Postdoctoral Position in Multimodal and Generative Artificial Intelligence for Biomedical Imaging an

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79yzcb

Commitment & contract 12 months
Location Genoa (Italy)
Step into a world of endless possibilities, together let's leave something for the future At the Italian Institute of Technology (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 You will be working in a multicultural and multi-disciplinary group, where junior and senior scientists collaborate, each with their expertise, to carry out a scientific activity with shared research goals. The research focuses on fundamental AI topics from methodological and theoretical perspectives, yet functional to tackle a number of applications and actual case studies related to several domains.
The Artificial Intelligence for Good (AIGO) research unit is coordinated and led by prof. Vittorio Murino.
Specifically, AIGO research is centered on the development of advanced machine learning and deep learning methodologies for learning from complex, multimodal, and imperfect data, with particular emphasis on biomedical and healthcare-related applications. AIGO investigates learning paradigms under limited, noisy, or biased supervision, including unsupervised, semi-supervised, and self-supervised

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79yzcb