PhD position in Computerized Image Processing
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 44.000 students, 7.100 employees and a turnover of SEK 7 billion.
This PhD position is part of interdisciplinary research collaboration between the Division of Visual Information and Interaction at the Deptartment 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 organised 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 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 5-year 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.
Qualifications: The candidate must have (at the time of the start of the project) a Master of Science degree in mathematics, engineering, computer science, or related areas relevant to the PhD project topics. Excellent study results, in particular in mathematics subjects, good theoretical and practical programming skills are required. Experience in machine learning, deep learning, and digital image analysis are meriting. The PhD position is very interdisciplinary, and understanding of/interest in applications within life science and microscopy are meriting. Good communication skills in English, both spoken and written, are required. Prior knowledge of Swedish is not required.
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, relevant publications, a copy of your MSc thesis (or a summary in case the thesis 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. Please note that applications can only be accepted via the web interface link below (and not via email).
Rules governing PhD candidates are set out in the Higher Education Ordinance Chapter 5, §§ 1-7 and in Uppsala university's rules and guidelines http://regler.uu.se/search/?hits=30&languageId=1&search-language_en=English.
Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.
Salary: According to local agreement for PhD students.
Starting date: As soon as possible. Temporary position. The position is for four years, but may be extended by teaching and department duties (at most 20 %).
Type of position: Full time position.
For further information about the position please contact: Prof. Carolina Wählby, email@example.com, +46-18-4713473.
Please submit your application by 19 October 2018, UFV-PA 2018/3471.
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 firstname.lastname@example.org.
Please do not send offers of recruitment or advertising services. Applications must be submitted as described in this advertisement.
Placement: Department of Information Technology
Type of employment: Full time , Temporary position longer than 6 months
Pay: Fixed salary.
Number of positions: 1
Working hours: 100 %
County: Uppsala län
Ellena Papaioannou, Seko
Suzanne Borén Andersson, TCO/ST 018-471 6251
Per Sundman, Saco-rådet 018-471 1485
Number of reference: UFV-PA 2018/3471
Last application date: 2018-10-19
As an employee at Uppsala University, you receive a number of great benefits. Here we have listed the most important ones.
HR Excellence in Research
The HR Excellence in Research logo is a seal of quality that lets you know Uppsala University is committed to implementing the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers.