Biology, Warsaw, Poland) * Ausra Saudargiene (Lithuanian University of Health Sciences, Kaunas, Lithuania) * Gaute Einevoll (Norwegian University of Life Sciences & University of Oslo, Norway) * Johannes Mehres (NeuroAI lab, EPFL, Switzerland) * Timothee Proix, Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland) * Pierpaolo Sorrentino (Aix-Marseille Université, France; EBRAINS) * Damien Depannemaecker (Aix-Marseille Université, France) * Spase Petkoski (Aix-Marseille Université, France) * Tuomo Mäki-Marttunen (University of Tampere, Finland) * Eero Pekkonen (Dept Neurology, Helsinki University Hospital, Finland) * Päivi Nevalainen (Helsinki University Hospital,Finland) * Saeed Montazeri (Dept of Physiology, University of Helsinki, Finland) PROGRAMME: https://lsmu.lt/wp-content/uploads/Program_EBRAINS_Nordic_Baltic_Summer_Sch… The summer school is organised in collaboration with EBRAINS (https://www.ebrains.eu/) European Brain Research Infrastructures. EBRAINS is the European network of digital infrastructure to accelerate brain research, advance innovations for brain health and translate brain knowledge into technological advances of AI. Scientific Committee and Organizers: * Ausra Saudargiene (Lithuanian University of Health Sciences, Lithuania) * Marja-Leena Linne (Tampere University, Finland) * Peter Jedlicka (Justus Liebig University Giessen; Goethe University Frankfurt, Germany) * Pawel Herman (KTH Royal Institute of Technology, Stockholm, Sweden) * Walter Senn (University of Bern, Switzerland) * Viktor Jirsa (Aix-Marseille Université, France) Environment protection: Silja-Line is operated by the Tallink Grupp that has environmental priority to reduce its CO2 emissions group-wide and in line with global emissions reductions targets. Tallink recognizes environmental protection and management as one of its highest priorities and that every effort is to be made to conserve and protect the environment from marine, atmospheric and other forms of pollution.

March 21, 2024

Opportunities at the Institute for Advanced Computational Science, Stony Brook University

by Giancarlo La Camera

*On behalf of the Institute for Advanced Computational Science at Stony Brook University* Interested in Computational Science? Get to Know IACS! Computational science is the use of models, simulations, and modern data analytics to solve complex problems and understand the world around us. It is an intrinsically multidisciplinary field of study. Computational science lies at the intersection of mathematics, informatics, natural and social sciences, and is a dynamic scientific method used to explain real-world processes and a method for solving increasingly complex problems. For instance, IACS researchers use computers to blow up stars, scan satellite imagery for the impacts of climate change, peer into the amazing world of quantum mechanics, and explore the mysteries of songbird communication. We use the world’s largest supercomputers and employ advanced Al. IACS students advance the intellectual foundations of computation and data, with high-impact applications in engineering; in the physical, environmental, life, and social sciences; and in the humanities. Join us! iacs.stonybrook.edu Stony Brook University/SUNY is an affirmative action, equal opportunity educator and employer. -- Giancarlo La Camera <https://www.stonybrook.edu/commcms/neurobiology/people/faculty_Giancarlo_La…>, PhD Associate Professor, Department of Neurobiology and Behavior Affiliate Faculty, Institute for Advanced Computational Science Affiliate Faculty, Institute for AI-driven Discovery and Innovation Director, Center for Neural Circuit Dynamics <https://www.stonybrook.edu/cncd/> Stony Brook University

March 19, 2024

[JOB ANNOUNCEMENT] Program Officer, Computational Cognition & Machine Intelligence, Air Force Office of Scientific Research

by GREENWALD, HAL S DR-04 USAF AFMC AFOSR/RTA

Do you dream of having strategic influence on the future of AI? Apply to be the program officer for the Computational Cognition & Machine Intelligence program at the Air Force Office of Scientific Research and help shape the future of AI and machine intelligence! AFOSR is the basic research funding arm of the US Air Force and Space Force, and we fund basic research that promises to advance future missions across nearly 40 areas of science and engineering. The CCMI portfolio funds high-risk, high-impact research on machine intelligence, including reasoning, inference, planning, decision making, autonomy, and the machine side of human-machine teaming, often informed by concepts and principles about higher-order cognitive processes responsible for complex problem solving and decision making. The Air Force is looking for experienced candidates with expertise in these areas who have a vision for the field, care deeply about the science, and want to work with researchers, other program officers, and interagency and international partners to advance that vision. There may also be opportunities to inform government policy and for research. Prospective applicants are encouraged to contact Lt Col Katrina Schweiker (katrina.schweiker.2(a)us.af.mil<mailto:katrina.schweiker.2@us.af.mil>), the hiring manager, with any questions. HOW TO APPLY (deadline April 15): DR-III (GS-14 equivalent, $139,395-181,216 with locality pay): https://airforcestem.recsolu.com/external/requisitions/iSqarQj9VdlB2OsnpyPV… DR-IV (GS-15 equivalent, $163,964-191,900 with locality pay): https://airforcestem.recsolu.com/external/requisitions/a-o1PMeb9GxPYjJjL3X0…

March 18, 2024

Fully-funded PhD opening (UK home fees status) @ Imperial College London (Dr Danyal Akarca & Prof Daniel Goodman).

by Danyal Akarca

*Fully funded PhD position opening* Intelligent Systems and Networks Group Department of Electrical and Electronic Engineering Imperial College London *Supervisors:* Dr Danyal Akarca & Prof Daniel Goodman *PhD student status:* UK “Home” fee status (for information, see here <https://www.imperial.ac.uk/study/fees-and-funding/tuition-fees/fee-status/#….> ) We are seeking a PhD candidate to join us at Imperial College London. This position offers a unique opportunity to explore the cutting-edge intersection of neuroscience and artificial intelligence, with the broad goal to investigateshared principles of computation within both artificial and biological intelligent systems. *Research topics:* These include, but are not limited to: (i) Information and communication within brain circuits of modular network topologies; (ii) Inductive structural and communication biases within brain-inspired neural networks; (iii) Comparing neural coding schemes; (iv) Resource rationality in task-solving neural networks and their scaling; (v) Evolutionary and developmental models of heterogeneity in the brain. Relevant papers of the supervisors include this <https://www.nature.com/articles/s42256-023-00748-9>and this <https://www.nature.com/articles/s41467-021-26022-3>. *Requirements:* There is a requirement for a Master’s level degree (at level Merit minimum) and that your undergraduate degree is at level UK 2:1, but a 1st class and/or Distinction (respectively) would be highly desirable. We welcome candidates from a broad range of disciplines, including Neuroscience, Engineering, Physics, Mathematics, Machine learning, Cognitive Science, and related fields. Applicants should have a strong analytical and computational background, with proficiency in programming languages commonly used in AI research (e.g., Python). Experience with neural network modelling, machine learning algorithms, or computational neuroscience tools is highly desirable. We are really looking for individuals who are curious, driven, and passionate about research in this exciting field. The ability to work collaboratively within a team and communicate effectively with both technical and non-technical audiences is essential. The position comes with funding, covering tuition fees with a stipend, covered by Danyal’s Imperial College Research Fellowship supported by Schmidt Futures. *Note, this position can only support UK Home fee status students. *This means that you would have been resident and settled in the UK at the start of the PhD (i.e., living in the UK most of the time) for the previous three years. If interested, please send an email to both supervisors with a CV and a paragraph summarising your interests (we welcome research proposals if you have one, but not necessary to write one) at danyal.akarca(a)gmail.com and d.goodman(a)imperial.ac.uk

March 18, 2024