PostDoc – Machine Learning
Brookhaven National Laboratory
About this role
A post-doctoral research associate position in the Artificial Intelligence Learning department at Brookhaven National Laboratory focused on advancing machine learning research for scientific and DOE-relevant problems. The role supports interdisciplinary, collaborative research leveraging BNL and DOE computing resources and unique data sources. This is a two-year term appointment based onsite at BNL in Upton, NY.
Skills
Qualifications
About Brookhaven National Laboratory
bnl.govWe advance fundamental research in nuclear and particle physics to gain a deeper understanding of matter, energy, space, and time; apply photon sciences and nanomaterials research to energy challenges of critical importance to the nation; and perform cross-disciplinary research on computation, sustainable energy, national security, and Earth’s ecosystems.
Recent company news
NVIDIA & Brookhaven National Laboratory Unveil NVQLink Supporting 17 QPU Builders
Oct 29, 2025
AI workflow could help biofuel crops grow on infertile soil and protect plants from infectious diseases
Sep 8, 2025
NVIDIA Introduces NVQLink — Connecting Quantum and GPU Computing for 17 Quantum Builders and Nine Scientific Labs
Oct 28, 2025
Leadership change at Brookhaven lab as Hewett resigns
Sep 23, 2025
Relativistic Heavy Ion Collider (RHIC) enters 25th and final run
Mar 24, 2025
About Brookhaven National Laboratory
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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Salary
$72k – $119k
per year
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