The programme offers four paths that focus on different aspects of contemporary control system engineering, as well as the opportunity to create your own:
1 – Robotics: models and control techniques for single or groups of interacting cyber-systems;
2 – Machine Learning: artificial intelligence and statistical methods for automatic learning dynamical models and the optimal ways to control them;
3 – Industrial Automation: methods and technologies used in state-of-the-art industrial automation systems;
4 – Complex Systems: advanced modeling and control techniques for engineering and research in complex physical, biological and information processing systems.
The occupational opportunities are in research and development, advanced design, plan, and management of complex systems, both as freelance professionals and as employees in private and public companies. In particular, occupational opportunities are in electrical and electromechanical engineering companies, chemical companies, aero-spatial companies and, more generally, service providers and managing companies requiring design and development of automatic control systems.
- A minimum three-year undergraduate degree (or equivalent) in Engineering or related fields (e.g. Mathematics) is required, with proven skills in Information Engineering, Physics, and Mathematics
- Minimum GPA equivalent to Italian 84/110
- English language: B2 level (CEFR) or equivalent
About the School
The University of Padova is one of Europe’s oldest and most prestigious seats of learning; it is a multi-disciplinary university that aims to provide its students with both professional training and a ... Read More