AI-Driven Materials Fellow for Damage-Tolerant Alloys

Nanyang Technological University; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Nanyang Technological University (NTU) Singapore invites applications for a Research Fellow to develop physics-informed AI models for damage-tolerant structural alloys under extreme environments. The role merges AI, computational mechanics and experimental data to guide microstructure and additive manufacturing process optimisation.

Applicants should have a PhD in relevant field, strong hands-on experience in crystal plasticity finite element modelling or phase-field simulations, and proficiency

Qualifications

• PhD in Materials Science and Engineering, Mechanical Engineering, Computational Mechanics, or a closely related field.
• Strong knowledge of computational mechanics with hands-on experience in crystal plasticity FE modelling and/or phase-field simulations.
• Experience in developing AI or ML models for physics-based scientific or engineering applications.
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
• Good understanding of microstructure–property relationships and deformation mechanisms.
• Experience with simulation–experiment data integration, physics-informed learning or uncertainty quantification would be advantageous.
• Strong analytical and communication skills; ability to work independently and across disciplines.

Responsibilities

• Develop physics-informed AI and surrogate models for predicting deformation and fracture in structural alloys.
• Integrate AI with crystal plasticity finite element and phase-field simulations.
• Combine simulation and experimental data for model training, calibration and validation.
• Apply inverse design and optimisation to identify damage-tolerant microstructures and guide manufacturing processes.
• Collaborate with experimental researchers to interpret mechanisms and validate model predictions.
• Assess model accuracy, uncertainty and applicability across microstructures and environmental conditions.
• Publish research findings, contribute to project reports and mentor students.

Skills

Computational mechanics

Machine learning for physics

Scientific programming

Crystal plasticity

Education

PhD in Materials Science and Engineering

Tools

PyTorch

TensorFlow

Python

Phase-field simulations

Crystal plasticity FE

Job description

Nanyang Technological University (NTU) Singapore invites applications for a Research Fellow to develop physics-informed AI models for damage-tolerant structural alloys under extreme environments. The role merges AI, computational mechanics and experimental data to guide microstructure and additive manufacturing process optimisation.

Applicants should have a PhD in relevant field, strong hands-on experience in crystal plasticity finite element modelling or phase-field simulations, and proficiency