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Fully-funded PhD studentship in innate-adaptive immune interactions in cancer evolution University of Cambridge in United Kingdom
Degree Level
PhD
Field of study
Immunology
Funding
Fully funded PhD studentship. No stipend amount or tuition details are stated in the post.
Deadline
Oct 16, 2026
Country
United Kingdom
University
University of Cambridge

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About this position
Fully-funded PhD studentship at the University of Cambridge / Cancer Research UK Cambridge Institute in innate-adaptive immune interactions in cancer evolution.
The project is supervised by Dr Tim Halim and focuses on how tissue-resident immune cells, especially group 2 innate lymphoid cells (ILC2), coordinate with other immune and non-immune cells during early tumour development and cancer evolution. The work spans multiple cancer types, including pancreatic, breast, ovarian, and lung, and aims to uncover mechanisms that could be targeted therapeutically to slow or halt tumour progression.
Students will use a mix of immunology, cell biology, cancer biology, and computational biology methods. Techniques mentioned include high-parameter flow cytometry, multiplex imaging, single-cell and spatial transcriptomics, intravital imaging, proximity labelling, in vitro assays, in vivo models, and analysis of patient-derived material. Training in in silico analysis is provided.
Preferred background includes experience in flow cytometry/FACS, microscopy, cell culture, tumour assays, tissue processing, molecular biology, transcriptomic analysis, and murine or human tissue work. Interest in bioinformatics and computational biology is also valued.
Deadline: 16 October 2026. Start date: 1 October 2027. Apply through the University Applicant Portal and quote reference SW51021.
Funding details
Fully funded PhD studentship. No stipend amount or tuition details are stated in the post.
What's required
Applicants should have or expect a strong background in cancer biology, immunology, cell biology, or related areas. Preferred experience includes flow cytometry/FACS, immunofluorescence microscopy, cell culture, tumour cell killing assays, tissue processing, DNA/RNA extraction, PCR, cloning, virus production, ELISA, bulk/single-cell/spatial transcriptomic analysis, spatial biology tools such as HALO or Imaris, and murine or human tissue work. Interest in bioinformatics and computational biology is desirable; training will be provided.
How to apply
Apply via the University Applicant Portal using the postgraduate course link provided. Select October 2027 as the intended start date and quote reference SW51021 in your application and correspondence. Ask referees to submit references promptly once requested.
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