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 task area “Statistics and Machine Learning” of MaRDI, the WIAS research group
“Stochastic Algorithms and Nonparametric Statistics”
(Head: Professor Vladimir Spokoiny) has an immediate vacancy for the position of a
Research Assistant (m/f/d)
for the development of a library and plattform for statistical algorithms and analyses
(Reference number 22/09)
to be filled.
The work tasks include:
· Integration of datasets for static algorithms into the MaRDI data platform
· Integration of CRAN into the MaRDI platform, the MaRDI knowledge graph, swMATH and zbMATH
· Creation of a library of statistical analysis workflows in R using CRAN and the MaRDI APIs to access the data platform
· Creation and curation of notebooks for statistical analysis workflows
· Development of guidelines for the certification of results of such analysis workflows
· Development of guidelines for the peer review process related to statistical software
Requirements for employment are a university degree, preferably in mathematics, natural sciences, engineering or computer sciences, as well as experience in the field of statistics.
A strong interest in Open Science, an affinity for research data and interdisciplinary work at the interface between mathematics and life science as well as between research and technical infrastructure are expected.
Experience with scripting languages and software repositories (especially R and CRAN) is desirable, as well as knowledge of tools for collaborative work (e.g. github, gitlab) and of representation methods and knowledge graphs and 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. Karsten Tabelow (Karsten.Tabelow@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 facilityusing 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/16963717