Call for application 40th cycle

Bando dottorati nazionali


Educational goals and objectives

NATIONAL PHD IN ARTIFICIAL INTELLIGENCE
The National PhD in Artificial Intelligence (Phd-AI.it) concerns a central theme for digital transformation of society. It aims to mobilize the national community for a PhD in AI at the highest scientific level, such as to boost research and the country's industrial and social innovation. The PhD-AI.it is implemented, with the coordination of the CNR and the University of Pisa, with the establishment of 5 federated AI doctorates, organized by a university leader and a large consortium of universities and research institutions. Doctorates have a common base focused on the foundational aspects of AI e 5 areas of specialization: •
Government and public bodies, Sapienza University of Rome
• Health and life sciences, University Campus Bio-Medico of Rome
• Agrifood and environment, University of Naples Federico II
• Society, University of Pisa.

Specific objectives of the PhD-AI are:
• Build a community of young researchers in training and AI researchers distributed at a territorial and disciplinary level;
• Encourage the exchange of multi-disciplinary experiences between the nodes of the network through the periods of didactic and research mobility of the PhD students;
• Integrate and strengthen the Italian network of AI research centers, also in relation to the European ICT-48-H2020 program "Towards a vibrant European network of AI excellence centers ”and the European human-centered and trustworthy AI development strategy.

Specifiche economiche


Sapienza Scholarships Other Scholarships Departments Without scholarship
4 28 0 10

Themes, curriculum and specific competence



Borse ENTI TERZI, PARTENARIATI ESTESI, ECCELLENZA

Tematica: Navigazione Autonoma per Rover Spaziali
Ente finanziatore: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Competenze richieste: nessuna competenza specifica richiesta
- Autonomous Navgation for Space Rovers
Founded by: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Required skills: no specific skill required

Tematica: FIS 2 - Analisi delle immagini per la valutazione della perdita ossea parodontale e del rischio di parodontite da radiografie panoramiche dentali
Ente finanziatore: DIPARTIMENTO DI SCIENZE ODONTOSTOMATOLOGICHE E MAXILLO FACCIALI
Competenze richieste: nessuna competenza specifica richiesta
- FIS 2 - Image analysis for assessing periodontal bone loss and periodontitis risk from dental panoramic radiographs
Founded by: DIPARTIMENTO DI SCIENZE ODONTOSTOMATOLOGICHE E MAXILLO FACCIALI
Required skills: no specific skill required

Tematica: Anomaly detection tramite immagini in ambiente industriale per l'identificazione di danni strutturali ed altre tipologie di difetti su infrastrutture edili principalmente legate al mondo dei trasporti
Ente finanziatore: AISICO S.R.L
Competenze richieste: nessuna competenza specifica richiesta
- Image-based anomaly detection in industrial environments for the identification of structural damage and other types of defects on building infrastructures mainly related to the transport sector
Founded by: AISICO S.R.L
Required skills: no specific skill required

Tematica: Metodi e tecniche di Intelligenza Artificiale per la gestione dei dati sulle acque
Ente finanziatore: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Competenze richieste: nessuna competenza specifica richiesta
- Artificial Intelligence Methods and Techniques for Water Data Management
Founded by: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Required skills: no specific skill required

Tematica: Strumenti di verifica della conformità e dell’accreditamento nello sviluppo di sistemi di Intelligenza Artificiale
Ente finanziatore: ACCREDIA – L’ENTE ITALIANO DI ACCREDITAMENTO
Competenze richieste: nessuna competenza specifica richiesta
- Tools for verification of conformity and accreditation in the development of artificial intelligence systems.
Founded by: ACCREDIA – L’ENTE ITALIANO DI ACCREDITAMENTO
Required skills: no specific skill required

Tematica: Tecniche di Intelligenza Artificiale per Industria 5.0
Ente finanziatore: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Competenze richieste: nessuna competenza specifica richiesta
- AI techniques for Industry 5.0
Founded by: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Required skills: no specific skill required

Tematica: Logica del secondo ordine per il ragionamento non monotono su basi di conoscenza DL e grafi della conoscenza
Ente finanziatore: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Competenze richieste: nessuna competenza specifica richiesta
- Second-order logic for nonmonotonic reasoning over DL knowledge bases and knowledge graphs
Founded by: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Required skills: no specific skill required

Tematica: Apprendimento sicuro tramite rinforzo per sistemi multi-robot
Ente finanziatore: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Competenze richieste: nessuna competenza specifica richiesta
- Safe Reinforcement Learning for Multi-Robot Systems
Founded by: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Required skills: no specific skill required

