Quantum Computing Materials Science Intern

Required Qualification:

Currently pursuing a PhD in Physics, Chemistry, Materials Science, Applied Mathematics, or a related field

Strong background in quantum many-body physics, electronic structure theory, or quantum algorithm development

Experience with numerical simulations (Python, NumPy, SciPy)

Research experience, strong teamwork skills, and excellent oral and written communication

Minimum GPA of 3.0

The U.S. base salary range for this intern position is

$43.00 – $55.00 an hour

. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.*

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

FIRST Robotics (For Inspiration and Recognition of Science and Technology)

AWIM (A World In Motion)

As an intern in the Atomistic Computational Materials Science team at the Bosch Research and Technology Center North America, you will contribute to the development of advanced computational methods for strongly correlated electron systems within a hybrid quantum–classical Dynamical Mean-Field Theory (DMFT) workflow.

Your work will focus on the development and benchmarking of: (1) classical impurity solvers based on Density Matrix Renormalization Group (DMRG) and Adaptive Sampling Configuration Interaction (ASCI), and (2) quantum impurity solvers based on Variational Quantum Eigensolver (VQE), quantum Equation of Motion (qEOM), Subspace Expansion (SE), and Sample-based Quantum Diagonalization (SQD). These methods will be used to compute ground and excited states of multi-orbital Anderson Impurity Model (AIM) Hamiltonians, evaluate Green’s functions in the Lehmann representation, and integrate the solvers into a hybrid DMFT self-consistency workflow as described in npj Comput. Mater. 11, 325 (2025) and arXiv:2404.09527.

The goals of this research are to enable scalable simulations of strongly correlated materials and to assess the role of emerging quantum computing technologies in future industrial materials design workflows. You will have access to state-of-the-art high-performance computing infrastructure and classical quantum simulators for algorithm development and benchmarking.

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