Research Associate: Data Driven Decision Making Policy Learning in Multi-Agent Environments

Updated: over 2 years ago
Location: London, ENGLAND
Job Type: FullTime
Deadline: 31 Oct 2021

As part of the University’s ongoing commitment to redeployment, please note that this vacancy may be withdrawn at any stage of the recruitment process if a suitable redeployee is identified.

We seek to employ an excellent Research Associate (RA) at the Institute for Digital Technologies on a fixed-term contract for 12 months. The RA should have an interest and track record in subjects such as machine learning, simulation, signal processing, and data processing. The RA will be expected to collaborate closely with the academics and the industrial partners and take an active role in the delivery of a recently granted research project. It is an excellent opportunity for potential candidates to be part of a dynamic team and take part in the continuous development of the institute’s research profile.

The research project is supported by the Engineering and Physical Sciences Research Council (EPSRC) and is partnered by an Elite Football Academy and . The overall aim of the project is to develop data-driven decision-making algorithms for use in real-world multi-agent environments. The developed decision-making algorithms will then be utilized for simulation of multi-agent systems. This ambitious project is made feasible by a unique, real-world multi-agent data set provided by the industrial partner. The impact activities will involve the research team to engage with multiple leading industrial organizations in the area of interactive gaming, intelligent mobility and sports analytics. The successful candidate will manage the research in the multi-agent policy learning algorithm design and development for the simulator.

The project will require travelling to the project partners’ sites from time to time for the success of the collaboration. The successful candidate will have solid research background with a track record demonstrated by publications in reputed journals and conferences, preferably in the areas of applied machine learning, and hold a relevant PhD degree in line with the required research areas. The applicant is required to have experience in training deep neural networks using python packages or be willing to learn such skills. The successful candidate will be willing to use their knowledge and expertise in the respective fields in developing research ideas suitable for further funding and contribute to the postgraduate research supervision as appropriate.

Job Grade  

Specialist and Supporting Academic Grade 6

Job based in London.

Closing date for applications: 31 October 2021

Please follow the link  for further information.



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