Atmospheric Transport AI Research Fellow (Spatiotemporal DL)

National University of Singapore; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

The National University of Singapore is seeking a Research Fellow in AI for atmospheric transport, based at Kent Ridge Campus. The role involves developing deep-learning frameworks and foundation models to study transport phenomena across a wide range of spatial and temporal scales.

The candidate will work with Python and PyTorch, handle multimodal data, and contribute to high-profile research publications in top AI conferences/journals as part of the Mechanical Engineering unit within the

Qualifications

• PhD in CS/AI/vision or related field.
• Significant research in deep learning for spatiotemporal predictive learning, generative models.
• Experience processing and fusing multimodal data.

Responsibilities

• Develop deep-learning frameworks and foundation models for transport phenomena across spatial and temporal scales.

Skills

Deep learning on spatiotemporal data

Python

PyTorch

Publications in AI conferences

Education

Ph.D. in computer science / AI / computer vision or related field

Tools

Multi-GPU training

High-performance computing platforms

Job description

The National University of Singapore is seeking a Research Fellow in AI for atmospheric transport, based at Kent Ridge Campus. The role involves developing deep-learning frameworks and foundation models to study transport phenomena across a wide range of spatial and temporal scales.

The candidate will work with Python and PyTorch, handle multimodal data, and contribute to high-profile research publications in top AI conferences/journals as part of the Mechanical Engineering unit within the