A*Star Research Entities · MyCareersFuture · 1w
Research Scientist / Senior Research Scientist (AI for Actionable Predictive Intelligence), IAIC
Singapore- Posted
- 2026-09-30 (1w)
- Place
- Singapore
- Commitment
- Contract
- Salary
- SGD 5,900 – 11,800 / month
- Experience
- 3+ YOE
- Education
- PhD
- Department
- Sciences / Laboratory / R&D
- Source
- MyCareersFuture (the employer’s own listing)
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Skills in this posting
PythonMachine LearningDeep LearningArtificial IntelligenceGenerative AITensorFlowPyTorchMLOpsStatisticsElectrical EngineeringIntellectual Property
Job Summary
We are seeking a highly motivated Research Scientist to develop next-generation AI solutions for forecasting and predictive analytics for operational decision support. You will work on cutting-edge research involving multi-modal data such as weather observations, imagery, time-series sensor data, machine learning models and foundation models to deliver actionable intelligence for multiple real-world applications.
Key Responsibilities
• Develop and evaluate advanced machine learning and deep learning models for forecasting, predictive analytics, and decision support.
• Design AI solutions for large-scale spatio-temporal and time-series datasets from diverse data sources.
• Build and validate predictive models for operational intelligence, anomaly detection, and forecasting applications.
• Collaborate with researchers, engineers, domain experts, and industry stakeholders to translate research into deployable solutions.
• Contribute to scientific publications, intellectual property generation, and technology transfer.
Requirements
• PhD in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Statistics, Applied Mathematics, Electrical Engineering, or a related discipline.
• Strong background in machine learning, deep learning, time-series modelling, video prediction, representational learning, or predictive analytics.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience working with large-scale real-world datasets and developing robust AI solutions.
• Strong analytical, communication, and teamwork skills.
Preferred Qualifications
• Experience in spatio-temporal modelling, generative AI, foundation models, physics-informed learning, uncertainty quantification, or anomaly detection.
• Experience with weather forecasting or knowledge of tropical weather systems or atmospheric science.
• Experience with predictive maintenance, Prognostics and Health Management or other industrial AI applications.
• Experience in deploying AI applications, dashboards, APIs, or MLOps pipelines.
Why Join Us
• Work on high-impact AI research with real-world operational deployment opportunities.
• Collaborate with leading researchers, industry partners, and government agencies.
• Advance state-of-the-art AI technologies while delivering tangible societal and industry impact.
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