Air Quality ML Research Engineer

National University of Singapore; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

National University of Singapore seeks a Research Engineer (Machine Learning) to advance ML research in air quality, atmospheric science, and environmental analytics. You will build predictive models from air quality and sensor data, preprocess data, validate models, and visualize results for publications and reports.

The role emphasizes independent work within multidisciplinary teams, turning complex environmental data into actionable insights and robust computational solutions.

Qualifications

• Bachelor's or Master's degree in statistics, data science, atmospheric science, environmental science/engineering, or related field.
• Proficient Python with Pandas, NumPy, SciPy, Scikit-Learn, Matplotlib.
• Good understanding of model evaluation, cross-validation, hyperparameter optimization, uncertainty analysis, interpretable ML.
• Experience with supervised/unsupervised ML methods, especially in atmospheric applications.
• Experience processing meteorological, air quality, or environmental sensor data is a bonus.

Responsibilities

• Develop and evaluate predictive models using air quality, meteorological, and sensor datasets.
• Data compilation and preprocessing, model validation and visualization.
• Contribute to publications, reports, and research projects.
• Communicate results clearly and document methods for reproducibility.
• Work independently while engaging with multidisciplinary teams.

Skills

Python programming

Pandas

NumPy

SciPy

Scikit-Learn

Matplotlib

Cross-validation

Uncertainty analysis

Interpretable ML

Education

Bachelor's or Master’s degree in statistics, data science, atmospheric science, environmental science/engineering, or related

Job description

National University of Singapore seeks a Research Engineer (Machine Learning) to advance ML research in air quality, atmospheric science, and environmental analytics. You will build predictive models from air quality and sensor data, preprocess data, validate models, and visualize results for publications and reports.

The role emphasizes independent work within multidisciplinary teams, turning complex environmental data into actionable insights and robust computational solutions.