School of Mathematical Sciences

Studentships and scholarships

Join an internationally-recognised centre of research excellence

PhD Scholarships available for 2023-24 

The School is able to offer a number of studentships for students, including EPSRC and BBSRC studentships funded through Doctoral Training Grants and School Scholarships.

There are up to 10 studentships available for students starting from 1 October 2023. 

School scholarships are open to both home and international students. The award provides full funding for fees (usually at UK fees rate) and living expenses.

EPSRC and BBSRC Scholarships are also available to both home and international students. 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 7 January 2023 will be considered.

Applications received after this date will be considered in subsequent rounds. Dates can be found on our admissions page. For the best chance of being awarded a scholarship we encourage you to submit your application for the January deadline.

International student scholarships in addition to School scholarships the University's 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. 

Future School funding opportunities will be updated here throughout the year.

 Further Funding Opportunities

Faculty of Science Doctoral Training Centre in Artificial Intelligence

The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for up to 6 fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming field of Artificial Intelligence, commencing 1st October 2023. The studentships will have a duration of 48 months, with an annual stipend at the UKRI rate (currently £17,668).

The Faculty of Science AI DTC is a new initiative by the University of Nottingham to train future researchers and leaders to address the most pressing challenges of the 21st Century through foundational and applied AI research on a cohort basis.  The training and supervision will be delivered by a team of outstanding scholars from different disciplines cutting across Biosciences, Chemistry, Computer Science, Mathematical Sciences, Pharmacy, Physics and Astronomy, and Psychology.

The University of Nottingham Faculty of Science AI DTC offers the opportunity to:

  • Choose from a wide choice of AI-related multidisciplinary research projects available, working with world-class academic experts in their fields;
  • Benefit from a fully-funded PhD with an attractive annual tax-free stipend;
  • Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development.

For full information about the programme, the research projects available and how to apply, please visit: 

Deadline for applications: March 31st 2023


School of Mathematical Sciences Studentship opportunity

A 3.5 year PhD studentship, beginning in October 2023. 

Project title: Machine learning for cardiac digital twins

Digital twins are virtual representations of physical objects, that are starting to be widely used in industry and healthcare. The twin can be used to track the health of the object, combining complex models and data. In this project, you will look at develop machine learning methodology to develop digital twins of the hearts of patients being treated for cardiac problems. In particular, looking at how to combine data that lives on manifolds, with patient specific simulations of their heart function. You will be joining a large team of researchers working on the problem, spread across Nottingham, Imperial College London, and Sheffield. As part of the project, you will be expected to collaborate with others in the team (mostly non-mathematicians), which will provide opportunities for developing a wide and valuable skillset.

Funding covers a stipend at the RCUK rate (£17,668 for 2022-23) and fees at the level of a UK domestic student.

Enquiries for this project should be directed to Dr Yordan Raykov, email:

Deadline for applications 21st March 2023.





School of Mathematical Sciences

The University of Nottingham
University Park
Nottingham, NG7 2RD

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