Postdoc: Digital Twin Modeling of Heat-Resistant Alloys

Oak Ridge Associated Universities; Albany (OR); Remote; USD 86,000 - 103,000; Full time

Job summary

Oak Ridge Associated Universities via ORISE invites applicants for a Post‑Doctoral Research Fellowship at NETL Albany, Oregon. The project focuses on predictive modeling of long‑term creep and fatigue in heat‑resistant alloys under industrial conditions, mentored by Michael Gao.

The role develops multi‑scale computational skills, applies physics‑informed and data‑driven approaches, and offers collaboration with national labs and industry; stipend monthly and application deadline 12/31/2026.

Qualifications

• Ph.D. in Materials Science, Physics, or related field.
• Research experience in dislocation modeling, simulations, or density functional theory calculations
• Experience with artificial intelligence, machine learning, and/or ML interatomic potentials
• Previous peer‑reviewed publications
• Programming skills
• Ability to conduct independent research in a multi‑disciplinary team

Responsibilities

• Engage in projects with NETL's RIC under mentorship.
• Develop predictive capabilities for long‑term creep and fatigue performance of heat‑resistant alloys.
• Work with digital twin technologies, physics‑informed and data‑driven ML approaches, and computational modeling.
• Collaborate with researchers from national laboratories and industry.
• Contribute to manuscripts or publications as part of the appointment.

Skills

Dislocation modeling

Density functional theory

Machine learning

Publications

Programming

Independent research

Education

Doctoral degree (PhD) within last 5 years or in progress

Job description

Oak Ridge Associated Universities via ORISE invites applicants for a Post‑Doctoral Research Fellowship at NETL Albany, Oregon. The project focuses on predictive modeling of long‑term creep and fatigue in heat‑resistant alloys under industrial conditions, mentored by Michael Gao.

The role develops multi‑scale computational skills, applies physics‑informed and data‑driven approaches, and offers collaboration with national labs and industry; stipend monthly and application deadline 12/31/2026.