THE FELLOWSHIP

A one month stay as an IFAE researcher

The Institut de Física d’Altes Energies (IFAE) offers 9 undergraduate students the possibility of spending the summer as a physics researcher through the 8th Summer Fellowship Programme. The aim of this one-month stay is to become the first step of University students research career. Participants will have the opportunity to discover the real life of a scientist working side by side with IFAE researchers.

This programme is valuable complement to your physics education. You will have the opportunity to discover the real life of a scientist working side by side with IFAE researchers.

The Fellowship is addressed to University students of any nationality in the final years of their degrees: applications from students of the second, third and fourth year of Physics and related subjects will be accepted. To apply for the Fellowship candidates might follow the Application Process required.

The Summer Fellowship will run between 1st July 2023 and 31st July 2023 Mon-Friday 9am-6pm at the IFAE premises and the students participating will receive a modest stipend.

All participants will be under the supervision of a senior researcher of the group they choose and they will be expected to work full time in the project and accommodate to the group’s schedule.

In September 2023 the students will be invited to present the results obtained during the stay in a seminar at IFAE.


Selected students for the 2023 IFAE Summer Fellowships:

  • Lyman alpha forest: Emma Clarasó Batllori
  • Characterization of Pixel Detectors: Guillem Alvarez Bernal
  • A low-energy gamma-ray trigger for the HERD space mission: Arturo Castaño Gallardo
  • Particle Physics with the ATLAS Experiment @ the LHC: Abel Muñoz
  • Superconducting quantum computers: Leonardo Costa Lesage
  • Gravitational Waves detection with the Virgo Interferometer: Joan Grandes Umbert
  • Search for gravitational waves in the Earth-Moon system: Àlex Garcia Herranz and Claudi Vall Müller
  • Gamma-ray astronomy with the CTA_LST-1 telescope: Roger Petit
  • PIC project: AI for data analysis : Laia Vilardell Castañé