About the opportunity
The Chair of Learning Technical Systems at the Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum, is seeking a full-time Research Associate for a fixed-term period of 36 months. The group conducts core research in artificial intelligence and machine learning, with a primary focus on online decision-making under uncertainty, multiarmed bandits, and reinforcement learning. The successful candidate will work on developing robust and efficient collective algorithmic recourse methods to enhance the resilience of mission-critical networked systems, combining theoretical analysis with practical optimization.
Salary and benefits
- Salary based on the collective agreement of the Länder (TV-L) at pay grade E13 TV-L, provided personal and collective agreement requirements are met.
- No teaching obligation if the position is funded by third-party funds.
- Participation in a DFG Priority Programme (SPP) offering opportunities for scientific exchange, networking, project meetings, and workshops.
- Free language courses provided by Ruhr University Bochum, including German as a Foreign Language courses via the University Language Center (ZFA).
- A cooperative and friendly working environment supporting professional growth and creativity.
Who can apply?
- An excellent, recently completed Ph.D. or M.Sc. degree with a strong publication record.
- Academic background in Computer Science (Machine Learning and Artificial Intelligence), Mathematics (pure or applied, including Operations Research), Electrical Engineering (Signal Processing, Information Theory), or related fields such as Theoretical Physics.
- A solid mathematical background and strong programming skills.
- Excellent command of English, both written and spoken.
- Competence in either German or English with a willingness to learn the other campus language.
Required documents
- Cover letter
- Curriculum vitae in tabular format
- Certificates (such as work references, degree certificates, and training certificates)
When to apply
- Applications are accepted until November 2, 2026.
How to apply
- Submit your application via the online application portal on the Ruhr University Bochum job board.
- Ensure the reference number ANR 6234 is mentioned in your application.
- Alternatively, applications including all required documents can be sent via email referencing the designated contact channel.
Additional information
- The position is offered at 100% full-time scope, amounting to 39.83 hours per week.
- The place of work is Ruhr University Bochum, Germany.
- Ruhr University Bochum is an equal opportunity employer that values diversity and encourages applications from women and individuals with disabilities.
Our Take on This Opportunity
This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.
You may be a strong fit if…
- Strong background in machine learning, optimization, or multi-agent systems with solid mathematical and programming capabilities.
- Researchers eager to publish in leading scientific venues as part of a structured DFG Priority Programme.
- Candidates holding a recent Master's or Ph.D. seeking a dedicated 36-month research appointment without mandatory teaching duties.
What should you think carefully about?
- The role is fixed-term for a duration of 36 months.
- Relocation to Bochum, Germany, is required as the physical place of work is Ruhr University Bochum.
- Interview travel and accommodation expenses cannot be reimbursed by the university.
How could this fit your current goals and plans?
This three-year research position provides an excellent stepping stone for early-career researchers aiming to build a strong publication record in artificial intelligence and machine learning while engaging with national research networks through a DFG Priority Programme.
Our take
Applicants with a solid foundation in machine learning, optimization, or related quantitative disciplines who are interested in networked systems and collective algorithmic recourse should seriously consider applying before the November 2, 2026 deadline.
Ready to apply?
Review the opportunity on the official website before applying.
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