Call for application 40th cycle

Bando ordinario


Educational goals and objectives

SCHOOL OF STATISTICAL SCIENCES
It aims to train researchers and highly professional figures with specific skills in the study of the population processes in Italy and abroad.
The training activity promotes 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 the study of population, its dynamics, and the interrelations that link the demographic behavior with the economic and social one.
ACTUARIAL SCIENCES
Curriculum in A.S. trains researchers with high scientific qualifications in the Actuarial Sciences.
Study and research activities are strongly focused on quantitative methods for measuring and managing the risks typical of insurance companies and for controlling the company's solvency.
The curriculum is the only one in the current national offering of Ph.D. programs dedicated to advanced research in Actuarial Sciences.
The training project consists of
a) advanced institutional courses (related to private insurance and social security)
b) thematic insights for starting research.
Students are encouraged to spend a period of study and research abroad. Among the destinations recently chosen by Ph.D. students, we can mention ETH Zurich, University of Copenhagen, Cass Business School in London, University of Lausanne.
METHODOLOGICAL STATISTICS
The program aims to train professional figures with highly specialized skills 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 project consists of
a) advanced institutional courses
b) monographic courses
c) start-up research seminars.
Institutional training is provided by advanced courses in a variety of subject areas, including Real Analysis, Optimization, Probability, Stochastic Processes, Advanced Inference and Multivariate Statistics.
The introduction to research is the primary objective of the program and is achieved through the identification of a concrete and relevant problem, supervised by faculty from within and/or outside the Board. It leads, over the course of the three years, to original results and the doctoral thesis.
Ph.D. students are encouraged to spend (extended) periods of study abroad, visiting internationally recognized universities and research centers such as the University of California, the University of Glasgow, Harvard University, Novartis (Switzerland), the Bielefeld University.

During the program, all Ph.D. students are encouraged to actively participate in all Department activities and research initiatives, and are involved in various funded research programs at national and international levels.

Specifiche economiche

Tipologia 1: DM629
Transizione digitale Generiche Pubblica Amministrazione Patrimonio culturale
0 0 1 0

Tipologia 2: DM630 Tipologia 3: Partenariati estesi Tipologia 4: Enti terzi ed Eccellenza Tipologia 5: Sapienza
0 0 5 8

Senza borsa
2

Themes, curriculum and specific competence

Borse ex D.M. 629: 1



Borse ENTI TERZI, PARTENARIATI ESTESI, ECCELLENZA


Tematica: Valutazione a livello di popolazione di bisogni sanitari, accesso alle cure e impiego di risorse nella storia naturale delle patologie oncologiche
Ente finanziatore: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Competenze richieste: nessuna competenza specifica richiesta
- Population-level assessment of health care needs, access to care, and resource use in the natural history of cancer diseases
Founded by: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Required skills: no specific skill required

Tematica: Intelligenza artificiale nel campo della medicina
Ente finanziatore: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Competenze richieste: nessuna competenza specifica richiesta
- Artificial intelligence in medicine
Founded by: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Required skills: no specific skill required

Tematica: Sviluppo di indicatori di umanizzazione delle cure per i pazienti con malattia rara
Ente finanziatore: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Competenze richieste: nessuna competenza specifica richiesta
- Development of indicators of care humanization for patients with rare diseases
Founded by: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Required skills: no specific skill required

Tematica: L'utilizzo dei dispositivi medici impiantabili e il loro impatto sulla salute dei pazienti
Ente finanziatore: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Competenze richieste: nessuna competenza specifica richiesta
- The use of implantable medical devices and their impact on patient health
Founded by: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Required skills: no specific skill required

Tematica: Progetto P.I.T.E.R. Gestione e analisi di dati complessi finalizzata alla definizione del profilo epidemiologico e allo studio dei determinanti di salute in pazienti provenienti da una rete di centri clinici multidisciplinari
Ente finanziatore: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Competenze richieste: nessuna competenza specifica richiesta
- P.I.T.E.R. Project management and analysis of complex data for epidemiologic profiling and study of health determinants in patients from a network of multidisciplinary clinical centers
Founded by: ISTITUTO SUPERIORE DI SANITÀ (ISS)
Required skills: no specific skill required


Admission Procedure

Qualifications assessment The following will be evaluated (see Evaluation Criteria)
1) Course of university studies
2) publications
3) scientific background, taking into account any national and international research experience, training courses and research grants.

Oral interview The oral exam will consist in: the discussion of the summary of the Master thesis or the research project presented; the discussion on basic topics related to the curriculum chosen, publications and other titles and qualifications presented.
language ITALIANO
INGLESE


contacts and info Sito web: https://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544.aspx Email: dottoratodss@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-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

§ degree thesis abstract
mandatory
An abstract describing the Master thesis work (even if still in progress), the file must be uploaded within le ore 23:59 del 20/06/2024

§ 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 le ore 23:59 del 20/06/2024

§ first letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il le ore 23:59 del 02/07/2024
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 le ore 23:59 del 02/07/2024
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, the file must be uploaded within le ore 23:59 del 20/06/2024

§ 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 le ore 23:59 del 20/06/2024

§ Curriculum Vitae et Studiorum
mandatory
Recommended Europass CV, the file must be uploaded within le ore 23:59 del 20/06/2024

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day08/07/2024
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544_IT.aspx
date of publication08/07/2024
contactsemail: dottorato-dss@uniroma1.it, and Chiara Nepi: 0649910768

Oral interview
day10/07/2024
notesnone
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 publication12/07/2024
contactsemail: dottorato-dss@uniroma1.it and Chiara Nepi: 0649910768


Day of publication of the final outcome: 12/07/2024

Evaluation scale

Qualifications assessment english version

Oral interview english version

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