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Research Associate - Bayesian Deep Learning/Reinforcement Learning

Applications for this vacancy closed on 12 November 2018 at 12:00PM
<div xmlns="http://www.w3.org/1999/xhtml"> <p></p><p>The Artificial Intelligence and Machine Learning group at the Department of Computer Science has a new opening for a Research Associate in Bayesian deep learning/Reinforcement learning, working together with Professors Yarin Gal and Shimon Whiteson, in an industrial partnership with Accenture.</p><br> <p>You will develop fundamental tools at the intersection of reinforcement learning and Bayesian deep learning, in the context of real-world problems, and involving both theoretical work, conducting original research in these fields, as well as extensive empirical analysis on challenging tasks.</p><br> <p>The primary selection criteria are a doctoral degree (or close to completion) in computer science or related discipline, together with related experience, a documented track record of the ability to conduct and complete research projects, as witnessed by published peer-reviewed work in machine learning (or a related area), and strong mathematical skills in probability and statistics. Good knowledge of the current state-of-the-art in reinforcement learning and Bayesian deep learning, and experience supervising PhD students and managing projects is highly desirable.</p><br> <p>The closing date for applications is 12.00 noon on Monday 12 November 2018.</p><br> <p>Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example http://www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html, as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example maternity leave.</p> </div>
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Department of Computer Science, Wolfson Building, Parks Road, Oxford.
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vacancy:applicationClosingDate
2018-11-12 12:00:00+00:00
vacancy:applicationOpeningDate
2018-10-02 09:00:00+01:00
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False
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The Artificial Intelligence and Machine Learning group at the Department of Computer Science has a new opening for a Research Associate in Bayesian deep learning/Reinforcement learning, working together with Professors Yarin Gal and Shimon Whiteson, in an industrial partnership with Accenture.


You will develop fundamental tools at the intersection of reinforcement learning and Bayesian deep learning, in the context of real-world problems, and involving both theoretical work, conducting original research in these fields, as well as extensive empirical analysis on challenging tasks.


The primary selection criteria are a doctoral degree (or close to completion) in computer science or related discipline, ...

The Artificial Intelligence and Machine Learning group at the Department of
Computer Science has a new opening for a Research Associate in Bayesian deep
learning/Reinforcement learning, working together with Professors Yarin Gal
and Shimon Whiteson, in an industrial partnership with Accenture.



You will develop fundamental tools at the intersection of reinforcement
learning and Bayesian deep learning, in the context of real-world problems,
and involving both theoretical work, conducting original research in these
fields, as well as extensive empirical analysis on challenging tasks.



The primary selection criteria are a doctoral degree (or close to completion)
in computer science or related discipline, ...
label
Research Associate - Bayesian Deep Learning/Reinforcement Learning
notation
137298
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