Research Assistant in Energy Market Simulation

  • Job Advertisement:

    Stelle offen

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  • Contact Person:

    Kim K. Miskiw


The transition towards high shares of renewable power generation is transforming electricity markets, resulting in the constant development of market mechanisms and increasing sector coupling. Introducing a new market or changing the current market design can, however, affect all other markets and their participants in not necessarily foreseeable ways. This raises the need for tools and simulation models to investigate and understand such complex interplay of markets and predict possible adverse effects and misuse of market power.

With the ASSUME project, a team of researchers aims to develop a highly modular and easy-to-use energy market simulation toolbox with integrated reinforcement learning methods. This toolbox will enable agile analysis of market designs and bidding strategies of new actors and emerging market dynamics in our fast-changing energy system.

Job Description

We are seeking a research assistant to support our team in developing and implementing the ASSUME toolbox. The position involves supporting the development of the energy market simulation toolbox, including programming and testing of new learning strategies as well as contributing to the documentation of the toolbox, including user manuals and technical reports and participating in project meetings.

We offer the opportunity to work on a cutting-edge research project with a team of experienced researchers and a flexible as well as friendly work environment that encourages creativity and personal growth.



-Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, or related fields

-Strong programming skills in Python 

-Knowledge of reinforcement learning algorithms and/or simulation modelling is an advantage

-Good understanding of energy markets and electricity systems

-Good written and spoken English/German skills



We look forward to receiving your application!