Main Responsibilities:

  • Proactively propose new research projects where machine learning is a key element
  • Apply state-of-the-art machine learning algorithms to tackle novel problems, or to provide alternative solutions to existing tasks
  • Design innovative feature extractors
  • Select, tune and validate machine learning methods
  • Design and Prototype the proposed solutions
  • Manage collaborations with external suppliers (e.g., Universities, consultants)

Technical Requirements:

  • Knowledge on Supervised and Unsupervised Machine Learning
  • Knowledge of state-of-the-art machine learning models for classification, regression, clustering and novelty detection
  • Knowledge of Programming Language (e.g., Matlab, Python, C++)
  • Experience with the most popular machine learning platforms, such as scikit-learn, Statistical and Machine Learning Matlab Toolbox, LibSvm, etc.
  • Strong academic background with specialization in machine learning


Master Degree (PhD preferred) in Computer, Electronics, or Telecommunication Engineering.

A strong academic background with specialization in machine learning is mandatory.



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