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 fill a position of a


Research Associate
Wissenschaftliche/r Mitarbeiter/in
(salary level TV-L E 13, 75-100%)


for the externally funded project "BlockXT – Block methods to transparently accelerate and vectorise time dependent simulations". We are offering a fixed-term part-time position (75% to 100% FTE, depending on your qualifications) funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) for 3 years.


The project is engages with the intersections between numerical mathematics and high-performance computing and aims to develop modern hardwareaware simulation techniques for time dependent problems.


Your tasks:

  •  Development of modern parallel simulation methods
  • Implementation of these methods as part of an open-source simulation framework
  • Active participation in the activities of the research group
  • Proactive coordination with project partners
  • Preparation of project reports
  • Dissemination of project results in scientific publications and contributions to workshops and conferences


Our expectations:

  • A graduate degree (i.e. a German Diplom, master’s degree, PhD or equivalent) in mathematics, computer science, physics or a related field is required.
  • Profound knowledge of numerical linear algebra and simulation methods for partial differential equations is expected.
  • Solid programming experience in C++ and ideally also Python would be ideal.
  • Experience in the development of scientific software (e.g. deal.II, preCISE, DUNE, PETSc, FEniCS, ...) is beneficial.
  •  Proficiency in English is required.
  • Proficiency in German is desirable.
  • A high level of motivation as well as the ability to work both independently and in a team is expected.


Advantages for you:

  • Appreciation, commitment, openness and respect – values which are important to us.
  • Our broad range of diverse work-time models offers great flexibility – also when working from home.
  • If you have family members or young children in your care, our Family Service Office offers concrete support to help you balance your private and professional responsibilities.
  • As an educational institution, we are deeply committed to offering occupational training and continuing education opportunities tailored to your individual needs.
  • From A – Z, Aikido to Zumba, our sport and health programmes ensure a healthy work-life balance.
  • As a university employee, you are entitled to numerous benefits afforded to public servants, e.g. an attractive company pension scheme (VBL), an annual end-of-year bonus and a position that is shielded from economic fluctuations.


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 Prof Christian Engwer (

Are you interested? We look forward to receiving your application by 16 April 2023. Please send your application electronically as one PDF file (in English or German) to Please note that we cannot consider other file formats.

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