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Walter Karlen

1 week ago

Post-Doc: Reinforcement Learning for Neuromodulation Ulm University in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Sep 15, 2026

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Country

Germany

University

Ulm University

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Keywords

Computer Science
Biomedical Engineering
Artificial Intelligence
Neuropsychology
Medical Science
Reinforcement Learning
Neuromodulation
Remote Monitoring
ML

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About this position

The Institute of Biomedical Engineering at Ulm University is offering a postdoctoral position focused on reinforcement learning for neuromodulation. The project sits at the intersection of medical wearables, artificial intelligence, remote health monitoring, and sleep research, with a strong translational focus on improving patient outcomes.

The successful candidate will help develop real-time personalized interventions using wearable EEG during sleep. The research aims to pioneer wearable technologies that integrate reinforcement learning to discover novel strategies for human interaction and to explore previously unknown physiological characteristics of sleep and other human health factors.

This is a full-time temporary postdoc position (40 hours/week), starting 1 October 2026. The post is funded through the Volkswagenstiftung and offers a competitive salary aligned with German university pay scales (TV-L).

Applicants should hold a PhD or be near completion in Biomedical Engineering, Computer Engineering, Computer Science, or a closely related field. A strong theoretical background in machine learning and proven experience applying reinforcement learning to practical problems are essential. The role also calls for interest in human health, w wearable sensors, biosignals, and sleep physiology, along with excellent English communication skills; German is considered an asset.

The position includes research leadership responsibilities, including mentoring a small team, developing solutions to be translated into human experiments, publishing in high-quality journals and conferences, and contributing to third-party funding applications. Experience in teaching and student supervision is desired, together with a collaborative mindset suitable for interdisciplinary work across engineering and medicine.

Applications should be submitted via the University of Ulm application portal by 15 September 2026, 23:59 (Europe/Berlin). For questions, contact Prof. Dr. Walter Karlen at [email protected].

Funding details

Available

What's required

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 applying reinforcement learning to practical, applied problems. Clear interest in human health, wearable sensors, biosignals, and sleep physiology. Excellent problem-solving abilities, demonstrated capacity to contribute to cutting-edge research, secure external funding, and disseminate findings. Outstanding written and verbal English; German proficiency is a strong asset. Experience teaching and supervising students at undergraduate and/or postgraduate level. Collaborative, team-oriented mindset with the interpersonal skills needed to guide students and work in a multidisciplinary research and health science environment.

How to apply

Apply through the university application portal before 15 September 2026 at 23:59 Europe/Berlin. For further information, contact Prof. Dr. Walter Karlen. Use the provided institute jobs page to access the application form and additional job details.

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