Postdoctoral Fellow in Metallurgy, Materials for Fusion Energy, Additive Manufacturing, and AI in Manufacturing The University of Texas Rio Grande Valley in United States

UTRGV Institute for Advanced Manufacturing is hiring a Postdoctoral Fellow to support research projects in metallurgy, materials for fusion energy, additive manufacturing, AI in manufacturing, and autonomous experimentation.

The position is based at The University of Texas Rio Grande Valley (Edinburg, Texas) and is part of the Institute for Advanced Manufacturing (IAM). The research environment spans federally funded projects and interdisciplinary work in defense materials and manufacturing, energy manufacturing, and cyber systems. The role is designed for a trainee researcher who will contribute to research, student training, publication, and technology development under faculty supervision.

Research areas and methods: empirical and computational research, research instrument development, testing new processes, data analysis, background research, progress reporting, training activities, and peer-reviewed publishing. Equipment and tools mentioned include LPBF, Laser DED, WAAM, Cold Spray System, SME, XRD, and other testing equipment.

Eligibility highlights: a doctoral degree from an accredited university is required. Applicants should have research experience in metallurgy and metal additive manufacturing; publication experience in metallurgy, materials, AI, and advanced manufacturing is preferred. The post also notes that, due to funding restrictions, the doctorate may need to have been conferred within a set period before the start date.

Funding: this is a grant-funded full-time postdoctoral position with salary commensurate with experience. The posting indicates a grant expiration date of 2027-12-31.

How to apply: apply via the UTRGV careers portal using the job posting link. A complete application is required, and incomplete applications will not be considered. The employer asks applicants to remove confidential information such as date of birth, gender, and ethnicity/race from uploaded documents.