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Lund University

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PhD in advanced data analysis, image analysis, and precision oncology Lund University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Full-time doctoral student position (100%) with monthly salary. Temporary employment for four years according to Swedish doctoral employment regulations.

Deadline

Sep 25, 2026

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Country

Sweden

University

Lund University

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Keywords

Computer Science
Biomedical Engineering
Biology
Artificial Intelligence
Computational Biology
Single-cell Analysis
Medical Science
Cancer Biomarkers
Statistics
Bioinformatic
Spatial Transcriptomic

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About this position

PhD student position at Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, in advanced data analysis, data integration, image analysis, and precision oncology.

The project sits in a translational cancer research environment focused on improving prognostication and treatment selection for cancer patients through novel biomarkers and tumor biology studies. The doctoral student will work on multimodal data integration across liquid biopsies, sequencing data, spatial transcriptomics, protein data, and whole-slide histology imaging, with applications in breast cancer and prostate cancer.

Research tasks include developing computational and AI tools, software infrastructure for data workflows, analytical methods for sequencing-based DNA data, models for prognosis and treatment prediction, and image analysis methods for histopathological specimens. The group collaborates with computational scientists, molecular biologists, and clinical researchers, and provides access to genomics, transcriptomics, bioinformatics, and advanced imaging infrastructure.

Eligibility and requirements: background in Bioinformatics, Computational Biology, or equivalent; at least 240 ECTS credits with 60 ECTS at advanced level; experience with AI image analysis, sequencing-based DNA analysis, spatial single-cell technologies, and strong English communication skills. Independent work and close collaboration with clinicians/researchers are important. Merits include cancer bioinformatics, biomarker development, breast/prostate cancer research, and liquid biopsy experience.

Funding and employment: full-time doctoral employment (100%) with monthly salary; temporary position for four years. Start date is 1 November 2026 (or as agreed). The application deadline is 25 September 2026.

How to apply: submit the application via Lund University’s recruitment system. Include a CV, personal letter, degree certificate or equivalent, and any supporting documents such as transcripts, referee details, or recommendation letters.

Funding details

Full-time doctoral student position (100%) with monthly salary. Temporary employment for four years according to Swedish doctoral employment regulations.

What's required

Applicants should have a background in Bioinformatics, Computational Biology, or equivalent, with at least 240 ECTS credits including 60 ECTS at advanced level. Required experience includes AI models for image analysis, sequencing-based DNA analysis, spatial single-cell technologies, and the ability to work independently while collaborating closely with clinicians and other researchers. Strong English communication skills, both spoken and written, are required. Meritorious qualifications include advanced courses in data science or computational biology relevant to cancer research, prior bioinformatic cancer research, experience with prognostic or treatment-predictive biomarker development, breast or prostate cancer research, and liquid biopsy diagnostics.

How to apply

Apply through Lund University’s recruitment system. Include a CV, personal letter explaining your interest and fit, degree certificate or equivalent, and any supporting documents such as transcripts, referee details, or recommendation letters.

More information can be found here

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