Postdoctoral Research Associate - Quantum Computing for Simulating Physical Systems

** What You Will Do*
* 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.

Successful applicants will focus on one of these target application areas; candidates are not expected to have expertise in both.

Our research goals are to connect advances in quantum algorithms with high-impact scientific applications. Research may include the development and analysis of Hamiltonian simulation methods, efficient representations of physical systems, quantum algorithm and circuit optimization, numerical benchmarking, and quantum resource estimation. Large-scale classical simulation and machine-learning techniques may also be used to develop, test, and validate these approaches.

Successful applicants will have the opportunity to lead and collaborate on innovative projects, working closely with researchers in quantum computing, computational science, chemistry, and materials science. Responsibilities include designing and conducting theoretical and computational studies, developing and implementing new algorithms, analyzing results, and disseminating findings through peer-reviewed publications and scientific presentations.

** What You Need*
* ** Minimum

Job 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.

The successful candidate must have:

+ 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.

** Desired

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.

*
* Work Location:

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

** Note to Applicants:*
* Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of 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, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.

For full consideration please click "Apply Now" button on this webpage and upload a comprehensive CV with publications, a cover letter describing your qualifications and how you meet the job requirements, and the name and contact information of at least three references. For questions about this position, please contact John Golden ( golden ).

Working on some of the group's projects requires obtaining a Q clearance, providing greater opportunity for growth. To obtain a clearance, an individual must be at least 18 years of age. U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.

For more information, visit LANL career page:  https://(Use the "Apply for this Job" box below). .

Outstanding…