Research Engineer - Computational Materials Science & Self-Driving Materials Discovery

What you'll do

• Use atomistic simulation and AI tools to model, screen, validate, and optimize materials, collaborating with experimental teams and external partners.
• Develop a scientifically rigorous AI-based framework that helps Bosch engineers apply atomistic simulation to industrial materials problems.
• Communicate research through presentations, reports, publications, conferences, and intellectual-property disclosures.

What they ask for

• PhD in materials science, chemistry, physics, chemical engineering, mechanical engineering, biophysics, or a closely related field.
• Demonstrated experience in atomistic simulation and computational materials science, including one or more listed modeling methods and high-performance computing.
• Proficiency in programming and software engineering, with experience in the scientific Python ecosystem or equivalent computational tools.
• Documented experience applying AI/machine learning to scientific problems, plus evidence of independent research and research impact.

Nice to have

• Experience validating and integrating atomistic simulation with experimental data and working with experimental teams.
• A broad research network or experience with industry-academic partnerships or multidisciplinary research consortia.

Pay

$140,000-$160,000 USD base salary

Tools

density functional theory, molecular dynamics, Monte Carlo simulation, phase-field modeling, multiscale modeling, high-performance computing, scientific Python, Bayesian optimization

AI focus

Apply AI and machine learning to scientific materials problems, including active learning, Bayesian optimization, reinforcement learning, automated workflows, and autonomous lab systems; develop an AI-based framework for atomistic simulation.