Call for application 41st cycle

Bando ordinario


Educational goals and objectives

MODELS FOR ECONOMICS, TERRITORY AND FINANCE
The PhD program is designed to provide PhD candidates the theoretical and methodological skills needed to conduct research of excellence in the fields of economic geography, mathematics for economic and financial applications, methodological and applied statistics.

The PhD program includes two curricula.

1) The curriculum of 'ECONOMIC GEOGRAPHY AND TERRITORIAL STATISTICS' integrates skills at the crossroads between human geography, applied statistics and economics, urban and regional studies. It permits to conduct research of excellence in the field of regional and urban analysis, on topics of strong socio-political relevance. Unique in its kind, it provides PhD students with skills in both critical research based on qualitative methods, and quantitative research based on analytical methods, with a particular emphasis on mixed methods and spatial data analysis.

2) The curriculum of 'MATHEMATICAL AND STATISTICAL MODELS AND METHODS FOR ECONOMICS AND FINANCE' integrates mathematical and statistical skills useful for learning and building complex models for economic analysis, finance and actuarial sciences. It allows PhD students to carry out research of excellence aimed at understanding and forecasting economic and financial dynamics in contexts of uncertainty, in which the management of risk assumes particular importance.

It offers a wide range of advanced courses, also in collaboration with other PhD programs in social and economic sciences and within the PhD School in Economics of La Sapienza.
It promotes a strong orientation towards frontier research, both in terms of themes and methodologies, and provides doctoral students with all the tools they need to successfully continue their career in the academy or in public and private companies.

The PhD program integrates three main disciplinary areas.
The ECONOMIC GEOGRAPHY area promotes research upon the main topics of interest for economic, social and urban geography, integrating qualitative, quantitative methodologies, and spatial data analysis. The topics of interest are regional development; the organization of space; sociospatial inequalities; urban, regional and territorial policies; tourism and the environment.
The MATHEMATICS FOR ECONOMIC-FINANCIAL APPLICATIONS area provides students with the appropriate tools to conduct quantitative research in the fields of economic, financial and actuarial analysis. It explores issues related to quantitative techniques and mathematical modelling, financial assets pricing, the management of financial and insurance risks, game theory and decision theory, behavioral economics.
The STATISTICS area provides students with the skills needed to apply modern quantitative methods to analyze and solve practical problems in the field of economics and the social sciences. It integrates a solid competence in the field of statistics, econometrics, and applied economic methods, with a focus on empirical applications.

The PhD is in English.

Specifiche economiche


Sapienza Scholarships Other Scholarships Departments Without scholarship
6 0 0 0

Themes, curriculum and specific competence




Admission Procedure

Qualifications assessment The evaluation criteria and the relative scores are described in the section 'Evaluation scale'

Candidates who obtained at least 35/80 in their qualifications are admitted to the oral exam.

Oral interview The interview will concern the candidates' profile and qualifications, the research project they have presented, the candidates' skills with respect to the chosen curriculum and research topics, their knowledge of the English language, based on the criteria and scores indicated in the section 'Evaluation scale'.

A of themes and suggested readings for the preparation of the admission is available at the following link: https://drive.google.com/file/d/1LMUBLRMMBfBpthXw6k3W9U6dLyTgk9Tq/view?usp=sharing

The minimum positive score for the oral test is 35/80.
language INGLESE


contacts and info Per informazioni di carattere amministrativo e organizzativo relative al dottorato: chiara.gabrielli@uniroma1.it. Per informazioni amministrative generali riguardanti il concorso di ammissione, si prega di contattare l'ufficio dottorato dell'ateneo. Per informazioni rilevanti ai fini dell'ammissione relative al percorso scientifico, didattico e di ricerca del dottorato, si prega di contattare i coordinatori dei due curriculum: sergio.bianchi@uniroma1.it per il curriculum di ‘Modelli e metodi matematici e statistici per l’economia e la finanza’; filippo.celata@uniroma1.it per il curriculum di 'Geografia economica e statistica territoriale'.

