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 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.
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).
As a Robotics Engineer in this Module, you will coordinate and implement the preparation, deployment, and maintenance of all robotic devices within Module 3. You will closely work together with PhD researchers and support them in the implementation in their engineering and software projects, and in performing clinical trials with stroke patients at the Tan Tock Seng Hospital.
Your tasks will include:
Successful candidates have:
The following competences are a plus:
We look forward to receiving your online application with the following documents:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
For further information about our research and projects, please visit www.relab.ethz.ch. More information about the Connected Rehabilitation Module of the FHT programme is available under: www.fht.ethz.ch/research/Connected-rehabilitation-technology-assistive-devices.
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