Researcher position in Computerized Image Processing
Sort on published: 2017-12-20
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 42,000 students, 7,000 employees and a turnover of SEK 6.7 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.
Qualifications: 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. Excellent skills in spoken and written English are required.
Assessment criteria: The ranking of eligible applicants will be based primarily on research expertise relevant for the project; research experience in computerized image analysis, large-scale data processing and analysis, scientific data management and machine learning. High-quality publications as principal author in international peer-reviewed journals or conferences are expected. Documented programming skills are of particular importance, as well as successful teamwork and organizational skills. As the project is focused on microscopy data and life science applications, experience and/or strong interest from this field is considered meriting. The assessment of applications is based primarily on the applicant's ability to conduct independent research based on scientific skill. Greater importance is attached to the quality of individual scientific work than to the amount of publications.
Duties: The position is focused on research but may include a limited amount (max 5%) of teaching, and institutional (max 5%) duties.
Application: The application should include a statement (at most 2 pages) of the applicant’s motivation for applying for this position, including the applicant’s qualifications and research interests and a description of the applicant’s PhD thesis. The application must include a CV, degrees and grades (translated to English or Swedish), a web reference to the PhD thesis, a complete list of publications with up to five important publications for the position highlighted and including a specific description of the candidate’s own contributions, other relevant documents, and the earliest possible starting date. References with contact information and up to two letters of recommendation may be provided.
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.
The Department of Information Technology strives for a more equal gender balance and welcomes specifically female applicants.
Working in Sweden: The quality of life in Sweden is high, and Swedes in general speak good English. The Swedish working climate emphasizes an open atmosphere, with active discussions involving both junior and senior staff. Researchers are full employees, with standard salaries and at least five weeks of paid vacation. Spouses of employees are entitled to work permits. Healthcare is free after a small co-pay. The parental benefits in Sweden are among the best in the world, including extensive parental leave (for both parents), paid time off to care for sick children, and affordable day care.
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.
Salary: Individually negotiated salary.
Starting date: As soon as possible or as otherwise agreed.
Type of position: Temporary position ending in two years.
Working hours: 100 %.
For further information about the position please contact
Prof. Carolina Wählby, Ph. +4618 4713473, email@example.com
Please submit your application no later than 2018-01-15, UFV-PA 2017/4480.
We decline offers of recruitment and advertising help. We only accept the application the way described in the 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 2017/4480
Last application date: 2018-01-15