Publisher
source

Ulm University

PhD Position in Learning-Based Personalized Rehabilitation Robotics at Ulm University Ulm University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 30, 2026

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Country

United Kingdom

University

Ulm University

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Rehabilitation Engineering
Robotics
Machine learning

About this position

PhD opportunity at Ulm University in learning-based personalized rehabilitation robotics, focused on the ARMin rehabilitation exoskeleton. The project sits at the intersection of Biomedical Engineering, Robotics, Electrical Engineering, Computer Science, and Rehabilitation Engineering, with emphasis on learning-based control, machine learning strategies, and LLM-supported personalized intelligent training paradigms.

The PI/lab listed is Prof. Fabian Just from the Laboratory for Bionics and Rehabilitation Engineering / Institute of Biomedical Engineering. The position is described as fully funded and comes with a TV-L E13 (100%) salary for 4 years.

Ideal applicants are those with a strong interest in rehabilitation robotics, intelligent control, exoskeletons, and AI-enabled human-centered assistive technologies. The post highlights relevant fields rather than strict formal requirements, so candidates from engineering and computing backgrounds aligned with the project are encouraged to apply.

Deadline: 30 August 2026.

Apply: Use the official Ulm University vacancy page linked in the post and follow the university application instructions.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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