PhD in Generation of Microstructured Surfaces with Controlled Optical Properties Using Generative Adversarial Networks

The PhD project aims to develop a predictive surface-generation methodology that links microtopography to optical appearance using Generative Adversarial Networks. It will explore the synthesis of micro-textured surfaces with tunable optical properties, enhancing visual customization in various fields. The candidate will work on integrating physical modeling and AI to optimize surface design and manufacturing processes.