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The Department of Physics and Astronomy at Uppsala University invites applications for one research position in nuclear data development. The candidate is expected to develop and implement advanced methods from the field of machine learning in large-scale nuclear data evaluation algorithms. The work will include the use of nuclear model codes, such as TALYS, and the handling of experimental databases. Supervision of undergraduate and PhD-student projects and teaching can be part of the working duties. The group collaborates with researchers in Europe and USA, and part of the placement may be done outside Uppsala.
Prerequisites: A Ph.D. degree in a relevant field. Well-documented research experience in nuclear data development. High confidence in programming and statistics. Proficiency in English.
Experience in methods from the field of machine learning, such as Gaussian Processes, in the realm of nuclear data development, is considered to be a strong advantage.
Employment Period: The period of employment is 1 year.
The application should be written in English and include:
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. Sweden has a generous welfare system that includes paid parental leave, affordable daycare, and practically free medical care.
For further information about the position, please contact
Henrik Sjöstrand, e-mail henrik.sjostrand@physics.uu.se, phone +46 (0)18 471 3329.
Please submit your application by 25-02-2018, UFV-PA 2018/227.
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | 2018-04-01 |
Salary | Fixed pay |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Uppsala |
County | Uppsala län |
Country | Sweden |
Reference number | UFV-PA 2018/227 |
Union representative |
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Published | 25.Jan.2018 |
Last application date | 25.Feb.2018 11:59 PM CET |