University of Warwick, Statistics

742 20096Position ID: 742-RF1 [#20096, 104121-0522]
Position Title: Research Fellow, Reinforcement Learning Methods
Position Location: Coventry, Coventry CV4 8UW, United Kingdom [map]
Subject Area: Deep Reinforcement Learning
Application Deadline: 2022/06/27 11:59PMhelp popup (posted 2022/05/31, listed until 2022/06/27)
Position Description:    

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Research Fellow, Reinforcement Learning Methods

Dept: WMG

£31,406 - £40,927 per annum

Fixed-term contract for 24 months or until 31 December 2025 (whichever is sooner), 1.0 FTE.

Location: University of Warwick, Coventry

Ref: 104121-0522

We are seeking to appoint one Research Fellow to work in the area of Deep Reinforcement Learning. The post holder will join the Data Science team, based in the Department of Statistics and WMG at the University of Warwick, to support an ambitious AI research programme funded by a UKRI Turing AI Acceleration Fellowship.

One of the main challenges in AI today is that of autonomous sequential decision-making: how can we give AI algorithms the ability to decide what actions to take whilst interacting with an uncertain environment in order to achieve a goal? Remarkable developments in this direction over the last few years have relied on deep reinforcement learning (DRL).

Many real-world applications are characterised by the interplay of multiple decision-makers that operate in the same shared-resources environment and need to accomplish goals cooperatively. The fast-developing area of collaborative multi-agent deep reinforcement learning (MADRL) has recently emerged to extend DRL to teams of autonomous agents.

Depending on your prior research experience and interests, you will have the freedom to focus a particular research aspect of interest including multi-agent communication, relational learning, and off-line learning. There will also be an opportunity to develop reinforcement learning policies from raw video data using computer vision technologies. Our advances will be motivated by the desire to enable autonomous cooperative systems in real-world applications. The project is well-supported by a number of industry partners. In the manufacturing sector, we have established collaborations with robotics manufacturers (Shadow Robots, Kinova and Inovo), a strategic partnership with the US National Institute of Standards and Technology (Robotic Systems for Smart Manufacturing Program) and with the HKUST Robotics Institute, amongst others. In the digital healthcare sector, the project is supported by NHS Trusts providing historical clinical data.

At the University of Warwick we are committed to supporting staff to achieve their potential. We currently hold the Athena SWAN Silver Award and the University of Warwick holds an Institutional Silver Award: a national initiative that recognizes the advancement of gender equality, representation, progression and success for all in academia. We are supportive of staff with caring responsibilities including a generous maternity/paternity/adoption/parental leave policy, and onsite childcare facilities. We will consider applications for employment on a part-time or other flexible working basis, even where a position is advertised as full-time, unless there are operational or other objective reasons why it is not possible to do so.

For an informal conversation about this role, please contact Professor Giovanni Montana (

Closing date: 27 June 2022.

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Contact: Paula Matthews
Postal Mail:
Department of Statistics
University of Warwick