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PhD Researcher in Robotics and Clinical Intelligence for Neurorehabilitation (H1033) in Zürich

Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.

Jobbeschreibung

100%, Singapore, temporary

ETH Zurich is one of the leading universities of 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 do interdisciplinary research on pressing problems.

In collaboration with the National University of Singapore (NUS), the Nanyang Technological University (NTU), Duke - NUS, the National Health Group (NHG), National University Health System (NUHS), and SingHealth, SEC is undertaking a research programme on "Future Health Technologies (FHT)". It addresses some immanent health challenges by developing a future-oriented Mobile Digital Health Concept that tackles the increase in patients suffering from chronic diseases such as diabetes, obesity and stroke, as a consequence of a rapidly ageing population with mobile digital technologies, covering the value chain from acute care to patient's private homes.

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 PhD researcher within project 3 you will be responsible for the technical development, validation, and clinical application of advanced robotic technologies for minimally-supervised therapy of upper limb impairments post-stroke, in particular focusing on the hand. You will implement and evaluate clinical intelligence concepts and control algorithms focusing on assessment-driven therapies and the monitoring of therapy outcomes. This work will be performed in close collaboration with our research partners at Nanyang Technological University (NTU) and Tan Tock Seng Hospital (TTSH).

Your tasks will include:

  • Technical development and validation of robotic technologies, involving the implementation of advanced control methods supporting physical human-robot interaction.
  • Implementation and evaluation of clinical intelligence concepts established in collaboration with clinical partners, focusing on assessment-driven therapies and the monitoring of therapy outcomes through digital biomarkers extracted from robot data.
  • Clinical application of robotic technologies for a minimally supervised therapy of upper limb impairments post-stroke through the collection of high-quality data from post-stroke patients in clinical and home environments.
  • Interface between clinical and engineering partners of the project, and integrate key technical and clinical concepts from all technologies developed within Module 3.
  • Communication of research outcomes at international conferences and in peer-reviewed journals.

The earliest starting date for the position is January 2021. If it is necessary for the applicant to apply for a work permit in Singapore, a later starting date is expected. The position is funded for 4 years.

Your profile
  • A MSc in Mechanical Engineering, Electrical Engineering, Biomedical Engineering or related fields
  • A strong interest in neurorehabilitation and in working with and developing robotic technologies for neurorehabilitation
  • Experience with the development of robotic technologies (for neurorehabilitation), including strong knowledge in real-time control, physical human-robot interaction, hardware design, and electronics
  • Experience with the characterization and evaluation of robotic technologies
  • Strong interest in the clinical application of neurorehabilitation robotics
  • Motivation to work with clinicians and with patients (data collection)
  • Strong verbal and written communication skills in English
  • Scientific curiosity and motivation to perform scientifically rigorous experimental work
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.
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.

Veröffentlicht am

28-02-2024

Extra Informationen

Status
Inaktiv
Standort
Zürich
Jobart
Werkstudentenstelle
Tätigkeitsbereich
Technik / Elektronik
Führerschein erforderlich?
Nein
Auto erforderlich?
Nein
Motivationsschreiben erforderlich?
Nein

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