Researcher position in Scientific Computing - Hiring in process/Finished, not possible to apply

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: The project is aimed at developing, analyzing, and implementing Cut Finite Element Methods (CutFEM) based on the Discontinuous Galerkin framework (DG) for time dependent hyperbolic partial differential equations.

Duties: The position is focused on research, which will be done in collaboration with researchers at the division, but may include a limited amount of teaching and departmental duties, but not more than 20%. The work involves traveling to conferences to present results of papers, and involves collaboration with and shorter visits to project partners.

Requirements: The candidate should have a PhD degree in Scientific Computing, Numerical Analysis, Computational Mathematics, Computational Science or a related field. The successful candidate must have experience of analyzing and developing numerical methods for time dependent partial differential equations, and of programming for scientific computing. Personal qualities such as dedication, motivation, initiative and independence are valuable. Fluency in spoken and written English is required, as is demonstrated experience of working collaboratively as part of a research team.

Additional qualifications: Documented experience of CutFEM based on DG for hyperbolic conservation laws, and of using Fortran or C/C++ for scientific programming.

How to apply: The application should include a personal statement (no more than 2 pages) where the applicant presents a short biography including a motivation why he or she is interested in joining the division, relevant qualifications and research interests. The application should also contain a list of credentials (CV), copies of relevant certificates and grades, a list of publications and other relevant documents such as, for example, a list of reference persons.

Salary: Individual salary.

Starting date: As soon as possible or as otherwise agreed.

Type of employment: Temporary position ending in 12 months.

Scope of employment: 100%

For further information about the position please contact: Professor Gunilla Kreiss, project leader, gunilla.kreiss@it.uu.se, or Associate Professor Emanuel Rubensson, Head of the Division of Scientific Computing, emanuel.rubensson@it.uu.se.

Please submit your application by 19th February 2021, UFV-PA 2021/366.

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 ifss@uadm.uu.se.