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Research Engineer (Data-driven understanding of weather extremes)

Research Engineer (Data-driven understanding of weather extremes)

National University Of Singapore
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Job Description

Job Title: Research Engineer (Data-driven understanding of weather extremes)

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: Civil and Environmental Engineering

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 13/10/2026

Job Description

Applications are requested for Research Engineer positions on climate change, weather forecasts, and risk assessment of climate extremes using the latest AI techniques in the Department of Civil and Environmental Engineering (CEE) at the National University of Singapore (NUS).

The Selected Research Engineer Is Required To

  • Develop an AI-based weather forecast model.
  • Perform risk assessment on climate extremes and multi-sector dynamics.

Job Requirements

  • Possess at least a bachelor's degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
  • Master's degree is preferred.
  • Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
  • Ability to construct and write papers for leading research journals and conferences.
  • Good written and spoken communication
  • Open to fixed-term contract

Req ID: 34658

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Key Skills

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Singapore
Skills:
Shell, Machine Learning, Python, R, AI techniques, Optimization, seasonal forecasting