School of Mathematical Sciences
Student

Studentships and scholarships

Join an internationally-recognised centre of research excellence

PhD Scholarships available for 2026/27

There are a limited number of scholarships offered through the Doctoral Landscape Awards, as well as projects funded by external bodies including EPSRC and BBSRC studentships and Doctoral Training Grants. These scholarships provide full funding for fees (usually at UK fees rate) and living expenses. 

The studentships are awarded on a competitive basis. All applicants who have applied and successfully completed an interview before 07 January 2026 will be considered.

International student scholarships in addition the International Student Recruitment team administers a number of scholarships. Many of the scholarships require an offer from the School before you can apply so early application is encouraged. 

 Further Funding Opportunities

 Future funding opportunities will be updated here throughout the year.

Mathematical modelling of haemostatic data to predict clinical and therapeutic outcomes

Funding:

This project is part of the AIM Doctoral Training Programme which has a range of exciting and diverse PhD projects at our 3 partner University institutions of Birmingham, Leicester and Nottingham which are now open for application for a September 2026 start. 

Further details on how to apply and criteria for funding can be found here: https://more.bham.ac.uk/mrc-aim/phd-opportunities/

Project details: 

This project offers the opportunity to combine mathematical and computational modelling and laboratory work to advance research in haemostasis, by exploring new ways to target anti- and pro-thrombotic therapies in a personalised way. The project would suit a candidate with a background in applied mathematics or a related discipline, with an interest in gaining experience in biological systems, including some guided, hands-on laboratory work, or with a biosciences/biomedical background interested in gaining expertise in modelling and advanced data analytical methods. You would join an existing collaborative network with a strong track record in postgraduate supervision, and the skills and resources to support the training needed. Throughout the studentship, you will acquire valuable technical skills, including data-driven computational modelling, model validation and laboratory techniques such as thrombin generation assays. You will also gain expertise in integrating computational models with experimental data and the machine learning and statistical skills required to analyse large multi-variate datasets. This is an exciting opportunity to acquire cross-disciplinary skills, alongside insights into a wide range of clinical conditions including diabetes and inherited bleeding disorders. 

Supervisor details: 

Professor John King

Deadline for making application to AIM DTP: 

For full details please see the AIM webpage: https://more.bham.ac.uk/mrc-aim/phd-opportunities/  

Midday (GMT) 09 January 2026.

 

 
 

 

School of Mathematical Sciences

The University of Nottingham
University Park
Nottingham, NG7 2RD

For all enquiries please visit:
www.nottingham.ac.uk/enquire