Scheda del corso
- TIPO DI CORSO
Dottorato di Ricerca - SEDE
Bari - DURATA
3 anni - AMMISSIONE
Previo superamento del concorso - CORDINATORE
Prof.ssa Mariagrazie Dotoli
• The DAUSY initiative was promoted by SIDRA (the Italian Society of Professors and Researchers in Automation)
- Promote technology transfer especially in emerging industrial sectors for the use of autonomous systems.
- Involve the industry in directing research lines (win-win scientific excellence versus technology transfer).
- Promote internship periods in companies for Ph.D. students.
- Promote both scientific and managerial skills to facilitate the evolution of technologies towards mature solutions for the industry.
- Foster the entrepreneurship of Ph.D. students by envisaging the creation of innovative start-up
- Design and develop AS, with applications to smart manufacturing, autonomous vehicles, smart grids, robotics, and many more engineering fields.
- Develop smart control algorithms (e.g., AI-enabled control, data-driven control, vision-based control) for smart AS environments such as smart cities, autonomous vehicles and mobile robots, smart grids, sustainable mobility systems, smart buildings, and smart homes.
- Develop testing platforms for emerging techniques to advance engineering AS applications (e.g., cyber-physical systems, digital twin techniques).
- Design automated and high-performance industrial systems, studying issues related to distributed control and supervision for systems composed of networks of sensors, actuators, and collaborative robots.
- Design and operation of AS to guarantee their reliability and security, ensuring their proper functioning even under uncertainty (robustness), monitoring and predicting failures, ensuring that confidentiality and privacy requirements are not violated, countering both physical and cyberattacks, and designing secure processes in environments where automated and human systems interact.
Language requirements
If English is not your native language, you need to demonstrate a degree of proficiency corresponding, at least, to the B2 level of the Common European Framework of Reference for Languages (CEFR). Knowledge of Italian is preferred but not required.
Specific requirements
Candidates must hold an M.Sc. degree, preferably in Systems and Control, Electrical Engineering, Artificial intelligence (AI), Mechanical Engineering, or related subjects. Moreover, candidates should fit the following profile:
- Being a talented and enthusiastic young researcher;
- Strong background in the fields of control systems;
- Strong academic background and rich experience in engineering systems, embedded systems, and system design;
- Good programming skills in MATLAB/Simulink and/or Python;
- Being a team player with excellent communication and cooperation skills, in a dynamic and multi-disciplinary project-driven environment;
- Creativity and ambition, hard-working and persistent mindset;
- Ability to independently organize your work;
- Good scientific writing skills.
Prof. Mariagrazia Dotoli, Politecnico di Bari
mariagrazia.dotoli@poliba.it
Personal webpage
Curriculum Vitae (English)