Basic Space Research Programme
Organisation/Company INAF OAS Research Field Astronomy Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 13 Oct 2026
- 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No Offer Description The project aims to carry out the following research activities:a. Development of Artificial Intelligence and Machine Learning algorithms for the on-board analysis of X-ray/gamma-ray datab. Optimization and porting of algorithms to edge computing/on-board computing architecturesc. Participation in the integration, testing, and validation of the analysis software system and experimental developmentd.
Support for analysis activities Ph D in Astronomy, Physics, or Engineering, or an equivalent qualification obtained abroad;alternatively, a Master's degree or single-cycle degree in Physics, Astrophysics, or Astronomy, combined with a scientific-professional background suitable for conducting research petence in the following areas is also required:a. Machine Learningb.
Python Italy Eligibility of fellows: country/ies of residence: OTHER Eligibility of fellows: nationality/ies: OTHER Selection process The selection will be based on an assessment of the candidates' CVs, publications and qualifications, as well as on a possible interview
- 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No Offer Description The project aims to carry out the following research activities:a. Development of Artificial Intelligence and Machine Learning algorithms for the on-board analysis of X-ray/gamma-ray datab. Optimization and porting of algorithms to edge computing/on-board computing architecturesc. Participation in the integration, testing, and validation of the analysis software system and experimental developmentd.
Support for analysis activities Ph D in Astronomy, Physics, or Engineering, or an equivalent qualification obtained abroad;alternatively, a Master's degree or single-cycle degree in Physics, Astrophysics, or Astronomy, combined with a scientific-professional background suitable for conducting research petence in the following areas is also required:a. Machine Learningb.
Python Italy Eligibility of fellows: country/ies of residence: OTHER Eligibility of fellows: nationality/ies: OTHER Selection process The selection will be based on an assessment of the candidates' CVs, publications and qualifications, as well as on a possible interview