Position ID:
Position Title:
Postdoct position at the ETH Zurich, on noise optimization, detector simulation and global fit for LISA
Position Type:
Postdoctoral
Position Location:
Zurich, Zurich 8092, Switzerland
Subject Areas:
Appl Deadline:
2022/12/31 11:59PM
finished (2022/11/29, finished 2023/07/01, listed until 2023/05/29)
Position Description:
We invite applications for a postdoctoral researcher to work on the architecture of a global fit pipeline for the detection and parameters estimation of gravitational-wave (GW) signals with the Laser Interferometer Space Antenna (LISA). The global fit for LISA performs signal detection and parameter estimation for a massive amount of GW sources together, including binary systems, merging supermassive black holes binaries, stochastic signals from the primordial universe and confusion noise from the superposition of numerous unresolved sources. The activity also includes the development of instrument simulations, forward modelling and noise subtraction procedures for the LISA observatory. A PhD in Physics, applied Mathematics or equivalent experience is required. Experience in parameters estimation and / or signal recovery in noise is a plus. The successful applicant will be hosted at the Institute of Geophysics of the ETH Zurich, will work with Prof. Domenico Giardini’s group and will participate to the activities of the LISA Consortium. The group at the ETH Zurich is active both on instrumentation development and on data analysis for the LISA mission. Prof. Domenico Giardini is principal investigator of the GRS Front-end Electronics (the Swiss contribution to LISA). The initial appointment will be for three years, with the possibility of an extension for an additional year.
The review of applications will start immediately and will continue until 31/12/2022 or until the position is filled.
This position is part of GW-Learn, a multidisciplinary research program on Gravitational-Wave (GW) science, across Swiss universities. GW-Learn aims at developing techniques, theories, algorithms, and simulations that will allow for optimal knowledge acquisition from the next-generation GW observatories, such as the Einstein Telescope (ET) and the Laser Interferometer Space Antena (LISA). The successful candidates will have the opportunity to work with a team of world-leading experts in GW astrophysics, Machine Learning, GW data analysis, Cosmology, Fundamental Gravity, and Experimental Physics, including Profs. Tassos Fragos, Michele Maggiore, Corinne Charbonnel, Antonio Riotto, and Steven Schramm from University of Geneva, Profs. Lucio Mayer and Philippe Jetzer from the University of Zurich, Profs. Thomas Hofmann and Domenico Giardini from ETH-Zurich, Dr. Elena Cuoco from the European Gravitational Observatory (EGO), and Dr. Jonathan Gair from the Max-Planck Institute for Gravitational Physics (Albert Einstein Institute)