Postdoctoral Fellow
UH Department of Mechanical and Aerospace Engineering · Houston, TX · 3 wk ago
On-siteAnalystFull-time
An opening is available in our research group at the University of Houston for a collaborative project on damage prediction in advanced composites.
About the role
The project will focus on developing machine learning–based approaches to predict structure–property relationships, including damage evolution, in recyclable composite materials. The successful candidate will work at the interface of computational mechanics, materials science, and machine learning to develop next-generation predictive models of composite behavior. The project is highly collaborative and involves interactions with researchers from academia, a leading applied research organization, and industry.
Requirements
- PhD in Mechanical Engineering or a closely related field
- Strong background in solid mechanics
- Experience in computational micromechanics of materials
- Experience with machine learning methods
Qualifications
- Extensive experience with modern machine learning tools and techniques
- Ability to work effectively under tight deadlines
- Strong written and oral communication skills, with the ability to present research in group meetings, project reviews, and conferences
Anticipated start date: September 1, 2026, or shortly thereafter.