Aarhus Universitets segl

Enhancing manufacturing using machine learning and simulation in a digital twin context

Production and manufacturing processes involve complex repetitive processing steps, commonly involving expert-based manual inspection for quality assurance. Recent technological advances in the areas of co-simulation, artificial intelligence, machine learning and digital twins can lead to powerful frameworks and tools enabling data-driven knowledge extraction, on-demand quality analysis, and risk management. Artificial Intelligence (AI)-enabled Industrial Manufacturing Systems will boost automation leading to products and services of higher quality, lower delivery time, and enhanced capabilities. Simulation of changes of products and production lines will be included in this PhD project, also from a sustainability perspective.

The Department of Electrical and Computer Engineering at Aarhus University invites applications for a fully-funded PhD scholarships. This PhD project is funded by close collaboration with Ringkøbing-Skjern Municipality targeting a digital transformation of some of the companies in the area. As a part of this transformation a local Digital Transformation Lab is established and this will be used for the experimental parts of this PhD project. The Digital Transformation Lab will be key in ensuring the best exchange of research-based knowledge from the university with practice-based knowledge at local companies.