Research Associate (AI-based Process Monitoring)
Core
Develop novel AI methods for process monitoring in laser-based metal additive manufacturing, focusing on thermal field modelling, multi-physics numerical simulations, and process parameter optimization.
Role type
Research Associate (AI-based Process Monitoring)
Builds
AI models for anomaly and defect detection in metal additive manufacturing
Domain
Advanced manufacturing / Laser-based metal additive manufacturing / Machine Learning
Deliverable
production ML models
Required skills
Laser-based metal additive manufacturing process expertise, Data-driven and AI/machine learning research, Thermal field modelling, Multi-physics numerical simulations, Process parameter optimization, Data-efficient AI methods, Process anomaly detection, Material defects detection, Real-time process monitoring, Programming (C++, Python, Matlab), Research methodologies, Data analysis, Statistical techniques
Preferred skills
Publication track record
Technologies
C++, Python, Matlab
Responsibilities
Collect thermal data from metal additive manufacturing process, Develop cost-efficient and data-efficient AI models, Perform process anomaly and material defects detection, Implement real-time process monitoring for layer-wise printing, Mentoring thesis-based undergraduate and master students, Assist in proposal writings
Seniority
Mid-level Research Associate