Postdoc: Hydrogen-Storage Metal Alloys Research (Onsite)

Sandia Corporation; Livermore (CA); On-site; USD 70,000 - 100,000; Full time

Job summary

Sandia National Laboratories in Livermore, California, seeks a postdoctoral researcher to study hydrogen effects in compositionally complex metal alloys, focusing on storage and purification. The role aims to design hydrogen-rich materials through composition and microstructure control, guided by AI, data science, and automated synthesis workflows.

The project targets durable, high-performance hydrogen separation materials and membranes for industrial conditions, with opportunities to contribute

Qualifications

• PhD in chemistry, metallurgy, materials science, or a related field.
• Experience with alloy synthesis, glove-box techniques, and materials characterization.
• Strong publication record and ability to work in a collaborative team.

Responsibilities

• Perform high-throughput synthesis of metal alloys using additive manufacturing and arc-melting platforms.
• Characterize alloy structure using in situ diffraction and spectroscopy methods, such as X-ray, neutron diffraction, and PDF analysis.
• Perform PCT, hydrogen permeability, and long-term cycle life measurements of metal alloy performance.
• Collaborate with computational modeling, systems engineering, AI/data science, and advanced characterization experts.
• Present results at relevant technical conferences.
• Plot results and draft manuscripts for prominent chemistry/materials journals.

Skills

Materials synthesis

Glove-box techniques

Interdisciplinary collaboration

Excellent communication

Education

PhD in chemistry, metallurgy, materials science, or related field

Tools

X-ray diffraction

Neutron diffraction

Electron microscopy

Spectroscopy tools

Job description

Sandia National Laboratories in Livermore, California, seeks a postdoctoral researcher to study hydrogen effects in compositionally complex metal alloys, focusing on storage and purification. The role aims to design hydrogen-rich materials through composition and microstructure control, guided by AI, data science, and automated synthesis workflows.

The project targets durable, high-performance hydrogen separation materials and membranes for industrial conditions, with opportunities to contribute