Quantum Algorithms Postdoctoral Fellows
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr/) has an opening in the Scalable Solvers Group for a Postdoc in the area of Applied Mathematics with an emphasis on Quantum Computing. In this exciting role, you will participate in research activities related to the development of mathematical tools for quantum subspace algorithms that are relevant to DOE and LBNL missions.
RequirementsWhat is Required:
• Ph.D. degree in Mathematics, Computer Science, Physics, or a relevant field.
• Strong background in numerical linear algebra and multi-linear (tensor) algebra.
• Knowledge of matrix decompositions, iterative methods, approximation theory, and optimization.
• Demonstrated experience to program proficiently in a high-level programming language, such as C++/C/FORTRAN.
• Excellent verbal and written communication skills.
Desired Qualifications:
• Knowledge of quantum computing and quantum information.
• Knowledge of performance optimization for scientific codes is a plus.
• Experience with MATLAB/Python/Qiskit and MPI/OpenMP/Cuda.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location