Post-Doc in Electricity Markets and Engineering Education Innovation

Post-Doc in Electricity Markets and Engineering Education Innovation

Published Deadline Location
18 Oct 27 Feb Eindhoven

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Are you inspired by developing and testing new teaching tools in an educational setting? Are you eager to work on the development of a serious game for teaching electricity markets?

Job description

You will be actively involved in the design and implementation of the engineering education research project 'Electricity Markets Game: a competitive serious game for teaching electricity markets (EMGa2)' which is funded by TU/e Education Innovation Funds 2020 (BOOST!-program). EMGa2 is a follow-up to the project 'Development of a competitive serious game for teaching electricity markets (EMGa1)'. The main objective of EMGa1 was to develop a web-based multiplayer serious game in order to enhance the teaching of electricity markets topics in various courses offered by the Electrical Energy Systems group. In the current setting, students adopt the role of an energy firm and are expected to manage a portfolio of conventional and renewable generation, as well as storage resources in order to maximize their profits by participating in electricity market structures (i.e., by developing forecasting and optimization models). The EMGa1 market platform simulates the market conditions and determines the outcome of trading. Student engagement is achieved using gamification elements. Through EMGa2 you will be responsible for enhancing the overall design and performance of the existing game platform, adding new functionality and further improving its embedding within the offered courses. You will also participate in testing the serious game it in a real educational setting.

In parallel with working in this project, you are expected to conduct academic research in the field of electricity markets. Research topics of interest include, but are not limited to:
  • Development of market participation strategies and risk management
  • Market clearing mechanisms under uncertainty
  • P2P and local electricity markets
  • Applications of machine learning to electricity markets (e.g., forecasting)
  • Optimization techniques (distributed optimization, decomposition techniques, multi-objective optimization, reinforcement learning, etc.).

Specifications

Eindhoven University of Technology (TU/e)

Requirements

  • PhD in electrical engineering, industrial engineering, applied mathematics, computer science, or a comparable domain, with a focus on electricity markets and/or power system optimization.
  • Ability to conduct high quality academic research, demonstrated for instance by relevant publication(s).
  • Experience with Python programming is a must. Further experience in software and/or web development is an advantage.
  • Genuine interest in conducting research in an educational setting. Relevant experience is an advantage.
  • Excellent mastering of the English language, good communication and leadership skills. Note that there is no Dutch language requirement.
  • Be a team player and able to work in a dynamic, interdisciplinary context.

Conditions of employment

  • A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
  • A full-time employment for 1 year, with the possibility of extending it to 2 years based on performance.
  • You will have free access to high-quality training programs on general skills, didactics and topics related to research and valorization.
  • A gross monthly salary and benefits in accordance with the Collective Labor Agreement for Dutch Universities.
  • Benefits in accordance with the Collective Labor Agreement of the Dutch Universities.
  • A broad package of fringe benefits (including an excellent technical infrastructure, moving expenses, and savings schemes).
  • Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

Specifications

  • Postdoc
  • Engineering
  • max. 38 hours per week
  • Doctorate
  • V36.5264

Employer

Eindhoven University of Technology (TU/e)

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Location

De Rondom 70, 5612 AP, Eindhoven

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