finished (2023/02/01, finished 2023/09/09, listed until 2023/04/30)| Fellowship ID: | University of Geneva-Gravitational-Wave Science Center-PHD1 [#24212] |
| Fellowship Title: | PhD fellowship at the University of Geneva on the formation of intermediate-mass black holes across cosmic time |
| Fellowship Type: | Academic admissions |
| Location: | Geneva, Geneva 1290, Switzerland [map] |
| Subject Areas: | Astrophysics / Astrophysics and Gravitational Physics, Computational Astrophysics |
| Appl Deadline: | 2023/03/08 11:59PM finished (2023/02/01, finished 2023/09/09, listed until 2023/04/30) |
| Description: |
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We invite applications for a PhD fellowship on the formation of intermediate-mass black holes across cosmic time and the possibility of observing them with the next-generation GW detectors, such as the Einstein Telescope (ET) and the Laser Interferometer Space Antena (LISA). The succesful candidates is expected to work with a suite of astrophysical simulation tools, ranging from stellar structure and evolution, to hydrodynamics and gravitational dynamics. Further expertise on machine learning are welcome. The successful applicant will be hosted at the Astronomy Department and the Gravitational-Wave Science Center of the University of Geneva and will work with Prof. Corinne Charbonnel, and in close collaboration with Prof. Tassos Fragos and Prof. Prasenjit Saha (from the University of Zurich). She/he will also collaborate with other postdoctoral researchers and PhD students to be hired as part of the GW-Learn research program framework, who will be based at the Institute of Machine Learning at ETH Zurich (Prof. Thomas Hoffman's group). The review of applications will start immediately and will continue until 8/3/2022 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). 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: https://jobregister.aas.org/ad/9216a174 |
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