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Los Alamos National Laboratory · 2 weeks ago

Nuclear Quantum Dynamics Postdoc Research Associate

Los Alamos, NM

Full-time

Onsite

New Grad, Entry Level

Los Alamos National Laboratory is a multidisciplinary research institution focused on strategic science for national security. They are seeking a postdoctoral research associate to develop advanced quantum dynamics methods for nuclear quantum effects, collaborating with a diverse team to enhance theoretical techniques and design high-performance algorithms.

Security

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Developing scalable tensor network method for simulating nuclear quantum dynamics in condense phase

Advancing theoretical spectroscopic techniques by leveraging quantum information science

Designing high-performance algorithms to enhance the efficiency and applicability of the developed methods

Demonstrating the impact of NQE in both model and realistic functional systems and linking theory with experiments to advance understanding of quantum-driven chemical and energy transduction

Qualification

Quantum dynamicsProgramming FortranProgramming C/C++Programming PythonElectronic structure methodsHigh Performance ComputingTensor network methodsScientific researchCommunicationTeam collaboration

Required

A Ph.D. in Physics, Chemistry, Materials Science, or related physical sciences, completed within the last 5 years or to be completed soon

Programming experience (either Fortran, C/C++, or Python)

Demonstrated experience in conducting original scientific research through peer-reviewed publication records

Excellent communication and writing skills

Preferred

Solid Background in quantum dynamics

Demonstrated experience in developing quantum or mixed quantum-classical dynamic methods like tensor network, multiple-configurational Time dependent Hartree, Ab initio Multiple Cloning/spawning

Demonstrated experience in electronic structure methods (either DFT, semiempirical or post-HF methods)

Experience with developing reduced-scaling algorithms or massively parallel algorithms

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 of a diverse multi-disciplinary team

Demonstrated ability to work independently and with minimum supervision

Ability to adapt to new requirements for projects and be flexible enough to learn new areas of research as needed