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Robotics Engineer in Neurorehabilitation Robotics (H1030)
100%, Singapore, fixed-term
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
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:
Coordination and implementation of the hardware and software developments,
maintenance, and deployment of all robotic technologies within Module 3.
Coordination and implementation of the manufacturing and assembly of all
robotic devices within Module 3
Improvement of the design of gamified rehabilitation exercises
Implementation and deployment of a connected digital ecosystem between
robotic devices that is connected to an existing IT infrastructure, and a
dashboard for visualizing data obtained from rehabilitation devices
Development of a novel user interface adapted for use in clinics by
Design, build, and operate custom characterization tools for robotic
devices and performance validation
Successful candidates have:
A Bachelor or Masters in Mechanical engineering or related studies.
Experience with the assembly, maintenance, and deployment of robotic
devices for neurorehabilitation purposes.
Experience in the design of robotic devices.
Strong documentation and English writing and communication skills.
Problem identification and solving skills, a critical thinking mindset,
and able to work independently
Experience with rapid prototyping and 3D printing techniques
The following competences are a plus:
Experience in software development, game design, and dashboard design
(e.g., Unity, MATLAB/Python, C#).
Experience in UX or UI design.
Experience in hands-on development and troubleshooting on complex systems
and multidisciplinary projects.
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 Get connected
We look forward to receiving your online application with the following
Cover letter outlining your motivation and experience in the field,
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
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-
Questions (not applications) regarding the position should be directed to
Dr. Christoph Kanzler (firstname.lastname@example.org) and Kevin Sin
(email@example.com) by email.
Apply online now