Computer vision, graphics, machine learning
Fully funded studentship working at the intersection of computer vision, computer graphics and machine learning with a focus on addressing open research challenges in the creative industries.
Start date1 April 2023
A stipend of £17,668 for 22/23, which will increase each year in line with the UK Research and Innovation (UKRI) rate, plus Home rate fee allowance of £4,596 (with automatic increase to UKRI rate each year). For exceptional international candidates, there is the possibility of obtaining a scholarship to cover overseas fees.
Applications are invited for a fully funded PhD studentship in the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey. The student will work at the intersection of computer vision, computer graphics and machine learning with a focus on addressing open research challenges in the creative industry. Research topics include, but are not limited to, photo-realistic human reconstruction and synthesis; multimodal neural rendering; immersive content production.
The ideal candidate must be self-motivated and have a strong interest in cutting edge research. In addition, the candidate must have a strong mathematical background and programming skills (C++/Python), prior experience with computer vision and graphics, and hands-on experience with machine learning toolkits (tensorflow/pytorch) and/or 3D tools (unity/unreal/blender/maya) is desirable.
You will need to meet the minimum entry requirements for our PhD programme. All applicants should have (or expect to obtain) a first-class degree in a numerate discipline (mathematics, science or engineering) or MSc with Distinction (or 70% average) and a strong interest in pursuing research in this field. Additional experience which is relevant to the area of research is also advantageous. IELTS minimum 6.5 overall with 6.0 in Writing, or equivalent
How to apply
Applications should be submitted via the Vision, Speech and Signal Processing PhD programme page. In place of a research proposal you should upload a document stating the title of the project that you wish to apply for and the name of the relevant supervisor.
Read our studentship FAQs to find out more about applying and funding.