Postdoc: AI-Driven Materials for Cathodes & Actinides

Los Alamos National Laboratory; Los Alamos (NM); On-site; USD 80,000 - 110,000; Full time

Job summary

Los Alamos National Laboratory in Los Alamos, NM seeks a Postdoctoral Research Associate to conduct research at the intersection of materials science, chemistry, and AI/machine learning. Focus areas include materials for particle source generation, computational screening, and design of low-work-function cathode materials for negative ion sources and electron sources.

The successful candidate will join Gaoxue Wang, Enrique R.

Qualifications

• PhD in physics, chemistry, materials science, or related field completed within the last five years or soon to be completed.
• Evidence of strong interpersonal skills and the ability to collaborate effectively.
• Demonstrated research with peer‑reviewed publications and excellent written communication.

Responsibilities

• Conduct outstanding research at the intersection of materials science, chemistry, and AI/machine learning.
• Study materials for particle source generation, including low-work-function cathode materials.
• Investigate actinide-containing materials' chemistry and catalytic behavior.

Skills

Interpersonal skills

Communication skills

Writing skills

Collaboration

Education

PhD in physics/chemistry/materials science or related field

Tools

Programming

Machine learning

Job description

Los Alamos National Laboratory in Los Alamos, NM seeks a Postdoctoral Research Associate to conduct research at the intersection of materials science, chemistry, and AI/machine learning. Focus areas include materials for particle source generation, computational screening, and design of low-work-function cathode materials for negative ion sources and electron sources.

The successful candidate will join Gaoxue Wang, Enrique R.