Researcher 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 44.000 students, 7.100 employees and a turnover of SEK 7 billion.
The research at the Division for Scientific Computing at the Department of Information Technology, has a broad scope, ranging from analysis and development of numerical methods, numerical linear algebra, high-performance, cloud and data-intensive computing to collaborative projects in computational science and engineering, and industrial applications. Examples of application areas are fluid mechanics, electromagnetism, acoustics, geophysics, systems biology, quantum mechanics, financial mathematics and genetics. The Division has an extensive international and national research network and takes part in the Uppsala-Lund-Umeå strategic e-science research effort eSSENCE, the parallel and multicore programming Center of Excellence UPMARC, and the Uppsala Center for Interdisciplinary Mathematics (CIM). See http://www.it.uu.se/research/scientific_computing for more information on the research activities at the division.
Duties: The position includes research and a limited amount (max 20%) of teaching. The research is to be undertaken in the Distributed Computing Applications (DCA) group (http://www.it.uu.se/research/group/dca) as part of the project Smart Services for Scientific Discovery which aims at developing methodology to support intelligent cloud services for e.g. parametric studies, optimization or uncertainty quantification using scientific applications. The overall objective is to greatly simplify the process of using simulation codes to explore underlying model behavior, paying special attention to interactivity and intelligent data management for the massive datasets arising from such computational experiments. The research consists in contributing to the project by identifying and formulating relevant problems, theoretical analysis, algorithm design, implementation of cloud computing services, as well as writing and publishing research articles and presenting results at international conferences.
Qualifications: The candidate must have a PhD degree in a for the project relevant area such as scientific computing, computer science, applied mathematics, computer vision, bioinformatics or image processing. Documented experience in one or more of the following areas is considered a merit: machine learning, distributed and cloud computing, computational statistics, optimization, uncertainty quantification and numerical solution of partial differential equations. It is also expected that the candidate has publications of very high quality as primary author. Excellent knowledge of written and spoken English is required for the position.
Assessment Criteria/Ranking; The ranking of eligible applicants will be based primarily on research expertise in the for the project relevant areas. The university will in this recruitment strive for identifying a successful candidate, via combining the assessments of competence, skills and qualifications, and achievements (appropriate for the career age) that is highly suitable to carry out the work.
How to apply: The application should include a personal statement where the applicant presents a biography, relevant qualifications and research interests. The applicant should state an earliest possible date for the employment to start. The application should contain a list of credentials (CV), copies of relevant certificates, a list of publications and other relevant documents (e.g. a list of reference persons), and up to two letters of support.
Personal circumstances (eg parental leave) that can be in the appraisal may be of benefit to the applicants should be mentioned in connection with the presentation of credentials and experience.
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.
Type of employment: Temporary position for max 2 years.
Working hours: 100 %
For further information about the position please contact
Associate Prof. Andreas Hellander, email@example.com, www.andreashellander.se (Hellander Lab on Computational Science) or visit http://www.it.uu.se/ (the department).
You are welcome to submit your application no later than September 1, 2016, UFV-PA 2016/2036
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 pay
Number of positions: 1
Working hours: 100%
County: Uppsala län
Marie Ols, TCO/ST
Per Sundman, Saco-rådet 018-471 1485
Stefan Djurström, Seko 018-471 3315
Number of reference: UFV-PA 2016/2036
Last application date: 2016-09-01
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