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

SCHOOL OF STATISTICAL SCIENCES
The PhD program in “School of Statistical Sciences” prepares and initiates students into quantitative research within the field of Statistics. It trains high-level professionals for roles requiring expertise in “information management” in its broadest sense, across all stages (production and analysis), for placement within universities, research institutions, and public or private research departments, both in Italy and abroad. It is structured into three curricula as follows.
DEMOGRAPHY
It aims to train researchers and highly professional figures with specific skills in the study of the population processes in Italy and abroad.
The training activity promotes a multidisciplinary vision with a solid methodological base, shared within the European Doctoral School of Demography. It provides the conceptual and methodological tools necessary to study populations, their dynamics, and the relationship between demographic and economic/social behavior.
ACTUARIAL SCIENCES
Curriculum in A.S. trains researchers with high scientific qualifications in the Actuarial Sciences and it is the only one in the current national offering of PhD programs dedicated to advanced research in Actuarial Sciences.
Study and research activities are strongly focused on quantitative methods for measuring and managing the risks typical of insurance companies and for controlling the company's solvency with advanced institutional courses related to private insurance and social security.
Students are encouraged to spend periods of study and research abroad, such as ETH Zurich, University of Copenhagen, Cass Business School in London, University of Lausanne.
METHODOLOGICAL STATISTICS
The program aims to train professional figures with highly specialized skills in the management of “statistical information” in its various stages of production: design and execution of observational surveys and experiments, development of methodologies, and data analysis.
Institutional training is provided by advanced institutional and monographic courses in a variety of subject areas, including Real Analysis, Optimization, Probability, Stochastic Processes, Advanced Inference and Multivariate Statistics.
PhD students are encouraged to spend periods of study abroad in internationally recognized universities and research centers such as the University of California, the University of Glasgow, Harvard University, Novartis (Switzerland), the Bielefeld University, Imperial College London.
The program's primary objective is to introduce students to research. This is achieved by identifying a specific, relevant problem under the supervision of faculty members. Over the course of three years, students conduct original research for their doctoral theses.
During the program, all PhD students are encouraged to actively participate in all Department activities and research initiatives, and are involved in various funded research programs at national and international level.

Number of positions available


Sapienza Scholarships Affliliated Institutions or Excellence Industrial PhD Without scholarship
6 2 0 2

Themes, curriculum and specific competence



Scholarships funded by affiliated Institution and Departments of Excellence

1 scholarship funded by the affiliated Institution: DIPARTIMENTO DI SCIENZE STATISTICHE
Topic: FIS 3 - Developing a dynamic micro-simulation model for the long-term looking forward analysis of demography, income and wealth inequality and labour market trends (MACROSETTORE SH - Social Sciences and Humanities)

1 scholarship funded by the affiliated Institution: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Topic: Maladaptive eating behaviours and emotion dysregulation: a twin study in childhood and adolescence
On curriculum: STATISTICA METODOLOGICA

Sapienza scholarships: 6

Admission Procedure

Qualifications assessment The following will be evaluated (see Evaluation Criteria)
1) Course of university studies
2) publications
3) scientific background, taking into account any national and international research experience, training courses and research grants.

Candidates who obtained at least 40/60 in the assessment of their qualifications are admitted to the oral exam.
Oral interview The oral exam will consist in
1) the discussion of the summary of the Master's thesis or the research project presented;
2) the discussion on basic topics related to the curriculum chosen, publications and other titles and qualifications presented.
3) Test of English language

The minimum positive score for the oral test is 40/60.
language ITALIANO

contacts and info Sito web: https://phd.uniroma1.it/web/SCUOLA-DI-SCIENZESTATISTICHE_nD3544.aspx Email: dottorato-dss@uniroma1.it Tel. 0649910521 (Segreteria), 0649910681 (dott.ssa Simonetti), 0649910766 (dott.ssa Nepi)

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
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