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
Other University Awards/Degrees (e.g.: awards in competition, second degree)
Computer skills

Required documentation

§ degree thesis abstract
optional, the file must be uploaded within le ore 23:59 del 19/06/2025

§ research project
mandatory
Candidates must submit a research project (max 10.000 characters), including: a title; a description of the research topic; a review of the state-of-the-art; a description of the research questions and objectives, and how it aims to advance the state-of-the-art; a description of the methodology; the expected outcomes or findings; the bibliographic references. The aim is mainly to evaluate the candidate's ability and propensity to scientific research, and the coherence of the project with the PhD programme; the correspondence of the project with the research conducted by admitted candidates during their PhD is not compulsory. The Examination Board will evaluate in particular the relevance of the research, its clarity, quality, originality, the candidates’ knowledge of the state-of-the-art, the appropriateness and quality of the methodology, the feasibility of the research, the coherence with the PhD programme., the file must be uploaded within le ore 23:59 del 19/06/2025

§ first letter of introduction (by a teacher)
optional, the letter must be uploaded by the candidate, the file must be uploaded within le ore 23:59 del 19/06/2025

§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the candidate, the file must be uploaded within le ore 23:59 del 19/06/2025

§ List of publications
optional, the file must be uploaded within le ore 23:59 del 19/06/2025

§ letter of motivation (by the candidate)
optional, the file must be uploaded within le ore 23:59 del 19/06/2025

§ Curriculum Vitae et Studiorum
mandatory
Please include and highlight, in particular, all the titles and elements that pertain to the evaluation criteria, organized in sections corresponding to each of the evaluation criteria.

Important: students who did not obtain their titles in an Italian university, must provide in their application all the information that is needed to convert their degree marks to the Italian scale.
, the file must be uploaded within le ore 23:59 del 19/06/2025

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day27/06/2025
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/MODELLI-PER-L%27ECONOMIA,-IL-TERRITORIO-E-LA-FINANZA_nD4045_IT.aspx
date of publication04/07/2025
contactschiara.gabrielli@uniroma1.it

Oral interview
day15/07/2025
notesnone
time10:00
classroomAula Fanfani, quinto piano, ala 'Storia economica', Dipartimento MEMOTEF, Facoltà di Economia
addressVia del Castro Laurenziano 9
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/MODELLI-PER-L%27ECONOMIA,-IL-TERRITORIO-E-LA-FINANZA_nD4045_IT.aspx
date of publication15/07/2025
contactschiara.gabrielli@uniroma1.it


Evaluation scale

Qualifications assessment

Valutazione titoli

Punteggio massimo complessivo per la prova/overall max score: 80

Valutazione voto di laurea magistrale
Master degree evaluation

Punteggio massimo/max score: 12
I candidati in possesso del titolo di laurea magistrale o equivalente, saranno valutati sulla base della prima griglia, con riferimento a votazioni finali espresse in centodecimi. I candidati che non hanno ancora svolto l'esame finale di laurea, saranno valutati sulla base della media delle valutazioni degli esami, come da seconda grigila, con riferimento a votazioni espresse in trentesimi. I candidati che si sono laureati successivamente alla candidatura e in data precedente al colloquio, sono pregati di mostrare alla commissione un certificato del proprio voto di laurea.
Students who already obtained their title, will be evaluated according to the first grid, and based to a final grade expressed in one hundred and tenths (Italian grade scale). Students who have not obtained their title by the date of the interview, but will obtain the degree before October 31st, will be evaluated according to the second grid, on the base of the average grade resulting from the list of the exams, expressed in thirtieths (Italian grade scale). Students who obtained their title after the application deadline and before the interview, are requested to show to the examination board an official document including the final degree mark.

110, 110 e lode
Equal to Italian grade 110, 110 cum laude
12,0
108-109
Equal to Italian grade 108-109
9,0
106-107
Equal to Italian grade 106-107
7,0
103-105
Equal to Italian grade 103-105
5,0
100-102
Equal to Italian grade 100-102
2,0
<100
Equal to Italian grade <100
0,0
29 - 30
Equal to Italian average grade 29 - 30
12,0
28 – 28,99
Equal to Italian average grade 28 - 28.99
9,0
27,5 - 27,99
Equal to Italian average grade 27.5 - 27.99
7,0
27- 27,49
Equal to Italian average grade 27-27.49
5,0
26 - 26.99
Equal to Italian average grade 26 - 26.99
2,0
<26
Less than Italian average grade 26
0,0

