Sort by
Refine Your Search
-
knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Control and Automation at inspire AG offers the following position in collaboration with Bota
-
control hardware requirements, such as radiators, heat pipes, thermal switches, heaters, insulation, and coatings Work closely with mechanical, systems, and payload engineers to ensure integrated spacecraft
-
or mechanical engineering, or CS Solid knowledge of computer vision and ML, particularly anomaly detection methods Experience with multimodal data (e.g., image + time series, sensor fusion) is a strong ad-vantage
-
systems consisting of individually controlled atoms and atomic ensembles. Current research directions include: Demonstrating scalable architectures for fault-tolerant quantum information processing
-
concepts Support laboratory experiments and technology demonstrators Interface optical designs with mechanical, thermal, and control system constraints Support calibration, validation, verification, and test
-
Engineering or the Department of Health Sciences and Technology. Participation in the interdisciplinary training of the ENDOTRAIN network is mandatory, including workshops, retreats, transferable skills courses
-
Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge
-
scientists and engineers. This position is offered as a fixed-term appointment for an initial period of two years, with the possibility of extension. Project background The objective of this initiative is to
-
candidate will systematically study and engineer nanomaterial film architectures on miniaturized (MEMS) substrates for integrated gas sensing devices. The central objective is to understand and control how
-
industrial partners to tackle advanced modelling, simulation, sensing, and data analysis challenges in engineering systems across sectors. Project background The COMBINE Doctoral Network aims to train a cohort