City, University of London
Investing in Academic Excellence
City, University of London's recent REF 2014 results show a marked increase in the quality of our research output, with over 75% of our submissions rated as being world-leading or internationally excellent. Our Schools aim to build on the success of City's 2014 REF and may offer studentships to a limited number of outstanding research students. To find out if you might be eligible, or if funding is available, please contact the School, Department or Research Centre in which you hope to study in order to discuss your research proposal and establish whether you can be supported.
School of Arts and Social Sciences
PhD fee waiver scheme
The School of Arts and Social Sciences is pleased to announce a PhD Fee Waiver Scheme for 2017/18. There are currently 10 full-time Fee Waiver places across the School.
City Law School
Two Graduate Teaching Assistants in Law
Closing Date: 27th March 2017
The City Law School is delighted to invite applications for two Graduate Teaching Assistant positions. These positions are available from 1 September 2017.
The successful applicants will receive an annual bursary (£16,553 in 2017/18), a full tuition fee waiver for three years and a one-off allowance of £1,000 which may be used across the three-years to support research needs such as specialist training, equipment or conference attendance.
Successful applicants will be expected to undertake teaching-related duties as required within the School, not normally exceeding four contact hours per week during term time. Training will be provided to support any teaching activity. The School also provides a broad research training programme to support the development of research skills.
School of Mathematics, Computer Science and Engineering
Seven doctoral studentships
Investing in Academic Excellence
Closing date: Applications for Mathematics closed on 10 April all other applications closing date May 19th 2017.
The School of Mathematics, Computer Science and Engineering at City, University of London is offering five full-time, three-year doctoral studentships for 2017/18 entry. Applications are invited from exceptional UK, EU and international graduates wishing to to pursue cutting-edge research in any of the School's key research areas.
The School is investing in academic excellence following its success in the recent REF 2014 which highlighted the world class quality of its research.
What is Offered
A doctoral studentship will provide:
- An annual bursary (£16,000 in 2017/18)
- A full tuition fee for UK and EU students. Applications are welcome from overseas applicants but the applicant must make appropriate arrangements to cover the the difference between the overseas and UK tuition fee.
The studentships will be awarded on the basis of outstanding academic achievement and the potential to produce cutting edge-research.
- Applicants must hold at least a 2.1 honours degree or merit level Masters degree in a relevant subject (or international equivalent)
- Applicants whose first language is not English must have achieved at least 6.5 in IELTS or a recognised equivalent
- Applicants must not be currently registered as a doctoral student at City, University of London or any other academic institution.
How to Apply
Applications must consist of; a research degree application form, 3 page research proposal, proof of academic qualifications, proof of English language proficiency (if you do not speak English as your first language) and two confidential references (one of which must be an academic reference).
The above documents should be compiled into a single document and submitted to firstname.lastname@example.org by the 19th May 2017. Application for Mathematics closed on 10 April 2017.
Applications are welcome from individuals wishing to pursue research in any of the areas listed below. You are encouraged to discuss your application in advance with a potential supervisor in the School. As part of your career development, you will be expected to contribute up to a maximum of 3 hours of unpaid teaching/lab demonstration assistance each week.
Please follow the links to find out more.
- Mathematics - Pure and Applied Mathematics; Representation Theory; Mathematical Physics; Mathematical Biology.
- Computer Science - Adaptive Computing Systems; Human‐Computer Interaction Design; Software Reliability; Machine Learning; Geographic Information Science.
- Library and Information Science
- Civil Engineering - Civil Engineering; Civil Engineering Structures; Fluid-Structure Interaction.
- Electrical and Electronic Engineering - Biomedical Engineering; Systems and Control; Photonics and Instrumentation.
- Mechanical and Aeronautical Engineering - Fluid Dynamics; Thermo-Fluids; Aerodynamics and Flow Control; Fluid-Structure Interaction; Compressor Technology.
For further Information email email@example.com.