We are living through an unprecedented age of observational cosmology. Major surveys — DESI, Euclid, eROSITA, 4MOST, the Vera Rubin Observatory, Simons Observatory, SPT, and GAIA — are collectively delivering the first truly large-area, multi-wavelength view of our universe. Together, they are poised to either confirm our standard cosmological model or reveal new physics lurking in its cracks, including tantalising hints from the Hubble tension and possible evolution of dark energy.
Capitalising on this moment requires more than access to big data — it demands researchers equipped with modern analysis skills, from statistical methods to machine learning tools built for large datasets. As the volume and complexity of cosmological data grow at a remarkable pace, training the next generation of researchers to work effectively with these datasets has become a global priority.
This two-week intensive workshop brings together leading experts and early-career researchers from around the world for hands-on training with real survey data, end-to-end project experience, and direct mentoring in small groups. Participants will gain practical skills in analysing data, simulations, theory and leave equipped to contribute meaningfully to ongoing and future international survey collaborations.
The workshop concludes with a three-day scientific meeting, fostering new collaborations and deeper connections across the global cosmology community.
Eligibility criteria: Open to graduate students, postdocs, and early-career researchers worldwide. Applicants should have basic familiarity with Python and statistics. Preference will be given to graduate students actively engaged in thesis research beyond coursework, particularly those working on observational or data-driven projects in cosmology or related fields.
ICTS is committed to building an environment that is inclusive, non-discriminatory and welcoming of diverse individuals. We especially encourage the participation of women and other under-represented groups.
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