PhD Course (D.M.45)
Information Engineering and Computer Science

COURSE SUMMARY
The PhD programme in Information Engineering and Computer Science, an evolution of the previous programme in Computer Science and Telecommunications, aims to train young professionals capable of developing innovative and high-quality IT and telecommunications systems to address complex problems.
The programme emphasises entrepreneurial skills among doctoral candidates and fosters their professional growth through specialised training and opportunities for practical experience. The fields of study and research are varied and diverse, with the programme also encouraging transdisciplinary training initiatives and collaborations with other organisations as well as educational and research institutions.
The course in brief
OVERVIEW
The programme offers two tracks:
- Computer Science
- Telecommunications
and two transdisciplinary programmes:
- Space Data Science and Technology: in collaboration with the PhD programme in Physics at the University of Trento;
- Quantum Science and Technologies: in collaboration with the PhD programme of the University of Trento in Physics; Mathematics; Materials, Mechatronics, and Systems Engineering; and Civil, Environmental, and Mechanical Engineering.
- Cyber Security
- Data Intelligence
- Deep and Structured Machine Learning
- Embedded Intelligence and Robotics Systems
- Language, Speech and Interaction
- LION - 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
- ING-IND/35 Business and management engineering
- INF/01 Informatics
- ING-INF/01 Electronics
- ING-INF/02 Electromagnetic fields
- ING-INF/03 Telecommunications
- ING-INF/05 Information processing systems
- ING-INF/06 Electronic and informatics bioengineering
To apply for the PhD programme, you must have:
- a specialist or master's degree or a degree issued under the previous regulations;
- an equivalent academic qualification obtained abroad (master's degree) that allows admission to the PhD program in the education system or in the country of issue and that is considered suitable by the selection committee for the sole purpose of accessing the course.
Students selected by special committees for specific international mobility programmes in which the University of Trento participates may also apply.
The admission call indicates:
- admission requirements;
- deadlines;
- admission procedure;
- details of the funded positions;
- availability of scholarships.
For this doctoral course the following are available:
- 34 places;
- 32 scholarships (of which 29 are topic-specific scholarships);
- 2 non-scholarship places
- 1 place is reserved for scholarship holders from foreign countriesc (areas D).
Further information about scholarships with reserved research topics is available on the dedicated page on the doctoral web page.
The breakdown of the available places and the details of the funded positions are specified in the admission call.
Update of 9 May 2025:
7 additional topic-specific scholarships are available in research area A (from A10 to A16) within the GUIDANCE project (Debugging Computer Vision Models via Controlled Cross-modal Generation) (FIS2023-03251 – CUP E53C25000420001).
For further information visit the PhD website.
To apply for one of these new scholarships, complete the online application form (see the Apply section of this page) and:
- select "Other" from the list of available scholarships;
- complete the description field indicating the topic of your interest.
If you have already submitted your application, you can complete the supplementary application that will be available from 13 to 19 May 2025 (4:00 PM Italian time).
APPLY
The selection procedure is entirely online.
Consult the call to get all the information needed to register.
Complete the online form by 4:00pm (Italian time) on 12 May 2025.
DOCUMENTS
Will be published in this section.