Basic Space Research Programme (PRORIS)

Italian Ministry of Education, University and Research; Italia; In loco; EUR 35.000 - 55.000; Tempo pieno

Descrizione del lavoro

INAF OAS invites applications for a research role in astronomy focusing on developing AI/ML algorithms for on-board analysis of high-energy data and porting to edge computing architectures. The position involves integration, testing, and supporting analysis activities within a cutting-edge research environment in Italy.

The candidate should hold a PhD in Astronomy/Physics/Engineering or an equivalent qualification, with competence in machine learning and Python, to contribute to advancing

Competenze

• PhD 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 activities.
• Competence in Machine Learning and Python is required.

Mansioni

• Develop AI/ML algorithms for on-board analysis of X-ray/gamma-ray data.
• Optimize and port algorithms to edge/on-board computing architectures.
• Participate in integration, testing, and validation of the analysis software system and experimental development.
• Support analysis activities.

Conoscenze

Machine Learning

Python

Formazione

PhD in Astronomy/Physics/Engineering

Master's in Physics/Astrophysics/Astronomy + research background

Descrizione del lavoro

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 data
b. Optimization and porting of algorithms to edge computing/on-board computing architectures
c. Participation in the integration, testing, and validation of the analysis software system and experimental development
d. Support for analysis activities

PhD 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 activities.
Competence in the following areas is also required:
a. Machine Learning
b. 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