Research Fellowship in AI and Computer Vision for Heritage Preservation

2 settimane fa

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

Position Overview

Type of Engagement: Collaboration Contract

Location: Venice

ABOUT THE INSTITUTION

The Istituto Italiano di Tecnologia (IIT) is dedicated to advancing human-centered science and technology to address significant societal challenges. Our headquarters in Genoa is interconnected with 11 other centers across Italy and two facilities in the United States. We emphasize excellence in both fundamental and applied research, spanning fields such as neuroscience, humanoid technologies, robotics, nanotechnology, and materials science, fostering a truly multidisciplinary scientific environment.

YOUR RESEARCH TEAM

You will collaborate within a diverse and multidisciplinary team comprising computational scientists specializing in Machine Learning, Computer Vision, image processing, big data, and high-performance computing, alongside material engineers, chemists, physicists, and heritage specialists. The CCHT team maintains extensive partnerships with other IIT research lines focused on AI and computer vision, and you will have access to IIT's advanced high-performance computing infrastructure.

KEY RESPONSIBILITIES

  • Develop methodologies utilizing artificial intelligence algorithms tailored for historical glass artifacts to monitor surface cracking phenomena.
  • Create object detection and semantic segmentation techniques for the automated identification of crack progression in glass items.
  • Collaborate with CCHT researchers on the EU-funded GoGreen project, aimed at promoting conservation practices rooted in sustainable principles.
  • Travel to partner research facilities may be required, with durations varying based on project needs.

ESSENTIAL QUALIFICATIONS

  • Master's degree in computer science or a related discipline, with a focus on Computer Vision and Machine Learning (completed or nearing completion).
  • Proven experience in developing Computer Vision and/or Machine Learning methods for change or anomaly detection in time series imagery.
  • Fluency in English, both written and spoken.

DESIRABLE SKILLS

  • Experience with Deep Learning frameworks such as PyTorch or TensorFlow.
  • Familiarity with unsupervised and semi-supervised anomaly detection techniques.
  • Experience in handling and processing microscopy or medical imagery.
  • A solid publication record in recognized Computer Vision and Machine Learning conferences or journals.

COMPENSATION AND BENEFITS

  • Competitive salary aligned with international standards.
  • Private health insurance coverage, contingent on role and contract.
  • A variety of staff discounts.
  • Potential tax deductions for eligible candidates working abroad.

WHAT WE OFFER

  • An inclusive and diverse environment that values equality and welcomes individuals from all backgrounds.
  • Opportunities for interdisciplinary collaboration and knowledge exchange within our labs.
  • Support for relocation processes through a dedicated team.
  • A nurturing atmosphere for entrepreneurial-minded individuals seeking to develop their ideas.
  • A culture that emphasizes integrity, courage, social responsibility, and inclusivity, guiding our mission to enhance societal well-being.

If you are passionate about making a difference through your work, we encourage you to consider this opportunity.

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