Second Call

Research Area No. of positions Funded by No. of reserved scholarship Topic (funding)
A 2 University of Trento 5 - Department of Information Engineering and Computer Science-DISI
6 - Fondazione Bruno Kessler-FBK
1 - Department of Information Engineering and Computer Science-DISI Q@TN project and 12thLevel Pty Ltd
A1 - Adaptive Multimodal conversational agents (DISI)
A2 - Distributed machine learning for smart buildings (project HE EIC SUSTAIN, CUP: E63C22001550006) (DISI)
A3 - Efficient machine learning for embedded systems (project HE EIC SUSTAIN CUP: E63C22001550006) (DISI)
A4 - Self-supervised incremental and adaptive learning (project MUR PRIN 2020, CUP E63C22000390001- Prot. 2020TA3K9N); (project UE H2020 "SPRING", CUP n. E64I19002980006) (DISI)
A5 - AI-based 3D inspection for industrial quality control (FBK)
A6 - Application-oriented Speech Translation (FBK)
A7 - Deep learning for vision-based scene understanding (FBK)
A8 - Self-configuring resource-aware AI-based speech processing (FBK)
A9 - TinyAI for energy-efficient smart sensing in distributed IoT (FBK)
A10 - Artificial Intelligence for the Earth Systems (FBK)
A11 - Solving Logistic Problems using NISQ devices (DISI Q@TN and 12thLevel Pty Ltd)
A12 - Climate data integration for early warning and impact analysis of drought using machine learning and deep learning techniques (project HORIZON EUROPE - INTERTWIN -CUP: E63C22001530006) (DISI)
B 1 University of Trento 3 - Department of Information Engineering and Computer Science-DISI
1 - Fondazione Bruno Kessler-FBK
B1 - Formal framework for Trustable IoT applications (DISI)
B2 - Resilient AI-Based Self-Programming (progetto MUR PRIN 2020 - CUP  E63C22000400001; Prot. 20203FFYLK) (DISI)
B3 - Security firmware  for modern architectures of embedded systems (DISI)
B4 - Combining automated planning and deep learning for automatic adaptation (FBK)
C -

-

1 - Department of Information Engineering and Computer Science-DISI Q@TN project 
1 - Department of Information Engineering and Computer Science-DISI + 1 additional
1 - Fondazione Bruno Kessler-FBK

C1 - QVNSIM - Scalable algorithms for quantum simulation on Multi-GPU systems and hybrid programming models (DISI Q@TN)
C2 - Innovative Education in Computer Science (DISI)
C3 - Analysis and modeling of online communication networks (FBK)
C4 -  HPC-based and FAIR-enabled big data infrastructure
for climate change research at extreme-scale (PNRR MS4 C2 CN0000013 Project – CUP E63C22000970007 - DISI) (additional, pubblished on 30/08/2022)
D - - 1 - Department of Information Engineering and Computer Science-DISI
1 - EURAC Research (Accademia Europea di Bolzano)
1 - Fondazione Bruno Kessler-FBK
D1 - Machine learning and artificial intelligence for planetary radars (progetto ASI JUICE RIME - CUP F65F21000950005) (DISI)
D2 - Machine learning and artificial intelligence for the automatic analysis of optical remote sensing images (DISI)
D3 - Snow cover detection and glacier mass balance estimation with machine learning methods and multi-source satellite data (EURAC Research)
D4 - Analysis of long and dense remote sensing image time series (FBK)

The scholarships for specific research topics (reserved scholarships) are conditional on execution of a particular research topic for which specific skills are required. Candidates interested in one or more of these scholarships must carefully check the topic, the requirements and whether the scholarships are subject to the acceptance of nondisclosure obligations and/or assignment of the results, listed at: https://ict.unitn.it/education/admission/reserved-topic-scholarships

First Call

Research Area No. of positions Funded by No. of reserved scholarship

Topic (funding)

 

A 3 University of Trento 1 - DISI-Dep. of Engineering and Computer Science 
+ 1 additional
6 - FBK-FONDAZIONE BRUNO KESSLER 
+ 1 additional
A1 – Adaptive Multimodal conversational agents (DISI)
A2 – AI-based 3D inspection for industrial quality control (FBK)
A3 – Application-oriented Speech Translation (FBK)
A4 – Computational Models for Human Dynamics (FBK)
A5 – Domain Adaptive Tiny Machine Learning (FBK)
A6 – Neural Models for knowledge driven Natural Language Generation to fight misinformation (FBK)
A7 – Self-configuring resource-aware AI-based speech processing (FBK)
A8 – Learning to adapt with Geometric Deep Learning (DISI - MUR PRIN 2020 - CUP E63C22000390001; Prot. 2020TA3K9N) (additional, published on 15/04/2022)
A9 - Analysing the effect of counter-narratives on hateful conversations online (additional, published on 29/04/2022)
B

1

University of Trento

6 - DISI-Dep. of Engineering and Computer Science
3 - FBK-FONDAZIONE BRUNO KESSLER

B1 – Automated Program Repair for bugs and security vulnerabilities (DISI)
B2 – Testing and Explainability for bugs and security vulnerabilities (DISI)
B3 – HW/SW co-design of trusted services (DISI)
B4 – Resilient AI-Based Self-Programming (DISI - PRIN 2020 - CUP  E63C22000400001; Prot. 20203FFYLK)
B5 – Formal framework for Trustable IoT applications (DISI)
B6 – Human aware motion planning for mobile robots and manipulators (DISI)
B7 – Adaptive Automated Planning and Scheduling via Combination with Reinforcement Learning (FBK)
B8 – AI/ML at the Wireless Network Edge (FBK)
B9 – TinyAI for energy-efficient smart sensing in IoT (FBK)

C

2

University of Trento

2 - DISI-Dep. of Engineering and Computer Science
2 - FBK-FONDAZIONE BRUNO KESSLER

C1 – Innovative Education in Computer Science (DISI)
C2 – Participatory Artificial Intelligence (DISI)
C3 – Human-centered AI in the data spaces (FBK)
C4 – Safety verification and validation of autonomous systems with AI components (FBK)

D

1

University of Trento

2 - DISI-Dep. of Engineering and Computer Science + 1 additional
1 - FBK-FONDAZIONE BRUNO KESSLER
1 - EURAC additional

D1 – Development of methodologies and automatic techniques for the analysis of data acquired by satellite radars in planetary missions (DISI)
D2 / D4 – Development of methodologies based on machine learning and artificial intelligence for the automatic analysis of satellite remote sensing images (DISI) (D4 additional, published on 9/05/2022)
D3 – Analysis of long and dense remote sensing image time series (FBK) 
D5 - Snow cover detection and glacier mass balance estimation with machine learning methods and multi-source satellite data (EURAC) (published on 11/05/2022)

The scholarships for specific research topics (reserved scholarships) are conditional on execution of a particular research topic for which specific skills are required. Candidates interested in one or more of these scholarships must carefully check the topic, the requirements and whether the scholarships are subject to the acceptance of nondisclosure obligations and/or assignment of the results, listed at: https://iecs.unitn.it/education/admission/reserved-topic-scholarships

 

Last update: August 30th, 2022