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RFCSR

Postdoctoral Researcher – Machine Learning & High-Performance Computing (HPC)

RFCSR, Berkeley, California, United States, 94709

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Postdoctoral Researcher – Machine Learning & High-Performance Computing (HPC)

Position Overview

Lawrence Berkeley National Laboratory (LBNL) invites applications for a

Postdoctoral Researcher

position focused on

Machine Learning and High-Performance Computing (HPC)

. The selected candidate will apply cutting-edge ML methods and scalable computing techniques to analyze and model large-scale scientific data. The position offers a unique opportunity to collaborate with domain scientists across multiple disciplines, including physics, materials science, and energy systems. Duration / Type of Position

Temporary postdoctoral appointment (typically 2 years) Start Date

As soon as possible / open until filled Required Qualifications PhD in Computer Science, Applied Mathematics, Computational Science, or a related field. Experience with high-performance computing, machine learning, and parallel programming. Background in scientific computing related to physical sciences or engineering. Proven publication record and collaboration experience in multidisciplinary environments Application Materials Cover letter or statement of research interests Names and contact information for 2–3 referees Application Deadline

Open until filled (applications reviewed on a rolling basis) Salary and Benefits

Commensurate with LBNL postdoctoral salary guidelines and benefits package.

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