Applications Deadline: June 20, 2018
MACHINE-LEARNING METHODS FOR A DATA-DRIVEN MATERIALS RESEARCH
Build your future in materials research
Innovative materials are one of the key technologies for keeping products and industrial processes economically competitive and ecologically sustainable. Modern materials science requires a multi-discipline approach embracing chemistry, physics, engineering, as well as data science. This summer school will provide an overview of current developments in data-driven materials science – with a particular focus on machine learning and modern numerical approaches – and will offer a platform for discussions about future perspectives.
Prof. Dr. Gianaurelio Cuniberti
Prof. Dr. Sibylle Gemming
Prof. Dr. Wolfgang Lehner
Venue and format
Dresden is a cultural capital and a world-leading center for materials research. During the one-week school, renowned researchers will lecture and tutor the group of Master and PhD students.