Postdoc: ML for Materials Science & Memristors

Lawrence Berkeley National Laboratory; Berkeley (CA); On-site; USD 99,000 - 111,000; Full time

Job summary

Lawrence Berkeley National Laboratory is seeking a Postdoctoral Researcher - Machine Learning for Materials Science in the Molecular Foundry division. Join a DOE-funded collaboration to develop data infrastructure and machine learning models for memristor materials, integrating experimental and simulation data.

You will work with researchers from Argonne and Oak Ridge, contribute to Crucible data platform development, and publish findings in peer-reviewed journals while presenting at

Qualifications

• Ph.D. in Physics, Chemistry, Materials Science, Computer Science or a closely related field.
• Demonstrated knowledge of Python or another major programming language for data analysis and familiarity with machine learning approaches.
• Knowledge of machine learning methods for materials science applications.
• Strong organizational skills including prioritization and planning of research activities.
• Excellent oral and written communication skills including publishing in top journals and presenting at conferences.
• Strong teamwork and interpersonal skills with diverse interdisciplinary collaboration.

Responsibilities

• Collaborate with scientists to develop workflows for capturing data and metadata for experiments and simulations and store them in the Crucible data platform.
• Define metadata, data-quality requirements, and analysis-ready data structures with experimental and computational researchers.
• Develop machine learning models that integrate multimodal experimental and simulation data for materials science.
• Contribute to the development of the Crucible Data Platform using software best practices.
• Present research results at national conferences and author publications.

Skills

Python

Machine Learning

Data analysis

Organizational skills

Teamwork

Education

Ph.D. in Physics or related field

Tools

Crucible Data Platform

Job description

Lawrence Berkeley National Laboratory is seeking a Postdoctoral Researcher - Machine Learning for Materials Science in the Molecular Foundry division. Join a DOE-funded collaboration to develop data infrastructure and machine learning models for memristor materials, integrating experimental and simulation data.

You will work with researchers from Argonne and Oak Ridge, contribute to Crucible data platform development, and publish findings in peer-reviewed journals while presenting at