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Post-Doctoral Researcher in Rehabilitation Sciences and Digital Health Technologies H1033 in Zürich

Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.


100%, Singapore, fixed-term

ETH Zurich is one of the leading universities of the world with a strong focus on science and engineering. In 2010 it established the Singapore-ETH Centre (SEC) in collaboration with the National Research Foundation (NRF) to do interdisciplinary research on pressing problems.

In collaboration with the National University of Singapore (NUS), the Nanyang Technological University (NTU), Duke - NUS, the National Health Group (NHG), National University Health System (NUHS), and SingHealth, SEC is undertaking a research programme on "Future Health Technologies (FHT)". It addresses pressing health challenges by developing a Connected Rehabilitation and Assistive Technologies Concept that tackles the increase in patients suffering from chronic diseases such as stroke, as a consequence of a rapidly ageing population, covering the value chain from acute care to patient's private homes. Within this framework we are announcing the following job opening. Workplace is Singapore.

Project background

The Connected Rehabilitation and Assistive Technologies Module (Module 3) will develop enabling technologies that provide minimally supervised high-quality interventions via a “rehab gym” equipped with clinical intelligence. Available technologies will include new robotic devices and brain-computer interfaces that are tailored to the individual patient’s needs, linking unobtrusive technical assessments via multiple sensors with interventions in real or virtual environments.

Module 3 will develop and validate new tools for quantifying short-term and long-term rehabilitation outcomes (i.e. via specifically designed wearables, instrumented objects and automated assessments, which potentially interact with an FHT App) (Project 1), delivering rehabilitation training at all stages of the rehabilitation process and in a minimally supervised manner (i.e. via new therapy modalities using brain-machine interfaces and virtual reality (Project 2) as well as mobile and wearable rehabilitation robotics (Project 3)) and providing assistance in permanently impaired patients (i.e. via new wearable assistive robotics) (Project 4). We will, for the first time, develop and evaluate a technology-supported therapy and assistance concept for the upper extremity which spans across the continuum of care, i.e. extending from application at the bedside, to rehabilitation services provided by community centres and finally to patients’ homes. The collected data from devices across all projects will enable the identification of biomarkers for predicting recovery and treatment response, development of a personalised long-term care concept for stroke patients and estimation of social and economic long-term outcomes (i.e. value estimation).

Job description

As a Post-Doctoral Researcher in this Module, you will manage and conduct clinical trials, coordinate resources and generally supervise research staff. In addition, you will be responsible to support the overall coordination of Module 3. This work will be performed in collaboration with our research partners at Nanyang Technological University (NTU), industrial partners at ARTICARES, and Tan Tock Seng Hospital (TTSH) in Singapore.

Your tasks will include:

  • Implement and supervise an already planned large-scale clinical study related to assessing and predicting the time-course of upper limb sensorimotor recovery using conventional and digital health technologies (e.g., , )
  • Participate in data collection and ensure data integrity
  • Support and perform advanced data analyses to describe and predict stroke recovery
  • Manage and conduct clinical trials, coordinate resources, and supervise research staff
  • Support administrative tasks of Module 3, such as research coordination and reporting efforts
  • Lead the dissemination of research outcomes at conferences and in peer-reviewed journals
Your profile

You will have:

  • Doctoral degree and strong track record in one of the following fields: rehabilitation sciences, digital health technologies for assessment and therapy of sensorimotor impairments in neurological patients, biomedical data science or similar
  • Very good understanding of basic clinical principles and mechanisms of post-stroke neurorehabilitation
  • Advanced knowledge in machine learning, data mining, statistical analysis and modelling applied to biomedical/neurorehabilitation fields
  • Interdisciplinary expertise involving data collection and analysis
  • Extensive experience in coordination of clinical trials and collaboration with clinicians and patients
  • Excellent management skills and experience with supervising students
  • Strong verbal and written communication skills in English
Your workplace
Your workplace

We value diversity
In line with , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
Curious? So are we.

We look forward to receiving your online application with the following documents:

  • Cover letter outlining your motivation and experience in the field
  • A comprehensive CV including certificates (e.g. Master's and/or Bachelor's degree)
  • Transcript of records

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about Singapore-ETH Centre can be found on our website www.sec.ethz.ch. Questions regarding the position should be directed to Dr. Hsiao-ju (Rita) Cheng,  or Dr. Simone Kager,  (no applications).

Singapore-ETH Centre
The Singapore-ETH Centre provides a multicultural and interdisciplinary environment to researchers working on diverse themes focussed on sustainable and liveable cities, resilient urban systems, and patient-centric healthcare. The centre is home to a community of over 100 doctoral, postdoctoral and professorial researchers working in three main programmes: Future Cities Laboratory, Future Resilient Systems, and Future Health Technologies.

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