Two Opening PhD Student Positions
Position 1: Physics-Informed Machine Learning for Manufacturing Dynamics
- Manufacturing processes (machining or additive manufacturing)
- Physics-based process modeling (e.g., FEA, CFD, PF, etc.)
- AI/ML tools (e.g., PyTorch, Tensorflow)
- Physics-informed neural network (desired but not mandatory)
- Programing (e.g., Python)
Position 2: Digital Twins for Manufacturing Processes
- IOT sensors for manufacturing processes
- Virtual modeling (e.g., AI/ML, ROM, multiphysics simulations)
- Real-time data streaming and interface (Apache/Kafka, Redis/Kafka Streams, etc.)
- Model-based process control
- Programing (e.g., Python)
Also email a copy of resume and transcript(s) to yuebin.guo@rutgers.edu