Postdoctoral Research Associate in Reinforcement Learning
Wolfson Building, Parks Road, Oxford
Grade 7: £32,817 - £40,322 p.a.
We are pleased to announce an opening for a full-time Postdoctoral Research
Associate (PDRA) in Reinforcement Learning. The aim of the project is to
conduct basic research on the topic of deep reinforcement learning.
Depending on the skills and preferences of the selected candidate, the
research will focus on one of the following two areas. The first is
cooperative multi-agent reinforcement learning in which teams of cooperative
agents learn to coordinate their behaviour so as to maximize a shared team
reward signal. The second is Bayesian meta-reinforcement learning, in which
posterior beliefs are maintained to model epistemic uncertainty and planning
and/or learning are performed in the space of such beliefs in order to derive
optimal behaviour in the face of that uncertainty.
The primary selection criteria are a doctoral degree (or close to
completion) in Computer Science or related discipline, together with relevant
experience. Successful candidate must possess sufficient specialist knowledge
in the discipline to work within established research programmes and have
strong publication record in machine learning or closely related area.
The ideal candidate must have excellent communication skills, including the
ability to write for publication, present research proposals and results, and
present the research group at the meetings.
If you have any questions about the positions, please email Professor Shimon
Whiteson (email@example.com ).
The post is a full time fixed-term contract for 2 years. All applicants must
complete an application form and submit a CV and supporting statement. Job
shares will be considered.
The closing date for applications is 12 noon on 19 August 2021. Interviews
are expected to be held in September.
We are a Stonewall Top 100 Employer, Living Wage and Mindful Employer,
holding an Athena Swan Bronze Award, HR excellence in Research and Race
Equality Charter Bronze Award.
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
https:// 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 shared parental leave.
Demonstrating a commitment to provide equality of opportunity. We would
particularly welcome applications from women and black and minority ethnic
applicants who are currently under-represented within the Computer Science
Department. All applicants will be judged on merit, according to the selection
Contact Person : HR Administrator Vacancy ID : 152350
Contact Phone : Closing Date & Time : 19-Aug-2021 12:00
Contact Email : firstname.lastname@example.org