Postdoc Position: Uncertainty Quantification for Power Systems

contribute to groundbreaking research and help shape the future of energy.

We are looking for a postdoctoral researcher with a background in scientific computing to contribute to the development of computational methods for large-scale power system simulation. You will become a member of the Department of Mathematics at Radboud University (Nijmegen, Netherlands) and join the research group of Gabriel Lord and Laura Scarabosio, as part of UTOPYS (Understanding Large, Complex Power Systems). UTOPYS is a ten-year programme to build a new theory of large, complex power systems, enabled by a state-of-the-art real-time power system simulator.

As renewables and power electronics come to dominate the grid, we face unexplained blackouts, wide-area oscillations and converter-driven instabilities that traditional theory cannot fully explain. To study them, UTOPYS is building a state-of-the-art real-time EMT simulation facility at TU Delft. A facility like this is only as valuable as the models that run on it, and those models depend on uncertain parameters, operating conditions and scenarios. Radboud’s contribution is to develop the uncertainty quantification methodology that makes simulation results on this infrastructure reliable and interpretable.

As a postdoc, you will develop and implement advanced methods for uncertainty quantification on the UTOPYS facility. This includes model reduction and system identification, for example deriving equivalent models of parts of the network and estimating parameters and topology changes from day-to-day measurements such as PMU data. You will also develop methods to generate realistic parameter families, so that large models can be populated with plausible, varied components rather than identical defaults. Together with the other UTOPYS postdocs, you will take part in regular joint sessions at TU Delft, where you will learn to work with the real-time EMT simulator and help build the shared transmission model. You will also participate in relevant conferences and workshops and publish your findings in peer-reviewed journals.

Requirements

• You hold, or are working towards, a PhD degree in Applied Mathematics, Electrical Engineering or related (to be completed before the start date).
• You have a strong background in scientific computing and numerical analysis, and you possess software development skills (e.g., Python). Knowledge of uncertainty quantification or power systems is a plus.
• You are a team player who enjoys working in a dynamic, interdisciplinary team.
• You have good verbal and written communication skills.
• You can manage complex projects to completion on schedule.

Conditions of employment

• We will give you a temporary employment contract of two years.
• Your salary within salary scale 10 depends on your previous education and number of years of (relevant) work experience. The amounts in the scale are based on a 38-hour working week.
• You will receive an 8% holiday allowance and an 8,3% end-of-year bonus.
• You will receive extra days off. With full-time employment, you can choose between 30 or 41 days of annual leave instead of the statutory 20.

Additional employment conditions

Work and science require good employment practices. This is reflected in Radboud University's primary and secondary employment conditions. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes.

Employer

Radboud Universiteit
Faculty of Science

The Faculty of Science (FNWI), part of Radboud University, engages in groundbreaking research and excellent education. In doing so, we push the boundaries of scientific knowledge and pass that knowledge on to the next generation.

We seek solutions to major societal challenges, such as cybercrime and climate change and work on major scientific challenges, such as those in the quantum world. At the same time, we prepare our students for careers both within and outside the scientific field.

Currently, more than 1,300 colleagues contribute to research and education, some as researchers and lecturers, others as technical and administrative support officers. The faculty has a strong international character with staff from more than 70 countries. Together, we work in an informal, accessible and welcoming environment, with attention and space for personal and professional development for all.

Radboud University

At Radboud University, we aim to make an impact through our work. We achieve this by conducting groundbreaking research, providing high-quality education, offering excellent support, and fostering collaborations within and outside the university. In doing so, we contribute indispensably to a healthy, free world with equal opportunities for all. To accomplish this, we need even more colleagues who, based on their expertise, are willing to search for answers. We advocate for an inclusive community and welcome employees with diverse backgrounds, cultures, and perspectives.

If you want to learn more about working at Radboud University, follow our Instagram account and read stories from our colleagues.

We want to get the best out of science, others and ourselves. Why? Because this is what the world around us desperately needs. Leading research and education make an indispensable contribution to a healthy, free world with equal opportunities for all. You have a part to play!

Department

The position is part of the Applied Mathematics research group within the Department of Mathematics at Radboud University. Research within the group is represented by Riccardo Cristoferi, Gabriel Lord, Vanja Nikolić, Laura Scarabosio, and Stefanie Sonner.

The Department of Mathematics covers a broad range of topics in pure and applied mathematics, with strong interdisciplinary links and active collaborations with industry. It has a friendly and welcoming atmosphere, with a healthy balance between senior and early-career staff from around the world, and a community of more than 20 PhD candidates. There are regular research seminars as well as a number of informal events throughout the year.

The Department of Mathematics is part of the Institute for Mathematics, Astrophysics and Particle Physics within the Faculty of Science. Several activities are organised jointly across the institute to foster interdisciplinary interaction.

Additional information

You can apply only via the button below. Address your letter of application to Gabriel Lord. In the application form, you will find which documents you need to include with your application. We look forward to receiving your application.

The first interviews will take place on Tuesday 15 December and Wednesday 16 December. You will preferably start your employment as soon as possible.

We can imagine you're curious about our application procedure. It describes what you can expect during the application procedure and how we handle your personal data and internal and external candidates. Do you already work at Radboud University and have questions about making an internal move? Learn more about internal applications.