Expires on: 02/15/2024
Description
The GIFTED (Geometric Informatics For Technology, Engineering, and Design) lab at Santa Clara University, led by Assistant Professor Dr. Jun Wang, is offering funded Ph.D. and Master’s openings in Mechanical Engineering. The lab focuses on cutting-edge research in geometric modeling, machine learning, and advanced manufacturing, with a mission to advance Data-Driven Design, Physics-Driven Design, and Design for Additive Manufacturing. The successful candidates will contribute to groundbreaking research leveraging Artificial Intelligence, Big Data, and Cloud-Computing power to revolutionize design and manufacturing processes.
Qualification:
- Highly motivated Ph.D. and Master’s students with a research interest in Geometric Modeling/Simulation, Computer Graphics, and Data-Driven Design.
- Experience with IGA (Isogeometric Analysis)/FEA/CFD platforms (e.g., LS-DYNA, Abaqus, FENICS, OpenFOAM), geometric modeling/graphics platforms (CGAL, GIBBON), and machine learning platforms (e.g., TensorFlow, PyTorch) is highly valued.
- Ideal candidates are expected to have a BS or master’s degree (needed for the Ph.D. program) in Mechanical Engineering, Computer Science, Industrial Engineering, Mathematics, or closely related fields.
- Strong programming experience in Python/C++/Matlab and a solid mathematical background in statistics and probability are desirable.
- Fluent communication skills in English (verbal, presentation, and writing) are required for effective interaction with technical peers, scholars, and sponsors.
How to Apply
Interested candidates are required to send their CV to Dr. Wang at jwang22@scu.edu.