University of Padua

Overview

The PhD in Brain, Mind and Computer Science (BMCS) at the University of Padua is a unique interdisciplinary program that integrates neuroscience, cognitive science, computer science, and social perspectives. This doctoral program is designed to offer students a comprehensive research experience, allowing them to explore the intersection of these fields through a personalized research path. Students can choose between two distinct curricula, each providing access to expert supervision across both disciplines.

What you'll study

Curricula and supervision

• Students will be affiliated with one of two specialized curricula.
• Each student will have a primary supervisor from their chosen curriculum and a co-supervisor from the alternative curriculum to enhance interdisciplinary research.
• Training activities are tailored to the individual candidate's background and specific research project.

Coursework

• Cognitive neuroscience
• Research communication and presentation skills
• Human and machine vision
• Human-computer interaction
• Experimental methodologies with human subjects
• Natural Language Processing and Text Mining
• Machine learning tools and their applications for societal challenges

Research component

• Doctoral candidates will undertake a substantial research project, initiating their work with a detailed project description as part of the application process.
• Ongoing progress will be supported through supervision and structured training activities, all aligned with the candidate's interdisciplinary research goals.

Entry requirements

Specific GRE, GMAT, or GPA grading score requirements have not been established for this program. However, candidates must prepare a comprehensive project description and a curriculum vitae as part of their application.

Career prospects

Graduates of the BMCS program will be well-equipped for a variety of career paths in academia, research institutions, and industry sectors. The interdisciplinary nature of the program prepares students to tackle complex challenges at the intersection of neuroscience, technology, and social sciences, making them valuable contributors in fields such as artificial intelligence, cognitive computing, and human-centered design.