PhD position on physics-based machine learning modeling for materials and process design
PhD position on physics-based machine learning modeling for materials and process design
Helmholtz-Zentrum Hereon
Geesthacht (bei Hamburg)
The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and exploit relationships along the composition-process-structure-property-performance chain; therefore, enable stability and control of novel manufacturing processes as well as achieving desired properties within materials science and engineering. * master's degree in mechanical engineering, materials science, computational engineering, computer science, applied mathematics, physics or a similar area - Institute of Material and Process Design - The Institute of Material and Process Design is dedicated to the sustainable and ecological ...
The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and exploit relationships along the composition-process-structure-property-performance chain; therefore, enable stability and control of novel manufacturing processes as well as achieving desired properties within materials science and engineering. * master's degree in mechanical engineering, materials science, computational engineering, computer science, applied mathematics, physics or a similar area - Institute of Material and Process Design - The Institute of Material and Process Design is dedicated to the sustainable and ecological ...
NEU