{"schemaVersion":"jobsearcher.job.v1","id":"3c947f99fc95be8995b818b7","url":"https://jobsearcher.com/jobs/3c947f99fc95be8995b818b7","canonicalUrl":"https://jobsearcher.com/jobs/3c947f99fc95be8995b818b7","title":"Postdoc: ML for Materials & Data Infrastructure","description":"Lawrence Berkeley National Laboratory is hiring a Postdoctoral Researcher - Machine Learning for Materials Science in the Molecular Foundry. The role focuses on developing data infrastructure and ML models for memristor materials, collaborating with Argonne and Oak Ridge on a DOE-funded project.\r\nYou will work in a multidisciplinary setting, publish results, and present at conferences. Appointment is full-time for 2 years with renewal possible and competitive salary.\r\nJ-18808-Ljbffr","company":"Berkeley Lab","rawCompany":"berkeley lab","city":"Berkeley","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-05T12:53:26.671Z","occupations":[{"code":"19-2032.00","title":"Materials Scientists","slug":"materials-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"17-2131.00","title":"Materials Engineers","slug":"materials-engineers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"611310","title":"Colleges, Universities, and Professional Schools","slug":"colleges-universities-and-professional-schools"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Postdoc: ML for Materials & Data Infrastructure","description":"Lawrence Berkeley National Laboratory is hiring a Postdoctoral Researcher - Machine Learning for Materials Science in the Molecular Foundry. The role focuses on developing data infrastructure and ML models for memristor materials, collaborating with Argonne and Oak Ridge on a DOE-funded project.\r\nYou will work in a multidisciplinary setting, publish results, and present at conferences. Appointment is full-time for 2 years with renewal possible and competitive salary.\r\nJ-18808-Ljbffr","datePosted":"2026-09-05T12:53:26.671Z","dateModified":"2026-09-05T12:53:26.671Z","hiringOrganization":{"@type":"Organization","name":"Berkeley Lab","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berkeley","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3c947f99fc95be8995b818b7"},"url":"https://jobsearcher.com/jobs/3c947f99fc95be8995b818b7"}}