Postdoctoral Fellow, Machine Learning Force Fields

We’re seeking a Postdoctoral Fellow in Machine Learning (ML) to develop state-of-the-art ML force fields and apply them to impactful applications in materials sciences.

Requirements

• PhD (or extensive experience) in Chemistry, Materials Science, Engineering, Computer Science, or Physics
• Proven track record of scientific contribution and independent research
• Prior experience with development of ML force fields and/or electronic structure methods
• Experience with modeling solid-state materials using first-principles

Benefits

• Healthcare (with dental and vision)
• 401k
• Pre-tax commuter benefits
• Flexible work schedule
• Parental leave program