Call for application 39th cycle

Bando ordinario (expired 22/06/2023)


Educational goals and objectives

MODELS FOR ECONOMICS AND FINANCE
The PhD program is designed to provide PhD students 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. It offers a wide range of advanced courses, also in collaboration with other PhD programs in social and economic sciences of Sapienza University. 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 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.

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.

Specifiche economiche

Tipologia 1: DM118
Transizione digitale Generiche Pubblica Amministrazione Patrimonio culturale
0 0 3 1

Tipologia 2: DM117 Tipologia 3: PE/PNC/CN/TP Tipologia 4:Enti terzi
PE/PNC CN/TP
0 0 0 0

Tipologia 5: Sapienza Senza borsa
2 0

Tematiche, curriculum e competenze specifiche
Themes, curriculum and specific competence

C_PA - DM118 P.A. - sul curriculum: MODELLI E METODI MATEMATICI E STATISTICI PER L’ECONOMIA E LA FINANZA

- Analisi e gestione delle poste a vista attraverso l’utilizzo dell’intelligenza artificiale
Ente finanziatore: PNRR
Competenze richieste: Modelli matematici per la finanza, analisi dati, conoscenza software (Matlab/Python/R)
- Analysis and management of demand deposits through the use of artificial intelligence
Founded by: PNRR
Required skills: Mathematical models for finance, data analysis, software knowledge (Matlab/Python/R)

C_PA - DM118 P.A. - sul curriculum: MODELLI E METODI MATEMATICI E STATISTICI PER L’ECONOMIA E LA FINANZA

- Disegno ed implementazione di sistemi integrati previsionali mediante l’utilizzo dell’I.A.
Ente finanziatore: PNRR
Competenze richieste: Modelli matematici per la finanza, analisi dati, conoscenza software (Matlab/Python/R)
- Design and Implementation of integrated forecasting systems using A.I.
Founded by: PNRR
Required skills: Mathematical models for finance, data analysis, software knowledge (Matlab/Python/R)

C_PA - DM118 P.A. - sul curriculum: GEOGRAFIA ECONOMICA E STATISTICA TERRITORIALE

- Condizione abitativa e nuove politiche dell’abitare a Roma
Ente finanziatore: PNRR
Competenze richieste: Il progetto di ricerca richiede una particolare predisposizione allo sviluppo di competenze multi-disciplinari a cavallo tra geografia economica, studi urbani, analisi dati e statistica economica, e flessibilità all’uso di fonti informative e metodologie differenti di natura quantitativa, qualitativa e mista.
- Housing conditions and new housing policies in Rome
Founded by: PNRR
Required skills: The research project requires a particular predisposition to the development of multi-disciplinary skills between economic geography, urban studies, data analysis and economic statistics, and flexibility in the use of different information sources and methodologies that are quantitative, qualitative and mixed.

C_PC - DM118 PATRIMONIO - sul curriculum: GEOGRAFIA ECONOMICA E STATISTICA TERRITORIALE

- Cultural deserts: accessibilità, fruizione e potenziale delle infrastrutture culturali tra centri e periferie
Ente finanziatore: PNRR
Competenze richieste: Il progetto richiede una particolare predisposizione allo sviluppo di competenze multi-disciplinari a cavallo tra geografia economica, statistica economica, studi regionali e urbani, e flessibilità nell’uso di fonti informative e metodologie differenti di analisi territoriale e geospaziale, di natura quantitativa, qualitativa e mista.
- Cultural deserts: accessibility, use and potential of cultural infrastructures in central and peripheral places
Founded by: PNRR
Required skills: The project requires a predisposition to the development of multi-disciplinary skills in between economic geography, economic statistics, regional and urban studies, and flexibility in the use of various information sources, and different methodologies for territorial and geospatial analysis that are quantitative, qualitative and mixed.

Il candidato sceglierà una tematica in fase di presentazione della candidatura on line


Admission Procedure

Qualifications assessment The evaluation of the application will take place on July 6th 2023. The results will be communicated by 11 July 2023.
The evaluation criteria and the relative scores are described in the 'Evaluation Scale' section and in the relative attachment on the PhD website, on the 'Call for application' page.

Oral interview Candidates who obtain a positive assessment of their application will be interviewed on July 18th 2023, 9:30 am, in the Di Fresco room, fourth floor of the Faculty of Economics, administration corridor, Department MEMOTEF.
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.
A list of themes and suggested readings for the preparation of the admission is available at this link: https://web.uniroma1.it/memotef/sites/default/files/PhD_readings_admission_2022.pdf

The final results will be published on the PhD website.
language INGLESE
ITALIANO


contacts and info filippo.celata@uniroma1.it (Coordinator). https://phd.uniroma1.it/web/MODELS-FOR-ECONOMICS-AND-FINANCE_nD3524_EN.aspx
more info Please contact gabriele.jori@uniroma1.it for administrative issues regarding the PhD, or the university PhD office for issues regarding admission procedures.

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 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 22/06/2023 ore 14:00 (ora italiana)

§ 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.
Applicants are advised to submit a project in line with one of the 'borse finanziate' (funded scholarships).
, the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)

§ first letter of introduction (by a teacher)
optional, the letter must be uploaded by the candidate, the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)

§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the candidate, the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)

§ List of publications
optional, the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)

§ letter of motivation (by the candidate)
optional, the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)

§ other document: Module for the choice of the curriculum
mandatory
The module is available at the following link: https://web.uniroma1.it/memotef/sites/default/files/PhD_curriculum_choice_0.docx, the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)

§ Curriculum Vitae et Studiorum
mandatory
Please include and highlight, in particular, all the titles and elements that pertain to the evaluation criteria., the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day06/07/2023
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/MODELLI-PER-L'ECONOMIA-E-LA-FINANZA_nD3524_IT.aspx
date of publication11/07/2023
contactsfilippo.celata@uniroma1.it

Oral interview
day18/07/2023
notesnone
time09:30
classroomAula Di Fresco, quarto piano, ala amministrazione Dipartimento MEMOTEF
addressVia del Castro Laurenziano 9, 00161 - Roma
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/MODELLI-PER-L'ECONOMIA-E-LA-FINANZA_nD3524_IT.aspx
date of publication19/07/2023
contactsfilippo.celata@uniroma1.it

Evaluation scale

file:visualizza il file
file (eng):visualizza il file (eng)
note:In sede di candidatura si suggerisce di selezionare tutte le 'borse finanziate' comunque di interesse e coerenti con il proprio profilo. / When applying, candidates are suggested to select all the 'borse finanziate' (funded scholarships) that are available and coherent with their profile.

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