PhD degree in Computer Science, a related field, or equivalent practical experience.
2 years of experience in leading a research agenda.
Experience in coding with Python, JavaScript, R, Java, or C++.
Experience in theoretical quantum physics (e.g., quantum mechanics, quantum field theory, condensed matter physics).
Experience with research and development, algorithms and optimization, implementing numerical optimization methods designed for inventory and supply-chain network optimization.
One or more scientific publication submissions for conferences, journals, or public repositories.
Preferred qualifications:
Experience in performing numerical simulations of quantum systems and research publications with documenting results.
Experience in developing research program in classical simulation for different quantum phenomena (e.g., electronic structure, condensed matter, ab-initio representations, multiscale modeling).
Experience in developing new numerical methods for standard computational problems (e.g., eigen/singular value estimation, linear/non-linear optimization, etc.).
Knowledge of quantum computing by at least one publication in the field that highlights development of numerical techniques for quantum algorithm design, classical simulation of quantum systems, or computational assessment of a physical theory.