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Research Associate (Geotechnical Engineering)

Nanyang Technological University · Singapore · Full-time

2+ years Posted 19 Jan 2026

Quick Summary

  • Conduct research on advanced laboratory soil testing and related work
  • Produce project progress reports and peer-reviewed journal papers
  • Assist in developing research proposals for external funding

Full Description

Centre for Urban Solutions (CUS) is a research centre under the School of Civil and Environmental Engineering (CEE). The vision of the centre is to become a world leader in innovative solutions and technologies for urban centres and built environment. It aims to provide leadership in research and development in innovative solutions for sustainable living and infrastructures for future cities.

For more details, please view https://www.ntu.edu.sg/cus

We are looking for a Research Associate who will be based in School of Civil and Environmental Engineering (CEE) and will be expected to work effectively in developing innovative solutions for integrating geophysical data and machine learning approaches for geological modelling and site characterization. The position is expected to perform independent and collaborative research on interdisciplinary studies involves geophysics and geotechnical engineering knowledge.

Key Responsibilities:

  • Conducting research on advanced laboratory soil testing and other related research work

  • Producing project progress reports and peer-reviewed journal papers

  • Assisting in the development of research proposals that could be funded externally

  • Collaborating with other team members on other research tasks in the Centre.

Job Requirements:

  • Master in geotechnical engineering or related discipline

  • At least 2 years of relevant experience in geophysical data analysis

  • Familiarity with geological modelling software (e.g. Leapfrog and GOCAD) and machine learning skills

  • Good written and oral communication skills

  • Proficiency in at least one programming language (e.g. Python)

  • Competent in applying artificial intelligent skills into geophysical and geotechnical data analysis

  • Ability to work independently and develop solutions under strict timelines

  • Ability to work collaboratively in a fast-paced environment.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU

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