University of Cambridge
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Fully-funded PhD Studentship: Innate-adaptive Immune Interactions in Cancer Evolution University of Cambridge in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Oct 16, 2026
Country
United Kingdom
University
University of Cambridge
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About this position
Fully-funded PhD Studentship: Innate-adaptive Immune Interactions in Cancer Evolution at the University of Cambridge, supervised by Dr Tim Halim.
This PhD project explores how the immune system detects and responds to early cancer, with a particular focus on tissue-resident immune cells and group 2 innate lymphoid cells (ILC2). The aim is to understand how immune and non-immune cell types communicate within tumour niches and how these interactions influence tumour evolution and progression.
The project builds on ongoing work across several cancer types, including pancreatic, breast, ovarian, and lung cancer, using established mouse models and human tissue processing pipelines. The work is strongly experimental and combines advanced immunology, cancer biology, and computational analysis.
Training will be provided in high-parameter flow cytometry, multiplex imaging, single-cell and spatial transcriptomics, intravital imaging, and proximity labelling tools. The successful candidate will also develop skills in robust in silico analysis, supported by senior lab members, collaborators, and institute core facilities. The project includes both wet-lab and computational components, with hypotheses tested through in vitro assays, in vivo experiments, and patient-derived material.
The studentship is described as fully funded, although specific stipend or tuition details are not stated in the provided information. The course start date is 1 October 2027, and the application deadline is 16 October 2026.
Preferred applicants will have a background in cancer biology, immunology, or cell biology, with prior experience in methods such as flow cytometry/FACS, microscopy, cell culture, tissue processing, molecular biology, transcriptomic analysis, and/or murine or human tissue work. Interest in bioinformatics and computational biology is especially relevant.
Applications should be submitted through the University of Cambridge Applicant Portal. Applicants should select the October 2027 intake and ensure references are completed promptly when requested. The University of Cambridge encourages applications from all sections of society.
Funding details
Available
What's required
Applicants should have, or expect to obtain, a relevant background in cancer biology, immunology, or cell biology. Preferred experience includes cell biology or immunology laboratory techniques such as flow cytometry and FACS, immunofluorescence microscopy/imaging, cell culture, tumour cell killing assays, and tissue processing; molecular biology techniques such as DNA/RNA extraction, PCR, cloning, virus production, and ELISA; computational biology or bioinformatics skills including bulk, single-cell, or spatial transcriptomic data analysis and spatial biology software (e.g. HALO, Imaris); and murine or human tissue work such as tissue processing, in vivo models, surgical skills, transgenic animal models, or UK PIL training. Interest in bioinformatics and computational biology is specifically welcomed.
How to apply
Apply via the University Applicant Portal using the Apply button. Select the October 2027 start date. Arrange for referees to submit references promptly once requested after you complete the References section.
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