Research Fellow (Urban Microclimate Modeling and Graph Neural Networks)

About this position

Model Development: • Design and implement a hybrid physics-AI spatiotemporal modeling framework for translating satellite-derived Land Surface Temperature (LST) data into high-resolution ambient air temperature maps • Develop and train Graph Neural Network (GNN) and Long Short-Term Memory (LSTM) architectures to model complex spatial and temporal dependencies in urban microclimate data, incorporat

Research topics