We are seeking a postdoctoral researcher to develop the machine learning framework for glass fiber-matrix interphase considering wide range of resins and sizing chemistry; variability in interphase topology – monolayer versus multi-layer sizing; and pressure/temp/strain rate effects. Input data for the machine learning should be generated from all-atom and/or coarse-grain (CG) MD simulations. Click here to apply: https://careers.udel.edu/cw/en-us/job/498484/postdoctoral-researcher-ma….