Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.
The Nonlinear Systems and Control group (
https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control
) at Aalto University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems.
The research group is seeking a talented
Doctoral Researcher in nonlinear systems and control
with strong interest in nonlinear stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control.
The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees on performance and safety, for example, through the efficient computation of Lyapunov and barrier functions, forward and backward reachable sets, optimal value functions etc. The broad goal is to build upon recent developments in learning Operator Theoretic representations of dynamical systems that focus on model interpretability, scalability to high dimensions, and data efficiency. The exact direction of the research is chosen depending on your experience and interests. Please relate clearly to some of the research topics in your Letter of Motivation.
Outstanding researchers from the areas of Control Engineering, Robotics, Machine Learning, AI, and related areas including Optimization, Mathematics and Physics are welcome to apply. The candidate is expected to conduct independent research and should have strong analytical skills as well as be fluent in spoken and written English. Successful candidates will have the opportunity to collaborate with the vibrant Aalto research community, including the
Intelligent Robotics group
and the
Mobile Robotics group
, as well as the
Finnish Center for Artificial Intelligence
. The group also actively collaborates internationally with top institutions in the US and Sweden.
If you are chosen for this position, you will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria at
https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering
.

• A letter of motivation describing your research interests and how the research fits to the Nonlinear Systems and Control group (max. 1 page)
• Curriculum vitae (include the contact details of at least two references, and if available, a list of publications)
• PDF copy of your MSc and BSc degree certificates, including transcripts of all MSc and BSc university records (grades and courses) and their English translations (Finnish and Swedish certificates are also accepted). Unofficial transcripts are acceptable for job application purposes