Prof. Huang’s group at USC (huanglab.usc.edu) is seeking highly motivated and talented individuals who are passionate about pursuing Ph.D. research in domain-informed machine learning for complex engineering systems such as future manufacturing and 3D printing. The topics in domain-informed machine learning include engineering-informed dimension reduction and transfer learning.

We offer a competitive stipend and benefits package, as well as funding for conference travel and research expenses. Our program also provides opportunities for professional development, mentorship, and collaboration with leading researchers in your field.

1. Strong academic record.

2. Research experience or evidence of potential for research.

3. Strong analytical and critical thinking skills.

4. Excellent written and oral communication skills.

5. Ability to work independently and as part of a team.

To apply, please submit the following materials to qiang.huang@usc.edu:

• Curriculum vitae or resume (including references)

• Transcripts from all universities attended