Call for application 39th cycle

Additional call (deadline 13/10/2023)


Educational goals and objectives

SCHOOL OF STATISTICAL SCIENCES
The Ph.D. in "School of Statistics" is divided into three curricula:
ACTUARIAL SCIENCES
It aims to train researchers with high scientific qualifications in A.S.
The study and research activities include actuarial models for private insurance, pension provision, risk theory, reinsurance, solvency, risk economics and insurance, and mathematical finance.
The curriculum is the only one in the current national offer of Doctoral Courses dedicated to the advanced research of Actuarial Sciences.
The training offered is divided into:
a) advanced institutional courses (basic)
b) Thematic insights for research initiation (specialist)
Ph.D. students are encouraged to spend a period of study and research abroad. Some destinations are ETH Zurich, Cass Business School London, Imperial College London, University of Lausanne, University of Waterloo, SCOR Zurich, and University Paris 1 Panthéon-Sorbonne.
DEMOGRAPHY
It aims to train researchers and highly professional figures specific to studying population processes in Italy and abroad.
The training activity enhances a multidisciplinary vision shared within the European Doctoral School of Demography without sacrificing a methodological base. It provides the conceptual and methodological tools necessary for studying the population, its dynamics, and the interrelations that link demographic behaviors with economic and social ones.
STATISTICAL METHODOLOGY
It aims to train highly professional figures 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.
The training offered is divided into the following:
a) advanced institutional courses (general training)
b) monographic courses (subject-related studies)
c) Start-up research seminars
The introduction to research is the primary objective of the three years. It is achieved by identifying a concrete and relevant methodological problem developed by the Ph.D. student with the supervision of internal and/ or external supervisors. It leads to original results and the compilation of the doctoral thesis. Ph.D. students are encouraged to spend periods of study abroad. Some examples are Harvard University, UCLA, Southampton University, King's College, Georg-August-Universität Göttingen, and many others with which a profitable and stable exchange relationship has been established over the years.
During the three years, the Ph.D. students of each curriculum are involved, with an active role, in the cultural initiatives organized by the Department of Statistical Sciences: seminars, study days, scientific meetings of research groups, workshops, and conferences, both national and international. Depending on their interests, they are included in the various research programs funded at University, national and international levels.

Specifiche economiche

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

Tipologia 2: DM117 Tipologia 3: PE/PNC/CN/TP Tipologia 4:Enti terzi
PE/PNC CN/TP
0 0 0 1

Tipologia 5: Sapienza Senza borsa
0 0

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

F - ENTI TERZI - sul curriculum: STATISTICA METODOLOGICA

- Metodi di Valutazione comparativa di efficacia di interventi sanitari nella pratica clinica
Ente finanziatore: ISTITUTO SUPERIORE DI SANITA'
Competenze richieste: nessuna competenza specifica richiesta
- Methods for the comparative evaluation of the efficacy of health interventions in clinical practice
Founded by: ISTITUTO SUPERIORE DI SANITA'
Required skills: no specific skill required

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

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-SCIENZESTATISTICHE_nD3544.aspx Email: dottorato-dss@uniroma1.it Tel.: 06 49910768
more info Any further information, updates or changes will be published as soon as they'll be available on the Ph.D. website: https://phd.uniroma1.it/web/SCUOLA-DI-SCIENZESTATISTICHE_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
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., the file must be uploaded within entro il 13/10/2023 (ore 23:59)

§ research project
optional
Short description of the methodological fields the candidate would like to study during the Ph.D. It may start from the master thesis description., the file must be uploaded within entro il 13/10/2023 (ore 23:59)

§ first letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il entro il 13/10/2023 (ore 23:59)
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. Other methods of sending will not be accepted.


§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il entro il 13/10/2023 (ore 23:59)
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. Other methods of sending will not be accepted.


§ List of publications
optional
publications list, the file must be uploaded within entro il 13/10/2023 (ore 23:59)

§ letter of motivation (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 entro il 13/10/2023 (ore 23:59)

§ Curriculum Vitae et Studiorum
mandatory, the file must be uploaded within entro il 13/10/2023 (ore 23:59)

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day17/10/2023
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544.aspx
date of publication17/10/2023
contactsdottorato-dss@uniroma1.it

Oral interview
day17/10/2023
notesnone
time11:00
classroomsala 49
addressEdificio CU002 (statistica 4 piano) P.le Aldo Moro 5
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544.aspx
date of publication18/10/2023
contactsdottorato-dss@uniroma1.it

Evaluation scale

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

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