Question 1

What qualifications are required for this Research Fellow position?

Accepted Answer

To qualify, candidates need a PhD in Computer Science , Urban Building Science , Environmental Science , Atmospheric Science , or related fields with strong computational focus. A track record of peer-reviewed publications in machine learning or remote sensing is essential. Explore similar research jobs for preparation tips.

Question 2

What key technical skills are needed for Urban Microclimate Modeling?

Accepted Answer

Required skills include proficiency in Python with PyTorch or TensorFlow , Graph Neural Networks (GNN) via PyTorch Geometric/DGL, and geospatial tools like GDAL , rasterio , geopandas . Experience with LSTM , SHAP , and satellite LST data (Landsat, MODIS) is crucial. Check our postdoc success guide .

Question 3

What are the main responsibilities in this role?

Accepted Answer

Key duties involve developing hybrid physics-AI models for urban microclimate , conducting field validations in HDB precincts and NUS campus, implementing feature attribution (SHAP), publishing in journals, and deploying tools as Python modules for HDB/NEA partners. See research assistant jobs for related roles.

Question 4

How can I apply for this NUS Research Fellow position?

Accepted Answer

Applications are open from 28/04/2026 until 29/06/2026. Click 'Apply now' on the posting. Prepare your CV highlighting GNN projects and publications. Tailor your application using our academic CV guide for success.

Question 5

What research areas will this role focus on at Kent Ridge Campus?

Accepted Answer

Focus areas include Graph Neural Networks for spatiotemporal urban data, Land Surface Temperature (LST) mapping, urban morphology (Sky View Factor), and integration with sensor/drone data. Collaborate with HDB, NEA, and partners. View faculty research positions for context.

Question 6

Is experience with life-cycle carbon assessment required?

Accepted Answer

Yes, demonstrated experience with life-cycle carbon assessment methods and tools is essential for this urban microclimate role. It supports modeling environmental impacts in urban settings. Learn more via research jobs resources.

Research Fellow (Urban Microclimate Modeling and Graph Neural Networks)

National University of Singapore (NUS)

Kent Ridge Campus

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