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Research Assistant

Research Assistant: “Building Climate Resilience at High Density Cities Using Multi Physical Modelling and Field Measurement”

We are looking for a full-time research assistant to work on research project “Building Climate Resilience at High Density Cities Using Multi Physical Modelling and Field Measurement”.

PROJECT

In the face of climate change and urbanisation, improving resilience of cities is an urgent priority and will increase in importance for decades to come. High-density urban living is an inevitable trend in adapting to rapid urbanisation and climate change. Yet, such high-density nature could pose negative impacts on urban living, such as poor air quality and thermal comfort. Long-term negative impacts increase both intensity and frequency of short-term disruptions.

The project aims to develop an integrated approach to predict the coupling effects of global climate change and urbanization and a robustness-based planning and design system to guide the development of resilient cities. The team will employ numerical simulation, physical modelling, geographic information system (GIS), and analytical modelling, applied to urban planning and design case studies. The design system and tools can be applied to different scales – at the city, district, and neighborhood scale.

JOB REQUIREMENTS

  1. Candidate must have a relevant master degree in Atmospheric Sciences, Urban Climate, or related fields;
  2. Urban-scale simulation of thermal environment, airflow movement and air pollutant transmission;
  3. Field measurement of weather parameters in high-density areas and data collection and analysis;
  4. Good publications;
  5. Strong team spirit and publish research findings;
  6. Good time management and planning;
  7. Assist with project management tasks;
  8. Excellent command of both spoken and written English;
  9. Highly motivated individual with capacity to work independently.

SKILLS & COMPETENCIES

  1. Knowledge in atmospheric sciences, greenery and computational fluid dynamics;
  2. Experience in using environmental simulation tools, such as ANSYS FLUENT, OpenFOAM, ENVI-met or other similar programs;
  3. Experience in carrying out field measurement of weather parameters, such as air temperature, wind velocity and turbulence, globe temperature and etc;
  4. Familiarity with academic writing and have experience in publishing research papers on top-tier journals;
  5. Some knowledge on programming is an advantage.

APPLICATION PROCEDURE

To apply for the position or for further information regarding the position, you may contact Dr. Yuan Chao at akiyuan@nus.edu.sg