Quantum Computing Postdoctoral Scholars
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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/applied-mathematics-dept/) and the National Energy Research Scientific Computing Center (NERSC, https://www.nersc.gov/) have a joint opening for a Quantum/Hybrid Algorithm Postdoctoral Scholar to join the team.
In this exciting role, you will participate in an interdisciplinary quantum computing project. The project involves quantum and hybrid quantum-classical algorithms on NISQ-era superconducting quantum computers. As a quantum algorithms researcher, you will work closely with researchers at NERSC and quantum computing experimentalists at the Advanced Quantum Testbed on co-design of algorithms and experimental systems.
In this exciting role, you will participate in an interdisciplinary quantum computing project. The project involves quantum and hybrid quantum-classical algorithms on NISQ-era superconducting quantum computers. As a quantum algorithms researcher, you will work closely with researchers at NERSC and quantum computing experimentalists at the Advanced Quantum Testbed on co-design of algorithms and experimental systems.
RequirementsWhat is Required:
• Ph.D. in Chemistry, Physics, Computer Science, Engineering, or related fields.
• Strong background in quantum algorithms and computing.
• Experience with quantum computing software stack.
• Excellent communication skills to facilitate interdisciplinary work with multiple collaborators and to represent the team's work at conferences.
Desired Qualifications:
• Experience with, and understanding of, benchmarking tools and other QCVV.
• Prior experience with execution of quantum and hybrid algorithms (including VQE and other variational algorithms) on NISQ-era hardware is strongly desirable.
• Prior experience with ML and quantum machine learning.
• Experience with machine learning libraries such as TensorFlow, Keras, Scikit-learn, etc.
• Strong publication record.
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