Monday, April 19, 2021

Postdoctoral researcher in computational modelling for early detection of health risk and prevention


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 SingHealthSEC is running a research program on "Future Health Technologies (FHT)". It addresses some imminent health challenges by developing a future-oriented Mobile Digital Health Concept that tackles the increase in patients suffering from chronic diseases such as diabetes, osteoporosis, obesity and stroke, as a consequence of a rapidly aging population with mobile digital technologies, covering the value chain from acute care to patient's private homes.

Project background

Falls and fractures are major health risks to the elderly and preventing them is inherently linked with accurately identifying individuals at risk – those with motor deficits and compromised bone integrity. When risk is detected early, therapies aimed at reducing or preventing injurious falls can be most effective. However, despite the huge socioeconomic impact of falls and fractures worldwide, current efforts have only made partial headway into fully understanding and addressing the problem. The underlying reason for this lack of substantial progress could be linked to the fact that fall and fracture risks are approached independently, which ignores the fact that falls, and fractures have overlapping aetiologies as well as a synergistic relationship.

With this project, we aim to address the limitations of current screening methods and develop novel, subject-specific computer models for diagnosing hip fracture risk and novel methods for preventing fractures from occurring. The proposed research will combine, image processing of large cohort databases, dynamic Finite Element Analysis, in-silico clinical trials and data driven methods to achieve the goals of the project.

The post-doctoral researcher will enter a team of researchers that is working on improving the management of the risk of injurious falls in Singaporean elderly.

Job description

As a post-doctoral researcher in the FHT program, you will be responsible for:

  • Carrying out independent research for achieving the goals of the FHT program
  • Assisting in the daily management of Module 1 - Falls and fractures within the FHT program including e.g. co-supervision of PhD, MSc and BSc students, writing funding applications, prepare progress reports and general dissemination of project results
  • Developing methods for automatic processing of large cohorts of image data for assessing hip fracture risk and quantifying the effectiveness of preventive treatments

Your profile

Candidates with a PhD or equivalent in Computer Science, Mechanical Engineering, Applied Mathematics, Electrical Engineering, Automotive Engineering, Civil Engineering, Biomedical Engineering, or related fields are encouraged to apply. Experience with any of the following would be a distinct advantage: Data science methods, programming in Python and C++, working with Linux or Unix operating systems, working with VTK, image analysis, statistical shape databases, population studies, Finite Element Analysis, CFD, fracture mechanics and bone mechanics. Funding is available for two years with a potential extension. Applications will be accepted until the position is filled.

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.


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

  • A cover letter with a specific statement of your motivation for the project
  • Your CV including a list of publications and the name and contact information of 2 referees
  • A copy of your university transcripts

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about the project can be found on our websites:

For further information please contact: Dr. Benedikt Helgason by email: (no applications).

The Singapore-ETH-Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.

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