Call for application | Doctoral Program - Information Engineering and Computer Science
 

Call for application

Admission requirements and topics

For admission requirements and application procedure please check the call in the "Downloads" area on the right.

Only the Italian version of the call is legally binding.

In order to be admitted in the School, applicants must be in possession of an Academic title which grants access to a third level education programme (PhD) in the country it has been issued.

Deadline: April 15, 2021, hrs. 04.00 PM (CEST)

The application must be completed and submitted by the above deadline, solely by the online system:

https://webapps.unitn.it/Apply/en/Web/Home/dott

The application which you must select is "Doctoral School in Information Engineering and Computer Science 37th cycle - First Call 2021"

Please note that applicants who do not have an account at the University of Trento must register in advance at: https://www.unitn.it/account

A video guide on how to make your online application is available at: https://fb.watch/4koTdEHbBZ/

The application shall be subject to the payment of an application fee - non-refundable - amounting to € 15 to be paid according to the instructions given in the application. 

Applicants are advised to register well in advance with respect of the deadline because the issue of the username and password (sent via email), necessary to enter UNITN’s online services, may require up to 2 working days. 

The administration strongly recommends that applicants ensure that they have received the notification email confirming the definitive completion of the application procedure.
Applicants are asked not to wait until the last days prior to the deadline before submitting their applications.

During the filling out of the online application, applicants must choose which research area and no more than two project specific grants (reserved topic scholarships) within the area they are interested to apply for.   

Applicants who have selected Research Area C within the previously submitted online application may also opt for the additional reserved topic scholarship C5 (funded by FBK-Fondazione Bruno Kessler). The total number of chosen scholarships (additional + main online application, max 2) cannot exceed 3. Applicants may send their expression of interest for the additional reserved topic scholarship and the description of the research project by email to ateneo [at] unitn.it (Subject: “Application ID number- candidate’s Surname and Name - PhD in Information Engineering and Computer Science – First call, 37th cycle - Supplement to application”) by April 15th, 2021 at 4:00 p.m. Italian time. After this date, a specific additional online application will also be made available from 16 to 21 April 2021 to collect applications for additional scholarships made available after the publication of the present call.

Curriculum and scholarships

Curriculum

1: Computer Science

2: Telecommunications

Research Area

A

B

C

D

MUR - Dipartimenti di Eccellenza scholarships

2

6

3

3

UNITRENTO scholarships

1

1

2

1

UNITRENTO/DISI scholarships

-

1

-

-

DISI reserved topic scholarships

2

1

-

1

FBK reserved topic scholarships

5

1

4+1

3

Positions without scholarship

-

1

-

-

TOTAL

10

11

9+1

8

MUR - Dipartimenti di Eccellenza: Ministry of University and Research - Departments of Excellence
UNITRENTO: University of Trento
DISI: Department of Information Engineering and Computer Science, University of Trento
FBK: Fondazione Bruno Kessler

In addition, there are 2 positions reserved for applicants who are granted scholarships by foreign countries (see Art. 6 of the Call): 1 in Research Area B and 1 in Research Area D.

Area A (Curriculum 1: Computer Science)

  • Deep and Structured Machine Learning
  • Language Speech and Interaction
  • Machine Learning and Intelligent OptimizatioN

Project Specific Grants (reserved topic scholarships)

Department of Information Engineering and Computer Science

  • A1 - Cross-modal understanding and generation of visual and textual content (1 grant) » details 
  • A2 - Deep Learning for Human Behaviour Analysis in Social Robotics (1 grant) » details 

FBK

  • A3 - Neural Dialogue Models for fighting misinformation and hate speech (1 grant) » details
  • A4 - Persona Based neural models for Opinionated Dialogues (1 grant) » details
  • A5 - End-2-End AI technologies for the semantic interpretation of audio and speech data (1 grant) » details
  • A6 - Fairness and explainable methods for machine learning and deep learning algorithms (1 grant) » details
  • A7 - Flexibility and Robustness in Speech Translation (1 grant) » details

Area B (Curriculum 1: Computer Science)

  • Cyber Security
  • Embedded Intelligence and Robotics Systems
  • Next Generation Networks
  • Systems and Networks
  • Wireless Technology and Systems

Project Specific Grants (reserved topic scholarships)

Department of Information Engineering and Computer Science

  • B1 - Low-power Networking and Localization with Ultra-wideband (UWB) (partly from PRIN 2017 - Protocollo n.2017T3S5JB, CUP E64I19001110001)(1 grant) » details 

FBK

  • B2 - Multi-Access Edge Computing for Beyond 5G Networks (1 grant) » details

Area C (Curriculum 1: Computer Science)

  • Data Intelligence
  • Digitalization of operations for sustainability
  • Quantum Information and Computing
  • Social Informatics
  • Software Engineering and Formal Methods

Project Specific Grants (reserved topic scholarships)

FBK

  • C1 - Engineering Game-based Motivational Digital System for Personalized and Cooperative Learning (1 grant) » details
  • C2 - Testing for complex parametric systems (1 grant) » details 
  • C3 - Self-Adaptive Automated Planning and Scheduling via Combination with Reinforcement Learning (1 grant) » details
  • C4 - Formal verification of hybrid system models for control software (1 grant) » details
  • C5 - Formal Verification of complex cyberphysical systems (1 grant) [additional reserved topic scholarship] » details

Area D (Curriculum 2: Telecommunications)

  • Multimedia Signal Processing and Understanding
  • Remote and Distributed Sensing
  • Signal processing and Recognition

Project Specific Grants (reserved topic scholarships)

Department of Information Engineering and Computer Science

  • D4 - Development of methodologies and automatic techniques based on artificial intelligence and machine learning for the analysis of data acquired by planetary radars (1 grant) » details

FBK

  • D1 - Advanced methodologies for radar and radar sounder image processing (1 grant) » details 
  • D2 - Remote sensing image time series analysis for climate change (1 grant) » details 
  • D3 - Learning-based 3D scene understanding  (1 grant) » details