Responsibilities

Bosch Corporate Research is seeking a Research Engineer to conduct applied research in computational materials science at the atomistic level and contribute to the development of next-generation Bosch products. The Research Engineer will be expected to utilize the full suite of tools available for atomistic simulation, from conventional classical and electronic structure calculations to emerging AI techniques, to rapidly move from conceptualization to qualitative screening to quantitative modeling, in pace with engineering development cycles and experimental campaigns.
As connection to physical product development is paramount in this role, the successful candidate will be able and interested in engaging with experimental efforts, both in conventional and self-driving lab contexts, and expanding broad professional networks both within Bosch and externally with industry partners, national labs and academia.
Your responsibilities
Conduct applied research in materials science rooted in rigorous physical and chemical principles, focusing on simulations at the atomistic level
Apply both conventional atomistic methods and emerging AI tools to derive actionable insights on materials behavior, selection, and optimization, supported by appropriate model validation
Identify, connect, and work with external collaborators
Communicate research results through internal presentations, technical reports, peer-reviewed publications, conference presentations, and intellectual-property disclosures.
Contribute to a collaborative, interdisciplinary research environment spanning materials science, physics, chemistry, AI, simulation, software, and experimental automation.
Create a scientifically rigorous AI-based framework that empowers ordinary Bosch engineers to confidently apply atomistic simulation to complex, industrially relevant materials with high quality and impact.
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 hands-on application in one or more of the following areas: density functional theory, molecular dynamics, Monte Carlo simulation, phase-field modeling, multiscale modeling, as well as high-performance computing environments.
Proficiency in programming and software engineering, with demonstrated experience in the scientific Python ecosystem or equivalent computational tools.

Research Engineer - Computational Materials Science & Self-Driving Materials Discovery at BoschGroup · LumiJobs

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

Responsibilities

Qualification

Preferred

Company

BoschGroup

More roles at BoschGroup