Research Assistant (m/f/d) for knowledge modelling in the field of applied mathematics and simulation (Reference number 22/07)
The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research institutes in Berlin which are funded by the federal and state governments. The research institutes are members of the Leibniz Association.
MaRDI (Mathematical Research Data Initiative https://www.mardi4nfdi.de) is the mathematical research data initiative within the framework of the National Research Data Infrastructure (NFDI – https://www.nfdi.de) and has been funded by the BMBF and the GWK for five years since October 2021.
In the work area “Cooperation with other disciplines” of MaRDI, the WIAS research group
“Partial Differential Equations”
(Head: Professor Alexander Mielke) has an immediate vacancy for the position of a
Research Assistant (m/f/d)
for knowledge modelling in the field of applied mathematics and simulation
(Reference number 22/07)
to be filled.
The work tasks include:
· Documentation and analysis of workflows in the area of modelling, simulation and optimization
· Standardization of mathematical descriptions in other disciplines, especially mathematical models, with a focus on physics
· Development of associated meta-data descriptions
· Development of a database of mathematical models and integration into the MaRDI knowledge graph
· Supporting the development of the “MaRDI Portal for Interdisciplinary Exchange” by data integration based on case studies
Requirements for employment are a university degree, preferably in mathematics, natural sciences, engineering or computer sciences, as well as experience in the field of mathematical modeling with (partial) differential equations and mathematical solution methods or numerical methods.
A strong interest in Open Science, an affinity for research data and interdisciplinary work at the interface between mathematics and physics and engineering as well as between science and technical infrastructure are expected.
Experience in knowledge representation methods and knowledge graphs is desirable, as well as knowledge of tools for collaborative work (e.g. github, gitlab), scripting languages, experience in working on projects in spatially distributed workgroups.
We are looking for an open, communicative and flexible personality and offer a versatile job in a modern equipped institute with the opportunity to help build an infrastructure for mathematical research data.
Please direct scientific queries to Dr. Thomas Koprucki (Thomas.Koprucki@wias-berlin.de).
The position is paid according to TVöD (Bund) and is limited until 30 September 2026. The working hours are 39 hours per week.
Applicants of any gender will be treated equally. Among equally qualified applicants, disabled candidates will be given preference.
Please upload complete application documents (curriculum vitae, photocopies of certificates including a cover letter) as soon as possible via our online job-application facility using the button “Apply online”.
The advertisement is open with immediate effect and will remain open until the position will be filled.
We are looking forward to your application!
See here for more information: https://short.sg/j/16954537