Fully-funded PhD Studentship / Scholarship
at the University of Birmingham, UK
Project: Experience-based Optimisation
This project aims at improving the efficiency of optimisation processes
for problems inspired by industrial application scenarios. The key research
issues include the conservation, abstraction and modelling of experience
gained from optimising one problem instance and the smart integration of such
experience/knowledge in solving related problem instances. In this project,
novel algorithms and techniques will be designed that will become more and
more effective as they solve more and more problem instances. The key research
challenges include: the representation of experience; the mapping/transfer of
the problem-solving experience across problem instances; the incorporation of
transferred experience into solving the current problem instance at hand.
The PhD studentship is for three-years, covering tuition fees and GBP14,553
per year tax-free living stipends. Additional funding is available for conference
travels and research collaborations with industry.
The University of Birmingham has a long tradition of supporting good PhD
students in natural computation. Our former PhD students have won prestigious
IEEE Computational Intelligence Society Outstanding PhD Dissertation Awards
(twice), CPHC/BCS Distinguished Dissertation Award (Runner-up), and highly
competitive Leverhulme Early Career Fellowship, EPSRC Theoretical Computer
Science Postdoctoral Fellowship, etc.
Application Deadline and Expected Starting Date
The PhD studentship is available immediately. This position will remain open until it
The successful applicant must have at least a 2.1 or above degree in computer
science or a closely related field (or a Distinction at the MSc level). We do
consider outstanding applicants from mathematics, physics and engineering as
long as they have sufficient computer science background. Previous research
experience is an advantage, but not essential. Excellence is our top priority.
Both EU and overseas applicants are welcome.
How to Apply
Only online applications will be considered. For further details of how to
apply, please visit http://www.cs.bham.ac.uk/admissions/postgraduate-research/
and follow the instructions and links there.
Contact Person for Research Issues
Prof. Xin Yao: email@example.com.