Call for application 38° cycle


Educational goals and objectives

SCHOOL OF STATISTICAL SCIENCES
The Ph.D. Programme "School of Statistical Sciences" consists of three curricula:
(a) Demography; (b) Actuarial Sciences; (c) Methodological Statistics.
The programme offers different courses to the PhD studentes:
a) advanced courses (in the table referred to as corso base)
b) monographic courses (in the table referred to as corso specialistico
c) research seminars
During the course, students are encouraged to spend a (long) period abroad, workin in the most active research and academic realities, and to participate in all Department activities, ranging from seminars, scientific meeting, reading groups, as well as in national and international meetings and workshops.

DEMOGRAPHY
The doctoral program in Demography aims to train researchers and highly professional figures for all the roles where specific skills in the study of population processes are required. The training of the curriculum Demography aims at providing to doctoral students a solid knowledge of the conceptual tools and methodologies for the study of population, its dynamics, and interrelationships between demographic economic and social behaviours. The doctoral training activities are strongly multidisciplinary and advanced courses are shared with the European Doctoral School of Demography the curriculum actively participates in.
ACTUARIAL SCIENCES
The aim of the doctoral program in Actuarial Sciences is to define figures with highly specialized skills in Actuarial science for university teaching and research careers, and for industrial and governmental positions involving research in this area, both in Italy and abroad. The main topics of interest of the curriculum include Actuarial Mathematics, Life and NonLife Insurance Mathematics, Pensions Mathematics, Risk theory, Reinsurance, Solvency, Economics of Insurance, Financial Mathematics. The curriculum is, currently, the only one in Italy specifically oriented towards Actuarial Sciences.
METHODOLOGICAL STATISTICS
The aim of the doctoral program in Methodological Statistics is to prepare students for university teaching and research careers, as well as for industrial and governmental positions involving research in new statistical methods, in Italy and abroad. The program aims to create a figure with highly specialized skills in all the fields related to the "data production, dissemination and analysis" process, including planning of surveys (observational studies) and experiments, implementation of methodologies, data analysis, presentation of results. Advanced courses ranges from Probability to Applied statistics (mainly in ecological and medical sciences). Students are asked to deal with open, relevant research topics under the supervision of senior researchers from Sapienza University and/or other international research institutions. Results of this research activity leads to a final doctoral thesis.

Specifiche economiche

Tipologia 1: DM118
Transizione digitale Generiche Pubblica Amministrazione Patrimonio culturale

Tipologia 2: DM117 Tipologia 3: PE/PNC/CN/TP Tipologia 4:Enti terzi
PE/PNC CN/TP
0 0 5

Tipologia 5: Sapienza Senza borsa
6 2

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

C - PNRR351 - sul curriculum: STATISTICA METODOLOGICA

- Statistical learning for the evaluation of coastal and marine services
Competenze richieste: nessuna competenza specifica richiesta
- Statistical learning for the evaluation of coastal and marine services
Required skills: no specific skill required

C - PNRR351 - sul curriculum: DEMOGRAFIA

- Analisi delle componenti socio- demografiche delle disuguaglianze nel percorso diagnostico terapeutico riabilitativo delle persone affette da patologie neurologiche croniche
Competenze richieste: nessuna competenza specifica richiesta
- Analysis of inequalities in the socio-demographic components of diagnostic and rehab path for patients with chronic neurological diseases
Required skills: no specific skill required

F - ENTI TERZI - non associata a curriculum

- Sviluppo di metodi statistico epidemiologici per l’analisi delle malattie di origine ambientale ed occupazionale
Ente finanziatore: INAIL
Competenze richieste: nessuna competenza specifica richiesta
- Statistical and epidemiological methods for the analysis of occupational and environmental health issues
Founded by: INAIL
Required skills: no specific skill required

F - ENTI TERZI - sul curriculum: STATISTICA METODOLOGICA

- Analisi statistica per la valutazione del rischio in sicurezza alimentare
Ente finanziatore: Istituto Superiore di Sanità
Competenze richieste: nessuna competenza specifica richiesta

F - ENTI TERZI - sul curriculum: STATISTICA METODOLOGICA

- Metodologia statistica per trial clinici con disegni adattativi.
Ente finanziatore: Istituto Superiore di Sanità
Competenze richieste: nessuna competenza specifica richiesta

F - ENTI TERZI - sul curriculum: STATISTICA METODOLOGICA

- Stime modellistiche di indicatori statistici di impatto ed esito dei tumori nella popolazione generale.
Ente finanziatore: Istituto Superiore di Sanità
Competenze richieste: nessuna competenza specifica richiesta

F - ENTI TERZI - sul curriculum: STATISTICA METODOLOGICA

- Studio e implementazione di modelli statistici per l’analisi di dati correnti (SDO) e di dati di registro
Ente finanziatore: Istituto Superiore di Sanità
Competenze richieste: nessuna competenza specifica richiesta

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


Admission Procedure

Qualifications assessment The evaluation of qualifications is made by the Examination Board. Each
candidate will receive a score; the maximal score per candidate is 60 (sixty)
points. To gain admission to the oral examination, candidates must reach a minimum score
of 40/60 (forty/sixty).

Oral interview In order to pass the oral examination and be considered eligible for the competition, a
minimum score of 40/60 (forty/sixty) is required. The oral examination is composed by:
1. Discussion of the summary of the Master thesis or the research project presented (0-30 points);
2. Discussion on basic topics related to the chosen curriculum, publications or
other titles and qualifications presented (0-30 points);
3. Test of english.
language ITALIANO
INGLESE


contacts and info Sito web: https://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544.aspx Email: dottorato-dss@uniroma1.it Tel.: 06 49910681
more info Any further information, updates or changes will be published as soon as possible on the Ph.D. website:
https://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544.aspx

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

§ research project
mandatory, the file must be uploaded within 25/08/2022

§ first letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 25/08/2022 ore 14.00

§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 25/08/2022 ore 14.00

§ List of publications
optional, the file must be uploaded within 25/08/2022

§ Motivation letter containing the indication of chosen curriculum (by the candidate )
mandatory
Use the attached form you can download here. At least one curriculum preference must be indicated, the file must be uploaded within 25/08/2022

§ other document: Photo ID
mandatory, the file must be uploaded within 25/08/2022

§ Curriculum Vitae et Studiorum
mandatory, the file must be uploaded within 25/08/2022

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day05/09/2022
notesNON è richiesta la presenza dei candidati. La valutazione dei titoli potrebbe protrarsi fino al 06/09/22
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544.aspx
date of publication06/09/2022
contactsdottorato-dss@uniroma1.it

Oral interview
day07/09/2022
notesLa prova orale potrebbe protrarsi fino al 08/09/2022
time09:00
classroomSala 49 - 4° piano - Edificio CU002 Fac. di Ing. dell'Inform., Inform. e Statistica (Città Universitaria)
addressSapienza Università di Roma - Piazzale A. Moro 5, Roma
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544.aspx
date of publication09/09/2022
contactsdottorato-dss@uniroma1.it

Evaluation scale

file:visualizza il file
file (eng):visualizza il file (eng)

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