Tematica: Comportamenti robotici intelligenti per imitare le abitudini dei consumatori nelle applicazioni di assistenza domiciliare.
Ente finanziatore: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Competenze richieste: nessuna competenza specifica richiesta
- Intelligent robotic behaviours to mimic consumer habits in home care applications
Founded by: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Required skills: no specific skill required

Tematica: Applicazione di trasformate di dominio non lineari mediate da reti neurali per predizione di cricche e indebolimenti strutturali in materiali cementizi con dati provenienti da sensori piezoelettrici e piezoresistivi
Ente finanziatore: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Competenze richieste: nessuna competenza specifica richiesta
- Application of nonlinear domain transforms mediated by neural networks for crack and structural weakening prediction in cementitious materials with data from piezoelectric and piezoresistive sensors
Founded by: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Required skills: no specific skill required

Tematica: Metodologie per la valutazione di safety e security su modelli LLM e LVM
Ente finanziatore: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Competenze richieste: nessuna competenza specifica richiesta
- Safety and security assessment methodologies on LLM and LVM models
Founded by: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Required skills: no specific skill required

Tematica: Intelligenza Artificiale e Robotica per Agricoltura di Precisione
Ente finanziatore: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Competenze richieste: nessuna competenza specifica richiesta
- Artificial Intelligence and Robotics for Precision Agriculture
Founded by: DIPARTIMENTO DI INGEGNERIA INFORMATICA AUTOMATICA E GESTIONALE "ANTONIO RUBERTI" (DIAG)
Required skills: no specific skill required

Tematica: Learning and Planning for Intelligent Autonomous Systems
Ente finanziatore: UNIVERSITÀ DEGLI STUDI DI BRESCIA
Competenze richieste: nessuna competenza specifica richiesta
- Learning and Planning for Intelligent Autonomous Systems
Founded by: UNIVERSITÀ DEGLI STUDI DI BRESCIA
Required skills: no specific skill required

Tematica: Knowledge Graphs for Data Processing and Machine Learning
Ente finanziatore: LIBERA UNIVERSITÀ DI BOLZANO
Competenze richieste: nessuna competenza specifica richiesta
- Knowledge Graphs for Data Processing and Machine Learning
Founded by: LIBERA UNIVERSITÀ DI BOLZANO
Required skills: no specific skill required

Tematica: Security of Artificial Intelligence for Cybersecurity Applications
Ente finanziatore: UNIVERSITÀ DEGLI STUDI DI GENOVA
Competenze richieste: nessuna competenza specifica richiesta
- Security of Artificial Intelligence for Cybersecurity Applications
Founded by: UNIVERSITÀ DEGLI STUDI DI GENOVA
Required skills: no specific skill required

Tematica: Disambiguazione del senso delle parole in ambito multilinguistico e semantica lessicale e frasale generativa esplicita e latente
Ente finanziatore: BABELSCAPE S.R.L.
Competenze richieste: nessuna competenza specifica richiesta
- Multilingual Word Sense Disambiguation and explicit and latent generative lexical and phrasal semantics
Founded by: BABELSCAPE S.R.L.
Required skills: no specific skill required

Tematica: Approcci innovativi basati su inferenza, ragionamento e pianificazione per modelli linguistici di grandi dimensioni di prossima generazione.
Ente finanziatore: BABELSCAPE S.R.L.
Competenze richieste: nessuna competenza specifica richiesta
- Innovative Inference, Reasoning and Planning-based Approaches to Next-Generation large Language Models
Founded by: BABELSCAPE S.R.L.
Required skills: no specific skill required

Tematica: Agent-based AI for adaptive Process Intelligence
Ente finanziatore: UNITELMA SAPIENZA
Competenze richieste: nessuna competenza specifica richiesta
- Agent-based AI for adaptive Process Intelligence
Founded by: UNITELMA SAPIENZA
Required skills: no specific skill required

Tematica: Uso di tecnologie di intelligenza artificiale nei sistemi produttivi dell’occhialeria
Ente finanziatore: UNIVERSITÀ DEGLI STUDI DI VERONA
Competenze richieste: nessuna competenza specifica richiesta
- Use of Artificial Intelligence Technologies in Eyewear Production Systems
Founded by: UNIVERSITÀ DEGLI STUDI DI VERONA
Required skills: no specific skill required

Tematica: Beyond multimodal alignment: unveil and represent expert knowledge from free-from structures
Ente finanziatore: UNIVERSITÀ DEGLI STUDI DI VERONA
Competenze richieste: nessuna competenza specifica richiesta
- Beyond Vision and Language: Unveil and Represent Knowledge through Auxiliary Tasks
Founded by: UNIVERSITÀ DEGLI STUDI DI VERONA
Required skills: no specific skill required

