Research Fellow (AI for atmospheric transport)
National University Of Singapore- Posted 12 days ago
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Job Description
Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.
NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28AI-for-atmospheric-transport%29/34826-en_GB/
We regret that only shortlisted candidates will be notified.
Job Description
The candidate will develop deep-learning frameworks and foundation models for transport phenomena across a wide range of spatial and temporal scales.
Qualifications
1. A Ph.D. degree in computer science, artificial intelligence, computer vision, or a closely related field.
2. Substantial research experience in deep learning on spatiotemporal predictive learning, particularly in generative model.
3. Experience in processing and fusing multimodal data.
4. Strong programming skills in Python and PyTorch, with experience in large-scale multi-GPU training on high-performance computing platforms.
5. A strong publication record, including first-author publications in top-tier AI conferences or leading peer-reviewed journals.
More Info
Key Skills
large-scale multi-GPU training
generative model
spatiotemporal predictive learning
high-performance computing
processing and fusing multimodal data
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