Postdoctoral Research Associate - Quantum Computing for Simulating Physical Systems

About the Role

The Computing and Artificial Intelligence (CAI) Division at Los Alamos National Laboratory (LANL) is seeking highly motivated applicants to explore applications of quantum computing to the simulation of complex physical systems. The successful candidates will be part of a multidisciplinary team developing computational techniques and theoretical frameworks for (early) fault-tolerant quantum computers, with an emphasis on Hamiltonian simulation, quantum algorithm design, and applications in either (A) materials simulation or (B) relativistic quantum chemistry. Research goals are to connect advances in quantum algorithms with high-impact scientific applications.

Responsibilities

• Design and conduct theoretical and computational studies.
• Develop and implement new quantum algorithms and circuits.
• Analyze results and optimize quantum resource estimation.
• Develop and analyze Hamiltonian simulation methods and efficient representations of physical systems.
• Use large-scale classical simulation and machine-learning techniques to develop, test, and validate approaches.
• Disseminate findings through peer-reviewed publications and scientific presentations.
• Collaborate with researchers in quantum computing, computational science, chemistry, and materials science.

Requirements

Education/Experience: Ph.D. in Computer Science, Applied Mathematics, Physics, or a related field from an accredited institution, completed within the last 5 years or near completion.

• Substantial experience in developing, analyzing, and improving quantum algorithms and their applications.
• Proficiency in high-level programming languages such as Julia or Python.
• Proven ability to communicate research findings effectively, as evidenced by publications, reports, or presentations.
• Ability to work both independently and collaboratively within a diverse team of scientists.

Qualifications

• Experience with developing and implementing quantum computing simulation methods for physical systems.
• Demonstrated experience with machine learning, high-performance computing, parallel programming, and GPU programming.
• Active Q clearance, or the ability to obtain a Q clearance.

U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.

Work Location

The work location for this position is onsite in Los Alamos, NM. All work locations are at the discretion of management.

Due to federal restrictions, citizens of the People's Republic of China (including Hong Kong and Macau), the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission of national security laboratories and nuclear weapons production facilities, including Los Alamos National Laboratory.

Benefits

• PPO or High Deductible medical insurance with a large nationwide network.
• Dental and vision insurance.
• Free basic life and disability insurance.
• Paid childbirth and parental leave.
• Award-winning 401(k) (6% matching plus 3.5% annually).
• Learning opportunities and tuition assistance.
• Flexible schedules and time off (PTO and holidays).
• Onsite gyms and wellness programs.
• Extensive relocation packages (outside a 50-mile radius).

Outstanding candidates may be considered for a Director's Postdoc Fellowship.