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Research Assistant (Data Analyst)

Research Assistant (Data Analyst)

ETH SINGAPORE SEC LTD.Singapore
4 days ago
Job description

Introduction

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.

The Singapore-ETH Centre is home to a community of doctoral, postdoctoral and professorial researchers working in three main programmes : Future Cities Laboratory , Future Resilient Systems , and Future Health Technologies . The centre provides a multicultural and interdisciplinary environment to researchers working on diverse themes, with the shared vision of translating research to practical solutions for more sustainable and liveable cities, resilient physical and social urban systems, and patient-centric healthcare systems.

Project background

The global population is rapidly ageing, with the percentage of the population aged 60 years and older predicted to increase dramatically by 2050. 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. We propose that an underlying reason for this lack of substantial progress is that fall and fracture risks are approached independently, which ignores the fact that falls and fractures have overlapping aetiologias as well as a synergistic relationship. 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 currently undertaking a research program on "Future Health Technologies (FHT)". FHT addresses fundamental health challenges by developing a future-oriented Mobile Digital Health Concept. Our Module within FHT addresses early detection of risks, such that therapies aimed at reducing or preventing injurious falls can be most effective.

Join our multidisciplinary team in developing algorithms for processing wearable sensor data and characterise gait behaviour in older adults. Your work will directly contribute to quantifying movement patterns and identifying fall-risk profiles across the elderly population.

Job description

As a Research Assistant in the fall risk assessment project within FHT, you will be responsible for :

Wearable sensor algorithm development and testing

  • Design and optimize preprocessing and feature-extraction pipelines for wearable IMU time series data using AI
  • Validate algorithm with gold standard data collected in motion capture lab.
  • Evaluate algorithm performance under varying noise levels and real-world scenarios

Statistical Analysis :

  • Explore and characterize the distribution of gait metrics in large elderly datasets.
  • Implement statistical tests and distribution-fitting procedures.

    • Data Visualization :

  • Develop clear, publication-quality visualizations to compare movement distributions at both the cohort and individual levels.
  • Create dashboards or interactive plots (e.g., histograms, kernel density estimates, boxplots) to highlight key differences and outliers.

    • Documentation & Reporting :

  • Maintain codebase with version control (Git).
  • Prepare regular progress reports and contribute to manuscripts or presentations.

    • Mandatory Requirements

  • A university degree (Bachelor's or equivalent) in Data Science, Computer Science, Biomedical Engineering , or a related field.
  • Proficiency in both Python and MATLAB.
  • Strong foundation in machine learning and deep learning methods and data visualization.
  • Experience with wearable sensor (IMU) data and gait analysis is a plus.
  • Excellent communication and "people" skills and the ability to work both independently and in a collaborative research setting.

    • Desirable Attributes

  • Be proactive, communicative and show personal responsibility, initiative and enjoy technology-related and interdisciplinary teamwork.
  • Can work autonomously and with a self-starter attitude.
  • Good communication skills orally and in writing.
  • Previous experience with health-related data and protocols.

    • Why SEC is your employer of choice?

  • Adopted 5 Tripartite Standards by Tripartite Alliance for Fair & Progressive Employment Practices (TAFEP) Singapore.
  • A diverse workplace with 32 nationalities, offering ample opportunities for mutual learning.
  • Positive and inclusive working environment.
  • 25 days of annual leave for fixed-term contracts.
  • 1 day of Birthday Leave.
  • Annual dental benefits.
  • Committed to being a supportive employer as you prioritize your physical and mental wellness.
  • Comprehensive healthcare insurance coverage.
  • Flexible hybrid work arrangement (up to 2 days per week from home).
  • Abundant networking opportunities across various disciplines.
  • Accredited with NS mark certification.

    • 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.

    Curious? So are we.

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

  • Cover letter outlining your motivation and experience in the field
  • Educational certificates

    • Applications via email or postal services will not be considered.

    Work location : 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)

    The salary will be commensurate with the candidate's experience.

    Further information about Future Health Technologies Programme can be found on the website : https : / / fht.ethz.ch

    For further information, please contact : Dr. Navrag Singh at navrag.singh@sec.ethz.ch

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