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University of Cambridge

Fully-funded PhD studentship: Innate-adaptive immune interactions in cancer evolution

Closes:

356

Supervisor: Dr Tim Halim

Department/location: Cancer Research UK Cambridge Institute

Deadline for application: 16th October 2026

Course start date: 1st October 2027

Project details

For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research-groups/halim-group/

The immune system is capable of detecting cancer, which forms the basis of immunotherapy. While immunotherapy has revolutionised cancer treatment in recent years, it remains unclear how exactly the immue system detects and responds to pre-cancereous lesions. Nevertheless, it is known that the activatin (or deactivation) of anti-cancer immune cells involves many different cell-types that communicate dynamically in specific tissue niches.

Our laboratory has an interest in resolving the interactions between tissue-resident immune cells, with the overall goal of identifying key mechanisms that can be targeted therapeutically at different stages of cancer. We found that recently discovered, tissue-resident, group 2 innate lymphoid cells (ILC2) can play key roles in coordinating different types of immune and non-immune cells that play critical roles in tumourigenesis (i.e. Tregs, Dendritic Cells, cancer associated fibroblasts, etc.). The project will start by asking if ILC2, or other tissue-resident innate immune cells, play an important role during tumour evolution.

The PhD project will build on ongoing work in different cancer types (pancreatic, breast, ovarian and lung), where we have already developed mouse models and human tissue processing pipelines. The candidate will learn and use cutting edge immunological methods (high parameter flow cytometry, multiplex imaging, single cell and spatial transcriptomics) in conjuction with intravital imaging and proximity labelling tools to define the dynamic interaction of immune cells in cancer. The candidate will need to master both complex 'wet lab' techniques, as well as learn how to perform robust in silico analysis of data (training will be provided by senior lab members, collaborators, or experts in the Institute core facilities). The candidate will generate hypotheses from these large descriptive datasets, which will then be tested rigorously using in vitro assays, in vivo, and ultimately in patient derived material. The overall ambition is to uncover novel mechanistic insights about immune regulation in early cancer, and to design interventions that halt or delay tumour progression.

References/further reading

  • Yip T et al. Science 2026 (DOI: 10.1126/science.aea5113)
  • Stockis J et al. Science Immunology 2024 (DOI: 10.1126/sciimmunol.adl1903)
  • Schuijs MJ et al. Nature Immunology 2020 (https://doi.org/10.1038/s41590-020-0745-y)

Preferred skills/knowledge

Cell biology / Immunology laboratory experience, such as: Flow cytometry and FACS, immunofluorescence microscopy/imaging, cell culture, tumour cell killing assays, tissue processing, etc.

Molecular biology laboratory experience, such as: DNA/RNA extraction, PCR, cloning, virus production, ELISA, etc.

Computational biology laboratory experience, such as: bulk- singl cell- or spatial-transcriptomic data analysis, spatial biology analysis using HALO, Imaris, etc.

Murine or human tissue work, such as: tissue processing, tumour or immune-related in vivo models, surgical skills, transgenic animal models, UK PIL training, etc.

Knowledge: background in cancer biology, immunology, cell biology, etc. Training and interest in bioinformatics, computational biology.

How to apply

Please apply via the University Applicant Portal at: https://www.postgraduate.study.cam.ac.uk/courses/directory/cvcrpdmsc

You should select to commence study in October 2027.

References

We would appreciate it if you could ask your referees to submit their references as soon as possible upon request, despite the longer University deadline for references. They will receive a request once you have completed the References section of your application.

Please quote reference SW51021 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Download further information

Key information

Department/location: Cancer Research UK Cambridge Institute

Reference: SW51021

Category: Studentships

Date published: 9 September 2026

Closing date: 16 October 2026

Job details

Title
Fully-funded PhD studentship: Innate-adaptive immune interactions in cancer evolution
Employer
University of Cambridge
Location
Cambridge, United Kingdom
Published
Sep 15, 2026
Closes:
Oct 16, 2026
Job type
Full time, Student / Phd Jobs
Field
Postgrad Student Opportunity

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Frequently Asked Questions

🎓What are the eligibility requirements for this fully funded PhD studentship?

Applicants should have a strong background in cancer biology, immunology, or cell biology. Preferred laboratory experience includes flow cytometry/FACS, immunofluorescence microscopy, cell culture, DNA/RNA extraction, and single-cell or spatial transcriptomics. Experience with murine models or human tissue processing is highly valued. Explore more fully funded PhD scholarships in the UK.

📝How do I apply for this PhD at the Cancer Research UK Cambridge Institute?

Apply via the University Applicant Portal for the PhD in Medical Science (CRUK CI). Select October 2027 as your start date and quote reference SW51021. The application deadline is 16 October 2026. You can also explore fully funded PhD programmes in the UK for comparison.

🔬What is the research focus of this fully funded cancer immunology PhD?

The project investigates how innate-adaptive immune interactions shape cancer evolution, focusing on group 2 innate lymphoid cells (ILC2) and their role in tumourigenesis. You will use high parameter flow cytometry, multiplex imaging, single-cell and spatial transcriptomics, and intravital imaging in mouse models of pancreatic, breast, ovarian and lung cancer. See related cancer immunology research.

💰Is the PhD studentship fully funded and what does the funding include?

Yes, this is a fully funded PhD studentship. Funded studentships typically cover tuition fees and a living stipend for the duration of the programme, subject to eligibility. International applicants should check UK visa requirements. Find more fully funded UK PhD scholarships.

🛠️What skills and training will I gain during this PhD?

You will receive training in cutting-edge immunological methods, single-cell and spatial transcriptomics, intravital imaging, and proximity labelling. You will also learn robust in silico analysis of large datasets, integrating wet lab and computational biology skills. Explore research assistant jobs to see related career pathways.

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