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Position: Research Fellow (Training Fellow in Theoretical Neuroscience)
Institution: University College London
Department: Gatsby Computational Neuroscience Unit
Location: London, United Kingdom
Duties: We are now inviting applications for a post-doctoral training Fellowship. Under the guidance of a member of faculty the successful responsible will be responsible for an original research project which aligns with current research themes of the unit. For this role the research theme available for is for: Learning and inference in neural systems, using normative, typically Bayesian, approaches, but also making use of recent advances in Deep Learning. You will be responsible for the primary execution of the project (with opportunities for co-supervision of students), presentation of results at conferences and seminars, and publication in suitable media. There will also be scope for further independent projects where this will be of value for training and career development. We actively encourage collaboration in within and outside the Unit and support this by a generous annual travel allowance to support conference, workshop and research visits
Requirements: You should have a strong quantitative background in theoretical neuroscience, machine learning, statistics, computer science, physics or engineering; a record of publication in highly respected journals and conferences and must hold a PhD in a relevant field by the agreed start date of the position
   
Text: Research Fellow (Training Fellow in Theoretical Neuroscience), - Ref:1877095 Click here to go back to search results Apply Now UCL Department / Division Gatsby Computational Neuroscience Unit Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £36,028 - £43,533 per annum Duties and Responsibilities Funded by the Gatsby Foundation the Gatsby Computational Neuroscience Unit is a world-leading centre for research in theoretical neuroscience and machine learning. We are now inviting applications for a post-doctoral training Fellowship. Under the guidance of a member of faculty the successful responsible will be responsible for an original research project which aligns with current research themes of the unit. Further details of our research are at http://www.gatsby.ucl.ac.uk/research.html . For this role the research theme available for is for: Learning and inference in neural systems, using normative, typically Bayesian, approaches, but also making use of recent advances in Deep Learning. You will be responsible for the primary execution of the project (with opportunities for co-supervision of students), presentation of results at conferences and seminars, and publication in suitable media. There will also be scope for further independent projects where this will be of value for training and career development. We actively encourage collaboration in within and outside the Unit and support this by a generous annual travel allowance to support conference, workshop and research visits. This post is funded for 2 years in the first instance with potential to extend by a further year. Key Requirements You should have a strong quantitative background in theoretical neuroscience, machine learning, statistics, computer science, physics or engineering; a record of publication in highly respected journals and conferences and must hold a PhD in a relevant field by the agreed start date of the position. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the Apply Now button below. Please ensure you attach your CV, statement of research interests , and contact details for three academic referees. Please direct academic enquiries to Prof. Peter Latham (pel@gatsby.ucl.ac.uk) and any other enquiries please contact Mike Sainsbury (m.sainsbury@ucl.ac.uk). UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 31 Aug 2021 Latest time for the submission of applications 23:59 Interview date TBC This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Information Pack - TF 2021 Apply Now
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