Postdoctoral position in Scientific Computing
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.
The Department of Information Technology has a leading position in research and all levels of higher education. Today the department has 280 employees, including 120 academic staff and 110 full-time PhD students. The Department comprises research and education in a spectrum of areas within Scientific Computing, Image Analysis, Computer Science, and Information Technology. More than 4000 students take one or several courses offered by the Department each year.
The position is hosted by the Division of Scientific Computing within the Department of Information Technology. As one of the world’s largest focused research environments in Scientific Computing the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software development and high-performance computing as well as in emerging areas such as cloud computing, data science, and artificial intelligence, where it plays key roles in several new strategic initiatives at the University.
Research project: You will be part of the Integrative Scalable Computing Laboratory research group, and join the HASTE project, an interdisciplinary project funded by the Swedish Foundation for Strategic Research (SSF). The project aims at developing smart systems for 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 goal is 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 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. We are now looking for a postdoc to work on research and development of intelligent stream data processing pipelines, 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. For more information, see the project homepage: http://haste.research.it.uu.se/ .
Duties: The position is focused on research in the described research project, and includes a limited amount of teaching and departmental duties, but not more than 20%.
Requirements: To qualify for an employment as a postdoctor you must have a PhD degree or a foreign degree equivalent to a PhD degree in Scientific Computing, Computational Mathematics, Computer Science, Bioinformatics or a related field. The PhD degree must have been obtained no more than three years prior to the application deadline. The three year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.
The successful candidate must have documented experience in applied distributed computing and cloud computing, large-scale data processing using clustered solutions such as Apache Spark or similar, and software engineering.. Fluency in spoken and written English is 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.
Additional qualifications: Documented experience of research on data stream processing, computerized image processing and machine learning. Personal qualities such as dedication, motivation, initiative and independence are valued.
How to apply: The application should include a cover letter (no longer than 2 pages) including a biography including a summary of the doctoral work, and potentially also previous postdoctoral work, in relation to state-of-the art. The application should also contain a list of credentials (CV), copies of relevant certificates and grades, a list of publications and contact information to at least three reference persons.
Salary: Individual salary.
Starting date: As soon as possible.
Type of employment: Temporary position for 2 years according to central collective agreement.
Scope of employment: 100 %
For further information about the position please contact: the project leader, Associate Professor Andreas Hellander, firstname.lastname@example.org, or Associate Professor Emanuel Rubensson, Head of the Division of Scientific Computing, email@example.com.
Please submit your application by 26 November 2020 UFV-PA 2020/4009
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.
Submit your application through Uppsala University's recruitment system.
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
Number of reference: UFV-PA 2020/4009
Last application date: 2020-12-03
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