Research content

Our current research focuses on the development of control theoretic tools by advancing algorithmic methods in the emerging field of Data-driven and Online Optimization. The emphasis will be on the performance and computational aspects of the decision mechanism in the presence of environment uncertainties (stochastic systems) and information constraints (distributed nature). The developed methods will be applied to problems motivated by security and privacy of networked cyber-physical systems.

Open positions

We have an open position for a postdoctoral scholar in a broad area of Real-time decision making for autonomous mobile robots in collaboration with the Cognitive Robotics department. We are looking for exceptional applicants with the following requirements:

  • Solid background in one of the areas of Systems and Control, Operations Research, Electrical Engineering, Computer Science or a related field.

  • Strong mathematical skills and ability to work at the intersection of several technical research domains, in particular Control, Optimization, and Machine Learning.

  • Excellent command of the English language and communication skills.

Information and application

  • Detailed CV including contact information of three references

  • Brief motivation letter (1-2 pages) stating research interests and vision

  • Academic transcripts of (under)graduate coursework

Rightarrow Please submit your application or inquiries regarding the above positions to Prof. Javier Alonso-Mora (, Prof. Jens Kober (, or Prof. Peyman Mohajerin Esfahani (