Postdoctoral Fellow: ML-Driven Materials & Mechanics

A prestigious research institution in Cambridge is seeking a postdoctoral researcher to join their Materials Intelligence Research group. The ideal candidate will develop machine learning methods and apply first principles for computational materials physics and chemistry. Responsibilities include developing neural network models for interatomic potentials and optimizing methodologies for non-local exchange-correlation functionals. The role requires a PhD in a relevant field and offers a competitive salary range based on experience and qualifications.
#J-18808-Ljbffr