Postdoc: GenAI-Driven Materials Lifecycle Scientist

Sandia Corporation; Kansas; On-site; USD 65,000 - 95,000; Full time

Benefits offered by this job

Flexible work arrangements

Relocation assistance

Generous vacation

401k plan

Learning opportunities

Job summary

Sandia National Laboratories invites applications for a postdoctoral appointee in the Materials Lifecycle Management Department. The role focuses on material informatics, data and predictive science to advance material discovery and engineering, with opportunities to collaborate across national labs, universities, and industry.

The position requires a PhD and a track record in predictive modeling with interpretable ML techniques, and the candidate must be able to work onsite.

Qualifications

• PhD in a relevant field with predictive modeling focus.
• Experience with interpretable machine learning techniques.
• Strong publication record and ability to obtain DOE Q-Clearance.

Responsibilities

• Conduct material informatics and data-driven research.
• Integrate ML outputs with physics-based models; collaborate across teams.
• Mentor technologists and interns; publish in peer-reviewed journals.

Skills

Interpretable ML

Technical publishing

DOE Q-Clearance eligibility

Education

PhD in Material Science, Engineering, or related field

Tools

Python

Database management

Job description

Sandia National Laboratories invites applications for a postdoctoral appointee in the Materials Lifecycle Management Department. The role focuses on material informatics, data and predictive science to advance material discovery and engineering, with opportunities to collaborate across national labs, universities, and industry.

The position requires a PhD and a track record in predictive modeling with interpretable ML techniques, and the candidate must be able to work onsite.