We invite applications for a position as postdoctoral researcher to work on the identification and interpretation of GW signals in next-generation GW detectors, such as Einstein Telescope and LISA, with a special emphasis on overlapping signals. The goal is to advance the state of the art by developing novel machine learning methods and holistic approaches to inference. The successful applicant will be hosted at the Institute for Machine Learning in the Department of Computer Science at ETH Zurich and will join Prof. Thomas Hofmann’s lab. In addition, the succesful applicant will ahve the opportunity closely collaborate (including regular visits) with the group of Dr. Jonathan Gair at the Max-Planck Institute for Gravitational Physics (Albert Einstein Institute) The initial appointments will be for two years, with the possibility of an extension for an additional year.