ERASMUS+ INTERNSHIP in COMPUTATIONAL SCIENCES - Deep Learning models for automatic writer/hand identification
Italy
Commitment & contract: Full-time internship within theErasmus+ Traineeship programmeforundergraduate studentsenrolled ina master's degree programme;the position requires a time commitment of40hours/week (tempo pieno).
Location:Center for Cultural Heritage Technology, Roncade (Treviso), Italy
Duration:6 months
Start date:15/01/2027 (flexible)
Compensation:No salarygrantedby IIT(applicants must rely onfunding from their University's Erasmus+ programme)
Step into a world of endless possibilities, together let's leave something for the future!
At IIT, we are committed to advancing human-centered Science and Technology to address the most urgent societal challenges of our era.
We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience.
Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation.
With us, your curiosity will know no bounds.
We are dedicated to providing equal employment opportunities and fostering diversity in all its forms,

creating an inclusive environment.
We value the unique experiences, knowledge, backgrounds, cultures, and perspectives of our people.
By embracing diversity, we believe science can achieve its fullest potential.
THE ROLE
Duringyour internshipyou will work on a project in the Cultural Heritage Technologies ( ) group, coordinated byArianna Traviglia.
This group focuses on Cultural Heritage Technologies: Automatic Document Analysis.
Your activity will comprise
State-of-the-art models report preparation
Data understanding
Software development of automatic writer/hand identification
And will allow you to develop competences in
Software management (e.g., Git use)
Data preparation to train Deep Learning models
Use of PyTorch and/or HuggingFace
ESSENTIAL REQUIREMENTS
To be registered as a student in an undergraduate master's degree programme inComputer engineering, Computer Scienceor a cognate fieldofstudy for the entire duration of your stay at IIT
To have a good command ofspoken and written English
To rely onfunding from your University's Erasmus+ programme
Application's deadline: August 30th, ****
To discover more about life at IIT, visit the dedicated section here:
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Erasmus+ Internship: Deep Learning For Cultural Heritage

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