Rational interaction in autonomous systems PhD
- Computer Science
- Entry requirements:
- 3.5 years
- not available
- Reference number:
- Start date:
- 01 January 2019
- Is funding available?
- UK/EU fees:
- International fees:
- Application deadline:
- 15 October 2018
of research rated 'internationally recognised' or higher
in the UK for Computer Science
Guardian University Guide 2019
in the UK for Computer Science
The Complete University Guide 2018
Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.
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.
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.
The Department of Computer Science is part of the School of Science at Loughborough. The Department has attracted staff and students from all over the world, making it a diverse and stimulating environment in which to study. Research within the Department ranges from underlying formal methods to the practical creation and operation of distributed autonomous systems. The Department has an international reputation for research with its projects funded by government bodies such as EPSRC and EU, and industries such as BAE, Rolls Royce, and ARM. Further information about the Department and the School can be found here.
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.
Primary supervisor: Dr S Fatima
Secondary supervisor: Prof E Edirisinghe
Find out more
For further project details please contact Shaheen Fatima, firstname.lastname@example.org, telephone number: +44(0)1509 222677
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.
Applicants must meet the minimum English language requirements.
Fees and funding
Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Special arrangements are made for payments by part-time students.
This 3.5 year studentship will be partly funded through an EPSRC DTP and includes:
- a tax-free stipend of £14,777 per annum
- UK/EU tuition fees
- additional funds via a Research Training Support Grant will be available.
Due to funding restrictions, this is only available to those who are eligible to pay UK/EU fees.
To qualify for a full award, all applicants must meet the EPSRC eligibility criteria including the minimum UK residency requirement, details can be found here.
How to apply
All applications should be made online. Under programme name, select 'Computer Science'
Please quote reference number: SF-2/CO/2018
|Application deadline:||15 October 2018|
|Start date:||01 January 2019|