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Up to three researcher positions in Computerized Image Processing, Scientific Computing, and Bioinformatics, Sweden

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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 research at the Division of Scientific Computing has a broad scope, ranging from numerical analysis over software development and high-performance computing to collaborative projects in Computational Science and Engineering and industrial applications. The Division of Visual Information and Interaction houses a unique combination of expertise in computerized image analysis and human-computer interaction. Mathematics, psychology, and robotics is united in research into theory as well as for a vast array of applications. More information about the department and its activities can be found at www.it.uu.se.

The Department of Pharmaceutical Biosciences has about 130 employees and a number of guest researchers and scholarship students. The Department has ten research groups with a common administration and we are engaged in research and teaching in biochemistry, pharmacology, pharmaceutical and drug addiction, pharmacotherapy, pharmacokinetics, pharmacometrics and toxicology. More information about the department and its activities can be found at www.farmbio.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).

The researchers will work in the interdisciplinary research project Hierarchical Analysis of Temporal and Spatial Data (HASTE) http://haste.research.it.uu.se within the research groups of Prof. Carolina Wählby, see http://www.cb.uu.se/~carolina/, Assoc. Prof. Andreas Hellander, see http://hellanderlab.research.it.uu.se and Assoc. Prof. Ola Spjuth, see http://www.farmbio.uu.se/forskning/researchgroups/pb.

Research project: You will join a recently started project that will run for 5 years and which is funded by the Swedish Foundation for Strategic Research (SSF). This interdisciplinary project aims at developing new, intelligent ways of processing and managing very large amounts of microscopy images in order to be able to leverage the imminent explosion of image data from modern experimental setups in the biosciences. One central idea is to represent datasets as intelligently formed and maintained information hierarchies, and to prioritize data acquisition and analysis to certain regions/sections of data based on automatically obtained metrics for usefulness and interestingness. To arrive at such smart systems for scientific discovery in image data, we will pursue a range of topics such as efficient data mining in image data, machine learning models with quantifiable confidence that learn an object’s interestingness, and development of intelligent and efficient cloud systems capable of mapping data and compute to a variety of cloud computing and data storage e-infrastructure based on the quality and interestingness of the data. Project partners are at the Department of Information Technology, Uppsala University, Department of Pharmaceutical Biosciences, Uppsala University, Vironova AB and AstraZeneca AB. 

We are currently seeking to fill three roles in the project. More information about the specific projects can be found on the project webpage:

 

  1. Detection of informative data from large-scale spatial and temporal experiments (with placement in the Wählby lab)
  2. Smart systems for creation and maintenance of information hierarchies in multi-cloud environments (with placement in the Hellander Lab)
  3. Machine-learning with quantifiable confidence or probability (with placement in the Spjuth lab)

The successful candidates will be expected to collaborate closely with each other and the project partners towards the goals of the project. All candidates are expected to participate in regular research visits to the sites of the industrial partners.

Qualifications: Candidates should have a doctoral degree (PhD or equivalent) in scientific computing, computerized image processing and analysis, bioinformatics, computer science, or another field of relevance for the research topic of one of the projects listed above, at the time of taking on the position. Excellent skills in spoken and written English are required. Further, the applicant should be able to work well in an interdisciplinary team as well as independently, and possess organizational skills and the ability to multitask in a high-pace environment.

Assessment criteria: The ranking of eligible applicants will be based primarily on research expertise relevant for the candidate’s career age. Here, documented research experience in one or more of the areas relevant for the particular roles listed above, such as computerized image analysis, large-scale data processing and analysis, scientific data management, distributed systems, bioinformatics, machine learning and applied cloud computing are particularly meriting. 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.

Application: The application should include a statement (at most 2 pages) of the applicant’s motivation for applying for this position, including the candidate’s qualifications and research interests, a description of the PhD thesis, and evidence of self-motivation and constructive teamwork. The application must include a CV, degrees and grades (translated to English or Swedish), a copy of or 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. In your application you should specify which role(s) you are applying for.

Uppsala University aims for gender balance and diversity in all activities in order to achieve a higher quality at all levels of the organization. We therefore welcome applicants of any gender and with different birth background, functionality and life experience.

Pay: Individual salaries

Starting: As soon as possible or as otherwise agreed.

Type of employment: Temporary position for 2 years.

Working hours: 100 %. The position is for two years and may include up to 20 % teaching (in English or Swedish) depending on availability and the candidate's career interest.

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 daycare.

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

Further Information

Application Deadline : 23 May 2017

Up to three researcher positions in Computerized Image Processing, Scientific Computing, and Bioinformatics : PDF

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Posted on 2017-05-01 04:18:51


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