Principal and EPSRC-DTP PhD Studentships
Level: PhD
Country: Open to all
Value: Tuition fees and a London stipend of £17,609 per year
Number of Awards: Nine
Deadline: 30th January 2022
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 £17,609 per year. There are scholarships available for home, EU and overseas applicants.
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 11th in the UK for quality of computer science research (REF 2014) and 6th in the UK for quality of electronic engineering research (REF 2014). 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, EU and international students
- Expected start date: September 2022
Principal Scholarships:
- 3 years stipend and fees
- Details: Open to home, EU and international students
- Expected start date: September 2022
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 (https://epsrc.ukri.org/skills/students/guidance-on-epsrc-studentships/eligibility)
- 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://epsrc.ukri.org/skills/students/guidance-on-epsrc-studentships/eligibility)
Application Deadline
The deadline for applications is the 30th January 2022.
For general enquiries contact Mrs. Melissa Yeo at m.yeo@qmul.ac.uk (administrative enquiries) or Professor Ioannis Patras at i.patras@qmul.ac.uk (academic enquiries) with the subject “EECS 2022 PhD scholarships enquiry”.
List of available projects and corresponding academics:
Project Title | Corresponding Academic | Funding Scheme |
Computational analysis of chick vocalisations: from categorisation to live feedback | Emmanouil Benetos | QM Principal |
Machine Learning for Analysis of Affect and Mental Health | Ioannis Patras | QM Principal |
Metaphors we share: Leveraging cross-sensory associations in communication | Charalampos Saitis | QM Principal |
Exploring ankle joint and feet tapping neuromotor control for rehabilitation and exercising with virtual reality and robotics | Ildar Farkhatdinov | EPSRC DTP |
Conversational interpretation in support of mental health issues identification | Massimo Poesio | QM Principal |
Meaning coordination in dialogue | Matthew Purver | QM Principal |
Sensing Social Health | Patrick Healey | QM Principal |
Improving Energy Conversion Efficiency of Wind Turbines using Digital Twins and Advanced Control | Shady Gadoue | EPSRC DTP |
Efficient Deep Learning for Perception and Generation | Georgios Tzimiropoulos | QM Principal |