Robotics Engineer in Neurorehabilitation Robotics (H1030)

ETH Zurich

Switzerland

December 20, 2021

Description

In der aktuellen Covid-19 Situation laufen die Rekrutierungen weiter. Es kann dabei allerdings zu Verzögerungen kommen. Vielen Dank für Ihr Verständnis.

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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 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.
  • 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 Get connected

    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.

    Apply online now

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