Air Quality Modeling Research Associate

ntu; Singapore; On-site; SGD 56,000 - 89,000; Full time

Job summary

NTU's EOS invites applications for a position focusing on developing and applying high‑resolution air pollutant models. You will collect diverse data, develop and implement spatial modeling approaches, and analyze results to inform health and policy research.

The role emphasizes data collection, model development, documentation, and collaboration within a climate and air quality research team at NTU. Candidates hold a relevant Master’s degree and have ML or land-use regression experience.

Qualifications

• Masters degree in atmospheric science/geography/meteorology/environment.
• Experience developing spatial models, especially land-use regression or machine learning.
• Commitment to equality of opportunity and merit-based recruitment.

Responsibilities

• Develop and apply modeling techniques to simulate spatial distribution of air pollutants in a city at high resolution.
• Collect and process data for model development and application.
• Document model development and results in reports and peer‑reviewed journals.
• Perform data analyses and execute supervisor-assigned tasks.

Skills

Spatial modeling

Land-use regression

Machine learning

Atmospheric science

Education

Masters in atmospheric science / geography / meteorology / environment

Job description

NTU's EOS invites applications for a position focusing on developing and applying high‑resolution air pollutant models. You will collect diverse data, develop and implement spatial modeling approaches, and analyze results to inform health and policy research.

The role emphasizes data collection, model development, documentation, and collaboration within a climate and air quality research team at NTU. Candidates hold a relevant Master’s degree and have ML or land-use regression experience.