Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 40,000 students, 7,000 employees and a turnover of SEK 6.5 billion.

This researcher position is part of interdisciplinary research collaboration between the Division of Visual Information and Interaction, Dept. of Information Technology and Science for Life Laboratory.

The Department of Information Technology conducts research and education in a spectrum of areas within Computer Science and Information Technology. The research is organized in five Divisions, and the Division of Visual Information and Interaction houses the Centre for Image Analysis, which has a long tradition of theoretical and applied research and graduate education in computerized image analysis and scientific visualization. The focus is on image processing as such, but also on developing better methods, algorithms and systems for applications within primarily life sciences, medicine, and digital humanities. For more information, see www.it.uu.se.

The Science for Life Laboratory, SciLifeLab, is a Swedish national center for molecular biosciences with focus on health and environmental research. The center combines frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a joint effort between Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University. SciLifeLab was established in 2010 and appointed a national center in 2013. Today, approximately 1,500 persons work at the center’s two sites in Stockholm and Uppsala (www.scilifelab.se).

Research project: Digital imaging of medical tissue samples and genetic analysis by next generation sequencing are two rapidly emerging fields in pathology. The goal of this project financed by the European Research Council (erc.europa.eu), is to develop computational methods that bridge these two emerging fields by combining spatially resolved high-throughput genomics analysis of tissue sections with digital image analysis of tissue morphology. The researcher will be involved in the development of advanced methods for digital image processing and data mining, but also collaborate closely with researchers form the biomedical field.

We are currently seeking to fill the role of an expert in computerized image processing and analysis responsible for continue the development of our tissue analysis and visualization tools. The candidate will be expected to collaborate closely with the project partners and be involved in supervision of PhD and MSc students. Tasks include development of approaches for analysis of large-scale microscopy image data, and methods will range from learning-based image segmentation and classification to statistical analysis and visualization.


Uppsala University


Candidates should have a doctoral degree (PhD or equivalent) in computerized image processing and analysis or a similar field, combined with documented experience from algorithm development and programming. Experience from working with microscopy data and life science applications is highly valued; especially experience from large-scaled tissue image analysis.

Language requirements:

Excellent skills in spoken and written English are required.

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying


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About Uppsala University

Uppsala University is one of northern Europe's most highly ranked universities. Eight scientists at the university have been awarded the Nobel Prize. Uppsala University pursues research in a wide range of fields that helps us understand our society. Research that creates a better world and makes life easier for many people – research that brings new perspectives to the basic questions of science and at the same time knowledge that contributes to a sustainable environment, human health, and social development.