28-31 March 2023
The G2Net COST action is organizing the 4th Training School on Gravitational Waves, Geophysics and Machine Learning in Thessaloniki, Greece. Our school will provide training in the exciting field of Gravitational Wave Astronomy, in which the application of machine learning (ML) techniques is rapidly evolving. The training modules are designed to provide students with a strong foundation in the fundamental concepts of machine learning techniques, as well as the practical skills and knowledge needed to apply these in the field of Gravitational Wave Astronomy, including the analysis of seismic noise. The school will be organized in a hybrid mode, with in-person attendance at the Aristotle University of Thessaloniki and remote attendance through live zoom sessions.
This training school is targeted towards PhD students and post-docs in Gravitational Wave Astronomy and Geophysics. Advanced MSc/BSc students are also welcome to apply.
Lecture Modules:
- Machine Learning
- Deep Learning
- Gravitational Waves
- Seismic Noise
- Control Systems
Individual topics include rapid GW detection using neural networks, accelerating surrogate GW models with machine learning and denoising using machine learning. There will be hands-on exercise sessions using jupyter notebooks. Please bring your laptops.
The School will be organized in a hybrid mode, with in-person attendance (limited to about 30 persons) and remote attendance. Registration is required for both modes of participation. There are no registration fees.
Financial Support
Support for a limited number of students will be provided through the G2Net COST action (details to be announced, soon).
Scientific and Organizing Committee
Cuoco, ElenaNousi, Paraskevi
Iosif, Panagiotis
Passalis, Nikolaos
Pesios, Dimitrios
Petre, Luigia
Sasli, Argyro
Stergioulas, Nikolaos
Tefas, Anastasios
All the info, including registration, can be found at: https://indico.physics.auth.gr/event/14/
