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Post-Doctoral Researcher in Rehabilitation Engineering and Digital Health Technologies (up to 4 years) 100%, Singapore, temporary

Inseriert am: 22.04.2020

Post-Doctoral Researcher in Rehabilitation Engineering and Digital Health Technologies (up to 4 years)

100%, Singapore, temporary

ETH Zurich is one of the leading universities in 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 perform interdisciplinary research on pressing problems. In collaboration with the Nanyang Technological University (NTU), the National University of Singapore (NUS), Duke - NUS, the National Health Group (NHG), National University Health System (NUHS), and SingHealth, SEC is undertaking a research program 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 strokes, 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. The 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 plan clinical trials, coordinate resources and generally supervise the research staff of Projects 1, 3, and 4. You will closely collaborate with our research partners from Nanyang Technological University (NTU), as well as industrial partners at ARTICARES and experts in clinical rehabilitation at Tan Tock Seng Hospital (TTSH). The position is planned for 4 years if a midterm review of the research activities after 2 years results in a positive evaluation.


Your tasks will include:



  • Management and planning of clinical trials, coordination of resources and general supervision of research staff (projects 1,3,4; ~14 people).

  • Responsibility for the deployment of the assessment and rehabilitation technologies; transfer of ETH technologies (VPIT; HandyBot, tenoexo, ZurichMove).

  • Coordination of hardware development, pilot testing and clinical integration.

  • Implementation of testing protocols and ethics applications.

  • Supervision of data collection and data integrity.


Your profile


Successful candidates have:



  • Doctoral degree and strong track record in rehabilitation engineering and application of digital health technologies for assessment and therapy of sensorimotor impairments in neurological patients.

  • Interdisciplinary expertise involving data collection and analysis, and coordination of clinical trials.

  • Extensive experience in collaboration with clinicians and patients.

  • Advanced knowledge in statistical analysis, machine learning and modelling applied to biomedical/neurorehabilitation fields.

  • Doctoral degree with > 3 years of practical experience in rehabilitation technology and clinical research.

  • Outstanding publication record in the field of neurorehabilitation engineering.

  • Excellent management skills and experience with supervising students.


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.Working, teaching and research at Singapore-ETH Centre

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