45,000 students and 8,000 employees in teaching, research and administration, all working together to shape perspectives for the future – that is the University of Münster. Embedded in the vibrant atmosphere of Münster with its high standard of living, the University’s diverse research profile and attractive study programmes draw students and researchers throughout Germany and from around the world.
The Institute for Analysis and Numerics in the Faculty of Mathematics and Computer Science at the University of Münster, Germany, is seeking to fil the position of a
Research Software Engineer
Wissenschaftliche/r Mitarbeiter/in
(salary level TV-L E 13, 100%)
for the externally funded project MaRDI at the earliest possible date. We are offering a fixed-term full-time position until 30 September 2026.
The “Mathematical Research Data Initiative (MaRDI)”, www.mardi4nfdi.de, is part of the German “National Research Data Infrastructure”, a major effort to create a sustainable infrastructure to improve the findability, accessibility, interoperability and reusability of research data.
Your tasks:
- The development and implementation of research data infrastructure for scientific computing
- The development of concepts to improve the interoperability of scientific computing software, such as PDE solvers, model reduction, optimization or uncertainty quantification codes
- The development of a common language-independent software infrastructure through which high-performance software interfaces can be easily defined and implemented
- Working with internal and external partners
- Presenting your work at international conferences and establishing new collaborations within the scientific computing community
Our expectations:
- An academic degree in mathematics, computer science, physics or a related field is required.
- Experience in scientific computing is expected.
- Expert knowledge of at least two of the programming languages C/C++, Fortran, Python, Julia, R, MATLAB is required.
- Familiarity with libraries such as deal.II, DUNE, FEniCS, NGSolve, preCICE or pyMOR is beneficial.
- A good understanding of cloud technologies (Docker, Kubernetes, etc.) is desirable.
- A high level of motivation as well as the ability to work both independently and in a team is expected.
The University of Münster strongly supports equal opportunity and diversity. We welcome all applicants regardless of sex, nationality, ethnic or social background, religion or worldview, disability, age, sexual orientation or gender identity. We are committed to creating family-friendly working conditions. Part-time options are generally available.
We actively encourage applications by women. Women with equivalent qualifications and academic achievements will be preferentially considered unless these are outweighed by reasons which necessitate the selection of another candidate.
If you have any questions, please contact Dr Stephan Rave (stephan.rave@uni.muenster.de).
Are you interested? We look forward to receiving your application by 31 March 2023. Please submit your application electronically in one PDF file (in English or German) to seknum@uni-muenster.de. Applications should include a short statement of the candidate’s research experience and interests, a CV including a list of publications, relevant academic transcripts and the names and contact information of two potential referees