Job description
We are seeking a highly motivated Postdoctoral Researcher to join the ongoing research activities within the framework of the CRESYM organization. The position is connected to the Harmony project, funded by CRESYM, TenneT, and Swissgrid, and focuses on advanced coordinated optimal control and optimization of integrated AC-MTDC power systems, with a particular emphasis on OPF-related methodologies for future transmission networks.
The candidate will work on the modeling, analysis, and simulation of AC–MTDC systems, including the development of optimization and control frameworks that enable secure, efficient, and flexible grid operation. Depending on the candidate’s expertise and interests, the research may include topics such as:
- Optimal control of AC–MTDC systems with high penetration of renewable energy sources
- Dynamic and security-constrained optimal power flow
- Multi-timescale operation and control of hybrid AC/DC grids
- Real-time and predictive control methods for future power systems
This is a full-time postdoctoral appointment with close collaboration opportunities with industrial partners including TenneT and Swissgrid. The position offers access to advanced simulation and experimental infrastructure, including RTDS platforms, HVDC and DC grids laboratories, and wide-area monitoring and protection systems.
You will be jointly supervised by Dr. Aleksandra Lekić and Dr. Robert Dimitrovski, and you will become a member of the Intelligent Electrical Power Grids (IEPG) section within the Faculty of Electrical Engineering, Mathematics and Computer Science. Within the team, we strive to develop mathematically rigorous methods with strong near-term application potential. We strongly support open science practices, including scientific publishing, open-source software, and data sharing.
About the department
The research in the Department of Electrical Sustainable Energy is inspired by the technical, scientific, and societal challenges originating from the transition toward a more sustainable society and focuses on three areas:
- DC Systems, Energy Conversion and Storage (DCE&S)
- Photovoltaic Materials and Devices (PVMD)
- Intelligent Electrical Power Grids (IEPG)
- High Voltage Technologies (HVT)
The department provides expertise across the entire energy system chain and hosts extensive research facilities, including high-voltage testing laboratories, DC grids testing environments, and large-scale RTDS infrastructure for real-time simulation of future electrical power systems, AC/DC protection, and wide-area monitoring and protection.
The IEPG group, headed by Prof. Peter Palensky, focuses on the future evolution of electrical power systems. The group develops advanced power technologies and intelligent control approaches to enable reliable, efficient, stable, affordable, and sustainable energy systems with increasing levels of distributed and renewable generation.
Job requirements
Essentials:
- Solid knowledge of electrical power systems and supply-demand matching.
- Solid experience in the modeling techniques for power systems.
- Solid experience in programming and simulation with at least one programming language (MATLAB, Python, Julia, MATLAB, C/C++).
- Excellent analytical skills and solid knowledge of machine learning and/or operational research. You can understand literature in both disciplines.
- You enjoy performing research. You are independent, self-motivated, and eager to learn.
- You are keen to work with partners to link real-world challenges to fundamental research questions.
TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.
At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.
Challenge. Change. Impact!
Faculty of Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.
Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.
Conditions of employment
- Duration of contract is 3,5 months Temporary
- A job of 35-40 hours per week.
- Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
- An excellent pension scheme via the ABP.
- The possibility to compile an individual employment package every year.
- Discount with health insurers on supplemental packages.
- Flexible working week.
- Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget.
- Plenty of opportunities for education, training and courses.
- Partially paid parental leave
- Attention for working healthy and energetically with the vitality program.
Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. .
Additional information
If you would like more information about this vacancy or the selection procedure, please contact Dr. Aleksandra Lekic, via a.lekic@tudelft.nl. For information about the selection procedure, please contact Carla Jager, Management Assistant, email: C.P.Jager@tudelft.nl.
Application procedure
Are you interested in this vacancy? Please apply no later than 11 June 2026 via the application button and upload the following documents:
You can address your application to Dr. Aleksandra Lekic.
Please note:
- You can apply online. We will not process applications sent by email and/or post.
- As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security.
- Please do not contact us for unsolicited services.
