Summary
KTH Royal Institute of Technology is inviting applications for a Postdoctoral position in multi-omics machine learning and computational cancer biology. Based at SciLifeLab Stockholm, the researcher will develop and apply computational approaches for cancer precision medicine, focusing on molecular mechanisms underlying cancer aggressiveness, metastasis, and treatment resistance.
Postdoc in Multi-Omics Machine Learning and Computational Cancer Biology at KTH Royal Institute of Technology
| Field | Details |
|---|---|
| Institution | KTH Royal Institute of Technology |
| Department | School of Engineering Sciences in Chemistry, Biotechnology and Health |
| Position | Postdoctoral Fellow |
| Research Area | Machine Learning and Computational Cancer Biology |
| Location | Stockholm, Sweden |
| Duration | Up to 2 years |
| Application Deadline | November 15, 2026 |
Designation
Postdoctoral Fellow
Research Area
The research combines cancer biology, multi-omics, and computational methods. Key focus areas include machine/deep learning, image analysis, computational pathology, multi-omics integration, and the development of interpretable foundation models for biological and clinical data.
Location
Stockholm County, Sweden (SciLifeLab and KTH Royal Institute of Technology).
Eligibility/Qualification
Candidates must meet the following requirements:
- Academic Degree: A doctoral degree in computer science, machine learning, computational biology, bioinformatics, or a related field (must be fulfilled by the time of appointment).
- Technical Skills: Strong programming skills in Python and/or R; experience in developing and evaluating machine learning methods.
- Knowledge: Solid understanding of statistics, biostatistics, and multivariate data analysis.
- Experience: Working with large-scale high-dimensional biological datasets and Unix/Linux environments.
- Language: Excellent written and spoken English.
Preferred qualifications: A PhD obtained within the last three years, experience in explainable AI (XAI), and a track record of independent research projects or grant applications.
Scholarship Description
The position is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). The successful candidate will join the A Lundberg Lab to integrate multiple data modalities (biological, clinical, and medical imaging) to create biologically meaningful models. The role offers opportunities for interdisciplinary collaboration, mentorship, and participation in international research networks. KTH offers competitive benefits and a dynamic research environment dedicated to sustainability and equality.
How to Apply
Interested candidates must apply through the KTH recruitment system. The application should include:
- A complete CV detailing professional experience and knowledge.
- Copies of diplomas and grades from previous university studies (with English or Swedish translations if necessary).
- A brief description (max 2 pages) of your research interests, why you wish to join the A Lundberg lab, and how your background aligns with the lab’s goals.
Last Date for Apply
November 15, 2026 (Midnight CET/CEST).
Apply Link
