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Lawrence Berkeley National Laboratory

Postdoc in autonomous AI-driven materials and catalyst discovery at Lawrence Berkeley National Laboratory Lawrence Berkeley National Laboratory in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral appointment for 2 years, renewable; anticipated start date 2026-11-01. No stipend amount stated.

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Country

United States

University

Lawrence Berkeley National Laboratory

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Keywords

Computer Science
Chemistry
Chemical Engineering
Materials Science
Artificial Intelligence
Computational Chemistry
High-throughput Screening
Density Functional Theory
Physics
ML

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About this position

Lawrence Berkeley National Laboratory is advertising a postdoctoral position in the Energy Technologies & Systems Division in Berkeley, California, USA.

The role sits in the Jain (HackingMaterials) group and the Applied Energy Materials group, working on autonomous AI-driven materials discovery and catalyst discovery across two DOE/ARPA-E projects.

Research themes include building simulation agents to predict materials properties such as Li-ion conductivity, validating predictions against autonomous experiments in A-Lab, integrating tools into live discovery campaigns via AlabOS APIs, and serving as computational lead on CO2-to-fuels catalyst discovery using first-principles active-site descriptors, MLIP/DFT high-throughput screening, and curated catalysis databases.

The post also mentions releasing data, workflows, and benchmarks through Materials Project and Genesis AmSC, with expectations to publish and present findings.

Eligibility highlights: a PhD in Materials Science, Chemistry, Physics, Computer Science, or a related area; strong Python skills with a portfolio; experience with MLIPs, DFT workflows (including VASP and atomate2), HPC scaling, and broad solid-state materials knowledge. Experience with agentic frameworks is a plus.

Appointment details: full-time, 2-year postdoctoral appointment, renewable, with an anticipated start date of 1 November 2026. Applications are accepted until the posting is removed.

How to apply: submit a cover letter and CV/resume through the LBL application portal.

Funding details

Full-time postdoctoral appointment for 2 years, renewable; anticipated start date 2026-11-01. No stipend amount stated.

What's required

PhD in Materials Science, Chemistry, Physics, Computer Science, or a related field; strong Python skills with a portfolio required; experience with MLIPs and DFT workflows such as VASP and atomate2; HPC scaling experience; broad solid-state materials knowledge; experience with agentic frameworks is a plus.

How to apply

Prepare a cover letter and CV/resume and apply through the Lawrence Berkeley National Laboratory referral/application portal. Submit before the posting is removed.

More information can be found here

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