Lawrence Berkeley National Laboratory is hiring a Postdoctoral Researcher Machine Learning for Materials Science within the Molecular Foundry division. Molecular Foundry is a Department of Energy-funded nanoscience research user facility that provides access to cutting-edge expertise and instrumentation in a collaborative, multidisciplinary environment to scientists from around the world. The Postdoctoral Researcher will work at the Molecular Foundry in collaboration with researchers from Argonne National Lab and Oak Ridge National Lab on a collaborative Department of Energy funded project "AlphaFold for Microelectronics". The role will be to develop data infrastructure to capture and curate both experimental and simulation data and collaboratively build machine learning models to predict behavior of novel materials for memristor applications. This is an opportunity to contribute to a vibrant research community dedicated to doing excellent science in a supportive and inclusive environment.
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Application date: Priority consideration will be given to candidates who apply by September 3, 2026. Applications will be accepted until the job posting is removed. Appointment type: This is a full-time 2-year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree. Salary range: $99,192 - $110,808. Work modality: Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Postdoctoral Researcher Machine Learning for Materials Science • Berkeley, CA, United States
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