New PhD Positions at ASU's Digital Manufacturing and Design Group
Generative Deep Learning and Graph Models for Supply Chain
- Enrollment in Fall 2024
- Involves cutting-edge research encompassing generative deep learning, large language models, and graph models.
- Offers a prestigious NSF-funded project role with potential for a government internship.
- Focuses on real-world applications in supply chain challenges within fields like additive manufacturing, semiconductor manufacturing, and biomanufacturing.
- Provides a collaborative and innovative research environment.
Physical Machine Learning for Digital Manufacturing and Design
- Enrollment in either Fall 2024 or Spring 2025
- Focuses on cutting-edge research exploring machine learning techniques to unveil insights into manufacturing physics and their impact on digital manufacturing and design processes.
- Involves the integration of machine learning, engineering and physics knowledge, mathematics, and computational modeling.
- Application fields include metal and electronics additive manufacturing and laser processing.
- Offers a significant role in a respected and funded project.
- Presents an opportunity to join a team that values collaboration and innovation.
We're Looking For:
- Candidates with strong backgrounds in machine learning, data analytics, graph modeling, and mathematics for Project 1, and machine learning, engineering, manufacturing and design, mathematics, and computational models for Project 2.
- Problem-solvers passionate about tackling complex issues in supply chains for Project 1, and advanced manufacturing and design for Project 2.
- Innovative thinkers who are eager to push the boundaries of the field.
For more information and to apply, please contact me at hyunwoongko@asu.edu".
