- Islandwide (Singapore) Singapore

Lokasi Kerja
Penerangan Kerja
Tanggungjawab
CFAR, A*STAR is looking for an innovative researcher to join its AI for Transdisciplinary Science (AI4TranS) Group and contribute to the AI for environmental science programme. The candidate will focus on developing spatiotemporal, multimodal, and structure-aware AI methods for high-impact weather forecasting and hazard prediction, including lightning-related forecasting. Research topics may include spatiotemporal representation learning, multimodal data fusion, sequence and video prediction, graph-based learning, efficient attention, and uncertainty-aware forecasting using radar, satellite, numerical weather, lightning, and other geospatial data. The candidate will collaborate with research scientists, engineers, and domain partners to develop robust models and validate them on large-scale real-world datasets.
Successful candidates will be responsible, but not limited to:
ABOUT A*STAR AND CFAR
At A*STAR, we make it our mission to attract and develop a diversity of talent along the research, innovation, and enterprise value chain, with career paths developed for scientists, engineers, and entrepreneurs. In return, we commit to investing in the personal and professional growth of each of our officers.
CFAR has a team of exemplary AI researchers committed to solving some of the most exciting problems in frontier AI, including IEEE fellows, chairs, scholars, and advisors among some of the most highly cited researchers in the world. Our AI Centre provides a unique research environment for fundamental AI research and cultivates next-gen AI scientists. If you share our interests in solving challenging engineering problems, we welcome you to apply.
JOB REQUIREMENTS
Peringatan Penting
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