Application period is currently closed
Starting on October 1st, 2024, TRR 391 receives funding for 30 doctoral researcher and 3 postdoc positions. The positions will be funded by the German Research Foundation (DFG) until June 2028.
Our TRR 391 is highly interdisciplinary, integrating data-driven and knowledge-driven modeling approaches from statistics, data science, mathematics, computer science, electrical engineering, economics, and transportation/logistics, to create comprehensive solutions for tackling urgent problems arising in the transition to a low-carbon economy and renewable economies. TRR 391 models, estimates and predicts spatio-temporal processes occurring in economic and technical applications. In doing so, we exploit the formal similarity of relevant statistical problems for methodological synergies and develop key techniques for the analysis of spatio-temporal data, which will enable efficient data-based decision-making in various areas of the energy and transport transition in the next decades. All doctoral researchers will become members of our integrated research training group STAIRS for fostering interdisciplinary exchange and establishing a shared language between disciplines.
You can look forward to:
- An excellent research environment and a vibrant interdisciplinary community
- Research that pushes the boundaries of what can be achieved in spatio-temporal data settings with statistical modeling techniques and artificial intelligence
- Structured supervision and courses that will prepare you for excelling within the respective disciplines, but also for crossing borders between them, including transferable skills and career development
- A welcoming and international research campus with a long tradition of interdisciplinary work in the data sciences
The successful candidates will work at the institutions (all Germany) running the different projects of our TRR 391:
- TU Dortmund University
- Ruhr University Bochum
- Fachhochschule Dortmund - University of Applied Sciences and Arts
- Hamburg University of Technology
- Karlsruhe Institute of Technology
- University of Duisburg-Essen
- University of Hamburg
- University of Münster
- RWI Leibniz Institute for Economic Research Essen
The prerequisite for a PhD appointment is a diploma or master’s degree in statistics or data science, or alternatively mathematics, computer science, electrical engineering, economics, logistics, geoinformatics or related programs (with a focus on statistics or data science).
The prerequisite for a PostDoc appointment is a PhD in statistics or data science, or alternatively in mathematics, computer science, electrical engineering, economics, logistics, geoinformatics or related programs (with a focus on statistics or data science).
Seriously disabled persons will be favored in case of equal qualification. Women are explicitly encouraged and will be favored in case of equal ability and professional performance.
As soon as the application period starts, we will indicate on this page which projects still have open positions. Then, please send complete applications with the usual documents
- curriculum vitae
- diplomas
- list of publications if applicable
- motivation letter that also prioritizes typically up to three of the projects
to the respective project leaders. In the meantime, please do not send us any applications. They will remain unprocessed and unanswered.