
Search by job, company or skills
Stroke remains a leading cause of disability worldwide. While improved early stroke response has reduced mortality, it has also led to a growing population of stroke survivors, increasing the demand for long-term rehabilitation and placing significant clinical and economic burden on healthcare systems. The current neurorehabilitation model relies heavily on resource-intensive, therapist-led care to meet the growing demand, underscoring the need for scalable, cost-effective solutions that extend into home settings. To address this gap the first phase of the Future Health Technologies Programme (FHT1) at the Singapore-ETH Centre (SEC) (https://fht.ethz.ch) developed and piloted innovative upper limb rehabilitation technologies and evaluated them in a clinical context, both in the hospital and at the home of post-stroke subjects. Building on this progress, FHT2 seeks to scale up these technologies and conduct more extensive clinical evaluation to promote integration of technology-based clinic-to-home rehabilitation into Singapore's healthcare system.
Specifically, one of our projects focuses on the technical development and clinical validation of a soft robotic hand orthosis to enhance upper limb rehabilitation sessions in the clinic and allow for additional task-oriented training at home. The project will build on the RELab tenoexo technology, a soft exoskeleton that was developed at ETH Zurich and refined during FHT1. As main features, RELab tenoexo can support grasping, is fully tailorable to the hand of the user, is fully wearable and weighs less than 300g. A proof-of-concept trial demonstrated preliminary feasibility and safety of using RELab tenoexo in chronic stroke.
Within this PhD project, the objective will be to further develop and evaluate RELab tenoexo and demonstrate that a soft hand exoskeleton can be a cost-efficient way to increase therapy dose at home and improve upper limb function of post-stroke subjects. To achieve this goal, we will (i) improve and optimize several key design features of RELab tenoexo,(ii) combine RELab tenoexo with behavioural interventions delivered by a motivational AI chatbot (developed by another PhD student) to enhance motivation to engage in therapy at home, and (iii) evaluate long-term adherence to use at home, functional improvements, movement quality metrics, as well as required resources/costs in the context of a proof of value clinical trial.
As a PhD researcher your work will focus on evaluating and improving the RELab tenoexo (https://www.youtube.com/watchv=LP43SQpwyvk),an existing actuated lightweight soft hand exoskeleton for neuro rehabilitation. Following a user-centered approach considering the needs and requirements of post-stroke subjects and input from clinicians, you will identify key factors and enablers to improve robustness, usability and applicability in daily life situations, as well as the impact it may have on specific users (case studies). The work will be performed in close collaboration with our research partners at Nanyang Technological University (NTU) and Tan Tock Seng Hospital (TTSH).
Your tasks will include:
You will have:
We seek candidates who take ownership of their research and are able to independently drive ideas forward. Successful applicants will actively engage with supervisors and collaborators, seek input when needed, and thoughtfully integrate feedback.
Why SEC is your employer of choice
The Singapore-ETH Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.
Curious So are we.
We look forward to receiving your online application with the following documents:
Applications via email or postal services will not be considered.
Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)
Duration: Full-Time position (4-Year Contract)
Further information about The Singapore-ETH Centre can be found on our website: https://sec.ethz.ch/
For further information, please contact: Prof. Dr. Olivier Lambercy (ETH Zurich) at [Confidential Information], (strictly no applications)
Job ID: 146503557