Information Engineering and Computer Science

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Academic year 2022/2023
Department of Information Engineering and Computer Science
Università di Trento
EQF level: 8
38° cicle
Field of study: engineering and engineering trades information and communication technologies (icts)
Place of teaching
trento (TN), italy
Duration of the course
Nov 2022 - Oct 2025
Attendance methods
Full time
Languages in which the course is held
English
Deadline (Expired)
06 September 2022
Cost
Free course
Scholarships
49 
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Course contents

Curricula:

1) Computer Science
2) Telecommunications

The Doctoral Programme in Information Engineering and Computer Science operates within the Department of Information Engineering and Computer Science.
The doctorate programme delivers the skills necessary to conduct advanced research at universities, public bodies, or private organizations for the purpose of advancing scientific and technological progress and creating a managerial class with a high-level professional culture and a corresponding international openness. The specific objective of the doctorate programme is to train professionals able to develop high-quality and innovative information and telecommunication systems addressed to solving complex problems. It also pursues the goal of enhancing the doctoral students’ entrepreneurial abilities by furnishing specific training and opportunities to undertake internships. In general, professional growth is fostered within the following various areas of interest: Cyber Security; Data Intelligence; Deep and Structured Machine Learning; Embedded Intelligence and Robotics Systems; Language Speech and Interaction; Machine Learning and Intelligent OptimizatioN; Multimedia Signal Processing and Understanding; Next Generation Networks; Quantum Information and Computing; Remote and Distributed Sensing; Signal Processing and Recognition; Social Informatics; Software Engineering and Formal Methods; Systems and Networks.

The Doctoral Programme in Information Engineering and Computer Science encourages transdisciplinary programmes to pursue the promotion of cross-disciplinary research within the PhD programme, the training of PhD students with cross-disciplinary skills and the increase of collaborations with the other institutions.

The available transdisciplinary programmes are:
- “Space Data Science and Technology”, in collaboration with the Doctoral Programme in Physics (UniTrento);
- “Quantum Science and Technologies”, in collaboration with the Doctoral Programmes of UniTrento, in: Physics; Mathematics; Materials, Mechatronics and Systems Engineering; Civil, Environmental and Mechanical Engineering.
Page of the course on the University's website

Teaching

Place of teaching
trento (TN), italy
Duration of the course
Nov 2022 - Oct 2025
Attendance methods
Full time
Compulsory attendance
Full Time
Languages in which the course is held
English

Admission requirements

Type of degree required
2nd Level Degree
Field of study
information and communication technologies (icts), engineering and engineering trades
Foreign language skills
English

Admission

Deadline
06 September 2022
Available places
52
Admission
Public selection
Cost
Free course
Scholarships
49
Of the 49 scholarships, 39 are on reserved topics. Some positions have furthermore been offered within the National Recovery and Resilience Plan (NRRP). The number of places and scholarships available may be subject to change until the end of the selections.

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Notes
To participate in the selection see at:
https://www.unitn.it/en/ateneo/1924/announcement-of-selection (first call)
https://www.unitn.it/en/ateneo/1943/announcement-of-selection-second-call (second call)
Course venue: TRENTO
Other editions of the same course
Academic year edition 2023/2024Academic year edition 2021/2022Academic year edition 2020/2021

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