Applications for October 2025 are now open
Are you interested in medical research that matters to patients and the NHS?
The MRC-NIHR Trials Methodology Research Partnership (TMRP) aims to Improve health by improving trials. Our MRC Doctoral Training Partnership presents an opportunity to undertake training for a PhD in trials methodology.
We will advertise upcoming projects in various areas including statistics, data analytics and informatics, computer science, health economics, qualitative methods, mixed-methods, clinical medicine and psychology.
Professional development training and support
Students will become members of the TMRP, offering a broader spectrum of training activities and networking opportunities beyond their host Research Organisation. Students will be encouraged to join relevant TMRP working groups, where they will meet other PhD students, post-doctoral researchers and senior academic staff from relevant and complementary research themes. In addition to a structured ‘core’ training programme, we are able to provide a range of more specific training that students may choose to attend following consultation with their supervisors.
Our Associate Partner Research Organisations are able to offer opportunities for students that will include: research visits; internships with industry, regulatory bodies and clinical trials units; engagement with health professional and other research networks. We will encourage and support DTP students to apply for international internship schemes such as the UKRI UK-Canada Globalink Doctoral Exchange Scheme.
Below you will find the project advertisements from our 12 partner institutions. The links will take you through to a full description of the project, including details of the full supervisory team. For more guidance on how to apply, including the application form and further details, see How To Apply.
University of Aberdeen
Investigating statistical methods to assess the conduct and integrity of clinical trials.
Evaluation of Crowdsourcing Use for Inclusive and Diverse PPI Engagement in Clinical Trials.
Bangor University
How should the environmental impact of medicines be considered in the context of trial outcomes?
Developing linked pharmacometric-pharmacoeconomic analyses to inform clinical trial design.
University of Birmingham
University of Cambridge
Designs for sequences of early phase (modular) studies.
Operationally feasible Multi-Arm-Bandit Response Adaptive Trials.
University of Glasgow
Statistical analysis of time to event data with incomplete event status.
Optimising allocation ratios in platform trials: role of simulation
Institute of Cancer Research (ICR)
University of Leeds
Programmes of cluster-randomised trials for optimising learning healthcare systems.
Implementation of optimisation trials of complex health and social care interventions.
University of Liverpool
Using Machine Learning approaches within causal inference approaches to make methods more efficient.
iCASE: Natural Language Processing for Outcome Detection in Clinical Narrative Text.
Newcastle University
Overcoming complexities in design and analysis of multi-arm clinical trials.
Data linkage and analysis without a unique identifier in clinical trials.
Identifying and validating digital biomarkers of frailty in Parkinson’s disease.
University of Plymouth
Modelling multiple ordinal outcomes in clinical trials.
Queen Mary University London (QMUL)
Optimal design for the next generation of stepped wedge trials.
Pilot and feasibility studies for online clinical trials.
Collecting data to monitor and improve inclusivity.
University College London (UCL)
Improving Design and Analysis of Non-Inferiority Trials with sparse outcome data.