Fully Funded PhD and Master’s Degree in Computer Science, Santa Clara University, United States

Take Up This One Big Opportunity And Apply For The Fully Funded PhD and Master’s Degree in Computer Science, at Santa Clara University, United States.

This Fully Funded PhD and Master’s Degree in Computer Science is open to all international applicants who are interested in obtaining new heights in computer science.

Fully Funded Scholarships in the United States remain the best one can ever get globally, hence Computer Science students are encouraged to apply for the scholarship.

More about this Fully Funded PhD and Master’s Degree in Computer Science

Our GIFTED Lab is looking for a motivated Ph.D. student to join the lab to work on a newly received NSF-funded project, “Collaborative Research: Data-Driven Inverse Design of Additively Manufacturable Aperiodic Architected Cellular Materials.”

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.

READ: University of Edinburgh Business School Doctoral Scholarship: Apply here

How to Apply

Expected Start Time: Position Available Immediately

Candidates will need to send a CV along with three references and a Statement of Purpose to Dr. Wang ([email protected]).

Get this Fully Funded Scholarship in the United States, and grab this Ph.D. and Master’s Degree in Computer Science, at Santa Clara University, United States now.