Research group

There is a good number of scientists working at ESAC who study star- and planet formation. The environment favors the interaction with planetary scientists involved in ESA’s mission to planets and other bodies of the Solar System and with Data Scientists interested in applying modern Machine Learning techniques to the wealth of high quality scientific data in our Science Data Archives. If you fit any of those groups and are interested to work with us, do consider applying!!

Trainees, Master and/or Ph.D. students and post-docs:

  • Want to join us? Check here for applying to an ESA Research Fellowship (Deadline in the fall) or here for applying for an ESAC Science Traineeship (Deadline in the fall).

Current collaborators:

Current students in my group:

  • Antónia Vojteková, ESA Young Graduate Trainee on Astronomical Image Denoising with U-Nets, at ESAC, in Madrid.
  • Patricio Yael Reller, ESAC Science Trainee Automatic Astronomical Image segmentation/classification, at ESAC in Madrid.
  • Pablo García Martín, engineering lead at SAFRAN, France, and Ph.D. student at UAM (Spain) on Automatic identification of asteroids and satellite trails on HST images with AutoML, in Madrid.
  • David Smith, Ph.D. student at the Centre for Doctoral Studies (CDT) at University College London (UCL) on ML-supported enhanced Gaia cross-matching and multi-wavelength source identifcation, UK and at ESAC, in Spain.
  • Fabrizio Giordano, senior software engineer at the ESAC Science Data Centre and Ph.D. student at Universidad Autónoma de Madrid (UAM) in FITS-On-Web advanced visualisation technology for Astronomical data, in Madrid.

Former ESA Research Fellows, Ph.D. students and summer trainees in our group:

Other remote or past collaborators include: