Research Assistant Position in Extragalactic Radio Astronomy

Sociedad Española de Astronomía; Madrid; Presencial; EUR 20.000 - 28.000; Jornada completa

Descripción de la vacante

Sociedad Española de Astronomía invites applications for a Research Assistant position in Extragalactic Radio Astronomy. The successful candidate will join the Cosmic Magnetic Fields project at UCM, studying radio galaxies, supermassive black holes, and the cosmic web using LOFAR and ASKAP data.

Applicants should hold a degree in Physics, Astrophysics, Data Science, or related fields and be prepared to pursue PhD fellowships under Dr. O’Sullivan.

Formación

• Requires strong academic record and programming experience (Python preferred).
• Interest in observational astronomy, data analysis, machine learning, or astrophysical modelling.

Responsabilidades

• Join the Cosmic Magnetic Fields research programme at UCM.
• Investigate radio galaxies, supermassive black holes and their environments, cosmic magnetic fields, and the large-scale cosmic web using LOFAR and ASKAP data.
• Prepare for and exploit early SKA science observations under supervision of Dr. O’Sullivan.
• Contribute to analysis and classification of radio sources and host galaxies using machine learning.

Conocimientos

Programming in Python

Data analysis

Machine learning

Astrophysical modelling

English B2

Educación

Bachelor's degree in Physics/Astrophysics/Data Science

Descripción del empleo

Research Assistant Position in Extragalactic Radio Astronomy

The successful candidate will join the Cosmic Magnetic Fields research programme at UCM (https://guaix.ucm.es/home/science/cosmic-magnetic-fields), investigating radio galaxies, supermassive black holes and their environments, cosmic magnetic fields, and the large‑scale cosmic web using observations from the LOFAR and ASKAP radio telescopes. The project also offers the opportunity to help prepare for and exploit early science observations from the Square Kilometre Array (SKA), the world’s largest radio telescope. Research may also involve machine‑learning approaches for the identification and classification of radio sources and their host galaxies. The candidate will join the GUAIX research group, an international, collaborative, and supportive team working across a broad range of astrophysics topics.

The position is intended for a graduate in Physics, Astrophysics, Data Science, or a related discipline who is interested in pursuing a PhD in astrophysics. The successful candidate will be expected to apply for competitive PhD fellowships under the supervision of Dr. O’Sullivan during the contract period.

Candidates should have a strong academic record, programming experience (Python preferred), and an interest in observational astronomy, data analysis, machine learning, or astrophysical modelling. English language proficiency of at least B2 level is required.

Informal enquiries are welcome and can be directed to: [e-mail]

Applications from all backgrounds are encouraged.