28 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" positions at Empa in Switzerland
Sort by
Refine Your Search
-
Laboratory for Air Pollution / Environmental Technology, in collaboration with the University of Zurich and Wageningen University & Research. The four-year STEPS project focusses on developing data-driven and
-
field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision of students Your
-
welds. Modelling and simulation: development of a physics-based simulation framework (e.g., phase-field modelling) to predict hydrogen-assisted crack growth and long-term mechanical integrity of steels
-
. Empa is a research institution of the ETH Domain. Empa’s Laboratory of Biomimetic Membranes and Textiles develops novel smart fibers, textiles and membranes for body monitoring, drug delivery and tissue
-
. The aim of the project is to extend cycle life by the controlled release of active lithium. Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop
-
. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
-
. Empa is a research institution of the ETH Domain. Environmental noise from air and ground-borne traffic is an underestimated problem. In our research group, we develop new technical solutions to mitigate
-
is the development ferroelectric lead free ceramics sintered below 500°C and the analysis of their mechanical and electromechanical properties of elastomers with piezoelectric properties using 3D
-
multidisciplinary team of physicists and chemists working at the forefront of quantum materials and surface science. Utilizing a combination of experimental and computational approaches, we develop and characterize
-
, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement