PhD in AI and Data Integration for Precision Oncology at Lund University
Job Description
A translational cancer research group in Lund University’s Department of Clinical Sciences is recruiting a PhD student in advanced data analysis for precision oncology in breast and prostate cancer. The student will lead projects building computational and AI tools for multimodal data: integrating cell-free DNA sequencing in metastatic prostate cancer, analysing single-cell spatial transcriptomics and protein data, and classifying lymphovascular invasion in breast cancer from whole-slide images and gene expression. The start date is 1 November 2026 or as agreed.
At a glance
- Position: Doctoral student (1 post), full time
- Where: Faculty of Medicine, Department of Clinical Sciences, Lund
- Start: 1 November 2026 or as agreed
- Apply by: 25 September 2026
- Apply: 25 September 2026
About the precision oncology PhD
- Advanced data analysis, including software infrastructure for data workflows
- Methods to integrate different types of sequencing-based DNA data
- Computational models for prognosis and treatment prediction
- Integration of spatial single-cell gene and protein expression data
- AI-based image analysis of histopathology slides, plus writing, presenting and applying for funding under supervision
PhD applicants: browse our Find a supervisor directory to see who works in your area.
What Lund University is looking for
- A background in bioinformatics, computational biology or equivalent (at least 240 ECTS credits, 60 at advanced level)
- Experience with AI models for image analysis
- Experience with sequencing-based DNA analysis
- Experience with spatial single-cell technologies
- Ability to work independently with clinicians and researchers, and good English
Nice to have
- Advanced courses in data science or computational biology for cancer research
- Bioinformatics research on prognostic or predictive biomarkers
- Breast or prostate cancer research experience
- Experience with liquid biopsies
Pay and location
Swedish doctoral students are salaried employees on the university’s doctoral salary scale; the advert does not give a figure. The post is full time in Lund.
How to apply
Apply through the official Lund University page. The closing date is 25 September 2026.
See all our PhD positions, or browse more research jobs on ResearchJobs.in.
Hiring institution: Lund University
Official advertisement: lu.varbi.com
How to prepare for this application
- Cover all three data types: the requirements name image AI, DNA sequencing and spatial single-cell data; show evidence for each.
- Share code: link a GitHub repository with a pipeline or model you built.
- Pathology AI: whole-slide image work (for example with multiple-instance learning) is directly relevant.
- Clinical collaboration: describe any project where you worked with clinicians.
- Deadline: applications close on 25 September 2026.
About Lund University
Lund University, founded in 1666, is one of Scandinavia's largest universities, with campuses in Lund, Helsingborg and Malmö.
