Research Engineer (Data-driven understanding of weather extremes)

National University of Singapore; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

National University of Singapore (NUS) invites applications for Research Engineer roles focused on data-driven understanding of weather extremes. This position, located at the Kent Ridge Campus, emphasizes developing AI-based weather forecast models and assessing climate risk across sectors.

Ideal candidates hold a bachelor’s degree in civil/environmental engineering or related fields, with a Master’s preferred, and strong programming experience in Python, R, or Shell.

Qualifications

• Bachelor's degree in a relevant engineering or data/aerospace field.
• Master's degree is preferred for advanced research roles.
• Proven ability to develop complex code in Python, R, or Shell.
• Ability to write papers for leading research journals and conferences.
• Strong written and spoken communication skills.
• Open to fixed-term contract.

Responsibilities

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

Education

Bachelor's degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs

Master's degree preferred

Tools

Python

R

Shell

Job description

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: Kent Ridge Campus Posted On: 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

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