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Quantum Computing Postdoctoral Fellow - 95223
Organization: AM-Applied Mathematics and Computational Research
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr) has an opening for a Quantum Computing Postdoctoral Fellow to join the team.
In this exciting role, you will be responsible for research focused on the development of programming models, software tools and algorithms that enable DOE relevant science domains to utilize quantum simulation on NISQ quantum computers. You will contribute to the development and/or advancement of open-source software tools, primarily in Python, possibly in C/C++, focused on implementation of optimal algorithms on large numbers of qubits. You will be involved in the design and execution of simulations of physical hardware from testbeds and commercial partners. Involvement in the publication of the research and contributions at conferences is expected.
You will be part of an integrated team of quantum algorithm developers, mathematicians and computer scientists that will design and deliver novel algorithms, compiling techniques, and scheduling tools for DOE relevant science domains that will break new ground in modeling dynamical processes physical sciences and will advance machine learning on near-term quantum computing platforms, and provide a foundation for algorithmic development by the broader scientific and engineering scientific community.
What You Will Do:
• As part of the team, contribute to the development of efficient algorithms for quantum simulations.
• Contribute to the implementation of algorithms in open-source software tools for quantum computing.
• Contribute to the advancement of software tools developing optimal quantum source code.
• As part of an interdisciplinary team, contribute to the design and execution of simulations on physical hardware.
• Publish results in peer reviewed journals and conferences.
Additional Responsibilities as needed:
• Excellent presentation skills.
What is Required:
• Ph.D. degree in chemistry, physics, applied mathematics or a relevant field.
• Demonstrated experience in quantum computing and related algorithm and software development.
• Strong programming skills in Python.
• Ability to work collaboratively in an interdisciplinary team, contributing to an active intellectual environment.
• Excellent written and oral communication skills.
Desired Qualifications:
• Programming skills in C/C++.
Notes:
• This is a full-time 2 years, 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.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=225474 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
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Equal Opportunity and IDEA Information Links:
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