Location: Los Alamos, NM
Cap-Exempt H-1B Position — No lottery required
**What You Will Do** The Information Sciences Group (CAI-3) in the Computing and Artificial Intelligence Division at Los Alamos National Laboratory is seeking outstanding candidates for a postdoctoral research associate position at the intersection of quantum computing, quantum algorithms, and quantum machine learning with a focus on simulation of many-body quantum systems through Hamiltonian simulation and optimization problems. Successful candidates will join a multidisciplinary team advancing quantum simulations by combining theoretical and computational methods. A central goal is to develop novel analytical tools and new workflows to leverage existing AI tools to analyze and optimize quantum algorithms for fault-tolerant quantum computers. The postdoctoral researcher will also explore the development of new quantum algorithms and discover new quantum computing use cases. **What You Need** Minimum Job Requirements: - A Ph.D. in Computer Sciences, Mathematics, Materials Science, or related physical sciences, completed within the last 5 years. - Programming and simulation experience (Python, Julia, etc.) - Demonstrated experience in conducting original scientific research through peer-reviewed publication records. - Excellent communication and writing skills. Desired Qualifications: In addition to the minimum requirements, the following qualifications are desired, and preference will be given to candidates satisfying (at least one) of them: - Solid background in quantum algorithms, quantum computation, quantum information, and quantum communication. - Demonstrated experience in quantum simulation techniques (preferably with tensor networks but other methods such as Monte Carlo, Pauli Propagation, etc.., are welcome). - Experience with fault-tolerant quantum simulations of many-body systems. - Experience with High Performance Computing (HPC) or GPU programming. - The ability to work creatively and independently as well as learn and collaborate with experts as a part