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Uppsala University

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PhD in Computerized Image Processing for Data-Driven Precision Medicine Uppsala University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 20, 2026

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Country

Sweden

University

Uppsala University

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Keywords

Computer Science
Biomedical Engineering
Deep Learning
Biology
Mathematics
Image Processing
Precision Medicine
Computer Vision
Medical Science
Explainable Ai
Clinical Decision Support
Statistics
Machine learning

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About this position

PhD position in Computerized Image Processing for Data-Driven Precision Medicine at Uppsala University, Sweden, within the Department of Information Technology and the MIDA (Methods for Image Data Analysis) research group.

The project is led by Professor Nataša Sladoje and is carried out in collaboration with the Centre for Image Analysis, the Department of Immunology, Genetics and Pathology (IGP), and SciLifeLab. The research focuses on developing new image analysis, machine learning, and deep learning methods for precision medicine, especially for interpreting multimodal microscopy data in cancer and immunotherapy research. The work aims to improve understanding of immune cell interactions in the cancer microenvironment and support disease progression and therapy-response prediction.

This is a 100% full-time temporary PhD employment. The position includes doctoral education and may include up to 20% departmental duties such as teaching and administration. The starting date is 1 October 2026 or as agreed. The workplace is Uppsala, Sweden.

Eligibility and requirements: applicants should have a Master’s degree or equivalent background in computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or a related field. A minimum of 90 ECTS in relevant areas such as image processing, computer vision, machine learning, deep learning, neural networks, Python, GPU programming, mathematical modeling, or statistics is required. Strong Python programming skills, experience with PyTorch or TensorFlow, excellent English, and good collaborative and independent working skills are expected. Experience with biomedical image analysis, Git, LaTeX, Linux, convolutional/transformer networks, graph neural networks, and explainable AI is considered a merit.

Application deadline: 20 August 2026.

How to apply: submit a CV, degree certificate and transcript, thesis or other scientific writing/publications, contact details for at least two references, and a one-page personal letter describing your motivation, up to three scientific achievements, and earliest possible start date. Apply via Uppsala University’s recruitment system.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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