Chalmers University of Technology invites applications for a postdoctoral position in kernel-based learning for predictive control, located in the Division of Systems and Control within the Department of Electrical Engineering. The research group specializes in data-driven control methodologies, focusing on innovative approaches to learning-based control in complex, nonlinear, and partially unknown dynamical systems. The project aims to advance model-based control frameworks, particularly addressing theoretical challenges in scalability, uncertainty bounds, and safety guarantees using techniques such as Gaussian process regression for model predictive control.

As a postdoc, you will conduct research, publish in international peer-reviewed journals and conferences, and support PhD candidates working on related topics. The position offers a dynamic and collaborative environment, with opportunities to contribute to both academic and practical advancements in control theory, system identification, and machine learning. The role is ideal for candidates seeking to build a career in academia, industry, or the public sector.

Applicants must have a doctoral degree in Engineering or Applied Mathematics, strong English communication skills, and solid competence in control theory and system identification. Experience in teaching and research is expected, and knowledge in kernel-based learning and uncertainty quantification will strengthen your application. The position is a full-time employment for two years, with the possibility of a one-year extension, and requires physical presence in Gothenburg throughout the contract. Chalmers offers comprehensive employee benefits, including support for settling in Sweden, gender equality initiatives, and Swedish language courses.

To apply, submit your application via the online form by April 30, 2026, including your CV, publication list, teaching experience, and a personal letter outlining your research background and future goals. Incomplete applications or those sent by email will not be considered. Reference contacts will be requested after the interview. For further information, contact Assistant Professor Anna Scampicchio at [email protected].

Chalmers University of Technology is renowned for its research and education in technology and natural sciences, fostering innovation and sustainable solutions for societal challenges. The university is committed to scientific excellence, global engagement, and gender equality, providing an inspiring working environment in the coastal city of Gothenburg.