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PhD Position in Behavioral & Experimental Economics or Energy Systems Modelling at BTU Cottbus-Senftenberg Brandenburg University of Technology Cottbus-Senftenberg in Germany

I am recruiting a PhD student in Behavioral & Experimental Economics or Energy Systems Modelling at BTU Cottbus-Senftenberg.

Brandenburg University of Technology Cottbus-Senftenberg (BTU)

Germany

Jan 7, 2026

Keywords

Behavioral Economics
Environmental Science
Operations Research
Industrial Engineering
Decarbonization
Energy Transition
Experimental Economics
Economics
Statistics

Description

The Brandenburg University of Technology Cottbus-Senftenberg is offering a full-time PhD position (Academic Staff Member) in the fields of Behavioral & Experimental Economics or Energy Systems Modelling. The successful candidate will join the Department of Energy Economics, contributing to research on the energy transition, including experimental work on energy-related behavior and modelling optimal pathways for decarbonising energy systems. The position is based in Cottbus, Germany, and is part of the Energy Economics Lab (EECON).

Responsibilities include teaching duties for degrees in Industrial Engineering, Electrical Engineering, Mechanical Engineering, and Business Administration, as well as research activities such as planning, programming, and evaluating laboratory and field studies on the energy transition. The role also involves developing and updating teaching materials, supervising student research projects, and participating in externally funded projects.

Applicants must have a completed university degree (Master’s or equivalent) in a relevant field (economics, industrial engineering, natural sciences, electrical engineering, psychology, neuroscience, or comparable). For habilitation, a completed doctorate is required. Essential skills include solid knowledge of statistics and/or operations research, very good English and good German language skills, and advantageous qualities such as scientific independence, flexibility, teamwork, and diligence.

The position is funded for 4 years at TV-L E13 level, with benefits including 30 days of vacation, flexible and family-friendly working hours, remote work options, job ticket, and comprehensive professional development and health benefits. The application deadline is January 7, 2026. Interested candidates should submit their application documents as a single PDF file by email, quoting the reference number, to the Dean of the Faculty. For further information, contact Dr. Niklas Ziemann or Dr. Silvian Radke.

Research keywords include behavioral economics, experimental economics, energy systems modelling, energy transition, decarbonisation, energy data analytics, and industrial engineering. The opportunity is ideal for candidates interested in contributing to innovative research and teaching in energy economics and systems modelling at a leading technical university in Germany.

Funding

The position is full-time, limited to 4 years, and remunerated at TV-L E13 level. Additional benefits include 30 days of vacation, flexible and family-friendly working hours, option for remote work, job ticket, and comprehensive professional development and health benefits.

How to apply

Submit your application documents as a single PDF file, quoting the reference number, exclusively by email to the Dean of the Faculty at Brandenburg University of Technology Cottbus-Senftenberg by 07.01.2026. For further information, contact Dr. Niklas Ziemann or Dr. Silvian Radke via email.

Requirements

Applicants must hold a completed university degree (Master’s/university diploma/equivalent) in a relevant field such as economics, industrial engineering, natural sciences, electrical engineering, psychology, neuroscience, or comparable. For habilitation, a completed doctorate in a relevant field is required. Required knowledge includes solid understanding of statistics and/or operations research, very good English language skills (oral and written), and good German language skills (oral and written). Advantageous skills include scientific independence, flexibility, teamwork, communication skills, diligence, and responsibility.

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