Home Postdoc Abroad Quantum Information Science Postdoc, Brookhaven National Laboratory (BNL), USA

Quantum Information Science Postdoc, Brookhaven National Laboratory (BNL), USA

Postdoctoral Position in USA

Summary

Brookhaven National Laboratory’s Computing and Data Sciences (CDS) Directorate is seeking an exceptional candidate for a Postdoctoral Research Associate in Quantum Information Science. The primary focus of this position is designing new topological quantum error correcting codes, analyzing their properties, and exploring quantum algorithm/code co-design for specific hardware architectures. This role offers theoretical and computational research opportunities with the flexibility of being fully remote or onsite.

Key Position Details

FeatureDetails
Position TitleQuantum Information Science Postdoc
Job Requisition IDJR102635
Employer / InstituteBrookhaven National Laboratory (BNL)
DirectorateComputing and Data Sciences (CDS) Directorate
DesignationPostdoctoral Research Associate
Employment TypeFull-time
Term DurationInitial 1-year term (renewable contingent on performance & funding)
LocationRemote (Option for Onsite at Upton, NY)
Salary Range$74,050 – $122,550 / year (commensurate with experience)
Application DeadlineOpen until filled / Rolling review

Research Area

  • Primary Focus: Quantum Information Science (QIS), Topological Quantum Error Correcting Codes (QECC).
  • Secondary / Interdisciplinary Areas:
    • Quantum Algorithm / Quantum Code Co-design.
    • Code design tailored for specific quantum hardware architectures.
    • Application of Tensor Networks and Artificial Intelligence (e.g., Graph Neural Networks) in quantum systems.
    • High-Performance Computing (HPC) simulations.

Location

  • Work Arrangement: Remote (United States) with an option to work onsite at Brookhaven National Laboratory (Upton, NY).

Eligibility & Qualifications

Required Qualifications:

  • Education: Ph.D. in Theoretical Physics, Mathematics, Computer Science, or a closely related discipline obtained within the past 5 years.
  • Experience Limit: Per BNL policy, candidates must not exceed a combined total of 5 years of relevant postdoctoral/R&D work experience post-Ph.D. (excluding qualifying personal leaves).
  • Technical Background: Demonstrated research experience in Quantum Information Science, particularly in quantum error correction.
  • Analytical & Computational Skills: Strong aptitude for analytical/theoretical work and efficient coding for simulation and testing.
  • Communication: Excellent written and oral communication skills with a proven track record of academic publications and presentations.

Preferred Qualifications:

  • Familiarity with topological codes.
  • Expertise in tensor networks.
  • Experience training AI/ML models, specifically Graph Neural Networks (GNNs).
  • Familiarity with high-performance computing (HPC) workflows.

Job Description & Essential Duties

  • Theoretical Investigation: Collaborate closely with the Principal Investigator (PI) on projects focused on designing and analyzing novel topological quantum error correcting codes.
  • Tool Development: Devise and apply mathematical and analytical frameworks; implement coding and computational pipelines to simulate and validate theoretical models.
  • Algorithm & Hardware Co-Design: Explore co-design strategies linking quantum algorithms and error mitigation/correction to target hardware platforms.
  • Dissemination & Collaboration: Write scientific manuscripts for peer-reviewed journals, present findings at national/international conferences, and actively collaborate with multidisciplinary teams across BNL and partner institutions.
  • Lab Standards: Comply with operational safety, ethical conduct, and Department of Energy (DOE) clearance/identity verification protocols.

How to Apply

  1. Visit the official Brookhaven National Laboratory Careers Portal (Requisition JR102635).
  2. Click Apply and create/sign in to your Workday applicant profile.
  3. Submit your Curriculum Vitae (CV), a Cover Letter / Research Statement, and the contact information for professional references.

Last Date to Apply

  • Deadline: Open Until Filled (Applications are reviewed on a rolling basis; early application is strongly encouraged).

Link

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