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Position: Research Fellow/Senior Research Fellow
Institution: University College London
Department: Gatsby Computational Neuroscience Unit & Sainsbury Wellcome Centre
Location: London, United Kingdom
Duties: Funded by the Gatsby Charitable Foundation the Gatsby Computational Neuroscience Unit (GCNU) founded in 1998 is a world-leading centre for research in computational theoretical neuroscience and in probabilistic and statistical machine learning. The Unit's co-location with SWC creates the potential for a uniquely close interaction between theory and experiment in neuroscience and the integrated study of perception, control and learning. The Saxe lab is focussed on understanding learning in biological and artificial systems. We aim to develop a mathematical toolkit in the brain and mind. Our current focus is on the theory of deep learning, a class of artificial neural network models that take inspiration from the brain. Alongside this theoretical work, we develop close collaborations with experimentalists to empirically test principles of learning in biological organisms
Requirements: You should have a strong quantitative background in deep learning theory, machine learning, theoretical neuroscience, linguistics, statistics, or a related field; 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/Senior Research Fellow - Saxe Lab, - Ref:1886120 Click here to go back to search results Apply Now UCL Department / Division Gatsby Computational Neuroscience Unit & Sainsbury Wellcome Centre Location of position London Grades 7-8 Hours Full Time Salary (inclusive of London allowance) Grade 7 £36,770 - £44,388 per annum or Grade 8 £45,610 - £53,757 per annum Duties and Responsibilities The Sainsbury Wellcome Centre (SWC) commenced research operations in Spring 2016 bringing together leading world-leading scientists to investigate how brain circuits process information in to generate perception, form memories and guide behaviour. Developed through the vision of Gatsby Charitable Foundation and Wellcome and with substantial investment from these partners the mission of the SWC is to generate experimentally testable theories of brain function. Funded by the Gatsby Charitable Foundation the Gatsby Computational Neuroscience Unit (GCNU) founded in 1998 is a world-leading centre for research in computational theoretical neuroscience and in probabilistic and statistical machine learning. The Unit's co-location with SWC creates the potential for a uniquely close interaction between theory and experiment in neuroscience and the integrated study of perception, control and learning. The Saxe lab is focussed on understanding learning in biological and artificial systems. We aim to develop a mathematical toolkit in the brain and mind. Our current focus is on the theory of deep learning, a class of artificial neural network models that take inspiration from the brain. Alongside this theoretical work, we develop close collaborations with experimentalists to empirically test principles of learning in biological organisms. The lab is looking for an outstanding postdoctoral researcher to support the group's research programme and directly contribute to ongoing research projects. The appointment will initially be for a period of 2 years with the possibility of extension at the end of the period. Further details of the centre's research are at https://www.ucl.ac.uk/gatsby/our-research and sainsburywellcome.org/web/content/research-overview Key Requirements You should have a strong quantitative background in deep learning theory, machine learning, theoretical neuroscience, linguistics, statistics, or a related field; 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 direct academic enquiries to Dr Andrew Saxe (a.saxe@ucl.ac.uk) For any other enquiries please contact Mike Sainsbury (m.sainsbury@ucl.ac.uk). We particularly welcome female applicants and those from an ethnic minority, as they are under-represented within UCL at this level. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 25 Aug 2022 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. 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. RForSRF Saxe Lab - GCNU &SWC Apply Now
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