Wednesday, May 26, 2021

Job posting: Research Engineer, Bosch Research, Cambridge, MA

From the inbox, a position with Bosch: 

Job Description

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). 

Primary responsibilities:

  • 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

Basic Qualifications

  • 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

Preferred Qualifications

  • 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
Full ad here. Best wishes to those interested. 

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