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Thecnological development and preparation for the scientific exploitation of Athena X-IFU

Centro/Institution: 
University of Alicante Institute of Physics Applied to Sciences and Technologies
Tipo/type: 
Postdoctoral
País/Country: 
Spain
Fecha inicio solicitud: 
Vie, 10/02/2023
Fecha límite solicitud: 
Jue, 23/02/2023

Descripción/Description: 

Postdoc offer 1: Development of the scientific simulator for the X-ray Integral Field Unit (X-IFU) instrument on board the X-ray telescope Athena (European Space Agency).

Goal: contribute to the development of the X-IFU science simulator. The tasks will include (but will not be limited to):

  • Code optimization,
  • Parallelization and implementation in Graphical Processing Units (GPUs).
  • Implementation of the detector Physics (absorbers, crosstalk, background, etc)
  • Adaptation to other X-ray missions with high resolution X-ray spectrometers
  • Performing complex simulations for specific science cases
  • Contribution to the Ground Segment software of X-IFU instrument
  • Conduct X-ray astrophysics research

Postdoc offer 2: Development of advanced analysis tools for the X-ray Integral Field Unit (X-IFU) instrument on board the X-ray telescope Athena (European Space Agency).

Goal: contribute to the development of advanced tools for the analysis of X-IFU instrument spectra. The tasks will include (but will not be limited to):

  • Development of machine learning techniques, neural network techniques to fit high resolution X-ray spectra and extract physical properties of the emitting plasma
  • Development of fast optimization algorithms to fit high resolution X-ray spectra
  • Contribution to the Ground Segment software of X-IFU instrument
  • Conduct X-ray astrophysics research

 

Place: University of Alicante, Spain

Duration: 1 year, starting early 2023 (~ March) and renewable up to June 2025

Candidates:

  • Must hold a Doctorate in Physics, Mathematics or Engineering.

Special consideration will be given to candidates with:

  • Experience in X-ray astrophysics data analysis
  • Knowledge of advanced programming languages (Python, Slang, etc.)
  • Knowledge of Machine Learning and Neural Network techniques
  • Experience in the use of mathematical methods
  • Good level of English
  • Availability to travel to meetings and workshops abroad

Interested candidates must follow the instructions available at the provided link. Doubts on scientific content of this offer can be sent to jmt @ ua.es

Deadline: February 23, 2023.