Postdoc: Machine Learning for Advanced Materials

Lawrence Berkeley National Laboratory; Berkeley, Northern (CA, KY); Hybrid; USD 99,000 - 111,000; Full time

Job summary

Lawrence Berkeley National Laboratory's Molecular Foundry invites applications for a Postdoctoral Researcher in Machine Learning for Materials Science. You will develop data infrastructure to capture and curate experimental and simulation data and build machine learning models to predict material behavior for memristor applications.

The position offers a collaborative, inclusive research environment, with cross-institution collaboration with Argonne and Oak Ridge, and opportunities to present

Qualifications

• PhD 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 for data analysis.
• Knowledge of Machine Learning methods for materials science applications.
• Strong organizational skills including the ability to prioritize work, meet deadlines, and contribute to the planning of a scientific research program.
• Excellent oral and written communication skills including the ability to organize technical/scientific information, publish in top journals, and present at conferences.
• Strong teamwork and interpersonal skills including the ability to collaborate with a diverse interdisciplinary research team.

Responsibilities

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

Skills

Python programming

Machine Learning

Data analysis

Scientific writing

Education

PhD in Physics, Chemistry, Materials Science, Computer Science or related field

Job description

Lawrence Berkeley National Laboratory's Molecular Foundry invites applications for a Postdoctoral Researcher in Machine Learning for Materials Science. You will develop data infrastructure to capture and curate experimental and simulation data and build machine learning models to predict material behavior for memristor applications.

The position offers a collaborative, inclusive research environment, with cross-institution collaboration with Argonne and Oak Ridge, and opportunities to present