The research focus lies at the intersection between control theory and data science and possible topics include: data-based control, optimization, uncertainty quantification for sequential decision making; online learning; system identification.
The ideal candidates have: a degree in a relevant field, such as cybernetics, automation, electrical, mechanical, or aerospace engineering; a strong background in control and dynamical systems and/or machine learning subjects; curiosity to explore novel theoretical and algorithmic aspects of the topics above.
Interested candidates can apply by sending an email to andrea.iannelli@ist.uni-stuttgart.de with:
- Motivation letter describing background and research interests (1 page)
- Full transcripts of academic degrees
- CV (including 2-3 referees)
Starting date (flexible): Autumn 2022.
For questions do not hesitate to get in touch at the same address.