below marketmost similar roles pay hereabove market
This role pays less than
87%
of similar roles. Most pay
$177,250–$243,088
— the blue band above.
At the midpoint, this role pays about
$150k
versus about
$210k
for comparable roles.
Based on 240 similar postings.
Employer
About Bosch
Bosch is a global engineering and technology company supplying mobility solutions, industrial technology, consumer goods, and energy and building technology; Robert Bosch LLC is its North American arm.
Bosch currently has
75 open roles
on FindRole.
Listed pay typically runs
$165,000–$185,000
across 33 roles with salary data.
The Research Engineer – Accelerated Materials Discovery will join the Computational Materials Science team to conduct applied research in materials science at the atomistic level. The role involves utilizing a suite of tools to move from conceptualization to quantitative modeling, specifically focusing on thermodynamic, kinetic, and transport phenomena. Key responsibilities include conducting simulations rooted in physical and chemical principles, deriving actionable insights on materials behavior, and creating a scientifically rigorous AI-based framework for engineers. The candidate will use density functional theory, molecular dynamics, Monte Carlo simulation, phase-field modeling, and multiscale modeling within high-performance computing environments. Required skills include proficiency in the scientific Python ecosystem and applying AI techniques like active learning, Bayesian optimization, and reinforcement learning to solve problems in sensors, electrochemistry, energy conversion, and sustainability.
Conduct applied research in materials science focusing on simulations at the atomistic level.
Apply conventional atomistic methods and AI tools to derive insights on materials behavior and optimization.
Validate models against experimental data and engage with experimental efforts in conventional and self-driving lab contexts.
Create a scientifically rigorous AI-based framework for Bosch engineers to apply atomistic simulations to industrial materials.
Communicate research results through technical reports, peer-reviewed publications, and intellectual-property disclosures.
Identify and manage collaborations with external partners in industry, national labs, and academia.
Develop working prototypes and proof-of-concept solutions to solve complex scientific problems.
What we're looking 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 density functional theory, molecular dynamics, Monte Carlo, or multiscale modeling.
Proficiency in programming and software engineering with experience in the scientific Python ecosystem or equivalent tools.
Documented experience applying AI/machine learning techniques to scientific problems like active learning, Bayesian optimization, or reinforcement learning.
Demonstrated ability to conduct independent research, formulate research questions, and develop working prototypes or proof-of-concept solutions.
Evidence of research impact through peer-reviewed publications, patents, open-source software contributions, or equivalent professional accomplishments.
Demonstrated written and verbal communication skills to convey technical concepts across different disciplines and organizational levels.
Experience with validation of atomistic simulation results with experimental data and scale-bridging techniques (preferred).
Atomistic Simulation
Density Functional Theory
Molecular Dynamics
Monte Carlo Simulation
Phase-field Modeling
Multiscale Modeling
Python
Machine Learning
AI
High-Performance Computing
Bayesian Optimization
Reinforcement Learning
Active Learning
Automated Workflows
Scientific Python
Artificial Intelligence
Machine Learning
Computer Vision
Image Processing
Python
Physically Based Rendering
3D Scene Data
Image Generation
Image Restoration
Segmentation
Statistics
Scene Semantic Understanding
Light Transport
Illumination Transfer
Appearance Editing