Research Engineer: Computational Materials & Autonomous Discovery

Energy Jobline ZR; Watertown (MA); On-site; USD 140,000 - 160,000; Full time

Benefits offered by this job

Health insurance

PTO & Paid holidays

Job summary

Bosch Corporate Research in the United States is seeking a Research Engineer to perform applied atomistic materials science and contribute to next-generation Bosch products. You will use classical and AI-based simulation tools to rapidly move concepts from idea to quantitative models, aligning with engineering cycles and experimental campaigns.

You will engage with experimental teams, publish results, and help shape a collaborative research culture across physics, chemistry, AI, and software.

Qualifications

• 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 using DFT, MD, Monte Carlo, phase-field, multiscale modeling and HPC environments.
• Proficiency in programming and the Python ecosystem for scientific computing.
• Experience applying AI/ML techniques to scientific problems (active learning, Bayesian optimization, reinforcement learning or autonomous labs).
• Ability to conduct independent research, analyze complex data, and develop prototypes or proofs-of-concept.

Responsibilities

• Conduct applied research in materials science focusing on simulations at the atomistic level.
• Apply conventional and AI tools to derive insights on materials behavior and optimization.
• Collaborate with external partners and internal teams.
• Communicate results through internal presentations, reports, publications, and IP disclosures.
• Contribute to an interdisciplinary research environment spanning materials science, physics, chemistry, AI, simulation, software, and automation.
• Develop an AI-based framework that enables engineers to apply atomistic simulation to industrial materials.

Skills

Python ecosystem

AI/ML techniques

Independent research

Communication skills

Education

PhD in materials science or related

Tools

Density functional theory

Molecular dynamics

Monte Carlo

Phase-field

High-performance computing

Python

Job description

Bosch Corporate Research in the United States is seeking a Research Engineer to perform applied atomistic materials science and contribute to next-generation Bosch products. You will use classical and AI-based simulation tools to rapidly move concepts from idea to quantitative models, aligning with engineering cycles and experimental campaigns.

You will engage with experimental teams, publish results, and help shape a collaborative research culture across physics, chemistry, AI, and software.