Stellenangebot
Open Postdoc (PhD) Position - Mathematical Statistics at TUM (MaRDI)
The research group for Mathematical Statistics in the Department of
Mathematics at the Technical University of Munich (TUM) has an open
position for a
Postdoc, in exceptional cases, a Ph.D. student (100%, 2 years)
starting January 1, 2027 or soon after. The position is primarily funded through the Mathematical Research Data Initiative (MaRDI, https://www.mardi4nfdi.de), the mathematics consortium of the German National Research Data Infrastructure (NFDI).
The candidate will join the group of Prof. Mathias Drton (https://www.math.cit.tum.de/statistics/personen/mathias-drton/) and lead the further development of a data community for Graphical Modeling and Causal Inference (GMCI), which provides a curated collection of datasets, benchmarks, and notebooks and aims to support methodological research on problems such as graphical model selection and causal effect estimation (https://doi.org/10.5281/zenodo.16736174). A competitive salary and benefits are paid in accordance with the public service wage agreement of the Free State of Bavaria (TV-L E 13).
Candidate profile:
Applications should be sent to Mathias Drton mathias.drton@tum.de, with subject line “Postdoc/PhD Position MaRDI”. Applications will be considered as they are received, starting September 28.
The application should be sent as a _single_ PDF file (in English or German) and include
As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications. For applicable data protection rules, see http://go.tum.de/554159.
Postdoc, in exceptional cases, a Ph.D. student (100%, 2 years)
starting January 1, 2027 or soon after. The position is primarily funded through the Mathematical Research Data Initiative (MaRDI, https://www.mardi4nfdi.de), the mathematics consortium of the German National Research Data Infrastructure (NFDI).
The candidate will join the group of Prof. Mathias Drton (https://www.math.cit.tum.de/statistics/personen/mathias-drton/) and lead the further development of a data community for Graphical Modeling and Causal Inference (GMCI), which provides a curated collection of datasets, benchmarks, and notebooks and aims to support methodological research on problems such as graphical model selection and causal effect estimation (https://doi.org/10.5281/zenodo.16736174). A competitive salary and benefits are paid in accordance with the public service wage agreement of the Free State of Bavaria (TV-L E 13).
Candidate profile:
- PhD/Master’s degree in Statistics, Mathematics, Computer Science, or a related field,
- Strong mathematical preparation and interest in Statistics, expertise or strong interest in graphical modeling and causal inference,
- Good computational skills (e.g., in R and/or Python),
- Fluency in English (knowledge of German is a plus but not a requirement).
Applications should be sent to Mathias Drton mathias.drton@tum.de, with subject line “Postdoc/PhD Position MaRDI”. Applications will be considered as they are received, starting September 28.
The application should be sent as a _single_ PDF file (in English or German) and include
- brief statement of interests/motivation,
- CV (including the contact info of two academic references),
- university transcripts,
- as applicable, a list of publications or abstract of the Master thesis,
- as applicable, links to software or data contributions (e.g., GitHub, Zenodo).
As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications. For applicable data protection rules, see http://go.tum.de/554159.