Position Description:

We are seeking a Postdoctoral Fellow with a strong background in low surface brightness galaxies, numerical simulations in cosmology, and/or data analysis from galaxy surveys. The successful candidate will work on cutting-edge research related to the ESA ARRAKIHS Mission as well as other major galaxy surveys in which our group is actively involved, such as the ESA Euclid mission (www.euclid-ec.org), the Dark Energy Survey (DES, www.darkenergysurvey.org), The Dark Energy Spectroscopic Instrument (DESI, www.desi.lbl.gov), the Physics of the Accelerating Universe Survey (PAUS, pausurvey.org), and the Rubin Observatory (www.lsst.org).

Senior members of the group include: F. Castander, M. Crocce, P. Fosalba, and E. Gaztanaga. The eligible candidate will also have the possibility to develop independent research on different aspects of observational cosmology (galaxy clustering, galaxy formation, weak lensing, cross-correlations with the CMB, large cosmological simulations ), and participate in the H2020 LACEGAL galaxy formation network activities (www.lacegal.com).

Responsibilities:

Low Surface Brightness Galaxies: Investigate the connection between the properties of low surface brightness galaxies and the underlying dark-matter distribution and its nature.

Numerical Simulations in Cosmology: Perform and/or analyze numerical simulations of different Cold Dark-Matter scenarios (LCDM, WHDM, SIDM), as well as gravity theories (GR, f(R), etc), and study how ARRAKIHS can constrain them using the morphology of Milky Way-like galaxies and their satellite abundance.

Data Analysis from Galaxy Surveys: develop scientific pipelines to exploit data from leading galaxy surveys.

The following criteria will be assessed during the selection process:

• PhD in Astrophysics, Cosmology or a related field.
• Experience with numerical simulations in cosmology, low surface brightness galaxies, deep imaging data, data analysis from galaxy surveys
• Good knowledge of python and working with HPC environments
• Excellent communication skills in english

The following aspects will be considered desirable merits:

• Expertise in data analysis related to low surface brightness galaxies
• Experience with development and/or analysis of numerical simulations
• Expertise in software development in python and working in HPC environments

Contact:

Interested persons who meet the established requirements can send the personal curriculum in PDF format, signed as certification, with a brief description of the tasks carried out in the positions previously occupied, to the email address: RecursosHumans@ieec.cat indicating the reference "Surnames and Name – OF_IEEC_125_2023" in the subject line of the email.