Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would you like to work together with competent and inspiring colleagues in an international environment? Are you seeking an employer that offers safe and favourable working conditions? We welcome you to apply for a postdoctoral research position in Computerized Image Processing for data-driven precision medicine at the Department of Information Technology, Uppsala University.
The project will be led by Professor Nataša Sladoje, within the MIDA – Methods for Image Data Analysis – research group at the Department of Information Technology, and will be conducted alongside other researchers at the Centre for Image Analysis who develop computational methods with a particular focus on deep learning and image analysis. The project relies on close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP) at Uppsala University and SciLifeLab, the national infrastructure for life science.
This project is a key part of our broader initiative to develop and utilize innovative, interpretable data-driven analysis methods to significantly advance our understanding of immune cell inter-relations within the cancer microenvironment. We will apply these analysis methods to highly informative multimodal microscopy data and develop techniques to integrate correlated structural and molecular analysis into the natural 3D tissue space. This integration will advance the ability to predict disease progression and response to specific therapies.
The details of the research direction within the project frame will be decided in a dialogue between the postdoctoral fellow and the supervisor.
The successful candidate will devote the majority of their time to research. The duties include method development, implementation, data management, evaluation and analysis, manuscript preparation, as well as own career development. Assisting PhD students in the research group on related research tasks will be a part of the duties. Teaching in related subjects (max 20%), including master student supervision, can also be included depending on availability and interest.
The candidate is expected to take an active role in the MIDA research environment and contribute to the development of the research milieu.
PhD degree in a field closely related to the position (e.g., computerized image analysis/processing, machine learning, artificial intelligence, data science, computer science) or a foreign degree equivalent to a PhD degree in a field closely related to the position. The degree needs to be obtained by the time of the decision of employment. Priority will be given to applicants who have completed their degree no more than three years before the deadline for applications. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.
The candidate must have documented experience in image analysis, machine and deep learning, including completed courses in these fields, at the master and doctoral level of education, as well as first-hand experience in method development, implementation, evaluation, and publication (first author) of scientific articles in internationally recognized journals and presentations at international conferences.
We are looking for candidates with:
Meriting are:
When selecting among the applicants we will assess their ability to independently drive their work forward, to collaborate with others, to have a diligent and professional approach and to analyse and address complex problems. An emphasis will be placed on personal characteristics and personal suitability.
The application should consist of:
The employment is a temporary position of 2 years according to central collective agreement. Full time position. Starting date 1 September 2026 or as agreed. Placement: Uppsala.
For further information about the position, please contact: Prof. Nataša Sladoje (email: natasa.sladoje@it.uu.se)
Please submit your application by 1 June 2026, UFV-PA 2026/1395.
Tagged as: Life Sciences
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