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Position: Research Fellow (Training Fellowship in Theoretical Neuroscience or Machine Learning)
Institution: University College London
Department: UCL Gatsby Computational Neuroscience Unit
Location: London, United Kingdom
Duties: The research themes (and associated faculty mentors) for which Training Fellowships are currently available are: Algorithms and mechanisms of inference and planning under uncertainty in neural systems (Maneesh Sahani); Decision-making (Peter Latham); Inferential models of context-dependent auditory processing (Maneesh Sahani); Learning, plasticity and Bayesian inference (Peter Latham); Statistical and machine-learning approaches to analysis and interpretation of population neural data (Maneesh Sahani); Bayesian non-parametric methods (Maneesh Sahani/Peter Orbanz)
Requirements: Candidates will be required to demonstrate 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 Fellowship in Theoretical Neuroscience or Machine Learning), - Ref:1814770 Click here to go back to search results Apply Now UCL Department / Division UCL Gatsby Computational Neuroscience Unit Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £35,328 - £42,701 per annum Duties and Responsibilities The Gatsby Computational Neuroscience Unit invites applications for postdoctoral training fellowships in theoretical neuroscience, machine learning and related areas. The Unit is a world-leading centre for research in theoretical neuroscience and machine learning with significant interests in: theories of perceptual processing, neural coding, neural dynamics and learning; the interpretation of neural data; supervised, unsupervised and reinforcement learning; nonparametrics including kernel and Bayesian methods; optimization; and applications of machine learning, particularly to neural data. We have strong links with experimental neuroscience and cognitive science groups (particularly in the Sainsbury-Wellcome Centre for Neural Circuits and Behaviour with which the Unit shares a purpose-built home); with the departments of Computer Science and Statistical Science (with whom we participate in the Centre for Computational Statistics and Machine Learning) and with collaborators at institutions around the world. For further details of our research please see http://www.gatsby.ucl.ac.uk/research.html . Funding from the Gatsby Charitable Foundation is provided for fellowships as part of a continuing program to train a succession of postdoctoral researchers in theoretical neuroscience and machine learning. Where a position is funded in this way, the initial appointment will be for a period of up to two years. To ensure the intellectual renewal of the unit, training fellows are not funded by the Foundation beyond a maximum three year period. Research Fellows will carry out original research in theoretical neuroscience or machine learning under the guidance of a member of faculty. Primary projects will align with the current themes of research listed below, with scope for further independent projects where mutually agreed to be of value for the Fellows training and career development. The research themes (and associated faculty mentors) for which Training Fellowships are currently available are: Algorithms and mechanisms of inference and planning under uncertainty in neural systems (Maneesh Sahani). Decision-making (Peter Latham). Inferential models of context-dependent auditory processing (Maneesh Sahani). Learning, plasticity and Bayesian inference (Peter Latham). Statistical and machine-learning approaches to analysis and interpretation of population neural data (Maneesh Sahani). Bayesian non-parametric methods (Maneesh Sahani/Peter Orbanz). Research Fellows will be responsible for the primary execution of research projects (with opportunities for co-supervision of students and for collaboration), presentation of results at appropriate conferences and seminars, and authoring of manuscripts for publication in suitable venues. Key Requirements Candidates will be required to demonstrate 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 Collaboration within and outside the Unit is actively encouraged and supported through the provision of a generous annual travel allowance to support conference, workshop and collaborative research visits. 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 be sure to attach to your online application a copy of your CV, statement of research interests, and interests clearly specifying the research theme(s) and corresponding faculty mentor(s) of interest (and highlighting relevant experience), and full contact details (including e-mail addresses) for three academic referees. CVs should include: education history, details of current or most recent position and details of previous employment including any career breaks or fellowships. Incomplete applications will not be reviewed by the selection committee. Academic enquiries should be directed to the appropriate faculty mentor, Prof. Maneesh Sahani ( maneesh@gatsby.ucl.ac.uk ) or Prof. Peter Latham ( pel@gatsby.ucl.ac.uk ) For queries regarding the application process, 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 9 Aug 2019 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. Research Fellow GCNU jd&ps Apply Now
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