Experimental and computational framework for optimising dosing strategies to mitigate T-cell exhaustion in T-cell engager therapies
Applications are invited for a fully funded 4-year non-clinical PhD studentship jointly supervised by Prof Graham Ladds (Pharmacology) and Dr Alberto Ippolito (AstraZeneca) with the successful applicant having the opportunity to work across both sites.
Project details: T-cell engager (TCE) therapies are increasingly prevalent in the clinical pipeline of pharmaceutical companies. While TCEs are promising therapeutic agents due to their high potency, a major pitfall is T-cell exhaustion, which reduces therapeutic effect of TCEs so preventing rapid regression of the tumor lesion. In this project you will evaluate the concept of "dosing holidays" and how they may mitigate T-cell exhaustion.
You will combine interdisciplinary approaches of extensive in-vitro experiments that quantify effector cell kinetics with translational pharmacokinetic pharmacodynamic modelling to inform, evaluate and design potential schedules to mitigate T-cell exhaustion.
Candidate and Eligibility: We are looking for a highly motivated and enthusiastic individual able to think critically and to work both independently and as part of a team. You should have or expect to obtain a first or upper second-class degree in a relevant subject from a UK university, or equivalent standard abroad. Prior research experience, for instance in pharmacology, modelling and immunology would be a plus, but is not essential.
This position is open to UK citizens or overseas students who meet the UK residency requirements (home fees) or can augment the funds to cover the extra costs associated with international student fees through scholarships or funding schemes. Students will not be allowed to supplement fees via self-funding.
Funding: This four-year studentship covers University composite fees (at home fees rate), a stipend (£21,500/year) and dedicated consumables and travel budgets.
Application process: Apply for a PhD in Pharmacology via the University's Applicant Portal. Quote the project title (Experimental and computational framework for optimising dosing strategies to mitigate T-cell exhaustion in T-cell engager therapies) and supervisor (Professor Graham Ladds) and select Michaelmas Term 2026 (October 2026).
Your application should include: a) Academic transcripts, b) CV (max two pages), c) Statement of interest (max 1000 words). Ensure you explain why you wish to pursue a PhD in this area, outline your research interests and background, and describe the skills and research experiences you will bring to the role, d) Two academic references, to be submitted by the application deadline (14 November 2025).
Deadline: 14 November 2025 with interviews to be held in December
The University supports equality, diversity and inclusion and encourages applications from all sections of society. It values teamwork, diversity, and a supportive research culture, enabling students to thrive and achieve internationally recognised research excellence.
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