PhD Studentship in Display Image Quality (Fixed Term)
Fixed-term: The funds for this post are available for 3.5 years.
Applications are invited for a PhD studentship in display quality. The goal is
to develop algorithms for automated assessment of the quality of electronic
displays (OLED, LCD, and others) when presenting typical video content. The
algorithms may combine machine learning techniques with models of displays and
human vision to predict quality with respect to a given display (resolution,
size, peak luminance, refresh rate and others) and viewing conditions
(viewing distance, ambient light). This research may focus on spatial image
consistency, individual observer differences, and ambient light adaptation.
The goal is to develop computational models that can explain which aspects of
display capabilities influence the perceived quality of the content.
The successful candidate will be encouraged to work with the project partner,
LG Electronics, including taking part in internships.
The results of the work will be made freely available as open-source projects.
The successful candidate will start the PhD programme in January 2023.
Our group consists of PostDocs and PhD students investigating ways in which
computer vision, computer graphics and signal processing can be improved by
incorporating the models and knowledge of human vision. The group consistently
publishes their work at premium computer graphics and vision venues, such as
SIGGRAPH, CVPR, ECCV, IEEE TIP. The position is within the Graphics &
Interaction Group (https: // www. cl.cam.ac.uk/research/rainbow/) of University
of Cambridge's Department of Computer Science and Technology, a vibrant and
internationally leading environment. Collaboration with researchers at other
universities and industries around the world is encouraged and there are
strong links within the group with local, national and international
We seek candidates with a strong background in Computer Science, Colour
Science, and/or Image Processing (1st class honours degree or equivalent,
although a Master's is particularly desirable) with a particular interest in
colour, image processing and machine learning. The successful candidate must
work with large quantities of data and possess excellent programming and
software engineering skills.
Candidates need to meet all prerequisites for admission to the PhD in Computer
Science (please refer to: https: // www. cst.cam.ac.uk/admissions/phd).
This position is open to applicants from anywhere in the world; all university
tuition fees will be paid by the project, and the successful candidate will
receive a stipend at the UKRI rate (https: // www. ukri.org/our-work/developing-
to-fund-your-doctorate/), currently £17,668 per year.
The applicants are recommended to contact Dr Rafal Mantiuk (email
firstname.lastname@example.org) before applying. Dr. Mantiuk will advise on the
research proposal that needs to be submitted with the application.
Students wishing to pursue a PhD at the University of Cambridge are required
to submit a short research proposal outlining the work they intend to carry
out during the PhD. Candidates should get in touch with Dr Rafal Mantiuk
(https: // www. cl.cam.ac.uk/~rkm38/) to discuss this before applying,
outlining their ideas for initial research directions.
Complete applications, including two academic references, research proposal,
transcripts and degree certificates, CV and a cover letter, should be
submitted via the Applicant Portal by Oct. 4, 2022, see
https: // www. graduate.study.cam.ac.uk/how-do-i-apply.
Please provide a Curriculum Vitae (CV) and a cover letter outlining your
relevant past experience, drawing particular attention to relevant software
experience and linking to one or more examples of code written (e.g. a GitHub
handle). Queries regarding the application process should be directed to cst-
email@example.com using the reference number below.
Please quote reference NR33249 on your application and in any correspondence
about this vacancy.
The University actively supports equality, diversity and inclusion and
encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible
to live and work in the UK.
Department of Computer Science and Technology, West Cambridge
16 September 2022
4 October 2022