Sort by
Refine Your Search
-
at international conferences and workshops. Contribute to lab activities and brainstorming sessions. Stay updated with advancements in HCI, machine learning, and sensor systems. Profile We are seeking a motivated
-
velocity changes at selected locations with the introduction of unsupervised machine learning and study the interaction of mass balance changes (crustal stress changes) and geohazards such as rain-induced
-
and original surveys with causal inference and machine learning methods to bring new evidence to bear on the urgent problems policymakers and practitioners face. We collaborate with a nonprofit
-
will work within the Computational Mechanics Group of ETH Zürich in collaboration with industrial partners. You will have the unique opportunity to learn, develop and apply a range of cutting-edge
-
or similar tools) Initial experience with machine learning, clustering methods or generative AI (preferred but not required) Willingness and ability to collaborate with researchers from different backgrounds
-
of the CDL group and the postdocs, on closed-loop control systems with machine learning, and design for fabrication workflows. In addition to conducting their research, Ph.D. students at ITA get the
-
, electrical engineering, robotics, signal processing, and machine learning. We collaborate with several of them as well as institutions and companies in Switzerland and abroad. chevron_right Working, teaching
-
. Above all, we are seeking highly motivated and enthusiastic scientists who thrive in collaborative working environments, enjoy taking on challenges, learning new skills, critical thinking and problem
-
databases, and machine-learning-augmented life cycle assessment (LCA) tools to generate energy and mass balances for key production processes. A significant part of the project will be linking
-
university . You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits. chevron_right