At a Glance
- Tasks: Develop computational tools for early cancer detection and understand chromosomal instability.
- Company: Cancer Research UK Cambridge Institute, a leader in genomics and computational biology.
- Benefits: Fully funded studentship with a stipend starting at £22,500 per annum.
- Other info: Open to UK and overseas students; excellent career development opportunities.
- Why this job: Contribute to groundbreaking research that can change cancer treatment outcomes.
- Qualifications: Strong analytical skills; background in computational biology, mathematics, or computer science preferred.
The predicted salary is between 22500 - 22500 € per year.
CRUK CI PhD Studentship: Development and application of computational tools for the early detection and deconstruction of chromosomal instability in cancer.
Supervisor(s): Professor Florian Markowetz
Department/location: Cancer Research UK Cambridge Institute
Deadline for application: 17th October 2025
Course start date: 1st October 2026
Overview
Professor Florian Markowetz wishes to recruit a student to work on the project entitled: “Development and application of computational tools for the early detection and deconstruction of chromosomal instability in cancer”. This PhD study offers the opportunity to contribute to world‑leading research in genomics, computational biology and imaging at the Cancer Research UK Cambridge Institute.
Project details
The project focuses on detecting and understanding chromosomal instability (CIN) in cancers such as breast, ovarian and oesophageal, where CIN correlates with poor prognosis and treatment resistance. Building on the group’s prior work, the student will develop computational and machine‑learning models to:
- detect CIN from bulk and single‑cell DNA sequencing data;
- deconvolute underlying mutational processes;
- integrate imaging data using AI to enable early detection of CIN‑associated cancers.
The project allows cross‑cutting research between genomics and imaging, depending on the student’s research interests.
References / further reading
- A pan‑cancer compendium of chromosomal instability.
- scAbsolute: measuring single‑cell ploidy and replication status.
- Triage‑driven diagnosis for early detection of esophageal cancer using deep learning.
Preferred Skills / Knowledge
A highly motivated candidate with strong analytical skills and an interest in developing novel computational methods and ML/AI tools to address early detection and chromosomal instability. A background in computational biology, mathematics, or computer science is preferable, though applicants with sufficient computational knowledge from a biological degree are encouraged to apply.
Funding
This four‑year studentship is funded by Cancer Research UK Cambridge Institute and includes full funding for university fees and an index‑linked stipend starting at £22,500 per annum.
Eligibility
- Open to UK and overseas students.
- Recent graduates or final‑year undergraduates with a First or Upper Second Class degree (or equivalent) in a relevant subject.
- Applicants with research experience at Master’s level or lab experience are strongly encouraged.
How to Apply
Please apply via the University Applicant Portal: https://www.postgraduate.study.cam.ac.uk/courses/directory/cvcrpdmsc. Select commencement of study in October 2026 and quote reference SW47203.
Additional Information
Applicants will be required to provide academic transcripts, evidence of English language competence (if applicable), two academic referees, and a CV/resume. The deadline for applications is 17th October 2025, with interviews expected to take place in the week beginning 5th January 2026.
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.
CRUK CI PhD Studentship: Development and application of computational tools for the early detec[...] in Cambridge employer: Mctd
At Cancer Research UK Cambridge Institute, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our PhD studentship offers not only a competitive stipend and full funding for university fees but also the chance to engage in groundbreaking research at the forefront of cancer detection and treatment. With a strong emphasis on professional development and cross-disciplinary collaboration, we provide our students with unique opportunities to grow their skills and contribute to meaningful advancements in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land CRUK CI PhD Studentship: Development and application of computational tools for the early detec[...] in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current students or alumni from the programme. They can give you insider info on what the supervisors are looking for and how to stand out during interviews.
✨Tip Number 2
Prepare for your interview by diving deep into the project details. Familiarise yourself with the latest research on chromosomal instability and think about how your skills can contribute to the project. Show us you’re passionate!
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors. This will help you articulate your thoughts clearly and boost your confidence when it’s time to impress the panel.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take the initiative to follow the process.
We think you need these skills to ace CRUK CI PhD Studentship: Development and application of computational tools for the early detec[...] in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your skills and experiences that are relevant to the PhD project. We want to see how your background in computational biology, mathematics, or computer science aligns with the research on chromosomal instability.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about this project and how you can contribute. Be specific about your interest in developing computational tools and mention any relevant experience you have in genomics or AI.
Gather Strong References:Choose referees who know your academic work well and can speak to your analytical skills and research potential. A strong reference can really make your application stand out, so don’t hesitate to ask for their support!
Check Your Application Before Submitting:Before hitting that submit button, double-check everything! Ensure all documents are included, your transcripts are up-to-date, and that you've followed the application instructions carefully. We want to see your best work!
How to prepare for a job interview at Mctd
✨Know Your Stuff
Make sure you’re well-versed in the project details and the research focus on chromosomal instability. Brush up on relevant computational biology concepts, machine learning techniques, and any recent advancements in genomics that relate to the project.
✨Show Your Passion
Express your enthusiasm for the field and the specific research area. Talk about why you’re interested in developing computational tools for cancer detection and how your background aligns with the project’s goals.
✨Prepare Thoughtful Questions
Have a few insightful questions ready for Professor Florian Markowetz. This could be about the direction of the research, potential challenges in the project, or opportunities for collaboration within the Cancer Research UK Cambridge Institute.
✨Highlight Relevant Experience
Be ready to discuss any previous research experience or projects that showcase your analytical skills and computational knowledge. If you’ve worked with machine learning or data analysis, make sure to highlight those experiences during the interview.
