Applications are invited for a PhD studentship in the Department of Computer Science.
- Qualification Type: PhD
- Location: London
- Funding amount: Full coverage of tuition fees (home or international) and an annual tax-free stipend of £19,668
- Hours: Full Time
- Closes: 30th November 2022
We are seeking to appoint one fully funded PhD student in Computer Science in collaboration with Tesco Ltd, the largest retail company in UK.
The successful candidate will work on exciting project to develop cutting edge computer vision and machine learning technology.
Supervised deep learning approaches have demonstrated highly successful performance in video action recognition. Main disadvantages of the supervised models critically rely on large datasets gained from expensive human annotation.
This motivates us to look beyond the supervised paradigm as supervised methods frequently suffer from many weaknesses.
This project aims to leverage weak supervision to develop good quality supervision for effective action recognition, where alleviates the burden of obtaining hand-labelled data sets.
The PhD is sponsored by City, University of London and Tesco. It will provide golden opportunity to work on mass scale real life retail data from Tesco.
The studentship is for 3 years and provides the full tuition fees (Home or International) and an annual tax-free stipend of £19,668.
The studentship will be awarded based on academic achievement and the potential to produce cutting edge research. Prospective applicant must:
- Hold a good Master’s degree (no less than a second-class honours degree or an equivalent qualification) in Computer Science, Artificial Intelligence, Mathematics or other relevant disciplines. We will also consider applications from those with a good honours degree or extensive professional experience in the area;
- Proficiency in two or more of the following areas:
- implementation and evaluation of deep learning architectures and algorithms;
- computer vision methods and models;
- deep learning in theory and practice.
- Solid mathematical ability
- Proficiency in programming in Python;
- Be able to demonstrate proficiency in the use of oral and written English.
How to apply
You are strongly encouraged to discuss your application in advance with Professor Jerry Shen and Professor Rajkumar Roy.
Visit our Computer Science research degrees web page for further information on making a formal application.
You do not need to submit a proposal as part of your application as the project has already been outlined. Though, applicants may be required to submit a research statement and plan.
When submitting your proposal, enter the title “Effective Video Action Recognition with Weak Supervision”, and you will automatically be considered for this studentship.
Details on online applications can be found in the 'How to apply' section at the web link above. The application should include the following supporting documents:
- Copies of Degree Certificates and Transcripts in official English translation – original will be requested before an offer is made.
- Official work e-mail addresses (not private ones) for two referees (one of which must be an academic).
- Proof of English Language proficiency (minimum average score of 6.5 IELTS, with a minimum of 6.0 in each of the four components if English is not your first language).
The successful candidate will formally start their doctorate on 1st February 2023.
For queries regarding the application process, please email the School.
Equality, diversity and inclusion
City, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture, for our whole community, including staff, students and visitors.
We welcome applications regardless of gender, sexual orientation, disability, marital status, race, nationality, ethnic origin, religion or social class. For more information on our approaches to encouraging an inclusive environment, please see our Equality, Diversity and Inclusion pages.