Tematica: Model-based failure analysis, monitoring and diagnosis of infinite-state critical systems
Ente finanziatore: FONDAZIONE BRUNO KESSLER
Competenze richieste: nessuna competenza specifica richiesta
- Model-based failure analysis, monitoring and diagnosis of infinite-state critical systems
Founded by: FONDAZIONE BRUNO KESSLER
Required skills: no specific skill required

Tematica: Foundation models for time-series analysis and forecasting
Ente finanziatore: FONDAZIONE BRUNO KESSLER
Competenze richieste: nessuna competenza specifica richiesta
- Foundation models for time-series analysis and forecasting
Founded by: FONDAZIONE BRUNO KESSLER
Required skills: no specific skill required

Tematica: Background knowledge for reasoning with LLMs
Ente finanziatore: FONDAZIONE BRUNO KESSLER
Competenze richieste: nessuna competenza specifica richiesta
- Background knowledge for reasoning with LLMs
Founded by: FONDAZIONE BRUNO KESSLER
Required skills: no specific skill required

Tematica: Integrating LMMs and ontological reasoning for the analysis of engineering diagrams
Ente finanziatore: FONDAZIONE BRUNO KESSLER
Competenze richieste: nessuna competenza specifica richiesta
- Integrating LMMs and ontological reasoning for the analysis of engineering diagrams
Founded by: FONDAZIONE BRUNO KESSLER
Required skills: no specific skill required

Tematica: SMT-based model checking of hybrid systems
Ente finanziatore: FONDAZIONE BRUNO KESSLER
Competenze richieste: nessuna competenza specifica richiesta
- SMT-based model checking of hybrid systems
Founded by: FONDAZIONE BRUNO KESSLER
Required skills: no specific skill required

Tematica: Large-scale formal verification and testing for parametric systems
Ente finanziatore: FONDAZIONE BRUNO KESSLER
Competenze richieste: nessuna competenza specifica richiesta
- Large-scale formal verification and testing for parametric systems
Founded by: FONDAZIONE BRUNO KESSLER
Required skills: no specific skill required

Tematica: FIS 2 - Metodi basati sull'intelligenza artificiale per la telemedicina a distanza per promuovere un'assistenza sanitaria efficace nei pazienti con diabete di tipo 1 e parodontite.
Ente finanziatore: DIPARTIMENTO DI SCIENZE ODONTOSTOMATOLOGICHE E MAXILLO FACCIALI
Competenze richieste: nessuna competenza specifica richiesta
- FIS 2 - AI-based methods for remote telemedicine to promote effective healthcare in patients with type 1 diabetes and periodontitis
Founded by: DIPARTIMENTO DI SCIENZE ODONTOSTOMATOLOGICHE E MAXILLO FACCIALI
Required skills: no specific skill required

Tematica: Machine Learning Security for Foundation Models
Ente finanziatore: UNIVERSITÀ DEGLI STUDI DI CAGLIARI
Competenze richieste: nessuna competenza specifica richiesta
- Sicurezza nell'apprendimento automatico per i modelli di base
Founded by: UNIVERSITÀ DEGLI STUDI DI CAGLIARI
Required skills: no specific skill required


Admission Procedure

Qualifications assessment Evaluation of Qualifications
- Master's Graduation grade
- curriculum of studies with exams and, for each exam the corresponding mark should be reported
- publications
- awards
- certificates of scientific excellence
- professional experiences
- project experiences
- Up to 2 letters of recommendation

Only the candidates who scored 18/30 at the Evaluation of Qualifications will access the evaluation of the project proposal.
Project Proposal The project proposal should be at max 4 pages, written in English using the ieee template available at this address: "https://github.com/bardsoftware/template-ieee-transactions/blob/master/IEEEtran.cls". It should illustrate how the candidate intends to advance the state of the art within some domain of AI. We will evaluate:
a) the relevance of the topic in accordance to the line of research of the fellowship chosen by the candidate
b) the proper coverage of the state of the art w.r.t the literature
c) the originality
d) the technical strength
e) the feasibility of the proposal, considering the time span of 3 years of the PhD program.
In writing the proposal the candidate should not excessively use Generative AI tools. Doing so would result in a negative evaluation.

