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Type

PhD Programme

Access mode

Programmed

Length

3 years

Location

Modena

Language

English

Department

"Enzo Ferrari" Department of Engineering

Course presentation (FOR PhD course/Specialisation school ONLY)

The ICT PhD program aims to contribute to sustainable scientific and technological development, improving society's quality of life, safety, and environmental impact. It prepares young researchers with high capacities for research and innovation in all aspects of Information Engineering, enabling them to effectively assume significant technical roles and organizational responsibilities within the sector. The program offers foundational and technology-focused scientific training aimed at studying and conceptualizing new ideas, methodologies, and technologies. It integrates electronic, informatics, and communication aspects holistically, rooted in deep specialist competencies applicable to developing new technologies in priority sectors outlined in European, national, and regional research programs.

Key areas of focus include digital software and hardware technologies, Artificial Intelligence, Industry 4.0, and Big Data, extensively represented by the expertise and activities of faculty members. The doctoral program boasts an internationally diverse faculty, actively involved in program organization and responsible for student training. The program emphasizes internationalization, supported not only by the quality of the international faculty but also through research agreements with foreign universities, offering students opportunities for research abroad in international labs and the possibility of earning dual degrees.

The program is structured into three curricula:

Computer Engineering and Science: Encompasses various research areas in Computer Science and Computer Engineering, covering foundational theory (such as software fundamentals, software engineering, operating systems, computer networks, databases, and information systems) as well as advanced theories and emerging applications (including Artificial Intelligence, Machine Learning, Deep Learning, Internet of Things, sensor networks, computer vision, multimedia, adaptive software systems, future internet, Cybersecurity, Big Data management and analysis techniques, digital technologies for Industry 4.0, HPC, and edge, fog, and cloud computing).

Electronics and Telecommunications: Focuses on foundational principles and cutting-edge applications in electronics, electronic devices, electronic measurements, telecommunications, electrical engineering, electromagnetism, electric machines and drives, photonics, and automation. It emphasizes hardware technologies enabling broad application domains such as electronics, photonics, and energy-efficient communications for IoT, radar systems, intelligent sensing for the Internet of Health, robotics and agrifood, electronic and circuit devices based on conventional and emerging materials (semiconductors), for intelligent power and energy management, in both industrial and new computing paradigms, quantum and approximate computing.

Industrial Applications of ICT: Covers all aforementioned scientific disciplines aimed at meeting industrial innovation needs and labor market demands, including developments up to high TRL. This curriculum is part of the E4E doctoral school, which includes other engineering PhD programs at the university, as well as a PhD in economics and business organization.

The program's educational activities are concentrated in the first two years, with the average number of teaching hours calculated over this period. The third year focuses on research activities culminating in the doctoral thesis. Students have a wide selection of courses taught by prestigious international faculty members.

Overall, the program aims to have a significant impact on regional and national industrial fabric through its training offerings, evidenced by the increasing number of industrial doctoral positions each cycle and funding through scholarships from prestigious companies. Additionally, a new form of doctoral course associated with companies engaged in research and development has been activated, involving a member from an industrial organization in the faculty (DM 226/2021).

Info

Department: "Enzo Ferrari" Department of Engineering
Didactic method: PRESENCE
PhD Coordinator

PhD Course website

More information

Italian second cycle master's degree (“Laurea Magistrale”, under D.M. 270/04 or “Laurea Specialistica”, under D.M. 509/99) or Italian degree obtained prior to D.M. 509/99 (the previous Italian regulations) or Second cycle Master's degree obtained abroad, equivalent to the above-mentioned Italian degrees and recognized as suitable for the admission to PhD program.
Further information available in the Call.

The program offers vast career opportunities across all sectors, particularly in research institutions, public and private RTOs (Research and Technology Organizations), national and international universities, innovative spin-offs/start-ups, technical design firms, engineering consulting, and innovation management companies.

Industry partners ensure the technological value of research outcomes, while the university guarantees their innovation and scientific originality. The field of Computer Science provides employment opportunities across all sectors, while Telecommunications mainly cater to advanced tertiary sectors. Electronics and Automation are pivotal in strategic manufacturing and biomedical districts.

Employment prospects are monitored through direct questionnaires and AlmaLaurea. The quality of graduates is evidenced by their scientific output, contributions to research contracts/collaborations, and subsequent recognition upon employment.

Doctoral candidates develop skills in analyzing, processing, and synthesizing innovative solutions to scientific and technological challenges, which are strategic across all employment sectors (as demonstrated by the careers of former students).

The program offers high-level education in English and a variety of complementary activities (language training, research management, public presentation at PhD-Day, networking, use of cutting-edge tools, etc.) that equip doctoral candidates to competently navigate a continuously evolving job market.