Please note that I will not be replaying to job-related e-mails when it is evident that the sender did not consult this page, or is mass-sending it to a large number of academics.
There will be a number of summer internship opportunities in my group for registered University of Cambridge students. The list of the internships can be checked on the UROP web-site.
The Computer Laboratory generally does offer internships for non-registered (non-Cambridge) students, so please do not contact me asking for such. The Computer Laboratory also does not take part in Erasmus exchange programs. We make exceptions from that rule only when the research interest of a visitor are well aligned with the interests of the group, or there is on-going collaboration between our group and visitor's home institution.
We are currently offering a fully-funded PhD position:
- PhD Studentship / Research Assistant in Machine Learning for Computer Graphics [full advert]
The studentship above is advertised at the Research Assistant level. It offers compensation comparable to a PhD bursary but with the benefits of employment.
Candidates submitting a research proposal for the position above can refer to the following papers:
- P. Hedman, J. Philip, T. Price, J.-M. Frahm, G. Drettakis, and G. Brostow, “Deep blending for free-viewpoint image-based rendering,” ACM Trans. Graph., vol. 37, no. 6, pp. 1–15, Dec. 2018.
- R. S. Overbeck, D. Erickson, D. Evangelakos, M. Pharr, and P. Debevec, “A system for acquiring, processing, and rendering panoramic light field stills for virtual reality,” ACM Trans. Graph., vol. 37, no. 6, pp. 1–15, Dec. 2018.
The project may involve a combination of Image-Based-Rendering techniques with deep-learning. There will be also an emphasis on modeling perceptual limitations and using those to guide the solution.
Basides the above advertised position, I am happy to supervise PhD students in the following areas:
- Computational Displays - rendering algorithms, perceptual optimization
- Computational Photography - Light Field and high-dynamic-range capture
- Modeling colour vision for imaging and display applications
- Machine learning for future imaging systems (camera arrays, high dynamic range)
- Machine Learning for modeling visual perception
Strong candidates can apply to the general PhD admission program link
. The candidates need to secure their own funding, for example from one of the scholarships offered by the University of the Department. Note that you are recommended to consult the topic of your proposal with a potential supervisor before submitting the application.
Research Assistant (pre-doc) / Reseact Associate (post-doc)
We are looking for very strong candidates with background in
Computer Graphics or Computer Vision, and with the interest aligned with
the interests of my group. The candidates should preferably have
an established track record of publications in good venues (SIGGRAPH,
Eurographics, CVPR, ICCV, ECCV). If you are interested in applying for such a position, please contact me. The positions are either listed below or they will be officially advertised in due time. In either case, I am happy to discuss them informally.