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Mathematical modelling PhD at the University of Nottingham

Institute of Mathematics and its Applications

Nottingham

On-site

GBP 40,000 - GBP 60,000

Full time

Today
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Job summary

A leading academic institution in the UK is offering a unique PhD opportunity in mathematical modeling to advance research in clinical outcomes. This project combines computational modeling with laboratory work, ideal for candidates with a background in applied mathematics or biosciences. Candidates will gain valuable skills in data analysis and therapeutic developments. The application deadline is January 9, 2026, for the AIM Doctoral Training Programme, which includes partnerships with multiple universities.

Qualifications

  • Strong background in applied mathematics or a related discipline.
  • Interest in biological systems and laboratory work.
  • Experience in computational modeling and data analysis.

Responsibilities

  • Combine mathematical modeling with laboratory work.
  • Explore new therapeutic approaches in personalized medicine.
  • Integrate computational models with experimental data.

Skills

Mathematical modeling
Data analytical methods
Laboratory techniques

Education

Degree in applied mathematics or related discipline
Job description

Mathematical modelling PhD at the University of Nottingham:Using Haemostatic Data to Predict Clinical and Therapeutic Outcomes.

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.

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/

Deadline for application to AIM DTC is midday (GMT) on 09 January 2026.

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