Organized with financial support of
We are pleased to announce the EDUCADO–MWGaiaDN Training School on Astro–AI and Machine Learning, taking place 2–6 March 2026 in Ghent, Belgium.
Organized jointly by the EDUCADO and MWGaiaDN MSCA Doctoral Networks, this training school brings together leading experts in artificial intelligence, machine learning, high-performance computing, and data visualization. Over the course of five days, participants will take part in a structured programme of expert-led lectures and hands-on training sessions, providing ample opportunities for direct engagement with lecturers and peers, and fostering scientific exchange and collaboration across research environments and disciplines.
This training school is ideally suited for early-career researchers in astronomy and astrophysics, but is equally valuable for any scientist
interested in applying state-of-the-art AI/ML techniques to the exploration, analysis, and visualization of large observational,
experimental, or simulation-based datasets.
We look forward to welcoming you to Ghent for an enriching week of learning and collaboration.
The organisers
- Sven De Rijcke (UGent, Belgium) (LOC)
- Eric Muires (UGent, Belgium) (LOC)
- Nikos Gianniotis (HiTs, Germany)
- Johan Knapen (IAC, Spain)
- Anthony Brown (Univ. of Leiden, the Netherlands)
- Mario Jurić (DiRAC, USA)
- Merce Romero-Gomez (ICCUB, Spain)
- Shuyu Wang (Univ. of Leiden, the Netherlands)
- Konstantinos Zafeiropoulos (Univ. Coimbra, Portugal)
- Subhadeep Sarkar (ICCUB, Spain)
- Dahimar Sanchez (IAC, Spain)
Conference information
Application
Application for this event is currently open.
