Job description

Are you our next Post Doc in exploring AI-driven approach to manage multi-energy flexibility assets and contribute to the acceleration of the on-going energy transition?
As the coordinator of Digital integration of multi-energy flexibility assets in Regional Energy Systems (Digi RES) project under the CETPartnership joint call, TU/e will lead a consortium, involving collaborators from KU Leuven and Chalmers University together with 8 industries partners, focuses on integrating diverse multi-energy flexibility assets across five pilot sites in the Netherlands, Belgium, and Sweden. By developing and validating innovative AI solutions, we aim to advance sustainable energy transitions in Europe. We look forward to this collaborative effort and its impact on regional energy systems.
Are you eager to get involved into the integrated systems approach of energy transition, to develop and implement optimization strategies to maximize the value and profitability of both industry and end-users? If so, you will enjoy the position very much.
We offer you an attractive and modern workplace with access to the excellent equipment of the TU/e, a varied work, a wide range of training opportunities, and possibilities to access advanced, state-of-the-art technologies, platforms from industrial partners of the Digi RES project.
Job Description
The candidate is expected to develop an innovative AI-based tool for the optimal operation of multi-energy systems in different time horizons (i.e., day-ahead and close to real time), using a rolling horizon approach, indifferent of their characteristics, energy carriers that they consist of, sizes and operation modes. The market analysis is considered for exploiting multi-energy flexibility from multiple EMSs. The candidate will apply AI models at the device levels to quantify flexibility potential which will contribute to flexibility regions offered by individual EMS. At the aggregated flexibility level, joint probabilities of flexibility resources offered by multiple EMS will be determined to specify on conservative flexibility region as well as stochastic flexibility region.
You will contribute to the EU project Digi RES , as a part of the Electrical Energy Systems group at Electrical Engineering dept at TU/e.

Job requirements

• A Ph D degree in Electrical Engineering, Information & Communication Technology, Data Science, or equivalent.
• Solid knowledge in Grid operation and control, Digital technologies, and AI/Machine Learning techniques.
• Strong competence in Control theory, Optimization, and Complexity theory.
• Excellent relevant modeling skills in Python.
• Ability to work in a team and interested in collaborating with the industrial partners.
• An academic attitude in order to develop new technologies and perform applied research with an integral view on what is needed for the future energy system.
• An excellent command of the English language, both in speaking and writing.
• Willingness to start as soon as possible.

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for 3 years.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. €4,020 max. €5,278).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs on general skills, didactics and topics related to research and valorization.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.
  

Information and application

About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Information
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager dr.ir. Christina Papadimitriou, email c.papadimitriou@tue.nl.


Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services, email HRServices@tue.nl.
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
We invite you to submit a complete application using the apply-button.
The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.