Quantum/Hybrid Algorithm Postdoctoral Scholar

Job type: 

Application deadline: 

Tuesday, September 20, 2022

Quantum/Hybrid Algorithm Postdoctoral Scholar - 96804
Division: AM-Applied Mathematics and Computational Research

Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division and the National Energy Research Scientific Computing Center (NERSC, https://crd.lbl.gov/divisions/amcr/applied-mathematics-dept/) 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.

What You Will Do:

  • Develop quantum and hybrid algorithms and work with experimentalists to execute algorithms on existing and near-term NISQ-era superconducting quantum computers.
  • Benchmark the performance of quantum and hybrid algorithms, and use this data to improve efficiency.
  • Work closely with experimentalists and FPGA engineers to understand limitations of existing hardware, and potentially participate in co-design of novel hardware/firmware features to enable next generation quantum and hybrid algorithms.
  • Work in a multidisciplinary team environment including theorists, experimentalists, and engineers from different technical areas.
  • Publish research findings in conferences and journals.

What 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.

The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on September 20, 2022.


  • This is a full-time 1 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 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 may be performed on-site, hybrid, full-time telework or remote modes. Work must be performed within the United States.

How To Apply
Apply directly online at 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.

Berkeley 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.

Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_f...) under 41 CFR 60-1.4.