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# Job offer

- **Company:** Fundació Institut d'Estudis Espacials de Catalunya
- **Location:** Castelldefels, Spain
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Artificial Neural Networks, Python (Programming Language), LaTeX, Static Timing Analysis, Transfer Learning, Autoencoders, Network Optimization
- **Published:** October 11, 2026
- **Apply:** https://euraxess.ec.europa.eu/jobs/467514

## About the Role

Master Degree or equivalent, + Minimum degree of master in physics or astrophysics, During the selection process, the following merits will be assessed: (the total of all merits must not exceed 20 points).

 1. Experience working with XSPEC (5 points).
 2. Experience in data analysis (3 points).
 3. Experience using Python and LaTeX (2 points).
 4. Experience with probabilistic methods and artificial intelligence (5 points).
 5. Experience presenting scientific results (2 points).
 6. Proficiency in written and spoken English (3 points).

Languages
ENGLISH

## Description

The IEEC is seeking a predoctoral researcher to analyse data from Fermi, Chandra, NuSTAR, XMM-Newton, and XRISM, and to develop software implementing artificial intelligence tools for the spectral and timing analysis of X-ray and, potentially, infrared data.

The selected candidate will be responsible for the following tasks:

 1. Accessing certain non-public datasets, such as Chandra data during the first-year proprietary period, through our collaboration with the Harvard-Smithsonian Center for Astrophysics.
 2. Analysing data from Chandra, NuSTAR, XMM-Newton, XRISM, and Einstein Probe, with a particular focus on black hole X-ray binaries (BHXRBs) and active galactic nuclei (AGNs), using data-reduction and analysis tools, especially Xspec.
 3. Developing artificial intelligence tools for the spectral and timing analysis of X-ray data, using frameworks such as pytorch to build neural networks, with an emphasis on autoencoders, transformers, simulation-based inference, transfer learning, and neural-network optimisation.
 4. Applying for observing time on telescopes operating at optical, infrared, and radio wavelengths, where necessary, to complement the scientific analysis.
 5. Publishing the results in scientific journals.
 6. Providing occasional support with data-acquisition activities using the Raman lidar currently being built by the group., Initially, a verification of the requirements of participation will be carried out and a first selection of candidates will be made based on the documents contributed. Next, if necessary, the shortlisted candidates may be called to a personal interview to expand the detailed information in the curriculum and assess aspects related to professional competences.

The evaluation committee for this procedure will consist of:

a) The Principal Investigator of the IEEC High- and Very-High-Energy Astronomy Project, or a person delegated by them.

b) Senior Researcher of the IEEC High- and Very-High-Energy Astronomy Project, or a person delegated by them.

c) Senior Lecturer at the UAB, or a person delegated by them.

Interested parties must have the original certificates accrediting the education and work experience mentioned in the CV and must present them if requested.

In compliance with the LISMI (Law for the Social Integration of the Disabled), the IEEC will consider reservations for candidates who certify a disability equal to or greater than 33%, provided they are suitable for the performance of the functions to be covered.
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