Call for application 42nd cycle

Bando ordinario


Applications for participation in the competition, together with the corresponding payment, must be duly completed no later than 14:00 CET on 17 June 2026.

Educational goals and objectives

DATA SCIENCE
Data Science is an interdisciplinary field of study that has established itself in recent years in order to offer the methodological tools and technologies necessary for the management and analysis of big data and their valorisation in industry, services, and search. The phenomenon of big data has revolutionized countless sectors of economic-social activity. The phenomenon of big data has also profoundly modified the research methodologies and the development of technological innovation in numerous disciplines and applications. The main objective of this PhD is the realization of interdisciplinary research projects of Data Science that lead to the development of innovative methodologies and technologies based on the use of big data in the following fields of application:

i) Advanced digital platforms,
ii) Management of urban spaces and environmental resources
iii) Medicine and health
iv) Economic and Social Analysis

Data Science receives the decisive contribution of computer science, statistics, engineering, applied mathematics, and academic disciplines that help to understand the impact of big data in applications.

Number of positions available


Sapienza Scholarships Affliliated Institutions or Excellence Industrial PhD Without scholarship
6 4 (+1*) 0 3* dopo la pubblicazione del bando è stata finanziata 1 borsa da NUOVO PIGNONE SRL

Annotazioni

Themes, curriculum and specific competence



Scholarships funded by affiliated Institution and Departments of Excellence

1 scholarship funded by the affiliated Institution: APERION S.R.L.
Topic: Agentic AI reasoning for enterprise analytics

1 scholarship funded by the affiliated Institution: INTESA SANPAOLO S.P.A.

1 scholarship funded by the affiliated Institution: IPS SPA
Topic: Agentic Intelligence for Lawful Interception: Autonomous Reasoning and Behavioral Anomaly Detection across Heterogeneous Social Networks

1 scholarship funded by the affiliated Institution: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Topic: Data science methods and techniques applied to environmental health surveillance and injury monitoring: the national SNPA-SNPS digital platform and the European Injury Database

1 scholarship funded by the affiliated Institution: NUOVO PIGNONE SRL

Sapienza scholarships: 6

Admission Procedure

Qualifications assessment The admissions committee assigns each candidate a maximum total score of 30 points for the evaluation of their qualifications. The scores are awarded based on the criteria defined by the Doctoral College of Data Science and will include an assessment of the curriculum vitae (including academic career and any other titles), the recommendation letters supporting the candidate, and the publications submitted by the candidate.
Submission of a research project The admission committee assigns each candidate a maximum score of 30 points for the research project presentation. Scores are awarded according to the criteria defined by the Faculty Board of the PhD Program in Data Science. In particular, the committee evaluates the description of the state of the art, the originality and innovative nature of the proposal, the clarity and completeness of the objectives, methodologies, and potential outcomes, as well as the relevance of the proposal to the themes and objectives of the doctoral program.
language INGLESE
ITALIANO
Oral interview The Admission Committee assigns a maximum of 60 points to each candidate
admitted to the interview. A score of at least 36 (qualifications + research project) is required for admission. The interview is conducted in English and aims to assess the candidates' knowledge, skills, and aptitude for conducting research in the field of Data Science. The interview also includes a presentation with slides of the research proposal prepared by the candidate and of personal motivations for applying for a Ph. D. position. The interview duration is at most 30 minutes (the candidate's research proposal presentation must take no longer than 15 minutes).
The oral exam is considered passed with a minimum score of 36/60.
The minimum overall score for admission to the Ph.D. in Data Science is 72/120.
language ITALIANO

contacts and info DIAG, Via Ariosto, 25. Coordinator Phone: +39 0677274015 (Fabrizio Silvestri)

Curriculum studiorum

Graduation date and grade of the Master's degree
detailed list of exams including completion dates and scores of Masters's degree
History of Scholarships, Research Grants (or similar)
Certificates of Foreign Languages
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
8000 characters, spaces included, bibliographic references excluded, the file must be uploaded within le ore 14:00 del 17/06/2026
§ first letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il le ore 23:59 del 22/06/2026
§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il le ore 23:59 del 22/06/2026
§ publications (a single pdf for each publication)
optional, the file must be uploaded within le ore 14:00 del 17/06/2026
§ Curriculum Vitae et Studiorum
mandatory, the file must be uploaded within le ore 14:00 del 17/06/2026

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day23/06/2026
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/DATA-SCIENCE_nD3565.aspx
date of publication26/06/2026
contactssimone.scardapane@uniroma1.it

Altra tipologia (Submission of a research project)
day23/06/2026 1.00.00
notesnone
time09:00
classroom-
address-
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/DATA-SCIENCE_nD3565.aspx
date of publication26/06/2026
contactssimone.scardapane@uniroma1.it

Oral interview
day07/07/2026
notesnone
time11:00
classroomB203
addressVia Ariosto, 25 -- 00185 Roma
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/DATA-SCIENCE_nD3565.aspx
date of publication07/07/2026
contactssimone.scardapane@uniroma1.it


