PhD and PostDoc Positions in Data Science for Energy Markets and Energy Systems University of Duisburg-Essen in Germany

University of Duisburg-Essen (Campus Essen) is advertising 3 PhD positions and 1 PostDoc position in the area of Data Science in Energy & Environment within the House of Energy, Climate & Finance (HECF).

The positions are centered on data science, statistics, econometrics, machine learning, and AI for energy markets and energy systems. Example research topics include probabilistic forecasting, uncertainty quantification, time series analysis, high-dimensional modeling, and data-driven models for electricity prices, renewables, flexibility, and system operations.

PhD applicants should have an above-average university degree in a quantitative field such as statistics/data science, mathematics, computer science, engineering, economics/business, or econometrics. The PostDoc role requires a PhD in a related quantitative discipline. Strong skills in probability, statistics, econometrics, or data science are expected, along with coding ability in Python, R, or C++. Experience with energy systems, markets, or environmental applications is desirable. Applicants should be fluent in English and willing to learn German.

The positions are 3 years long and paid under EG 13 TV-L. The PhD roles are advertised at 75% working time, while the PostDoc role is 100% (part-time possible). The post highlights close supervision, a publication-oriented environment, participation in seminars/workshops/conferences, collaboration in public-funded and industry projects, and flexible work options including home office.

Deadline: 2026-04-29. Start of employment is as soon as possible, with the LinkedIn post indicating a start window of Jun-Nov 2026.

Applications should be submitted with the usual documents, especially a motivation letter/statement, CV, and transcript of records, quoting the relevant reference number. The post provides separate application links for the PhD and PostDoc openings.