Applications are invited from highly motivated candidates for an EPSRC funded PhD studentship in Market Based Control of Complex Computational Systems. The successful candidate will work on a challenging research project in the areas of co-evolutionary learning of strategies (e.g., bargaining strategies, trading strategies, etc.), generalisation and robustness of evolved/learned strategies, multi-objective strategy learning or a closely related area. The studentship includes fully-paid tuition fee and up to GBP12,500 per year tax-free stipend. The studentship is available immediately until 30/9/2009 in the first instance (subject to satisfactory progress). Extension until 31/3/2010 is expected. Further extension (up to a total of three years from the start of PhD) will be possible (subject to satisfactory progress).
The successful applicant must have at least a 2.1 or above degree in computer science or a closely related field. We do consider outstanding applicants from mathematics, physics and engineering as long as they have sufficient computer science background. A good knowledge of evolutionary computation is required, especially co-evolution and machine learning. The successful applicant must have excellent analytical and programming skills. S/he must be an excellent team player who can work independently and communicate well with others.
Duration: The studentship is available immediately until 30/9/2009 in the first instance (subject to satisfactory progress). Extension until 31/3/2010 is expected. Further extension (up to a total of three years from the start of PhD) will be possible (subject to satisfactory progress).
Payments: Living expenses: up to GBP12,500 per year tax-free; plus tuition fee fully paid.
Eligibility: Open to European Union/United Kingdom applicants only.
Deadline: Until the post is filled.
For more information on the PhD programme at Birmingham: http://www.cs.bham.ac.uk/admissions/postgraduate-research/
Please apply according to the instructions given in the above website, NOT to the person below.
Enquiries: Prof. Xin Yao (x.yao@cs.bham.ac.uk)