Call for application 38° cycle BANDO AGGIUNTIVO


Educational goals and objectives

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 2

Tipologia 5: Sapienza Senza borsa
0 0

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

F - ROME TECHNOPOLE - non associata a curriculum

- Advances in topological data analysis and deep learning with application to astronomical imaging
Ente finanziatore: borsa PNRR “Infrastrutture di ricerca” Progetto: STILES - STrengthening the Italian Leadership in ELT and SKA
Competenze richieste: nessuna competenza specifica richiesta
- Advances in topological data analysis and deep learning with application to astronomical imaging
Founded by: borsa PNRR “Infrastrutture di ricerca” Progetto: STILES - STrengthening the Italian Leadership in ELT and SKA
Required skills: no specific skill required

F - ROME TECHNOPOLE - non associata a curriculum

- Robust and Interpretable Machine Learning Algorithms
Ente finanziatore: borsa PNRR “Infrastrutture di ricerca” Progetto: SoBigData- Strengthening the Italian RI for Social Mining and Big Data Analytics
Competenze richieste: nessuna competenza specifica richiesta
- Robust and Interpretable Machine Learning Algorithms
Founded by: borsa PNRR “Infrastrutture di ricerca” Progetto: SoBigData- Strengthening the Italian RI for Social Mining and Big Data Analytics
Required skills: no specific skill required

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
defined by the Board of Faculty of the
Ph.D. 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 recommendations 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 proposal 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 is aimed
to assessing the candidates' knowledge,
skills, and aptitude to carry out research
in the scientific areas of Data Science.
The interview also includes a discussion
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 45 minutes (the presentation of
the research proposal by the candidate
must be 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 Stefano Leonardi (coordinatore)dottoratods@diag.uniroma1.it Sito web: https://phd.uniroma1.it/web/concorso38.aspx?i=3565&l=IT

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

§ research project
mandatory
The project should not exceed the maximum length of 8000 characters
(spaces included).
, the file must be uploaded within 20/03/2023 entro le ore 14.00

§ Curriculum Vitae et Studiorum
optional
At most 4000 characters (spazi inclusi). Indicate specific topic of interests among the
fellowships funded by external bodies or research projects.
, the file must be uploaded within 20/03/2023 entro le ore 14.00

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day23/03/2023
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/DATA-SCIENCE_nD3565.aspx
date of publication23/03/2023
contactsdottoratods@diag.uniroma1.it

Oral interview
day24/03/2023
notesnone
time09:00
classroomB203
addressDIAG - Via Ariosto 25, Roma
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/DATA-SCIENCE_nD3565.aspx
date of publication24/03/2023
contactsdottoratods@diag.uniroma1.it

Evaluation scale

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

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