-
position in the area of Machine Learning for Engineering Design under the guidance of Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design. The general area of the laboratory covers
-
international collaboration with partners in Switzerland with academia, clinics and industry, mentoring MSc, and PhD students. Dr Diego Paez-Granados in collaboration with Prof. Robert Riener (SMS Lab ) will
-
interested in current political and societal discussions Be able to work independently, manage multiple tasks and deadlines Be a team player with strong communication skills Have experience with coding (e.g
-
elasticity, dissipation, and slender geometry interact to influence crack initiation and growth. Using in-house codes and high-performance computing resources, the candidate will simulate fracture processes