PhD Studentship: Rational Interaction in Autonomous Systems

Loughborough University

Start date of studentship: 1st October 2018


Primary supervisor: Dr S Fatima

Secondary supervisor: Prof E Edirisinghe

You will work in the Vision, Autonomous and Human-Computer Systems research group where Dr Fatima and many others work on a variety of related projects in multi-agent systems, machine learning, robotics, and digital imaging, funded from a range of sources and with links to industrial partners. Collaboration with others, especially from other disciplines, will be encouraged.

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.

Find out more:

The Department of Computer Science is part of the School of Science, and has attracted staff and students from all over the world, making it a diverse and stimulating environment in which to study. Research ranges from underlying formal methods to the practical creation and operation of distributed autonomous systems. The Department has an international reputation for research with projects funded by government bodies such as EPSRC and EU, and industries such as BAE, Rolls Royce, and ARM.  Further information may be found here:

Full Project Detail:

Many emerging applications of AI require interaction, cooperation, and coordination between machines. Within this context, this research is aimed at building multi-agent systems comprised of autonomous decision-making components. Each individual component must be designed to accomplish its own goals despite possible conflicts with the goals of others. Focus will be on modelling rational interaction and devising effective interaction mechanisms for enabling autonomous conflict resolution. The project will involve formal models from game theory together with machine learning, but the ultimate focus will be on real-world applications such as building a team of humans and manned/unmanned vehicles (UAVs), or a team of robots in which each robot must adapt its behaviour in accordance with the behaviours of the others. The research involves theoretical modelling as well as simulations.

Find out more:

Entry requirements:

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Computer Science or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: AI, multi-agent systems, game theory.

Funding information:

This studentship will be awarded on a competitive basis to applicants who have applied to this project and/or any of the advertised projects prioritised for funding by the School of Science.

The 3-year studentship provides a tax-free stipend of £14,553 (2017 rate) per annum (in line with the standard research council rates) for the duration of the studentship plus tuition fees at the UK/EU rate. International (non-EU) students may apply however the total value of the studentship will be used towards the cost of the International tuition fee in the first instance.

Contact details:

Name: Shaheen Fatima


Tel: +44 (0) 1509 222677

How to apply:

Applications should be made online at Under programme name, select Computer Science.

Please quote reference number: SF/CO/2018

Share this PhD
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:



Midlands of England