Senior AI Scientist: Materials Design & Discovery

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 90,000 - 180,000; Full time

Benefits offered by this job

Access to computing resources

Publish opportunities

Interdisciplinary collaboration

Partnership with academia and industry

Job summary

A*STAR RESEARCH ENTITIES in Singapore seeks motivated research scientists to join our AI for Science team advancing AI-driven methods for material design and scientific discovery. The role focuses on building foundation models and intelligent AI agents that accelerate the design of advanced materials by integrating multimodal data, physics knowledge, and machine learning.

Candidates will contribute to interdisciplinary research, collaborate with academic and industry partners, and have

Qualifications

• Applicants should have backgrounds in AI, ML, CS, data science, materials science, or related fields.
• Experience with deep learning frameworks and generative AI tools is preferred.
• Strong analytical, programming, and communication skills are expected.

Responsibilities

• Conduct cutting-edge research in AI for materials discovery and design.
• Develop novel AI algorithms for inverse design and property prediction.
• Collaborate with materials scientists to solve real-world challenges.
• Design, implement, and evaluate AI systems using modern DL frameworks.
• Publish findings in leading AI and interdisciplinary conferences and journals.

Skills

Artificial Intelligence

Machine Learning

Computer Science

Data Science

Computational Materials Science

Mechanical Engineering

Applied Mathematics

Related disciplines

Tools

Deep learning (PyTorch/TensorFlow)

Generative AI (Diffusion, VAEs, GANs, Transformers, LLMs)

Representation learning

Computer vision / multimodal learning

Linux & GPU computing

Job description

A*STAR RESEARCH ENTITIES in Singapore seeks motivated research scientists to join our AI for Science team advancing AI-driven methods for material design and scientific discovery. The role focuses on building foundation models and intelligent AI agents that accelerate the design of advanced materials by integrating multimodal data, physics knowledge, and machine learning.

Candidates will contribute to interdisciplinary research, collaborate with academic and industry partners, and have