Research Associate in Multi-agent Reinforcement Learning

University College London - UCL Computer Science

You will be responsible for studying on the theory and applications of multi-agent reinforcement learning. You will be expected to conduct research on the areas that bridge reinforcement learning and game theory. You will apply new ideas to real-world scenarios using machine learning/deep learning toolkits.

This post is funded for 12 months in the first instance.

We expect candidates to have a PhD in machine learning and reinforcement learning. It is essential to have research experience in modelling reinforcement learning scenarios and running reinforcement learning tasks and have research papers published in relevant conferences such as ICML, NIPS or AAAI. Candidates should also have a strong engineering, data science, and scientific programming background. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £30,316 - £31,967) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.

UCL vacancy reference: 1731493      

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.

If you have any queries regarding the vacancy or the application process, please contact [Jun Wang] (+44 (0)20 3108 7089) or email .

Closing Date: 28 July 2018

Latest time for the submission of applications: 23:59

Interview Date: TBC

UCL Taking Action for Equality

Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.

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