Olivier Lambercy
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PhD Researcher - PDTx ETH Zürich in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Country
Switzerland
University
ETH Zürich
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About this position
ETH Zürich and the Singapore-ETH Centre are offering a PhD position in a highly interdisciplinary project at the interface of digital health, neurorehabilitation, machine learning, and human-computer interaction. The project is part of Future Health Technologies (FHT2) and focuses on improving upper-limb stroke rehabilitation by combining a soft robotic hand orthosis with an AI-based digital intervention.
The PhD researcher will help design and build an LLM-based conversational agent delivered through a companion mobile app. The app will support daily interaction, remote monitoring, data collection, and telerehabilitation, while also interfacing with the soft exoskeleton developed by another PhD student. The work includes gathering requirements from clinicians and post-stroke users, developing and validating interactive features, integrating backend services and cross-platform mobile/web components, and evaluating the system in a 6-week proof-of-value clinical trial.
This position is based at the Singapore-ETH Centre, ETH Zurich's research centre in Singapore, with close collaboration with Nanyang Technological University and Tan Tock Seng Hospital. The broader research environment links rehabilitation technology, clinical research, and translational digital health, with the goal of supporting sustained therapy adherence at home and improving the scalability of therapy beyond therapist-led care.
Applicants should hold a Master’s degree in a relevant area such as Computer Science, Software Engineering, Health Sciences and Technology, Information Systems, or Informatics. Strong programming ability in Python is expected, together with experience in ML frameworks such as PyTorch or TensorFlow. Experience with LLM integration, prompt engineering, retrieval-augmented generation, and mobile app development are desirable, as are skills in JavaScript/TypeScript, React Native, Django or FastAPI, and cloud deployment. The role also calls for strong English communication, independence, and enthusiasm for clinically oriented translational research.
Applications must be submitted online via the ETH Zürich portal. Candidates should provide a cover letter describing their motivation, a CV including two references, and university transcripts as PDFs. Questions about the position may be directed to Prof. Dr. Olivier Lambercy.
Funding details
Available
What's required
A Master’s degree in Computer Science, Software Engineering, Health Sciences and Technology, Information Systems, Informatics, or a related field is required. Candidates should have a strong interest in neurorehabilitation and in developing digital tools for neurorehabilitation, hands-on experience with machine learning techniques or applications, strong Python skills, and experience with frameworks such as PyTorch or TensorFlow. Prior experience integrating LLMs into applications, including prompt engineering, API integration, or retrieval-augmented generation, is an advantage. Strong previous experience in app development, ideally mHealth applications, and experience with Python and JavaScript/TypeScript, especially React Native and Django or FastAPI, is preferred; familiarity with AWS is a plus. Applicants should have strong verbal and written English communication skills, independence, scientific curiosity, motivation for rigorous experimental work, willingness to work with clinicians and post-stroke subjects, and a desire to learn in an international environment.
How to apply
Submit the online application through the ETH Zürich portal. Include a cover letter stating your motivation, a CV with contact details for 2 references, and copies of your university transcripts as PDFs. Do not apply by email or postal mail.
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