Call for application 39th cycle

Bando ordinario (expired 22/06/2023)


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 4 0

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

Tipologia 5: Sapienza Senza borsa
4 2

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

C_PA - DM118 P.A. - sul curriculum: DEMOGRAFIA

- La misura del benessere dei bambini e dei ragazzi. Evidenze a supporto delle politiche per l'infanzia e l'adolescenza.
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- The measure of the well-being of children and young people. Evidence to support policies for children and adolescents.
Founded by: PNRR
Required skills: no specific skill required

C_PA - DM118 P.A. - sul curriculum: STATISTICA METODOLOGICA

- Metodologie statistiche per il supporto alle decisioni in contesto sanitario pubblico: stima dell’impatto degli eventi climatici estremi sulla salute della popolazione generale e la costruzione di modelli di allerta rapida
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- Statistical methodologies for decision support in the public health context: estimation of the impact of extreme climatic events on the health of the general population and construction of early warning models
Founded by: PNRR
Required skills: no specific skill required

C_PA - DM118 P.A. - sul curriculum: STATISTICA METODOLOGICA

- Metodi statistici per la pianificazione territoriale e l'analisi della mobilità sanitaria
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- Statistical methods for territorial planning and analysis of healthcare mobility
Founded by: PNRR
Required skills: no specific skill required

C_PA - DM118 P.A. - sul curriculum: STATISTICA METODOLOGICA

- Strumenti statistici per decisioni in condizioni di incertezza
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- Statistical tools for decisions under conditions of uncertainty
Founded by: PNRR
Required skills: no specific skill required

F - ENTI TERZI - sul curriculum: STATISTICA METODOLOGICA

- Inquinamento atmosferico e salute: effetti acuti e cronici, aspetti metodologici
Ente finanziatore: ASL ROMA 1 - Dipartimento di Epidemiologia del S.S.R. del Lazio
Competenze richieste: nessuna competenza specifica richiesta
- Air pollution and health: acute and chronic effects, methodological aspects
Founded by: ASL ROMA 1 - Dipartimento di Epidemiologia del S.S.R. del Lazio
Required skills: no specific skill required

F - ENTI TERZI - sul curriculum: STATISTICA METODOLOGICA

- Analisi dati per l’ottimizzazione degli orari ferroviari
Ente finanziatore: TRENITALIA - GRUPPO FERROVIE DELLO STATO
Competenze richieste: nessuna competenza specifica richiesta
- Data-Driven optimization for railways time tabling problems
Founded by: TRENITALIA - GRUPPO FERROVIE DELLO STATO
Required skills: no specific skill required

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

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

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
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., the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)

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

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

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

§ Curriculum Vitae et Studiorum
mandatory, 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
day12/07/2023
notesNON è richiesta la presenza dei candidati.
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544_IT.aspx
date of publication12/07/2023
contactsemail: dottorato-dss@uniroma1.it, and Chiara Nepi: 06.49910768

Oral interview
day13/07/2023
notesLa prova orale potrebbe essere suddivisa su più a giorni (13 , 17 e 18 luglio) a seconda del numero di domande. The interviews may by organized on more than one day and online starting on Jyly 13 and ending at the latest on July 18.
time09:00
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_IT.aspx
date of publication18/07/2023
contactsemail: dottorato-dss@uniroma1.it, and Chiara Nepi: 06.49910768

Evaluation scale

file:visualizza il file
file (eng):visualizza il file (eng)
note:The minimal English level required is B2 (certifications are not mandatory)

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