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ETH Zurich

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Postdoctoral Researcher in Soft Robotic Hand Exoskeletons and AI-Based Home Rehabilitation After Stroke ETH Zurich in Switzerland

Degree Level

Postdoc

Field of study

Computer Science

Funding

This is a full-time, fixed-term two-year postdoctoral position. Remuneration will be commensurate with the candidate's qualifications and relevant experience. The employment package includes 25 days of annual leave, one day of birthday leave, annual dental benefits, comprehensive healthcare insurance coverage, and a flexible hybrid work arrangement of up to two days per week from home.

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Country

Switzerland

University

ETH Zurich

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Keywords

Computer Science
Biomedical Engineering
Artificial Intelligence
Human-computer Interaction
Neuropsychology
Digital Health
Medical Science
Stroke Rehabilitation
Soft Robotics
Neurorehabilitation
Robotics

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About this position

The Singapore-ETH Centre is recruiting a postdoctoral researcher to lead research on technology-enabled home rehabilitation after stroke within the Future Health Technologies Programme. The project addresses the need for scalable rehabilitation that extends beyond therapist-led clinical care and supports stroke survivors in their homes.

The research focuses on the RELab tenoexo, a soft robotic hand exoskeleton designed to enhance upper-limb rehabilitation in clinical therapy and provide additional task-oriented training at home. The postdoctoral researcher will lead further development of the exoskeleton system, including design improvements, software and gamification, intention-detection approaches for control, interfaces with a companion digital application, and data analysis.

The project will integrate the exoskeleton with an AI-based digital health intervention: an LLM-powered conversational agent delivered through a mobile app. The app will support daily interaction, remote monitoring, telerehabilitation, and research data collection. The team will also investigate how neuromodulation may be combined with exoskeleton assistance to promote recovery after stroke.

The researcher will coordinate a multi-arm, six-week proof-of-value clinical trial evaluating clinic-to-home rehabilitation. Responsibilities include planning technical developments and user testing, coordinating clinical evaluation, preparing study protocols and ethics submissions, overseeing trial governance and regulatory compliance, and collaborating with clinical and community partners. The role also involves mentoring two PhD students and one engineer, supporting the principal investigators, and disseminating findings through conferences and peer-reviewed publications.

The work is conducted in an interdisciplinary and international environment at the Singapore-ETH Centre, in collaboration with Nanyang Technological University, Tan Tock Seng Hospital, and Stroke Support Station. The position combines biomedical engineering, soft robotics, digital health, clinical research, and neurorehabilitation.

Funding details

This is a full-time, fixed-term two-year postdoctoral position. Remuneration will be commensurate with the candidate's qualifications and relevant experience. The employment package includes 25 days of annual leave, one day of birthday leave, annual dental benefits, comprehensive healthcare insurance coverage, and a flexible hybrid work arrangement of up to two days per week from home.

What's required

Applicants must hold a PhD in Health Science and Technology, Biomedical Engineering, Rehabilitation Engineering, Neurorehabilitation, or a related field. At least five years of research-environment experience at PhD or postdoctoral level is required, including student supervision, team management, and grant and publication writing. Candidates should have experience in experimental technology-based neurorehabilitation research with human participants, including study design, ethics applications, data collection with neurological patients, and data analysis. Required or preferred qualifications include experience with robotic neurorehabilitation technologies, mechanical design and control, clinical principles of post-stroke neurorehabilitation, good clinical practice and high-quality data collection, student supervision, a strong publication record, excellent written and verbal English, independence, scientific curiosity, motivation for rigorous experimental research, and willingness to work in an international environment.

How to apply

Submit an online application through the application portal. Include a cover letter with a specific statement of motivation, a CV with the names and contact information of two references, and university transcripts as PDF files. Applications by email or post will not be considered.

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