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PhD Studentship in Image Quality for Deep Learning - School of Computer Science and Engineering

University of Westminster - School of Computer Science and Engineering

Qualification Type: PhD
Location: London
Funding for: UK Students, EU Students
Funding amount: A fee waiver** (Home rate) with a fixed annual stipend of £16,650 (from Oct 2022) per year for three years
Hours: Full Time
Placed On: 3rd December 2021
Closes: 18th February 2022

The School of Computer Science and Engineering at the University of Westminster is pleased to offer a Studentship for prospective PhD students starting in September 2022.  Located in the heart of London, the School of Computer Science and Engineering has an active research culture to which our well-established doctoral research programme makes a vital contribution.

Applications are invited for the following award, which is/are tenable for up to three years for full-time study subject to minimum enrolment periods*:

A fee waiver** (Home rate) with a fixed annual stipend of £16,650 (from Oct 2022) per year for three years.

Please note that while overseas fee-paying students may apply, the fee waived would be at the home rate and successful applicants will need to pay the difference in the tuition fee if assessed as overseas. 

The project

Deep Learning (DL) has been the fastest developing area in computer vision applications. DL network training and validation is based on large number of images, the quality of which is usually not quantified (metrified), nor necessary optimised.  We welcome proposals that addresses research which aims to establish a systematic approach to analyse the performance of DL network architectures with respect to degradations of various aspects of input (camera) image quality. The results will produce a framework for quantifying the quality of images inputted to the networks, by recommending suitable experimental paradigms, measures that can inform on optimal network performance as well as on network operational boundaries.

The graduate student will be a member of the Computational Vision and Imaging Technology (CVIT) research group (www.westminster.ac.uk/cvit) of the Department of Computer Science and Engineering, and will be co-supervised by academic staff and industry colleagues. The PhD studentship is co-funded by Dr J. Y. Park, a University of Westminster BSc/MSc/PhD alumnus.

For more information on the project please contact Prof. Sophie Triantaohillidou, by email at triants@westminster.ac.uk

The academic staff member responsible for PhD admissions in the School is Dr Alexandra Psarrou who can be contacted by email at psarroa@westminster.ac.uk.

For more information on the studentship and how to apply:

https://www.westminster.ac.uk/study/postgraduate/research-degrees/studentships/phd-studentship-in-image-quality-for-deep-learning-school-of-computer-science-and-engineering

Read about our entry requirements here:

https://www.westminster.ac.uk/study/postgraduate/research-degrees/entry-requirements

The closing date for applications is 5pm on 18th February 2022.  Note, the application form will not be available between 7th and 11th of February due to a system upgrade.

Interviews will be held: between 14 and 19 March 2022

September 2022 enrolment, October 2022 Start

The Studentship title is Image Quality for Deep Learning

* Minimum full-time enrolment before submission is 33 months. 

** Fee waivers are in place for the three year studentship.  Following that there is a six month no fee period for writing up.  Should a doctoral research student not have submitted by the end of the no fee period then a £1,500 fee is applicable.

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