Principal and EPSRC-DTP PhD Studentships in Electronic Engineering and Computer Science

Key Skills

AI Robotic systems, AI technology, Computer Vision (CV), Data science techniques

Job Description

Level: PhD 

Country: Please see eligibility criteria below 

Value: Tuition fees and a London stipend of £19,668 per year 

No. of awards: 9 

Deadline: January 31st 2023 

About the Studentships 

The school of Electronic Engineering and Computer Science of the Queen Mary University of London is inviting applications for up to 9 PhD Studentships in specific areas in Electronic Engineering and Computer Science (please see the list of projects at the end of this page). The PhD studentships will cover tuition fees and offer a London stipend of £19,668 per year. The scholarships are open to both home and international candidates (please see below the eligibility criteria and the details on the tuition fees depending on the applicant status). 

 
About the School of Electronic Engineering and Computer Science at Queen Mary 

The PhD Studentship will be based in the School of Electronic Engineering and Computer Science (EECS) at Queen Mary University of London. As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are 8th in the UK for computer science research (REF 2021) and 7th in the UK for engineering research (REF 2021). The School is a dynamic community of approximately 350 PhD students and 80 research assistants working on research centred around a number of research groups in several areas, including Antennas and Electromagnetics, Computing and Data Science, Communication Systems, Computer Vision, Cognitive Science, Digital Music, Games and AI, Multimedia and Vision, Networks, Risk and Information Management, Robotics and Theory 

For further information about research in the school of Electronic Engineering and Computer Science, please visit: http://eecs.qmul.ac.uk/research/. 

Who can apply 

Queen Mary is on the lookout for the best and brightest students. A typical successful candidate:

• Should hold, or is expected to obtain an MSc in the Electronic Engineering, Computer Science, or a closely related discipline 

• Having obtained distinction or first class level degree is highly desirable 

Eligibility criteria and details of the different schemes 

EPSRC-DTP:  

• 3.5 years stipend and fees 

• Details: Open to home and international students. Please note that the number of students with International fee status which can be recruited is capped according to the EPSRC terms and conditions so competition for International places is particularly strong. 
• Expected start date: September 2023 

Principal Scholarships: 

• 3 years stipend and fees 
• Details: Open to home students. Please note that the scheme covers stipend and home tuition fees – for candidates with international fee status the difference needs to be covered from other sources. 

• Expected start date: September 2023 

How to apply 

Queen Mary is interested in developing the next generation of outstanding researchers and decided to invest in specific research areas. For further information about potential PhD projects and supervisors please see the list of the projects at the end of this page. 

Applicants should work with their prospective supervisor and submit their application following the instructions at: http://eecs.qmul.ac.uk/phd/how-to-apply/

 
The application should include the following: 

• CV (max 2 pages)
• Cover letter (max 4,500 characters) stating clearly in the first page whether you are eligible for a scholarship as a UK resident (see the link below) 
• Research proposal (max 500 words) 

• 2 References
• Certificate of English Language (for students whose first language is not English)
• Other Certificates

Please note that in order to qualify as a home student for the purpose of the scholarships, a student must have no restrictions on how long they can stay in the UK and have been ordinarily resident in the UK for at least 3 years prior to the start of the studentship. For more information please see: https://www.ukri.org/what-we-offer/developing-people-and-skills/esrc/funding-for-postgraduate-training-and-development/eligibility-for-studentship-funding/ 

Application Deadline 

The deadline for applications is the 31st of January 2023. 

For general enquiries contact Mrs. Melissa Yeo m.yeo@qmul.ac.uk (administrative enquiries) or Professor Ioannis Patras i.patras@qmul.ac.uk (academic enquiries) with the subject “EECS 2023 PhD scholarships enquiry”. 

List of available projects and corresponding academics: 

• AI-enabled Recognition of Negative Affect in Online Learning 
• Machine Learning of Physical Models
• Artificial Neuroscience: applying Mathematics to the understanding and control of Deep Learning
• Real-time violence detection using smartcamera stereovision video and efficient deep learning backbones
• Fine-grained unsupervised domain adaptation
• Energy-efficient electric propulsion systems for marine vessels and heavy-duty road vehicles
• The formation of ideas in online discourse
• Meaning coordination in dialogue
• Next generation NLP methods for meaning change