30 Doctoral Researcher and 3 Postdoc Positions in

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 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.

List of subprojects:
Area A Statistical methodologies for spatio-temporal data

A01 Optimal designs for spatio-temporal data Holger Dette (RUB Bochum), Kirsten Schorning (TU Dortmund)

A02 Space-time in high dimensions Axel Bücher (RUB Bochum), Andreas Groll (TU Dortmund), Johannes Lederer (UHH Hamburg)

A03 Resampling and model validation for spatio-temporal data Holger Dette (RUB Bochum), Carsten Jentsch (TU Dortmund)

A04 Statistical monitoring of spatio-temporal processes Roland Fried (TU Dortmund), Vasyl Golosnoy (RUB Bochum)

A05 Deep learning in space and time Asja Fischer (RUB Bochum), Johannes Lederer (UHH Hamburg), Hanna Meyer (University Münster)

A06 Forecasting methods for spatio-temporal data: robust evaluation and inference Matei Demetrescu (TU Dortmund), Christoph Hanck (UDE Duisburg-Essen)

A07 Distributional copula regression for space-time data Holger Dette (RUB Bochum), Nadja Klein (KIT Karlsruhe)

Area B Statistics for the transport of energy and goods

B01 Statistical modeling and analysis for state estimation in electrical power distribution grids Christine Müller (TU Dortmund), Christian Rehtanz (TU Dortmund)

B02 Statistical methods for energy systems: aggregation and decomposition Timm Faulwasser (TUHH Hamburg), Roland Fried (TU Dortmund)

B03 Uncertainty quantification for decision support in transport logistics systems Uwe Clausen (TU Dortmund), Sonja Kuhnt (FH Dortmund)

B04 Real-time spatio-temporal data analysis for monitoring logistics networks Paul Bürkner (TU Dortmund), Anne Meyer (KIT Karlsruhe), Edzer Pebesma (University Münster)

Area C Econometrics of the energy and transport transition

C01 Energy price shocks: identification, transmission, and induced technological change Christoph Hanck (UDE Duisburg-Essen), Carsten Jentsch (TU Dortmund), Ludger Linnemann (TU Dortmund)

C02 Renewable energy forecasts and their impact on electricity prices Antonia Arsova (TU Dortmund), Florian Ziel (UDE Duisburg-Essen)

C03 Monitoring of Germany’s mobility transition: data and methods Matei Demetrescu (TU Dortmund), Manuel Frondel (RWI Essen), Colin Vance (RWI Essen)

C04 Targeting energy conservation Mark Andor (RWI Essen), Asja Fischer (RUB Bochum), Andreas Löschel (RUB Bochum)

Supporting projects

INF Information infrastructure project Paul Bürkner (TU Dortmund), Andreas Groll (TU Dortmund), Sandra Schaffner (RWI Essen)

MGK STAIRS - Spatio-temporal analysis interdisciplinary research school Carsten Jentsch (TU Dortmund), Kirsten Schorning (TU Dortmund)

Z Central administrative project Roland Fried (TU Dortmund)