Lund University is offering a fully funded, four-year PhD position in Advanced Data Analysis for Data Integration, Image Analysis, and Precision Oncology. Hosted at the Department of Clinical Sciences in Lund, this doctoral position provides an exceptional opportunity to develop innovative computational and AI-driven methodologies to advance precision medicine in breast and prostate cancer.
Scholarship Overview
| Opportunity | PhD Position / Doctoral Studentship |
|---|---|
| Host Institution | Lund University (Faculty of Medicine) |
| Department | Department of Clinical Sciences, Lund |
| Research Area | Bioinformatics, Computational Biology, AI, Precision Oncology |
| Location | Lund, Skåne County, Sweden |
| Employment Type | Full-time (100%), 4-year fixed-term doctoral studentship |
| Salary / Funding | Standard Swedish doctoral monthly salary with full social security benefits |
| Application Deadline | September 25, 2026 |
Designation
PhD Student / Doctoral Candidate (Third-Cycle Studies)
Research Area
The research is centered on Bioinformatics, Computational Biology, Spatial Omics, and AI-Powered Precision Oncology. The primary focus includes multimodal data integration, liquid biopsy profiling (cfDNA, circulating tumor cells), single-cell spatial transcriptomics, and deep learning-based histopathology image analysis for biomarker discovery in breast and prostate cancers.
Location
Lund, Skåne County, Sweden (Department of Clinical Sciences, Faculty of Medicine, Lund University).
Scholarship & Project Description
The overarching goal of the research group is to improve prognostication and therapy selection for cancer patients by identifying novel biomarkers, exploring tumor biology, and discovering new therapeutic targets. The research bridges advanced wet-lab profiling methods (liquid biopsies, single-cell sequencing, spatial transcriptomics) with sophisticated bioinformatic algorithms and AI architectures.
As a doctoral student in this translational team, your duties will include:
- Leading computational projects focused on multimodal data integration in precision oncology.
- Developing software infrastructure and analytical workflows for sequencing-based DNA data (including cell-free DNA from metastatic prostate cancer).
- Designing analytical methods to evaluate single-cell spatial transcriptomics and protein expression profiles.
- Building AI-based computer vision models for histopathological specimens (such as classifying lymphovascular invasion in primary breast cancer).
- Writing scientific manuscripts, presenting research at international conferences, and participating in grant applications.
As an employee of Lund University, you will enjoy attractive employment conditions, including comprehensive health insurance, parental benefits, generous annual leave, and an occupational pension scheme.
Eligibility & Qualification Requirements
Basic Eligibility
- A completed second-cycle degree (Master’s level), or completion of at least 240 ECTS credits (with at least 60 credits at the advanced/second-cycle level), or equivalent qualifications obtained in Sweden or abroad.
Required Qualifications
- Academic degree in Bioinformatics, Computational Biology, Data Science, or a closely related field.
- Hands-on experience in working with AI and machine learning models for image analysis.
- Experience in sequencing-based DNA data analysis.
- Practical exposure to spatial single-cell technologies.
- Demonstrated capability to conduct independent computational work while collaborating effectively with clinical and experimental researchers.
- Excellent command of spoken and written English.
Meritorious Qualifications
- Advanced coursework or background in data science/computational biology applied to cancer research.
- Prior experience developing prognostic or treatment-predictive biomarker discovery tools.
- Previous research experience in prostate or breast cancer.
- Familiarity with liquid biopsy analytical pipelines.
How to Apply
Interested candidates must apply online through the Lund University e-recruitment portal. Prepare the following documents before submitting your application:
- Curriculum Vitae (CV): Detailing your academic background, research experience, and relevant technical skills.
- Cover / Motivation Letter: Justifying your interest in the position and detailing how your qualifications match the project scope.
- Academic Certificates: Copies of degree certificates and official academic transcripts.
- References: Contact details of at least two academic referees or letters of recommendation.
- Any additional relevant documentation (e.g., Master’s thesis, publications, or code repositories).
Application Deadline
September 25, 2026
Apply Link
Submit your official application through the university recruitment portal here:
Apply Online for the PhD Position at Lund University
