Quantum Computing ScientistJob ID 2219 Date posted 10/19/2020
Brookhaven National Laboratory is a multipurpose research institution funded primarily by the U.S. Department of Energy’s Office of Science. Located on the center of Long Island, New York, Brookhaven Lab brings world-class facilities and expertise to the most exciting and important questions in basic and applied science—from the birth of our universe to the sustainable energy technology of tomorrow. We operate cutting-edge large-scale facilities for studies in physics, chemistry, biology, medicine, applied science, and a wide range of advanced technologies. The Laboratory's almost 3,000 scientists, engineers, and support staff are joined each year by more than 4,000 visiting researchers from around the world. Our award-winning history, including seven Nobel Prizes, stretches back to 1947, and we continue to unravel mysteries from the nanoscale to the cosmic scale, and everything in between. Brookhaven is operated and managed by Brookhaven Science Associates, which was founded by the Research Foundation for the State University of New York on behalf of Stony Brook University, and Battelle, a nonprofit applied science and technology organization.
Brookhaven National Laboratory (BNL) is a scientific, extreme scale Data Laboratory in the US, New York State, Long Island. We support the data and computational needs of on-site facilities such as the Relativistic Heavy Ion Collider (RHIC), the National Synchrotron Light Source II (NSLS II), the Center for Functional Nano Materials and the Atmospheric Radiation Measurement program. In addition, we host the largest data center for the ATLAS experiment at CERN, and provide online and offline data services for the Japanese Belle II experiment. With over 170 PB of archived data BNL hosts one of the top 10 scientific data archives in the world, in 2019 alone we analyzed over 800 PB of scientific data.
As a result, we have a lively, fast-growing data science research program at BNL, with a specific focus on the challenges presented by the analysis, interpretation, and use of data at extreme scales and in real-time. The data science program is accompanied by significant computational modeling research effort, in support of the design, planning, analysis, and interpretation of experiments and their results. The Computational Science Initiative (CSI -https://www.bnl.gov/compsci/) provides a laboratory-wide umbrella for these activities, bringing together computer scientists, applied mathematicians, and domain scientists to carry out leading-edge research, convert research results into practical solutions that advance domain science, and provide the necessary computing infrastructure services and training to support efficient operation.
Computing and Quantum Information Science. The successful candidate is expected to work closely with quantum computing researchers at BNL and in the larger community on exciting scientific projects of interest to DOE and other Federal Agencies. Areas of immediate interest include: development of quantum qubit technologies, superconductive computing, novel materials for quantum computing, general purpose software tools that can enhance the usability of NISQ-era quantum computers for scientific domains relevant to DOE’s missions, and for other areas of applicability of quantum computing. Appointment level will be commensurate with experience and qualifications.
Essential Duties and Responsibilities:
- Design and carry out original research in quantum technologies for qubits utilizing superconductive circuits, and silicon devices
- Contribute to HW-SW co-design for efficient enablement of quantum computing
- Collaborate with scientists within and outside of BNL
- Bring together and interact closely with world-leading scientists in quantum computing across governments, industry, and academia to understand the latest state-of-the-art research and to help identify future research gaps and needs
- Develop research ideas into actionable research strategies and programs
- Present research progress and outcome at internal meetings, external conferences and workshops
- Publish research findings in peer-reviewed journals or conference proceeding
Required Knowledge, Skills, and Abilities:
- PhD in Physics, Applied Mathematics, Computer Science or related fields
- Demonstrated knowledge of Quantum Computing and/or Quantum Information Science
- Effective interpersonal and written communication skills
- The ability to work in a collaborative environment with researchers from different scientific disciplines
- Ability to obtain and maintain a security clearance.
Preferred Knowledge, Skills, and Abilities:
- Experience with using existing quantum computing platforms and/or simulators such as IBM Q, Rigetti, IonQ, etc.
- Experience with quantum device physics and fabrication technologies
- Experience with qubit control and error mitigation
At Brookhaven National Laboratory we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes but is not limited to:
- Medical Plans
- Dental Plans
- Life Insurance
- 401(k) Plan
- Pension plan
- Swimming Pool, Weight room Tennis Courts, and many other employee perks and benefits
BNL takes affirmative action in support of its policy and to advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities.We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.Please contact us to request accommodation.
*VEVRAA Federal Contractor
Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486-1-border/@@images/fileApply Now