Job Information
Organisation/Company: Universität Ulm
Department: Institute of Biomedical Engineering
Research Field: Computer science » Cybernetics; Technology » Medical technology; Engineering » Biomedical engineering; Computer science » Other; Neurosciences » Neuroinformatics
Researcher Profile: Recognised Researcher (R2); Established Researcher (R3)
Positions: Postdoc Positions
Application Deadline: 15 Sep 2026 - 23:59 (Europe/Berlin)
Country: Germany
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 40
Offer Starting Date: 1 Oct 2026
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer Description
The Institute of Biomedical Engineering conducts research at the intersection of medical wearables, artificial intelligence, and remote health monitoring, driving innovation to improve patient outcomes. With this position funded through the Volkswagenstiftung, we are expanding our research into real-time personalized interventions using wearable electroencephalogram (EEG) during sleep. Our goal is to pioneer developments in wearable technology that integrate reinforcement learning to discover novel strategies for human interaction and uncover yet unknown physiological particularities of sleep and other human health factors.
Where to apply
Website: https://www.uni-ulm.de/in/bmt/institut/stellenangebote/
Requirements
Research Field: Engineering » Biomedical engineering (Education Level: PhD or equivalent)
Research Field: Computer science » Other (Education Level: PhD or equivalent)
Skills/Qualifications
- PhD (or near completion) in Biomedical Engineering, Computer Engineering, Computer Science, or a closely related field.
- Strong theoretical background in machine learning with proven experience in applying reinforcement learning to practical, applied problems.
- A clear interest in human health, wearable sensors, biosignals, and sleep physiology.
- Excellent problem-solving abilities, with a demonstrated capacity to contribute to cutting-edge research, secure external funding, and effectively disseminate findings.
- Outstanding communication skills (written and verbal) in English; proficiency in German is considered a strong asset.
- Experience in teaching and supervising students at the undergraduate and/or postgraduate level.
- A collaborative, team-oriented mindset with the interpersonal skills required to guide students and work effectively within a multidisciplinary research and health science environment.
Specific Requirements
Your Responsibilities
- Conduct pioneering research in the design and implementation of reinforcement learning within a real-time context, specifically addressing and overcoming sample efficiency challenges.
- Lead and mentor a small team of researchers in developing innovative technological solutions to be translated into human experiments.
- Disseminate research findings through high-quality peer-reviewed publications, top-tier conference presentations, and other scholarly outputs.
- Contribute to securing third-party funding to actively support and expand the research group's portfolio.
Languages: ENGLISH (Level: Excellent)
Research Field: Other
Years of Research Experience: 1 - 4
Additional Information
Benefits
We Offer
- A unique opportunity to shape and lead an innovative research direction within the institute and the broader university community.
- Close collaboration with leading academics and recognized experts in wearable technology, machine learning, and sleep research.
- Excellent infrastructure, providing state-of-the-art wearable and computational resources to drive your research rapidly forward.
- Strong translational support and facilities, including MDR: bring medical technology fast into clinics and to patients.
- A vibrant, supportive, and collaborative working environment within a dynamic and expanding research team.
- An interdisciplinary setting that actively fosters cutting-edge, innovative research across engineering and medicine.
- Strong prospects for academic growth and long-term career development.
- A competitive salary, aligned with German university pay scales (TV-L) and institutional regulations.
Selection process
Please apply in our application portal until the 15th of September! For further information please contact: Prof. Dr. Walter Karlen
Website for additional job details
https://www.uni-ulm.de/in/bmt/institut/stellenangebote/reinforcement-learning-for-neuromodulation/
Work Location(s)
Number of offers available: 1
Company/Institute: Universität Ulm
Country: Germany
City: Ulm
Geofield:
Contact
City: Ulm
Website: http://www.uni-ulm.de/bmt
Street: Albert-Einstein Allee 45
Postal Code: 89081
E-Mail: walter.karlen@uni-ulm.de
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