Only the candidates who scored 18/30 at the Project's evaluation will access the colloquium.
language INGLESE
Oral interview The colloquium will consist of a (short) presentation on the project proposal.
The duration of the colloquium will be decided after the call is closed, and communicated at least three days before the colloquium takes place.
Furthermore, the committee will assess the technical strength of the candidate in different areas of AI and Computer Science.
The colloquium is passed with a minimum of 20/40 points.
language INGLESE

contacts and info [IT] Sito con dashboard per informazioni in itinere durante il concorso: https://sites.google.com/diag.uniroma1.it/phdai41admissiondashboard/ Per domande esclusivamente concernenti call links e orari delle prove usare la seguente email: phd.ai-fund@uniroma1.it. Specificare nel subjet [PHD-AI-41-admission] , altrimenti i messaggi dei candidati verranno ignorati. [EN] Here https://sites.google.com/diag.uniroma1.it/phdai41admissiondashboard/ you can find up to date information of the admission project. For questions ONLY related to call links, and time of the tests use this email, phd.ai-fund@uniroma1.it. specifying in the subject [PHD-AI-41-admission]. Emails not containing this line in the subject will be ignored.

Curriculum studiorum

Graduation date and grade of the Master's degree
detailed list of exams including completion dates and scores of Masters's degree
Graduation date and grade of the Bachelor’s degree
detailed list of exams including completion dates and scores of Bachelor's degree
History of Scholarships, Research Grants (or similar)
Certificates of participation in post-graduate university courses
certificates of Participation in research groups
certificates of Participation in internships
Other University Awards/Degrees (e.g.: awards in competition, second degree)
Computer skills

Required documentation

§ research project
mandatory
The project proposal should be at max 4 pages, written in English using the ieee template available at this address: "https://github.com/bardsoftware/template-ieee-transactions/blob/master/IEEEtran.cls". It should illustrate how the candidate intends to advance the state of the art within some domain of AI. We will evaluate:
a) the relevance of the topic in accordance to the line of research of the specific fellowship
b) the proper coverage of the state of the art
c) the originality
d) the technical strength
e) the feasibility of the proposal, considering the time span of 3 years of the PhD program.
The proposal should not be written by abusing Generative AI tools. Doing so would result in a negative evaluation., the file must be uploaded within le ore 23:59 del 21/07/2025
§ first letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 21/07/2025
The letter should specify the duration and the type of the academic interactions between the recommender and the candidate. It should furthermore provide an assessment of the chances of the candidate in achieving a PhD in AI.


§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 21/07/2025
The letter should specify the duration and the type of the academic interactions between the recommender and the candidate. It should furthermore provide an assessment of the chances of the candidate in achieving a PhD in AI.
§ Curriculum Vitae et Studiorum
mandatory
Please in the CV state:
- Publications and awards
- Mark of master degree
- Exams and grade for each exams
- Projects
- (scientific) Job experiences
, the file must be uploaded within le ore 23:59 del 21/07/2025

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day08/09/2025
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/DOTTORATO-NAZIONALE-IN-INTELLIGENZA-ARTIFICIALE_nD3764.aspx
date of publication08/09/2025
contactsphd.ai-fund@diag.uniroma1.it

Altra tipologia (Project Proposal)
day08/09/2025
notesnone
time08:00
classroomn/a
addressn/a
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/DOTTORATO-NAZIONALE-IN-INTELLIGENZA-ARTIFICIALE_nD3764.aspx
date of publication08/09/2025
contactsphd.ai-fund@diag.uniroma1.it

Oral interview
day11/09/2025
notesnone
time08:00
classroommodalita' telematica
addressmodalita' telematica
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/DOTTORATO-NAZIONALE-IN-INTELLIGENZA-ARTIFICIALE_nD3764.aspx
date of publication11/09/2025
contactsphd.ai-fund@diag.uniroma1.it


Evaluation scale

Qualifications assessment

Valutazione titoli

Punteggio massimo complessivo per la prova/overall max score: 30

Carriera accademica, percorso formativo, esperienze professionali e progettuali
Academic career, education, professional experiences and projects

Punteggio massimo/max score: 20

Lettere di Presentazione
Recommendation Letters

Punteggio massimo/max score: 2

Voto di Laurea
Mark of the Master Degree

Punteggio massimo/max score: 3

Pubblicazioni, Premi e Riconoscimenti
Publications and Awards

Punteggio massimo/max score: 5
Altra tipologia (Project Proposal)

Altra tipologia

Proposta di Progetto
Project Proposal

Punteggio massimo complessivo per la prova/overall max score: 30

pertinenza rispetto al corsi di dottorato, chiarezza e rigore metodologico
relevance w.r.t the PhD course, clarity and methodological rigor

Punteggio massimo/max score: 15

Rilevanza rispetto al tema di ricerca scelto
Relevance with respect to the selected research theme

Punteggio massimo/max score: 10

Originalita'
Originality

Punteggio massimo/max score: 5
Oral interview

Prova orale

Punteggio massimo complessivo per la prova/overall max score: 40

Presentazione e Colloquio
Presentation and Interview

Punteggio massimo/max score: 40

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