The studentship is available immediately and covers both tuition fees and a maintenance grant for 3 years.
The studentship will investigate visual learning in the domain of weak supervision. Such weak supervision could take the form of object categorisation learnt from images gathered from the internet or using linguistics in the form of commentary to build concepts of objects and actions.
The focus will be upon the generic techniques to perform learning from noisy unlabelled data.
Candidates should hold a 1st or 2i honours degree or Masters degree or equivalent in a scientific discipline (e.g., Engineering, Physics, Mathematics or Computing), and should have good written/spoken English and demonstrate an aptitude for the research area.
Prior experience in computer vision, image processing or machine learning would be advantageous.
The studentship is available for International students and will include tuition fees and an annual bursary of approximately £12,800.
For exceptional candidates an additional top-up may be available.
Informal enquiries are welcome and may be made to Dr Richard Bowden (r.bowden [at] surrey.ac.uk) or Professor Josef Kittler (j.kittler [at] surrey.ac.uk)
Applications should be sent to Mrs Nan Bennett by e-mail (n.bennett [at] surrey.ac.uk) or by post to Postgraduate Admissions Office, Registry Student Centre, University of Surrey, Guildford, Surrey, GU2 7XH
Please quote Post Ref 6435
For further details, and application materials, contact: PhD Studentship at University of Surrey