Four GW-Learn PhD Fellowships in gravitational-wave astronomy, astrophysical simulations, cosmology, and machine learning.

We invite applications for four PhD fellowships as 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 Antenna (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, Toni Riotto, and Steven Schramm from University of Geneva, Profs. Lucio Mayer, Prasenjit Saha, 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, and Dr. Jonathan Gair from the Max-Planck Institute for Gravitational Physics (Albert Einstein Institute). 

Specifically, we seek talented candidates to pursue their PhDs in the following topics: 

• "Intermediate-mass black hole formation across cosmic time"
  The successful candidate 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 collaboration with Prof. Tassos Fragos and Prof. Prasenjit Saha (from the University of Zurich). Applications for this position can be submitted in the link below, where one can also find additional information: https://academicjobsonline.org/ajo/jobs/24212
   
• "Primordial black hole population inference, using gravitational waves"
  The successful candidate 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. Antonio Riotto and Prof. Steven Schramm. Applications for this position can be submitted in the link below, where one can also find additional information: https://academicjobsonline.org/ajo/jobs/24252
   
• "Predictive modelling of gravitational-wave transient sources with third-generation detectors"
  The successful candidate will be hosted at the Department of Particle and Nuclear 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). Applications for this position can be submitted in the link below, where one can also find additional information: https://academicjobsonline.org/ajo/jobs/24253
   
• "Machine-learning emulators of astrophysical simulations: from stellar to cosmological scales"
  The successful candidate will be hosted at the Institute for Machine Learning of ETH-Zurich and will work with Prof. Thomas Hofmann and in close collaboration with Prof. Tassos Fragos (from University of Geneva) and Prof. Lucio Mayer (from University of Zurich). Applications for this position can be submitted in the link below, where one can also find additional information: https://academicjobsonline.org/ajo/jobs/24254

Applications are only accepted through AcademicJobsOnline.org using the corresponding links for each position listed above. Applications should consist of (i) a cover letter, (ii) a statement outlining the candidate’s past research experience (iii) a CV (including any publications), and (v) two letters of reference that should be uploaded directly to the online system. The review of applications will start immediately and will continue until 8/3/2023 or until the positions are filled.

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.