TUD Dresden University of Technology

TUD Dresden University of Technology

Our pledge
Being involved in the EIT Deep Tech Talent Initiative, we propose, together with experienced partners, to develop and establish a hybrid training program tailored for materials scientists, focusing on the application of machine learning. With this course, we will provide participants with practical skills for advanced data analysis, materials prediction and experimental design using AI. The training is available both online and (in part) in-person, offering flexible participation and Europe-wide access to the developed learning resources.
The program will be delivered by experts from Chair of Materials Science and Nanotechnology together with an educational training partner. The teaching and the challenge will be conducted in an interdisciplinary way by experts experienced in academic teaching and professional training from the fields of machine learning, computational materials science, computer and data science, measurement techniques and image processing.

About
TUD Dresden University of Technology is one of the largest Universities of Technology in Germany and is among the leading, most dynamic universities in the country. With 17 Faculties across five Schools, it offers a widespread range of 119 degree programs and covers a broad spectrum of research.
The Chair of Materials Science and Nanotechnology focuses on scale-bridging concepts, quantitative methods and experiments for understanding materials phenomena and their application in current technologies.