This PhD position is of the research unit "ALeSCo - Active Learning for Systems and Control" funded by the German Research Foundation (DFG) and its main responsibility is to carry out the research in the Ilmenau-based ALeSCo Project P3 entitled "Active learning in the Koopman framework" and to represent Ilmenau at the joint ALeSCo activities. Participation at international conferences and research visits at other top research centers are supported and highly welcome.
Your tasks
The position includes the following responsibilities:
Aim of the PhD project is to develop novel active-learning model predictive control schemes within the Koopman framework with rigorously derived guarantees, e.g., w.r.t. the approximation error. To this end, the assessment of retrieved data is conditioned on the control objective to properly balance exploration and exploitation. To this end, novel notions of data informativity have to be developed. The research will be at the interface of mathematics, control theory, and machine learning. A more detailed project description can be found on https://www.alesco.uni-hannover.de/en/research-projects/p3.
Your profile
For being part of the selection process is needed:
1. Completed excellent scientific university degree (Master/ Dipl. (Univ.)) in mathematics, control theory/cybernetics or equivalent
2. strong proficiency in spoken and written English (level C2)
Following competences are desirable:
3. strong background in control theory and mathematics
4. good programming skills
5. German language skills (level B2, if German is not your native language) Interested in actively collaborating and interacting with other researchers from control engineering, computer science, and robotics as well as Initial research experience and experience in implementing simulation environments.
Please provide evidence of the qualifications required for the job by certificates and references.
If you are interested, please apply before August 08, 2025, and compile
6. a letter of motivation (max. 1/2 page)
7. short description of master thesis results, and other relevant experience, e.g., programming projects (max 2 pages)
8. short CV (max. 2 pages)
9. Master's degree certificate incl. grades (if available, otherwise most current transcript of grades)
10. Bachelor's degree certificate (incl. transcript of grades)
11. A-Level and Abitur (incl. grades)
12. names of two reference persons including phone numbers and email addresses (e.g. master thesis supervisors)
The starting date should be between October 2025 and March 2026.
In principle, the job is also suitable for part-time employment. The extent to which a part-time request can be granted, in particular with regard to the location and extent of part-time work, will be examined on the basis of the needs of the service.
What we offer you:
13. attractive remuneration according to collective agreement (as per TV-L) incl. granting of a special annual payment
14. vacation entitlement of 30 days in the calendar year and additional days off on 24 / 31 December
15. family-friendly, flexible working time model
16. VBL - pension scheme in the public sector
17. wide range of individual training opportunities
18. extensive health and sports programs
19. respectful working environment at a renowned university