Postdocs to lead activities on Energy Data Spaces, and Trustworthy AI for Power Systems – DTU Wind

Are you a talented, self-motivated, and team-oriented person, who thrives in a collaborative environment and enjoys working with complex topics? We seek two Postdocs willing to be part of a world leading research environment and contribute to the development for the next generation scientific machine learning tools for power systems.
Are you a talented, self-motivated, and team-oriented person, who thrives in a collaborative environment and enjoys working with complex topics?

We seek two Postdocs willing to be part of a world leading research environment and contribute to the development for the next generation scientific machine learning tools for power systems. One Postdoc will be the scientific lead of a small DTU team, coordinating our scientific activities on two European projects: SYNERGIES and ODEON. The goal of the two projects is to establish a Digital Twin infrastructure at DTU, connecting power system simulations with energy data spaces, and develop state-of-the-art methods that will use the digital twins to enhance power system flexibility and resilience. The second Postdoc will focus on establishing a solid foundation for trustworthy machine learning tools and physics-informed neural networks for power system applications.

The Division for Power and Energy Systems of DTU Wind and Energy Systems provides cutting edge research in sustainable, reliable and cost-efficient energy systems to the benefit of society. At DTU Wind and Energy Systems you will enjoy the advantages of a creative and inspiring work environment shared with about 400 highly skilled and motivated colleagues.

The two postdocs are part of the ERC Starting Grant project “VeriPhIED”, and the Horizon Europe research projects “SYNERIGES” and “ODEON”. “VeriPhIED” is a prestigious grant by the European Research Council, which aims to develop the next generation scientific machine learning tools based on Trustworthy AI and Physics-Informed Machine Learning for power systems. SYNERGIES and ODEON are both an international research project, with up to 34 industrial and academic partners from over 13 European countries. Both projects aim to introduce Energy Data Spaces to unleash the data-driven innovation and sharing potential across diverse energy actors (e.g. consumers, prosumers, utilities, and others). SYNERGIES objective is to introduce a Reference Energy Data Space Implementation while ODEON’s objective is to introduce an open-source platform for federated Energy Data Spaces with the goal to interconnect Energy Data Spaces across Europe. SYNERGIES will be extensively validated in 3 demo sites, in Spain, Greece, and Denmark. More information about the project can be found here: https://synergies-project.eu/ ODEON will be extensively validated in 5 demo sites, in Spain, Greece, France, Ireland, and Denmark. ODEON started in January 2024 and will build upon the SYNERGIES project.

Responsibilities and qualifications
You will be part of a dynamic working environment with a pleasant team atmosphere where you will have the opportunity to grow and develop your academic, industry, and personal skills. Besides cutting-edge research, postdocs are given the opportunity to coordinate work packages in international research projects, collaborate with industry, write research proposals, teach courses, and co-supervise PhD and MSc students, which allow them to develop necessary skills for the next steps in their career.

As a postdoc, you are expected to carry-out high-quality research on the intersection of machine learning, optimization and/or power system dynamics, both from a theoretical/analytical point of view and coding.

We are looking for self-motivated and team-oriented persons who thrive in a collaborative environment and enjoy working with complex topics.

A successful candidate will have a solid background in at least four of the following points:

• Power system dynamics
• Optimization (convex optimization, MILP, non-linear)
• Machine learning techniques, statistics, and probabilities
• Programming tools such as Python, Julia, Pytorch, etc.
• Power system software such as Powerfactory, PSCAD, EMTP
• Excellent use of the English language
• Good ability to present results in oral presentations, and prepare scientific papers for publication in international journals

As a formal qualification, you must hold a PhD degree (or equivalent).

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

The period of employment is 1 year. The starting date is according to mutual agreement. The position is a full-time position.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Professor Nicolaos A. Cutululis, tel.:

+45 2132 4965, Email:

[email protected].

You can read more about the Department of DTU Wind and Energy Systems at www.wind.dtu.dk.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application procedure
Your complete online application must be submitted no later than 1 December 2024 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications

The assessment of applications will be ongoing and will start before the application deadline.

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

DTU Wind and Energy Systems aims at taking the renewable energy technology and its integration to the energy systems to the next level. Its goal is to create an impact for people and society through research and innovation and collaborate with the entire energy sector to develop the most effective technology on the planet.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

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