§ degree thesis abstract
mandatory
An abstract describing the Master thesis work (even if still in progress), the file must be uploaded within le ore 14:00 del 17/06/2026
§ research project
optional
Brief description (one page maximum) of the methodological issues that the candidate could potentially address during his/her PhD course. It may start from the Master thesis described in the abstract., 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
The teacher must upload the cover letter strictly within the deadline indicated. The system sends the upload instructions to the teacher's email address indicated by the candidate. No other methods of submission will be accepted.
§ 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
The teacher must upload the cover letter strictly within the deadline indicated. The system sends the upload instructions to the teacher's email address indicated by the candidate. No other methods of submission will be accepted.
§ List of publications
optional, the file must be uploaded within le ore 14:00 del 17/06/2026
§ letter of motivation (by the candidate)
mandatory
Briefly describe (200 words maximum) your motivation for choosing the PhD program and curriculum., the file must be uploaded within le ore 14:00 del 17/06/2026
§ Curriculum Vitae et Studiorum
mandatory
Mandatory CV in Europass format, 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
day06/07/2026
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544.aspx
date of publication06/07/2026
contactsemail: dottorato-dss@uniroma1.it, Tel. 0649910521 (Segreteria)

Oral interview
day09/07/2026
notesnone
time09:00
classroomSala Lettura 2
addressSede di Viale Regina Elena, 295 - Palazzina G (Edificio RM115)
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544.aspx
date of publication09/07/2026
contactsemail: dottorato-dss@uniroma1.it , Tel. 0649910521 (Segreteria)


Evaluation scale

Qualifications assessment

Valutazione titoli

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

Lettera/e di presentazione dei candidati da parte di esperti qualificati
Candidate cover letters from qualified experts

Punteggio massimo/max score: 3

Sintesi della tesi o progetto scientifico presentato
Abstract of Master Thesis or Research Project

Punteggio massimo/max score: 20

Pubblicazioni scientifiche e altri prodotti di ricerca pertinenti alle tematiche del dottorato
Scientific publications and other research products relevant to doctoral issues

Punteggio massimo/max score: 6

Voto di laurea triennale, Voto laurea magistrale, specialistica, ciclo unico quinquennale o laurea vecchio ordinamento
Bachelor's Degree final grade, Master’s Degree (or equivalent Academic Degree) final grade

Punteggio massimo/max score: 15
Voto di laurea triennale
Bachelor's Degree final grade
110, 110 e lode
110, 110 cum laude		4,0
108 -109
108 -109		3,0
105-107
105-107		2,0
101 - 104
101 -104		1,0
<=100
<=100		0,0
Voto laurea magistrale
Master’s Degree final grade
110, 110 e lode
110, 110 cum laude		11,0
108-109
108-109		10,0
105-107
105-107		8,0
101-104
101-104		5,0
<=100
<=100		1,0
I candidati che discuteranno la tesi dopo la presentazione della domanda ma comunque obbligatoriamente entro il 31 ottobre 2026, verranno valutati sulla base della media aritmetica dei voti degli esami sostenuti ponderata con i CFU
Candidates defending their theses after submission the application which must be no later than 31 October 2026, shall be evaluated on the basis of the arithmetic mean of examination marks, weighted by ECTS credits.
29 - 30
29 - 30		11,0
28 – 28.99
28 – 28.99		9,0
27 - 27.99
27 - 27.99		7,0
26 - 26.99
26 - 26.99		3,0
25 - 25.99
25 - 25.99		1,0
<25
<25		0,0
Voto di laurea magistrale a ciclo unico o laurea vecchio ordinamento
Single Cycle Master’s Degree or a Degree under the old system
110, 110 e lode
110, 110 cum laude		15,0
108-109
108-109		13,0
105-107
105-107		10,0
101-104
101-104		6,0
<=100
<=100		1,0

Attinenza della formazione alle tematiche del curriculum, borse di studio, premi, stages, periodi di studio e formazione presso istituzioni italiane ed estere
Training on curriculum issues, scholarships, awards, stages, periods of study and training at Italian and foreign institutions

Punteggio massimo/max score: 10

Eventuali altri titoli accademici, scientifici e formativi
Other academic, scientific and educational titles or qualifications

Punteggio massimo/max score: 6
Oral interview

Prova orale

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

Discussione della sintesi della tesi o del progetto di ricerca presentato
Discussion of the abstract of the Master's thesis or the research project presented

Punteggio massimo/max score: 29

Discussione su argomenti di base attinenti al curriculum prescelto, di eventuali pubblicazioni e altri titoli presentati
Discussion of basic topics related to the chosen curriculum, publications, and other titles and qualifications presented

Punteggio massimo/max score: 29

Conoscenza della lingua inglese
Test of English language

Punteggio massimo/max score: 2
Il livello minimo di conoscenza della lingua inglese è B2 (le certificazioni non sono obbligatorie).
The minimal English level required is B2 (certifications are not mandatory)
Finanziato dal Fondo italiano per la scienza - Bando FIS

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