Florian Ziel

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.