AI Scientist: Ceramic Materials Discovery & Self-Driving Lab

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 120,000 - 210,000; Full time

Job summary

A*STAR RESEARCH ENTITIES in Singapore is seeking an AI Scientist for AI for Ceramic Materials within the MARVEL / CERAMIT programme. You will design AI/ML models guiding experiments and learning from data, bridging AI with real-world materials testing.

You will collaborate with materials scientists, curate datasets, and help advance high-throughput experimentation and SDL workflows. PhD required with strong Python/ML capability.

Qualifications

• PhD in Materials Science & Engineering, Ceramic Engineering, Chemical Engineering, Computer Science, Data Science, Physics or related disciplines.
• Strong experience in AI/ML or ceramic/materials science, bridging both fields.
• Proficiency in Python and ML libraries such as PyTorch, TensorFlow or Scikit-learn.

Responsibilities

• Develop and apply AI/ML models for ceramic materials discovery and process optimisation.
• Build data-driven relationships between composition, processing, microstructure and properties.
• Create and curate high-quality ceramic materials datasets from diverse sources.
• Apply ML techniques including active learning, Bayesian optimisation and AI agents.
• Collaborate with scientists to translate challenges into AI-driven solutions.
• Design experiments to validate AI predictions and improve models.
• Integrate AI models with Self-Driving Laboratory workflows.
• Develop closed-loop workflows: AI Prediction → Experiment → Data → Model Update.

Skills

AI/ML experience

Python

Education

PhD in Materials Science & Engineering or related

Tools

PyTorch

TensorFlow

Scikit-learn

Job description

A*STAR RESEARCH ENTITIES in Singapore is seeking an AI Scientist for AI for Ceramic Materials within the MARVEL / CERAMIT programme. You will design AI/ML models guiding experiments and learning from data, bridging AI with real-world materials testing.

You will collaborate with materials scientists, curate datasets, and help advance high-throughput experimentation and SDL workflows. PhD required with strong Python/ML capability.