PhD Intern-Quantum Computing

Pacific Northwest National Laboratory

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About The Position

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.
The Physical and Computational Sciences Directorate's (PCSD’s) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace at PNNL. But our most important resource is our people—experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time.
The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing artificial intelligence, applied mathematics, computing technologies, and data and computational engineering. Our scientists and engineers apply end-to-end co-design principles to advance future energy-efficient computing systems and design the next generation of algorithms to analyze, model, understand, and control the behavior of complex systems in science, energy, and national security.
The Future Computing Technology Group at the Pacific Northwest National Laboratory (PNNL) is seeking highly motivated PhD intern. We are looking for candidates with a strong background in any of the topics listed as follows:
Quantum error correction, detection and mitigation
Deployment of quantum algorithms and protocols on near term hardware
Benchmarking, verification and validation toolkit development for quantum computing
Quantum resource estimation for NISQ and FTQC
Quantum algorithm optimization and transpilation for NISQ and FTQC
ZX Calculus
Quantum computing and high-performance computing’s intersection
The internship is three months long, subject to extension based on performance and project needs. Interns can engage in cutting-edge research and contribute to impactful projects alongside our world-class team. This position will closely collaborate with a team in New York City and develop novel methods.

Requirements

• Candidates must be currently enrolled/matriculated in a PhD program at an accredited college.
• Minimum GPA of 3.0 is required.

Nice To Haves

• Currently enrolled in a PhD program in Quantum Computing, Physics, Applied Physics, Computer Science, Electrical Engineering, Applied Mathematics, Mathematics, Computational Science, or a closely related field.

Responsibilities

• Contribute and research the state of the art in one or more of the aforementioned research topics, with close collaboration with staff scientists.
• This role centers around a subsection of the description list, and will rely on 1-3 topics mentioned above.
• Present research progress and work in weekly team meetings, communicating progress and results.
• Engage with interns, post-docs and staff scientists in helping develop the quantum ecosystem capabilities.

Benefits

• Employees are offered an employee assistance program and business travel insurance.
• Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met.
• Employees are offered an employee assistance program and business travel insurance.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree