Not specified (assumed to be onsite based on the nature of research roles)
Phd in materials science or related field
Machine learning and ai model development
First-principles and molecular dynamics simulations
The National University of Singapore is seeking a Research Fellow for its Materialyze.AI lab, focusing on the integration of AI and materials science to innovate in materials design. The ideal candidate will have expertise in materials theory, experimentation, and machine learning, contributing to both theoretical and practical advancements in the field
Job Summary
The role aims to pioneer the integration of theory, experiments, and AI to accelerate the discovery of breakthrough materials.
Candidates will develop machine learning models and perform simulations to predict and design materials for batteries, aerospace alloys, and semiconductors.
The position requires a strong publication record and proven ability to work in interdisciplinary teams spanning theory, experiments, and AI.
Matching Summary
Match Score: 85
The National University of Singapore is seeking a Research Fellow for its Materialyze.AI lab, focusing on the integration of AI and materials science to innovate in materials design. The ideal candidate will have expertise in materials theory, experimentation, and machine learning, contributing to both theoretical and practical advancements in the field.
Skills & Requirements
Must-have
PhD in Materials Science or related field
Machine learning and AI model development
First-principles and molecular dynamics simulations
Materials synthesis and characterization techniques
Interdisciplinary team collaboration experience
Nice-to-have
Experience with autonomous laboratory systems
Open-source software contribution background
High-throughput experimental workflow development
Generative design and reinforcement learning expertise
Key Requirements
PhD in Materials Science, Physics, Chemistry, or Engineering
Hands-on experience with synthesis and characterization equipment