Research Fellow (Physics-Informed Machine Learning)

Nanyang Technological University Singapore(2 months ago)

HybridFull TimeSenior$64,365 - $88,827 (estimated)Engineering

About this role

The School of Mechanical and Aerospace Engineering (MAE) is seeking a Research Fellow to support research in Physics-Informed Machine Learning (PIML) for metal additive manufacturing processes. This role involves developing machine learning frameworks that integrate physical principles with data-driven modeling to enhance thermal and mechanical simulations for metal additive manufacturing.

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Required Skills

Machine Learning
Thermal Simulation
Numerical Simulation
Data Analysis
Research Methodologies

Qualifications

PhD in Mechanical Engineering
PhD in Machine Learning
PhD in Computational Mechanics
PhD in Material Science
PhD in Industrial Engineering

About Nanyang Technological University Singapore

ntu.edu.sg

Nanyang Technological University is one of the top universities in Singapore offering undergraduate and postgraduate education in engineering, business, science, humanities, arts, social sciences, education and medicine.

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