University of Geneva, Gravitational-Wave Science Center

Fellowship ID:University of Geneva-Gravitational-Wave Science Center-PHD3 [#24253]
Fellowship Title: PhD fellowship at the University of Geneva on Predictive modelling of gravitational-wave transient sources with third-generation detectors
Fellowship Type:Academic admissions
Location:Geneva, Geneva 1211, Switzerland [map] sort by distance
Subject Areas: Computer Science / Machine Learning
Gravitational Physics / data analysis, Gravitational Experiment, Gravitational Waves
Appl Deadline: finished (2023/02/01, finished 2023/10/07, listed until 2023/04/01)

*** this fellowship has been closed and new applications are no longer accepted. ***

We invite applications for a PhD fellowship on predictive modelling of gravitational-wave transient sources with third-generation detectors, with emphasis on the Einstein Telescope (ET). The successful candidate will be expected to develop machine-learning-based algorithms to quickly identify impending gravitational-wave sources well in advance of the merger event, and to refine the parameter estimation for these sources as the merger approaches. The successful applicant will be hosted at the Department of Particle Physics and the Gravitational-Wave Science Center of the University of Geneva, and will work with Prof. Steven Schramm and Dr. Elena Cuoco (from the European Gravitational Observatory), with the expectation of spending a sizeable amount of time at both institutes. The selected candidate will also collaborate with other postdoctoral researchers and PhD students to be hired as part of the GW-Learn research program framework, based at multiple collaborating institutes. 

The review of applications will start immediately and will continue until 8/3/2023 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).

GW-Learn is committed to promoting diversity as a means towards the success of our missions and objectives. It is dedicated to providing a collegial, inclusive, and supportive working environment to all team members, empowering one another, and bringing excellence to our work. The hiring process and the working relationship will follow the Swiss Charter for Diversity in the Workplace adopted by our parent institutions. 

Additional opportunities within GW-Learn can be found here:

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the description.

Further Info:
24 rue du Général-Dufour 1211 Genève 4