About the role
AI summarisedSenior research scientist role focused on developing AI-driven weather forecasting models for tropical convective hazards. The position involves creating machine learning solutions using multi-modal weather data to improve aviation and maritime safety in Singapore, with direct translation of research into operational systems.
ResearchOnsite
Key Responsibilities
- Conduct cutting-edge, data-driven research on tropical convective hazard prediction using multi-modal datasets from weather observation systems and Numerical Weather Prediction (NWP) models
- Develop, implement, and evaluate advanced machine learning and deep learning models for multi-source, multi-scale weather forecasting
- Translate research breakthroughs into operationally deployable solutions
- Work in a multi-disciplinary team comprising atmospheric scientists and operational stakeholders
- Deliver actionable hazard intelligence to support real-world applications, including safer and more efficient air and ground operations in tropical environments
Requirements
- Advanced degree (Ph.D. for Scientists; Master's/Bachelor's for Engineers) in Computer Science, Computer Engineering, Data Science, or a related discipline with rich AI experience
- Strong programming skills, with proficiency in Python and PyTorch, and experience in optimizing deep neural networks for large-scale, multi-GPU training
- Experience in data analysis, cleaning, and visualization, particularly for real-world sensor data (e.g., radar, satellite, lightning, and weather station data)
- Expertise in deep learning, especially in spatio-temporal modelling, generative AI, physics-informed learning, and uncertainty modelling
- Experience in dense video prediction tasks such as video prediction or precipitation nowcasting is highly desirable
- Knowledge of tropical weather systems or atmospheric science is a plus
- Demonstrated ability to conduct independent, high-quality research and translate ideas into deployable prototypes
- Strong communication and collaboration skills, with the ability to work effectively with domain experts and operational stakeholders
- A strong sense of ownership, research integrity, and the ability to deliver high-quality work under tight timelines
- A genuine passion for advancing AI technology and translating research outcomes into real-world operational impact