ERASMUS+ INTERNSHIP in COMPUTATIONAL SCIENCES
Pubblicato il 13-08-2026 - Istituto Italiano Di Tecnologia in Italia
Organisation/Company Istituto Italiano di Tecnologia Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 30 Aug 2026 - 00:00 (UTC) Country Italy Type of Contract Other Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Commitment & contract: Full-time internship within the Erasmus+ Traineeship programme for undergraduate students enrolled in a master’s degree programme; the position requires a time commitment of 40 hours/week (full-time).
Location: Center for Human Technologies, Genoa, Italy
Duration: Flexible, 3 or 6 months (3 months only for non-EU citizen)
Compensation: No salary granted by IIT (applicants must rely on funding 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
During your internship you will work on a project in the Computational Modelling of Nanoscale and biophysical systems group