Faculty of Electrical Engineering and Information Technology :
Chair of Learning Technical Systems
In order to fill a fixed-term position in full-time (39.83 hours/week = 100%) at the earliest possible date, we are looking for a
Research associate (m/f/x)
The group conducts fundamental research in artificial intelligence and machine learning. Our work spans areas such as multi-armed bandits, transfer learning, federated learning, and learning in multi-agent systems involving cooperation, competition, and coordination. While our methods are generic and applicable across diverse fields, we primarily focus on engineering and technical applications, including the Internet of Things, communication networks, and robotics.
| Scope: | full-time |
| Duration: | fixed-term,
30.06.2028 (end of project) |
| Start: | at the earliest possible date |
| Apply by: |
2026-03-23 |
Your tasks:
The main task is to conduct high-quality and independent research on collaborative learning in wireless networks. The research addresses fundamental challenges related to efficiency, adaptability, and system performance. The objective is to develop learning algorithms and to analyze their behavior with respect to relevant performance metrics. The results are expected to be published in leading IEEE journals and/or major machine learning conferences.
Your profile:
- An excellent Ph.D. or M.Sc. degree with a strong publication record in Computer Science (Machine Learning and Artificial Intelligence) or Electrical Engineering (Signal Processing, Information Theory, Wireless Communications)
- A solid mathematical background
- Strong programming skills, especially Python
- Excellent command of English, both written and spoken.
We offer:
- We offer a cooperative and friendly working environment that encourages collaboration, creativity, and professional growth.
- The position is embedded in the framework of the 6GEM+ Transfer Hub, which involves several universities and research institutes. The successful candidate will benefit from opportunities for scientific exchange and collaboration through participation in project-related activities.
- Partial remote work (up to 40%) is possible.
Further information:
The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L.
Further information can be found at https://oeffentlicher-dienst.info/ (in German).
The place of work is Ruhr University Bochum.If the position is funded by third-party funds the employee has no teaching obligation.
RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees.
German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF).
https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en
The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr@rub.de.
The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum’s declared aim.
The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.
Contact persons for further information:
Prof. Setareh Maghsudi
Tel.: +49 234 32 27645
Klara Wallbaum
Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed.
We look forward to receiving your application via our online application portal by 2026-03-23. Please make sure to mention the reference number ANR 5481.
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