Uppsala University, The Department of Information Technology

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 46.000 students, 7.300 employees and a turnover of SEK 7.3 billion.

This PhD position is part of an interdisciplinary research collaboration between the Division of Visual Information and Interaction at the Department of Information Technology and Science for Life Laboratory. The Department of Information Technology has approximately 280 employees and conducts research and education in a spectrum of areas within Computer Science and Information Technology. The research is organized in five Divisions, and the research at the Division of Visual Information and Interaction is a unique combination of expertise in computerized image analysis and human-computer interaction. More information about the department and its activities can be found at http://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, but also involves other universities. SciLifeLab was established in 2010 and today approximately 1,500 persons work within the center (http://www.scilifelab.se/).

Duties/Project description: 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 PhD candidate will be involved in the development of advanced methods for handling data from large-scale microscopy experiments; digital image processing, including learning-based approaches such as deep learning, statistical data analysis and visualization. The candidate will be expected to collaborate with project partners, other PhD students and MSc students. More information about the project and ongoing research can be found here: https://tissuumaps.research.it.uu.se/

Requirements: The candidate must have (at the time of the start of the project) a Master of Science degree in mathematics, engineering, computer science, bioinformatics, or related areas relevant to the PhD project topic. Excellent study results, in particular in mathematics subjects and machine learning, good theoretical and practical programming skills are required. Good communication skills in English, both spoken and written, are required. Prior knowledge of Swedish is not required.

Additional qualifications: Experience in machine learning, deep learning, and digital image analysis are meriting. The PhD postion is very interdisciplinary, and understanding of / interest in applications within life science and microscopy are meriting.

Application: The application should include a description of yourself, your research interests, reasons for applying for this particular PhD position and past experience (max. 3 pages), a CV, copies of relevant university degrees and transcripts, links to relevant publications and your MSc thesis (or a summary in case the thesis work is ongoing) and other relevant documents. Candidates are encouraged to provide contact information to up to 3 reference persons. We would also like to know your earliest possible date for starting. 

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines http://regler.uu.se/?languageId=1.

Salary: According to local agreement for PhD students.

Starting date: As soon as possible or as otherwise agreed.

Type of employment: Temporary position according to the Higher Education Ordinance chapter 5 § 7.The position is for four years, but may be extended by teaching and department duties (at most 20%).

Scope of employment: 100 %

For further information about the position please contact: Prof. Carolina Wählby,  carolina.wahlby@it.uu.se, +46-18-4713473

Please submit your application by March 30, 2020, UFV-PA 2020/810.

Are you considering moving to Sweden to work at Uppsala University? If so, you will find a lot of information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact International Faculty and Staff Services at ifss@uadm.uu.se.

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment As soon as possible
Salary Fixed salary
Number of positions 2
Working hours 100 %
City Uppsala
County Uppsala län
Country Sweden
Reference number UFV-PA 2020/810
Union representative
  • Seko Universitetsklubben, seko@uadm.uu.se
  • ST/TCO, tco@fackorg.uu.se
  • Saco-rådet, saco@uadm.uu.se
Published 06.Mar.2020
Last application date 30.Mar.2020 11:59 PM CET

Return to job vacancies