Research Engineer - Computational Materials Science
- Hampshire St, Cambridge, MA 02139, USA
- Legal Entity: Robert Bosch LLC
The Bosch Group operates in most countries in the world. With over 400,000 associates, a career at Bosch offers a chance to grow an exceptional career in an environment that values diversity, initiative, and a drive for results. If you are interested in working on the cutting-edge of technology, working at Bosch Research is the place for you!
We are committed to quality at Bosch. Our environment celebrates diversity and promotes career progression. We seek highly skilled, creative, results-oriented people who can look at technology from a new perspective and provide surprising insight. We are looking for candidates who want to shape and drive innovation at Bosch.
The Research Engineer will develop atomistic computational material tools which are used to develop and improve functional material properties for usage in PEM fuel cells and other Bosch applications such as sensors, semiconductor devices, and coatings. These tools will enable mechanistic understanding of materials at the atomistic level, rapid material screening, elucidation of degradation mechanisms or possible mitigation strategies, and quantitative analysis of process kinetics in polymer and metal materials of interest. To support this activity, he or she may need to perform quantum chemistry, DFT or molecular dynamics simulation of organic materials (polymers and molecules) or inorganic materials (alloys, semiconductors, oxides, etc).
- Research in computational material science studying a wide variety of materials for electrochemical, sensor, semiconductor devices, and coating materials
- Atomistic method and tool development and quantitative property prediction for existing or hypothetical materials
- Screen materials for further experimentation, and interpret simulations to provide concrete takeaways for product development
- Collaboration with experimentalist and modeling partners worldwide
- PhD from a top university in Materials Science, Physics, Chemistry, Biological Engineering, Chemical Engineering, or Mechanical Engineering
- Direct experience with atomistic simulation tools in high performance computing clusters
- Direct experience with quantum chemistry, DFT, and/or molecular dynamics
- Proficiency for quickly learning new skills or field of study
- Experience and record of innovation in the atomistic space; particularly in identification of new use cases for atomistic simulation in products
- Experience in one or more of the following: machine learning for materials; AI hardware; simulated chemical degradation or other kinetic processes; electrochemical property prediction from ab-initio data; electronic transport in organometallic systems
- Experience with software development and databases; especially fluency in python
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives
- FIRST Robotics (For Inspiration and Recognition of Science and Technology)
- AWIM (A World In Motion)
By choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled.