Erasmus+ Neuroimaging Intern: fMRI Analysis & Preprocessing

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7f9uvi

Offer Description

Commitment & contract: Full-time internship within the Erasmus+ Traineeship programme for undergraduate students enrolled in a master’s degree programme, requiring a time commitment of 40 hours per week.

Location: Center for Neuroscience and Cognitive Systems, Rovereto (Trento), Italy

Duration: 6 months

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‑centred science and technology to address the most urgent societal challenges of our era. Our interdisciplinary research spans neuroscience and cognition, humanoid technologies, robotics, artificial intelligence, nanotechnology, and material sciences, empowering researchers to push the limits of knowledge and innovation. Our inclusive environment fosters diversity in all its forms, recognizing that science thrives on unique perspectives.

THE ROLE





During your internship you will work on a project in the Functional Neuroimaging group ( ) coordinated by Alessandro Gozz. This group focuses on System and computational neuroscience.

Your activity will comprise:

- fMRI image pre‑processing
- fMRI image analysis

It will allow you to develop competences in:

- Analysis of complex neuroimaging datasets

ESSENTIAL REQUIREMENTS

- Being registered as a student in an undergraduate master’s degree programme in Neuroscience, Cognitive Science or a related field for the duration of your stay at IIT
- Good command of spoken and written English
- Reliance on funding from your University’s Erasmus+ programme

Please submit your application including a detailed CV, university transcripts, cover letter, and contact details of the reference Erasmus+ Office of your University.

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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7f9uvi