Call for application 40th cycle

Bando ordinario


Educational goals and objectives

DATA SCIENCE
Data Science is an interdisciplinary field of study that has established itself in recent years in order to offer the methodological tools and technologies necessary for the management and analysis of big data and their valorisation in industry, services, and search. The phenomenon of big data has revolutionized countless sectors of economic-social activity. The phenomenon of big data has also profoundly modified the research methodologies and the development of technological innovation in numerous disciplines and applications. The main objective of this PhD is the realization of interdisciplinary research projects of Data Science that lead to the development of innovative methodologies and technologies based on the use of big data in the following fields of application:

i) Advanced digital platforms,
ii) Management of urban spaces and environmental resources
iii) Medicine and health
iv) Economic and Social Analysis

Data Science receives the decisive contribution of computer science, statistics, engineering, applied mathematics, and academic disciplines that help to understand the impact of big data in applications.

Specifiche economiche

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

Tipologia 2: DM630 Tipologia 3: Partenariati estesi Tipologia 4: Enti terzi ed Eccellenza Tipologia 5: Sapienza
1 0 0 (+2*) 5

Senza borsa Annotazioni
2 * Dopo la pubblicazione del bando sono state finanziate 2 borse dal Dipartimento di Ingegneria Informatica, Automatica e Gestionale “Antonio Ruberti” su fondi PNRR RI Sobigdata.it

Themes, curriculum and specific competence


Borse ex D.M. 630: 1



Admission Procedure

Qualifications assessment The Admission Committee assigns to each candidate a maximum score of 60 points. Scores are assigned according to the evaluation criteria the Board of Faculty of the Ph.D defines. Program, and reported below:

- up to 30 points for the evaluation of the curriculum (including the academic career and any other qualifications), the letters of recommendation supporting the candidate, and the publications presented by the candidate;

- up to 30 points for the research proposal submitted by the candidate. In particular, the commission evaluates the description of the state of the art, the originality and the innovative nature of the proposal, the clarity and completeness of the objectives, the methodologies and the potential results, the relevance of the proposal with respect to the themes and the objectives of the Ph.D. program. Candidates obtaining a minimum score of 36/60 in the evaluation of qualifications and of the research proposals are invited for an interview.

Oral interview The Admission Committee assigns a maximum of 60 points to each candidate
admitted to the interview. A score of at least 36 is required for the admission.The interview is in English and aims to assess the candidates' knowledge, skills, and aptitude to conduct research in the scientific areas of Data Science. The interview also includes a presentation with slides of the research proposal prepared by the candidate and of personal motivations for applying for a Ph. D. position. The duration of the interview is at most 30 minutes (the candidate's research proposal presentation must take no longer than 15 minutes). The minimum overall score for admission to the Ph.D. in Data Science is 72/120.
language INGLESE


contacts and info Email: dottoratods@diag.uniroma1.it Web: https://phd.uniroma1.it/web/DATA-SCIENCE_nD3565_IT.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
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
certificates of Participation in internships
Other University Awards/Degrees (e.g.: awards in competition, second degree)
Computer skills

Required documentation

§ research project
mandatory
8000 characters, spaces included, bibliographic references excluded., 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 candidate, the file must be uploaded within le ore 23:59 del 20/06/2024

§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the candidate, the file must be uploaded within le ore 23:59 del 20/06/2024

§ publications (a single pdf for each publication)
optional, the file must be uploaded within le ore 23:59 del 20/06/2024

§ Curriculum Vitae et Studiorum
mandatory, 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
day03/07/2024
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/DATA-SCIENCE_nD3565_IT.aspx
date of publication08/07/2024
contactsdottoratods@diag.uniroma1.it

Oral interview
day22/07/2024
notesnone
time09:30
classroomB203 - DIAG Department
addressVia Ariosto 25, Roma
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/DATA-SCIENCE_nD3565_IT.aspx
date of publication24/07/2024
contactsdottoratods@diag.uniroma1.it


Day of publication of the final outcome: 24/07/2024

Evaluation scale

Qualifications assessment english version

Oral interview english version

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