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National University of Singapore

Research Associate (Urban climate modelling)

Closes:

499

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: Architecture

Employee Category: Research Staff

Location: Kent Ridge Campus

Posting Start Date: 2026-09-01

Job Description

We are seeking a highly motivated and technically strong Research Associate to join our interdisciplinary project on urban heat island (UHI) mitigation through greenery-based solutions. This project is supported by NParks and aims to evaluate cooling effects of urban greenery and develop a modelling platform to assess and optimize the cooling benefits of various types and configurations of urban greenery in Singapore.

Key Responsibilities

  • Conduct multi-scale multi-physics numerical simulations, e.g. simulation of thermal environment, urban greenery, airflow movement at the city, district and neighbourhood scales;
  • Publish the research findings on top-tier academic journals and local/international conferences;
  • Organize, and assist technical workshops, networking events and conferences (local and overseas).

Qualifications

  • Candidate must have a relevant Master degree in Mechanical Engineering, Fluid Dynamics, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD);
  • At least 5 years of relevant work experience;
  • Well informed and knowledgeable in urban climate modelling;
  • Experienced in using environmental simulation tools, such as UrbanMicroclimateFoam, OpenFOAM, WRF/PALM4U or other similar programs;
  • Highly motivated individual with capacity to work independently.
  • Good time management and planning;

Req ID: 34286

Job details

Title
Research Associate (Urban climate modelling)
Employer
National University of Singapore
Location
Kent Ridge Campus
Published
Sep 9, 2026
Closes:
Nov 8, 2026
Job type
Full time, Staff / Administration
Field
Laboratory and Research

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Frequently Asked Questions

🎓What qualifications are required for the Research Associate (Urban climate modelling) role?

You need a Master's degree in Mechanical Engineering, Fluid Dynamics, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science, or a related field with a focus on Computational Fluid Dynamics (CFD). The role also requires at least 5 years of relevant work experience in urban climate modelling or environmental simulation. Independent working ability, strong planning, and time management are essential. Review how to write a winning academic CV before applying.

💻What simulation tools and technical skills should I have?

Practical experience with OpenFOAM, UrbanMicroclimateFoam, WRF, or PALM4U is expected. You should be comfortable running multi-scale multi-physics simulations of thermal environments, urban greenery, and airflow movement at city, district, and neighbourhood scales. Explore related research jobs or read about CFD modelling research.

🌿What is the research focus of this project?

The project, supported by NParks, investigates urban heat island (UHI) mitigation using greenery-based solutions. You will help evaluate the cooling effects of urban greenery and contribute to a modelling platform that optimises different types and configurations of urban greenery in Singapore. Read more on urban heat studies.

📅What is the application deadline and location?

Applications close on 2026-11-08. The position is based at the Kent Ridge Campus of the National University of Singapore (NUS). The posting start date is 2026-09-01. Browse other research assistant roles for similar opportunities.

📝How can I strengthen my application for this Research Associate role?

Highlight your CFD simulation experience, publications in top-tier academic journals, and familiarity with urban climate modelling. Involvement in technical workshops, networking events, and local or international conferences is valued. For career tips, see postdoctoral success tips and how to excel as a research assistant.

About the employer

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