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ETH Zurich

Robotics Engineer in Neurorehabilitation Robotics (H1030)

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Om arbetsgivaren

ETH Zurich is one of the leading international universities for technology and the natural sciences. It is well known for its excellent education, ...

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Robotics Engineer in Neurorehabilitation Robotics (H1030)

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.

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 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 therapists
  • Design, build, and operate custom characterization tools for robotic devices and performance validation

Your profile

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.

ETH Zurich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

Interested?

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

  • 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 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.

Questions (not applications) regarding the position should be directed to Dr. Christoph Kanzler (christoph.kanzler@sec.ethz.ch) and Kevin Sin (kevin.sin@sec.ethz.ch) by email.

Om tjänsten

Titel
Robotics Engineer in Neurorehabilitation Robotics (H1030)
Arbetsgivare
Plats
Rämistrasse 101, Schweiz
Publicerad
2021-11-20
Befattning
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