join us | CIMIM

We are always looking for talented and motivated individuals to join the Centre for Computational Imaging and Modelling in Medicine. We welcome applications at all levels — from MSc and PhD students to post-doctoral researchers and visiting scholars — to contribute to our mission of revolutionising medicine through computational science, computational phenomics, and in silico trials.

why join us

CIMIM offers a unique environment that combines:

World-class research at the interface of medical image analysis, machine learning, and computational physiology.
Access to large, real-world clinical datasets and partnerships with industry, the NHS, and regulatory bodies.
A culture grounded in our principles: Empowering Breakthroughs, Together · Focused Teams, Broad Impact · Excellence Through Credible Ideas.
Opportunities to translate research into patents, spin-offs, and licensed technology.

our mentorship philosophy

We believe great research grows from great mentorship. Across CIMIM we aim to:

Empower independence early. We help every team member shape research questions they own and care about, with frequent feedback rather than top-down direction.
Support the whole researcher. We mentor for science and for career trajectory — including writing, presenting, grant craft, software engineering practice, and translating work outside academia.
Practise idea meritocracy. We invite challenge from every level of seniority and weight ideas by their evidence and reasoning, not their origin.
Build for impact. Projects are scoped so that early outputs (papers, code, data, partnerships) compound into a coherent body of work members can carry forward.
Take well-being seriously. Sustainable pace, clear expectations, and protected time for thinking are part of how we work — not perks granted in calm weeks.

equality, diversity & inclusion

We are committed to a fair, inclusive, and respectful working environment. Excellent science depends on bringing together people with different backgrounds, lived experiences, and ways of thinking — and we actively seek candidates who broaden our community.

Open recruitment. We encourage applications from candidates of all genders, ethnicities, nationalities, religions, sexual orientations, ages, socio-economic backgrounds, disabilities, and caring responsibilities. Applicants from backgrounds historically under-represented in computational medicine, AI for health, and engineering are particularly welcomed.
Reasonable adjustments. If any part of the application process or working in our group requires adjustments to be accessible to you, please tell us — we will work with you and the University to put them in place.
Conduct. Members of CIMIM are expected to uphold the University of Manchester’s Equality, Diversity and Inclusion policies and our group’s own code of conduct. Discrimination, harassment, and bullying have no place in our team.
Confidential contact. Concerns can be raised in confidence with the Director or via the University’s Report and Support service.

postdoctoral researchers

We periodically have openings for post-doctoral research associates working on our active grants — including INSILEX, INSILICO, and InSilicoUK (see projects). Positions are advertised on the University of Manchester jobs portal and posted in our news section. Speculative applications from outstanding candidates are also welcome.

To apply, please send a CV, a brief statement of research interests, and the names of two referees to cimim@manchester.ac.uk.

phd students

We welcome enquiries from motivated and well-qualified applicants from all over the world who are interested in pursuing a PhD in:

Population of Virtual Patients & Participants — statistical modelling/inference for data-driven anatomy, physiology, and pathology models for in silico trials.
Device Modelling & Device–Tissue Interactions — computational models of medical implants and imaging systems, including mechanobiology of long-term device/organ interaction.
Efficient Virtual Experiments — numerical schemes for highly efficient massive-ensemble simulations of patient physiology and device interactions.
In Silico Clinical Trials — hypothesis-led in silico trials and modelling/simulation infrastructure to orchestrate them at scale.
Medical image analysis (segmentation, registration, reconstruction, population imaging).
Trustworthy machine learning for healthcare (uncertainty quantification, robustness, regulatory science).

Please send a CV, university transcripts, and up to 3 sample publications or a research statement to cimim@manchester.ac.uk. Funding opportunities are available through EPSRC, MRC, and collaborative industrial partnerships.

You can learn more about our group by browsing our publications and projects.

msc students

We supervise MSc dissertation projects within the Department of Computer Science and School of Health Sciences at the University of Manchester. If you are currently enrolled in a relevant MSc programme and interested in a project with us, please get in touch.

visiting researchers

We welcome visiting students, researchers, and academics for short- or long-term research stays — particularly those joining our international collaborative network of regulatory scientists from academia and industry. Please contact us to discuss opportunities and logistics.

what to send us

Whatever level you apply at, please include:

A CV or résumé.
A short (½–1 page) statement of research interests explaining how your work relates to CIMIM’s themes.
Up to three relevant outputs (papers, theses, code, or projects) — and a link to your homepage, GitHub, or Google Scholar profile if available.
The names of two referees (for postdoc and PhD applications).

Send everything to cimim@manchester.ac.uk with a clear subject line, e.g. “PhD application — Virtual Patient Populations”.