Full Time Research Engineer (FLASH) Jobs, in National University Of Singapore Central Region (Singapore) - Maukerja

Job Description

We are recruiting full-time Research Fellows to develop hybrid physics-AI methods for weather applications

Available data include:

• Numerical weather prediction (NWP) model outputs

• Weather satellite imagery

• Radar observations

• Lightning detection networks

• Surface sensor observations (e.g., rainfall and wind)

The successful candidates will:

• Develop and benchmark multimodal AI / foundation-model approaches for spatiotemporal forecasting.

• Build reproducible AI training and evaluation pipelines, as well as uncertainty quantification strategies.

• Work at the intersection of physics and AI, with an emphasis on geospatial computational modelling.

• Collaborate with domain experts and (where relevant) operational stakeholders.

• Drive scientific breakthroughs and contribute to publications and cross-institutional collaborations.

Qualifications

Required / strongly preferred

• PhD in Computer Science, Data Science, Engineering, Physics, or related.

• Strong Python and PyTorch; experience with multi-GPU/distributed training and performance optimization.

• Experience with real-world geospatial/sensor data (quality control, cleaning, visualization).

• Strong communication and collaboration skills.

Highly desirable

• Deep learning expertise: generative models, physics-aware learning, uncertainty modelling.

• Dense spatiotemporal prediction (e.g., video prediction, precipitation nowcasting).

• Atmospheric science / tropical meteorology background (a plus, not required).