Machine Learning Engineer for Change Detection Applications

3 settimane fa


Venezia, Veneto, Italia Istituto Italiano di Tecnologia A tempo pieno

At Istituto Italiano di Tecnologia, we are seeking a highly skilled Machine Learning Engineer to join our research team focused on Change Detection Applications. The ideal candidate will have a strong background in computer science and experience in developing AI algorithms for historical glass objects.

In this role, you will be responsible for developing methodology based on AI algorithms designed for historical glass objects to monitor the diffusion of surface cracking. You will also work on object detection and semantic segmentation methods for automatic detection of cracking development on glass objects.

As a member of our team, you will collaborate with researchers in the EU-funded project GoGreen, developed in partnership with international institutions. Your work will contribute to the development of preventive and remedial conservation practices based on green principles.

The position requires proficiency in English, a strong publication record, and experience with Deep Learning algorithms and relevant platforms (PyTorch or TensorFlow). If you are passionate about AI and cultural heritage preservation, we encourage you to apply for this exciting opportunity.

Our team offers a collaborative and inclusive environment, with access to cutting-edge infrastructure and resources. We are committed to promoting excellence in research and innovation, and we believe that our team members are the backbone of our success.

As a researcher at Istituto Italiano di Tecnologia, you will have the opportunity to work on challenging projects, collaborate with international experts, and contribute to the advancement of AI and cultural heritage preservation.

Essential Requirements:
  • M.Sc in computer science or a related field with a strong background in Computer Vision and Machine Learning.
  • Documented experience in the development of CV and/or ML methods for the identification of change or anomaly detection in time series imagery.
  • Proficiency in English language (written and oral).
Additional Skills:
  • Experience on Deep Learning algorithms and relevant platforms (PyTorch or TensorFlow).
  • Experience on unsupervised and semi-supervised anomaly detection.
  • Experience in handling and manipulating microscopy/medical imagery.
  • Suitable publication record on established CV, ML conferences/journals.
What We Offer:
  • Competitive salary for international standards.
  • Private health care coverage (depending on your role and contract).
  • Wide range of staff discounts.
  • Candidates from abroad or Italian citizens who permanently work abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years.


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