Evaluation scale

Qualifications assessment

Valutazione titoli

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

Voto di Laurea
Graduation Grade

Punteggio massimo/max score: 10
Voto di Laurea
Graduation Grade
110 e lode
110 cum laude		10,0
110
110		9,0
109 - 108
109 - 108		8,0
107 - 106
107 - 106		6,0
105 - 104
105 - 104		4,0
103 - 102
103 - 102		2,0
< 102
< 102		0,0
Media Aritmetica - Per coloro che discuteranno la tesi dopo la presentazione della domanda ma comunque entro il 31 ottobre 2026, verrà valutata la media aritmetica degli esami sostenuti.
Average Grade - The candidate's Master's degree grade will be evaluated.For those who will defend their thesis after the submission of the application, but before October 31, 2026, the arithmetic mean of the exams taken will be evaluated.
29 - 30
29 - 30		10,0
28 – 28.99
28 – 28.99		8,0
27 - 27.99
27 - 27.99		6,0
26 - 26.99
26 - 26.99		4,0
25 - 25.99
25 - 25.99		2,0
< 25
< 25		0,0

Pubblicazioni (Max 7 Punti)
Publications (Max 7 Points)

Punteggio massimo/max score: 7
Il valore indicato per ogni sotto-categoria indica il massimo punteggio attribuibile a ciascuna singola pubblicazione. La Commissione assegnerà il punteggio massimo inserito per ciascuna delle tipologie citate di seguito.
The value indicated for each sub-category indicates the maximum score that can be assigned to each publication. The Commission will award the maximum score entered for each of the categories listed below.
Pubblicazione Journal/Conference
Journal/Conference Publication		4,0
Contributo a convegno senza revisione
Contribution to a lecture/ congress w/o peer review		2,0
Rapporto Tecnico
Technical Report		2,0

Esperienze di Ricerca (Max 5 Punti)
Research Experiences (Max 5 Points)

Punteggio massimo/max score: 5
Il valore indicato per ogni sotto-categoria indica il massimo punteggio attribuibile a ciascuna singola esperienza di ricerca. La Commissione assegnerà il punteggio massimo inserito per ciascuna delle tipologie citate di seguito.
The value indicated for each sub-category indicates the maximum score that can be assigned to each research experience. The Commission will award the maximum score entered for each of the categories listed below.
Esperienze di ricerca all’estero (compresa tesi Erasmus)
Reserarch experience abroad (including Erasmus thesis)		5,0
Contratti di collaborazione alla ricerca
Collaboration contracts		5,0
Corsi di formazione alla ricerca
Training courses for researchers 		1,0

Partecipazione a programmi di eccellenza (Max 5 Punti)
Excellence program participation (Max 5 Points)

Punteggio massimo/max score: 5
Il valore indicato per ogni sotto-categoria indica il massimo punteggio attribuibile a ciascuna singola partecipazione a programmi di eccellenza. La Commissione assegnerà il punteggio massimo inserito per ciascuna delle tipologie citate di seguito.
The value indicated for each sub-category indicates the maximum score that can be assigned to each excellence program participation. The Commission will award the maximum score entered for each of the categories listed below.
Partecipazione a Scuole di Alta Formazione
Excellence School Attendance		5,0
Partecipazione a Percorsi di Eccellenza
Participation to Excellence Programs		3,0

Altri Titoli (Max 3 Points)
Other Titles (Max 3 Points)

Punteggio massimo/max score: 3
Il valore indicato per ogni sotto-categoria indica il massimo punteggio attribuibile a ciascun singolo altro titolo. La Commissione assegnerà il punteggio massimo inserito per ciascuna delle tipologie citate di seguito.
The value indicated for each sub-category indicates the maximum score that can be assigned to each other title. The Commission will award the maximum score entered for each of the categories listed below.
Certificazione di Lingua Straniera
Foreign Language Certificates		2,0
Esperienza Professionale
Job Experience		3,0
Altra tipologia (Submission of a research project)

Altra tipologia

Presentazione di un progetto di ricerca
Submission of a research project

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

Conoscenza dello stato dell’arte
Knowledge of the state of the art

Punteggio massimo/max score: 5

Originalità e contenuto innovativo
Innovative aspects of the project

Punteggio massimo/max score: 10

Chiarezza e completezza dell’esposizione degli obiettivi, delle metodologie e dei potenziali risultati
Clarity and completeness of the presentation of objectives, methodologies, and potential results

Punteggio massimo/max score: 5

Fattibilità del progetto
Feasibility of the project

Punteggio massimo/max score: 5

Pertinenza del progetto con gli obiettivi formativi del dottorato
Relevance of the project to the educational objectives of the PhD programme

Punteggio massimo/max score: 5
Oral interview

Prova orale

Punteggio massimo complessivo per la prova/overall max score: 60

Valutazione Prova Orale
Oral Assessment

Punteggio massimo/max score: 60
Alla prova orale vengono ammessi i candidati che nel complesso della valutazione dei titoli e del progetto abbiano conseguito la votazione di almeno 36/60. Durante la prova orale verranno approfonditi e chiariti aspetti riguardanti i titoli presentati e il progetto. La prova orale si intende superata se il candidato ha ottenuto la votazione di 36/60. Il punteggio minimo complessivo per l’ammissione al dottorato di ricerca è di 72/120
Candidates who have obtained a grade of at least 36/60 in the evaluation of the qualifications and in the project are admitted to the oral exam. During the oral test, aspects concerning the titles presented and the project will be deepened and clarified. The oral examination is considered passed if the candidate has obtained a score of 36/60. The minimum total score for admission to the Ph.D. Program is 72/120.

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