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Computational Materials Science Intern

Bosch Group

Computational Materials Science Intern

Sunnyvale, CA
Internship
Paid
  • Responsibilities

    Job Description

    Bosch Research is looking for an intern with experience in atomistic computational materials science to join the materials design team. Our goal is to enable improved Bosch products through deep understanding of thermodynamic, kinetic, and transport phenomena on an atomic level using both quantum and classical simulations. Strong focus is placed on development and application of computational and machine-learning methods for understanding and automated discovery of next-generation materials, primarily for electrochemistry and energy conversion.

    In this particular position, the intern will develop and test computational workflows, simulation tools and effective models for simulating industrially relevant materials on a near-term quantum computer. Quantum computing significantly improves speed and accuracy of quantum mechanical simulations compared to conventional high-performance computers. When combined with classical simulation approaches, quantum computing promises to revolutionize computational design of functional materials, and to advance understanding of degradation phenomena on the atomistic level. This work is relevant for the optimization of catalytic processes in devices like fuel cells.

    DUE TO COVID-19 MEASURES, THIS POSITION WILL LIKELY INVOLVE WORKING REMOTELY. INTERACTING WITH THE TEAM WILL OCCUR VIA VIDEOCONFERENCE, AUDIOCONFERENCE, EMAIL, ETC. STRONG CANDIDATES WILL HAVE A PROVEN ABILITY TO CONTRIBUTE HIGH QUALITY WORK IN A REMOTE WORK ENVIRONMENT.

  • Qualifications

    Qualifications

    REQUIRED QUALIFICATION:

    • Pursuing a graduate degree at a top university in physics, chemistry, materials science, or a related field
    • Solid foundations in materials science, solid-state physics, and/or chemistry
    • Experience in atomistic simulations, preferably density-functional theory or quantum chemistry
    • Ability to work remotely

    DESIRED QUALIFICATION:

    • Research and coding experience, preferably with fluency in Python and FORTRAN/C++
    • Working experience with maximally localized Wannier functions, Hubbard models, Anderson impurity models, dynamical mean-field theory, or Green's functions methods is a plus
    • Familiarity with quantum circuits or quantum assembler code (Cirq, Qiskit, Qasm) is a plus

    Additional Information

    • Please include your resume in your application.

    By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

    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)