Master classes

This Galileo Conference includes master classes, aligned with the following conference topics:

  • MC1: Preparation and optimization of HPC codes to Exascale
  • MC2: Edge-to-end data workflows
  • MC3: State-of-the-art in computational geosciences

Master Classes are a training event for early-career scientists. They provide the opportunity for PhD, MSc Students and early-stage post-doc researchers to present and discuss their research projects and results with senior scientists.

The Master Classes will be held in parallel, the day before the formal opening of the Conference (Day 0). Each Master Class will accommodate a maximum of 8 young researchers for a complete day of discussions and exchanges. Students will present their work in the morning (30 minute presentation) while the afternoon will be devoted to interaction with the instructors, discussions between students and instructors, and debate among the students. Day 0 will close with a chill-out event

Master class instructors

  • Session 1: Preparation and optimization of HPC codes to Exascale - Ludovic Raess (ETH Zurich)
  • Session 2: Edge-to-end data workflows - Rosa M. Badia (BSC)
  • Session 3: State-of-the-art in computational geosciences - Members of the Organising Committee

Applications for the Master Classes will be open from 14 November 2022–15 January 2023.

Interested applicants must send:

  • a 1 page CV;
  • a 1 page summary of the research to be presented

to the following e-mail address:

Acceptance to the Master Class will be announced on 1 March 2023, the same time as the announcement of accepted abstracts. Please note that the fee for master classes is separate from the conference fee.