Space AI & On-Board Edge Analytics Researcher

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

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