University of Geneva, Gravitational-Wave Science Center

Fellowship ID:University of Geneva-Gravitational-Wave Science Center-PHD2 [#24252]
Fellowship Title: PhD fellowship at the University of Geneva on Primordial black hole population inference, using gravitational waves
Fellowship Type:Academic admissions
Location:Geneva, Geneva 1290, Switzerland [map] sort by distance
Subject Areas: Gravitational Physics / data analysis, Gravitational Experiment, Gravitational Waves
Appl Deadline:2023/03/08 11:59PMhelp popup (posted 2023/02/01, listed until 2023/04/01)

*** the listing date or deadline for this fellowship has passed and new applications are no longer accepted. ***

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We invite applications for a PhD fellowship on primordial black hole population inference with gravitational waves, with emphasis on the possibility of observing and characterising the properties of such phenomena with next-generation GW detectors, such as the Einstein Telescope (ET) and the Laser Interferometer Space Antenna (LISA).  The successful candidate will be expected to make use of Bayesian statistical methods, standard MCMC techniques, and machine learning tools for approximating high-dimensionality likelihoods.  The successful applicant will be hosted at the Department of Theoretical Physics and the Gravitational-Wave Science Center of the University of Geneva, and will work with Prof. Toni Riotto, in close collaboration with Profs. Michele Maggiore and Steven Schramm.  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 both at the University of Geneva and at other 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:
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Further Info:
24 rue du Général-Dufour 1211 Genève 4