Voto di laurea triennale
Bachelor degree evaluation

Punteggio massimo/max score: 10
110, 110 e lode
Equal to Italian grades 110 and 110 cum laude
10,0
105-109
Equal to Italian grade 105-109
8,0
100-105
Equal to Italian grade 100-105
6,0
95-99
Equal to Italian grade 95-99
4,0
90-94
Equal to Italian grade 90-94
2,0
<90
Equal to Italian grade <90
0,0

Esperienze di ricerca e pubblicazioni
Research experiences and publications

Punteggio massimo/max score: 6
The examination board will evaluate the candidate based upon the following information: 1) publications authored or co-authored by the candidate; 2) research activities conducted in qualified universities or research institutes; 3) research grants, contracts, fellowships obtained by the candidate; 4) participation in research networks or groups; 5) presentations in national or international research conferences; 6) prizes and awards obtained by the candidate for his/her research.
The examination board will evaluate the candidate based upon the following information: 1) publications authored or co-authored by the candidate; 2) research activities conducted in qualified universities or research institutes; 3) research grants, contracts, fellowships obtained by the candidate; 4) participation in research networks or groups; 5) presentations in national or international research conferences; 6) prizes and awards obtained by the candidate for his/her research.


Attività di formazione avanzata o postlaurea
Advanced or postgraduate training activities

Punteggio massimo/max score: 6
The examination board will evaluate the candidate’s participation to any training activity, course or teaching program that is sufficiently advanced and coherent with the PhD. The evaluation will be based on the content of the activity, the qualification of the providing institute, the final mark (if available), the degree of coherence with the PhD and with the research project presented by the candidate.
The examination board will evaluate the candidate’s participation to any training activity, course or teaching program that is sufficiently advanced and coherent with the PhD. The evaluation will be based on the content of the activity, the qualification of the providing institute, the final mark (if available), the degree of coherence with the PhD and with the research project presented by the candidate.


Altre esperienze rilevanti
Other relevant experiences

Punteggio massimo/max score: 6
The examination board will evaluate the following: 1) Studying or internship periods conducted abroad, including those conducted within the Erasmus or similar programs. 2) Teaching experiences. 3) Working experiences that are coherent and useful for the purposes of the PhD program. 4) Participation in activities that are coherent with the so-called university’s ‘third mission’, i.e. aimed at the transfer or use of advanced knowledge to help resolve societal challenges or promote innovation, in cooperation with public or private entities and the civil society.
The examination board will evaluate the following: 1) Studying or internship periods conducted abroad, including those conducted within the Erasmus or similar programs. 2) Teaching experiences. 3) Working experiences that are coherent and useful for the purposes of the PhD program. 4) Participation in activities that are coherent with the so-called university’s ‘third mission’, i.e. aimed at the transfer or use of advanced knowledge to help resolve societal challenges or promote innovation, in cooperation with public or private entities and the civil society.


Progetto di ricerca
Research project

Punteggio massimo/max score: 40
Relevance and originality of the project (max)
Relevance and originality of the project (max)
8,0
Knowledge of the state-of-the-art of research on the topic (max)
Knowledge of the state-of-the-art of research on the topic (max)
8,0
Quality of the research strategy, and its potential to advance the state-of-the-art (max)
Quality of the research strategy, and its potential to advance the state-of-the-art (max)
8,0
Quality and appropriateness of the methodology, and feasibility of the research (max)
Quality and appropriateness of the methodology, and feasibility of the research (max)
8,0
Relevance to the educational and scientific objectives of the PhD program (max)
Relevance to the educational and scientific objectives of the PhD program (max)
8,0


Oral interview

Prova orale

Punteggio massimo complessivo per la prova/overall max score: 80

Background knowledge of the most relevant topics relative to the chosen curriculum
Background knowledge of the most relevant topics relative to the chosen curriculum

Punteggio massimo/max score: 20

Knowledge of the literature and methodologies that are relevant to the candidate’s research project
Knowledge of the literature and methodologies that are relevant to the candidate’s research project

Punteggio massimo/max score: 30

Exposure clarity, skills, and appropriate scientific terminology
Exposure clarity, skills, and appropriate scientific terminology

Punteggio massimo/max score: 15

English language
English language

Punteggio massimo/max score: 15


© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma