Call for application 39th cycle

Bando ordinario (expired 22/06/2023)


Educational goals and objectives

COMPUTER SCIENCE
The PhD in Computer Science aims to prepare PhD researchers in all major areas of Computer Science research. The PhD aims to provide high-quality training in line with the highest international standards. The PhD College includes among its members the winners of ERC grants, IBM Faculty Award, Google Faculty Awards, Google Focused Awards, and Marie Curie Fellowship.

Our PhD researchers must be able to independently carry out and coordinate research activities in the academic world or international research institutes. Depending on their training, they should also be able to conceive and direct innovative computer system development projects to address complex, interdisciplinary problems emerging in cutting-edge industrial spheres. To this end, PhD candidates must acquire a solid foundation in both the fundamentals and applied aspects of various fields of Computer Science, understand thoroughly the scientific method of investigation, comprehend and utilize the methodological tools of other disciplines that support Computer Science and its applications, learn to evaluate, understand and interpret problems, even complex ones, characteristic of various application fields.

In recent years, more specific research, teaching, and seminar initiatives have been undertaken to deepen candidates' knowledge in the areas of networks, distributed algorithms, theoretical computer science, software engineering, computer security, big data, artificial intelligence, and computer vision. This is a natural consequence of the strong interest that these areas have among the College's members, substantiated and supported by numerous international awards and the presence of substantial funding obtained in this area through national and European projects.

Some projects, such as European Centers of Excellence networks, Erasmus+ and Erasmus Mundus programs, the Vinci program, provide specific funds to allow PhD students to spend short periods at the locations of other entities participating in the Centers of Excellence network.

In general, participation in research activities financed nationally and in Europe helps to deepen the competencies of PhD students in areas of particular theoretical and practical relevance, and collaboration with researchers from other institutions. Therefore, participation in funded projects is encouraged, considering it to have a significant educational impact. Also, training activities aimed at supporting the development of cross-cutting skills (ability to write and manage research projects on competitive calls, ability to develop innovation in its various declinations ranging from innovative entrepreneurship to the generation, protection, and exploitation of intellectual property) are provided.

Specifiche economiche

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

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

Tipologia 5: Sapienza Senza borsa
4 2

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

C_PA - DM118 P.A. - non associata a curriculum

- Nuove frontiere dell'informatica
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- New frontiers in computer science
Founded by: PNRR
Required skills: no specific skill required

C_PNRR - DM118 GENERICHE - non associata a curriculum

- Nuove frontiere dell'informatica
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- New frontiers in computer science
Founded by: PNRR
Required skills: no specific skill required

C_TD - DM118 TRANSIZIONE - non associata a curriculum

- Nuove frontiere dell'informatica
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- New frontiers in computer science
Founded by: PNRR
Required skills: no specific skill required

PNC - PIANO NAZIONALE COMPLEMENTARE - non associata a curriculum

- AI for automated health state prediction through the Digital Twin approach
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- AI for automated health state prediction through the Digital Twin approach.
Founded by: PNRR
Required skills: no specific skill required

PNC - PIANO NAZIONALE COMPLEMENTARE - non associata a curriculum

- PNC D3 4 Health (Digital Driven Diagnostics, prognostics and therapeutics for sustainable Health care) - SPOKE 3 Wearable technologies, sensors and biomarkers for care through Digital Twin approaches
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta

Il candidato sceglierà una tematica in fase di presentazione della candidatura on line


Admission Procedure

Qualifications assessment Evaluation of the documents filed by the candidate, with reference to the area of
computer science and related interdisciplinary topics.

Oral interview Evaluation of the candidate's background, research attitude, objectives, achievements, and of the potential to perform scientific research in the area of computer science and related interdisciplinary topics.
language INGLESE
ITALIANO


contacts and info rodola@di.uniroma1.it
more info A PhD in computer science can be highly cross-disciplinary; candidates from other scientific disciplines, including mathematics, physics, or other, are therefore encouraged.

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

§ research project
mandatory, 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)

§ 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)

§ letter of motivation (by the candidate)
mandatory, 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
day17/07/2023
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/INFORMATICA_nD3507.aspx
date of publication19/07/2023
contactsrodola@di.uniroma1.it

Oral interview
day24/07/2023
notesnone
time10:00
classroomAula Seminari
addressvia Salaria 113, terzo piano, 00198 Roma, Italia
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/INFORMATICA_nD3507.aspx
date of publication26/07/2023
contactsrodola@di.uniroma1.it

Evaluation scale

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

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