Skip to main content
What do you want to do?
Foundation
Undergraduate
Postgraduate
International
Advanced Clinical Practice
Aerospace Engineering
Anthropology
Arts and Health
Biomedical Sciences
Business School
Chemical Engineering
Civil Engineering
Clinical Education
Computer Science
Creative Writing
Criminology
Design School
Digital Media
Economics and Finance
Education
Electronic and Electrical Engineering
English
Environmental Sciences
Film Studies
Games Design
Geography
Global Challenges
History
Journalism
Law
Life Sciences
Mathematics
Mechanical and Automotive Engineering
Media and Communications
Medicine
Musculoskeletal Ultrasound
Music
Nursing
Occupational Therapy
Physician Associate
Physiotherapy
Politics and International Relations
Psychology
Public Health and Health Promotion
Social Work
Sociology
Sport, Health and Exercise Sciences
Theatre
Campus life
Study support
Student Services
Professional Development Centre
Research
Research degrees
Our partners and networks
International students
Study abroad and exchange
International Summer Schools
Global alumni
Business advice and support
Higher and Degree Apprenticeships
Employing our students
Research and development
Facilities and services
Procurement services
Help for SMEs
Health and safety training
Business newsletter
Support Brunel
Contact us
News and Events
Brunel Alumni
Giving back to Brunel
Contact us
About
Colleges

PhD topics for research students

Find below a list of currently available self-funded PhD topics.

Follow us on Twitter for latest topics
Check out fees and funding

We encourage all students to contact the supervisor or the alternative contact person for more information and an informal chat to discuss the process of applying and preparing your research statement. For more information on how to apply click here.

Reset
Description
Supervisor
Funding
Risk analysis based on extreme regression
Extremes may give rise to bigger severity of occurrences than ordinary risks and then turn notably complex. Management of extreme events often faces challenges in the practice of problem solving and d...
Self Funded
Neuromorphic-computing models and its applications
Neuromorphic-computing models are the ones that can simulate human brains architecture and connections. It is composed of large numbers of neurons and nonlinear connections. The developed deep neural ...
Self Funded
Investigating methods and applications of citation context analysis
Traditionally, scientometric/text-mining approaches have treated the content of scientific articles and their citations as distinct units of analysis. The term “citation context” refers to an approach...
Self Funded
Principles of Design for 4D Printing (Df4DP)
The next generation of Additive Manufacturing technologies will utilise the combination of different smart materials with Computer-Aided Design to produce multi-functional structures. The aim of this ...
Self Funded
Egr2 and 3 mediated T cell tolerance in cancer and their impact in immune checkpoint therapy
Tumour infiltrated lymphocytes (TILs) contain tumour reactive T cells and have been used as adoptive cell transfer therapy in patients which can mediate cancer regression. However, without in vitro ma...
Self Funded
High-Performance Compressed Straw Board (HPCSB): A New Generation of Building Materials
This project aims to introduce a greatly improved, lightweight variant of Compressed Straw Board (CSB) for the construction industry, strong enough to accommodate structural loads both in tension and ...
Self Funded
Developing a clinical tool to quantitatively assess and monitor upper limb and shoulder function in clinical and home settings
Upper limb and shoulder disorders are poorly defined, diagnosed and rehabilitated. Current management of these disorders is focussed on the prescription of physiotherapeutic treatments, yet the effica...
Self Funded
Underlying neuroscience of depression and loneliness and drug use and social policy
My research interests have always been within the field of psychiatry and I have a specific interest in depression and loneliness. My research has explored these conditions from a multi-disciplinary p...
Self Funded
Multivariate flood risk analysis under uncertainty and nonstationarity
Flood risk inference would generally be influenced by a number of factors (e.g. data availability, model selection), which lead to extensive uncertainty in risk inferences. This project aims to develo...
Self Funded
Bayesian Spatiotemporal Regression for Landscape Ecology
Landscapes are the result of numerous processes and factors that operate and interact across different spatial and temporal scales. These processes and factors include landscape structure process, soc...
Self Funded