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) 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 * development of novel machine models based on supervised, unsupervised and reinforcement learning that can be combined with, enhance or replace methods from computational ...
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