Back to search results

PhD Studentship in Display Image Quality

University of Cambridge - Department of Computer Science and Technology

Qualification Type: PhD
Location: Cambridge
Funding for: UK Students, EU Students, International Students
Funding amount: A stipend at the UKRI rate, currently £17,668 per year.
Hours: Full Time
Placed On: 6th February 2023
Closes: 17th February 2023
Reference: NR34058

Department/Location: Department of Computer Science and Technology, West Cambridge 

Fixed-term: The funds for this post are available for 3.5 years.

The Project

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 start the PhD programme in October 2023.

Research Group

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 (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 companies.

Candidates

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.

The applicants are recommended to contact Dr Rafal Mantiuk (email rafal.mantiuk@cl.cam.ac.uk) before applying. Dr. Mantiuk will advise on the research proposal that needs to be submitted with the application.

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 17th of February 2023, 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-graduate-admissions@cst.cam.ac.uk using the reference number below.

For the full advert please see: Studentship in Display Image Quality - Job Opportunities - University of Cambridge

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

PhD tools
 

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Ok Ok

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Manage your job alerts Manage your job alerts

Account Verification Missing

In order to create multiple job alerts, you must first verify your email address to complete your account creation

Request verification email Request verification email

jobs.ac.uk Account Required

In order to create multiple alerts, you must create a jobs.ac.uk jobseeker account

Create Account Create Account

Alert Creation Failed

Unfortunately, your account is currently blocked. Please login to unblock your account.

Email Address Blocked

We received a delivery failure message when attempting to send you an email and therefore your email address has been blocked. You will not receive job alerts until your email address is unblocked. To do so, please choose from one of the two options below.

Max Alerts Reached

A maximum of 5 Job Alerts can be created against your account. Please remove an existing alert in order to create this new Job Alert

Manage your job alerts Manage your job alerts

Creation Failed

Unfortunately, your alert was not created at this time. Please try again.

Ok Ok

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

 
 
 
More PhDs from University of Cambridge

Show all PhDs for this organisation …

More PhDs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge