Four 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)
• Machine learning tools (e.g., PyTorch, Tensorflow)
• Physics-informed neural network (desired but not mandatory)
• Programing (e.g., Python)

Position 2: Digital Twins for Manufacturing Processes

• Manufacturing processes (machining or additive manufacturing)
• Process modeling (e.g., CFD, FEM, or machine learning)
• Process monitoring and control
• Process dynamics (e.g., vibration)
• Programing (e.g., Python)

Position 3: AI-Driven Materials Discovery through Additive Manufacturing

• Additive manufacturing
• Solidification and microstructure modeling (e.g., Phase Field, DFT/CALPHAD, etc.)
• Machine learning
• Database and programing (e.g., Python)

Position 4: Process Monitoring and Analytics for Metal Additive Manufacturing

• Additive manufacturing processes
• Process monitoring techniques (IR, AE, Pyrometry, etc.)
• Data analytics including AI/ML
• Programing (e.g., Python)

Please apply through the MAE Department Gradate Application Portal

Apply Now | Graduate and Professional Admissions

Also email a copy of resume and transcript(s) to yuebin.guo@rutgers.edu