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Arian Lundberg

Top university

7 months ago

Postdoc in AI, Digital Health, and Cancer Research at KTH Royal Institute of Technology and SciLifeLab KTH Royal Institute of Technology in Sweden

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is funded by Digital Futures. No further details on stipend amount or tuition coverage are provided.

Deadline

Expired

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Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Computer Science
Machine Learning
Biomarker Research
Artificial Intelligence
Precision Medicine
Cancer Research
Digital Health
Medical Science
Clinical Translation
Bioinformatic

About this position

A joint postdoctoral position is available at KTH Royal Institute of Technology and SciLifeLab in Stockholm, Sweden, in collaboration with Golnaz Taheri’s lab. This opportunity is funded by Digital Futures and focuses on the intersection of artificial intelligence, digital health, and cancer research. The research groups involved bring together expertise in AI and machine learning development, medical bioinformatics, biomarker discovery, cancer precision medicine, and clinical translation. The shared goal is to develop innovative tools that can make a real difference for patients, particularly in the field of precision medicine and diagnostics.

The position is ideal for candidates with a strong background in computer science, bioinformatics, medical science, or related disciplines, and who are interested in applying AI and machine learning to solve challenges in cancer research and digital health. The collaborative environment at KTH and SciLifeLab offers access to cutting-edge resources and a vibrant research community. The position is fully funded by Digital Futures, though specific details about the stipend or salary are not provided in the announcement.

Applicants should have a PhD in a relevant field and demonstrate experience in AI, machine learning, digital health, cancer research, or precision medicine. Strong research skills and the ability to work collaboratively across disciplines are highly valued. The application deadline is February 9th, 2026. Interested candidates are encouraged to review the official LinkedIn announcement for further details and to prepare their application materials accordingly.

Funding details

The position is funded by Digital Futures. No further details on stipend amount or tuition coverage are provided.

What's required

Applicants should have a PhD in a relevant field such as computer science, bioinformatics, medical science, or a related discipline. Experience in AI, machine learning, digital health, cancer research, or precision medicine is highly desirable. Strong research background and collaborative skills are preferred.

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