Research Engineer - Computational Materials Science & Self-Driving Materials Discovery
Core
Conduct applied research in computational materials science at the atomistic level to develop next-generation Bosch products, bridging simulation with experimental efforts.
Role type
Senior IC research engineer (computational materials science & AI)
Builds
Actionable insights on materials behavior, selection, and optimization; AI-based frameworks for engineers
Domain
Industrial materials science, physics, chemistry, AI, simulation
Deliverable
production ML models | research
Required skills
atomistic simulation, density functional theory, molecular dynamics, Monte Carlo simulation, phase-field modeling, multiscale modeling, high-performance computing, scientific Python, AI/machine learning, active learning, Bayesian optimization, reinforcement learning, autonomous lab systems
Preferred skills
validation of simulation results with experimental data, scale-bridging techniques, industry-academic partnerships
Technologies
DFT, MD, Monte Carlo, phase-field, HPC, Python, active learning, Bayesian optimization, reinforcement learning
Responsibilities
Conduct applied research in materials science rooted in rigorous physical and chemical principles; Apply conventional atomistic methods and emerging AI tools to derive actionable insights; Identify and work with external collaborators; Create a scientifically rigorous AI-based framework for engineers
Seniority
Senior, hands-on IC