Call for application 39th cycle

Bando ordinario (expired 22/06/2023)


Educational goals and objectives

ENGINEERING IN COMPUTER SCIENCE
The goal of the Ph.D. in Engineering in Computer Science is to train:

i) experts in computer science and engineering able to develop new technologies and methodologies both in academia and in public and private research institutions;
ii) specialists of very high professional level with engineering skills able to transfer technological and methodological advances into leading application sectors such as informatics, artificial intelligence, robotics, security, in industrial contexts, as well as in services and public administration.

The members of the Ph.D. board have a very relevant publication record, they continuously coordinate and participate in international and national research projects, as well as technology transfer projects in collaboration with industrial partners. This scenario gives many possibilities for PhD students to collaborate with top-level researchers worldwide.
At the end of the term, PhDs are employed in prestigious academic and industrial institutes in Italy and abroad. In the recent past, a significant number of PhDs has been involved in the creation of start-ups with a strong focus on innovation.


Areas of interest of the Ph.D. in Computing Science and Engineering include:

Computer architectures and networks
Algorithm engineering and complexity analysis
Software engineering
Artificial intelligence and Knowledge representation
Artificial Intelligence and Robotics
Information systems
Databases
Distributed Systems
Web and social networks
Software oriented computing
Cyber security and intelligence
Computer vision and computer graphics
Natural Language Processing
Human-computer interaction
Multi-agent and Multi-robot systems

The organization of the teaching activities is described below (more information and updates are available in the PhD web site https://phd.uniroma1.it/web/ENGINEERING-IN-COMPUTER-SCIENCE_nD3514_EN.aspx)

Specifiche economiche

Tipologia 1: DM118
Transizione digitale Generiche Pubblica Amministrazione Patrimonio culturale
1 0 2 0

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

Tipologia 5: Sapienza Senza borsa
3 3

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

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

- Modelli e algoritmi innovativi per applicazioni affidabili nella pubblica amministrazione
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- Novel models and algorithms for trustworthy applications in public administrations
Founded by: PNRR
Required skills: no specific skill required

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

- Modelli e algoritmi innovativi per applicazioni human-centered nella pubblica amministrazione
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- Novel models and algorithms for human-centered applications in public administrations
Founded by: PNRR
Required skills: no specific skill required

C_TD - DM118 TRANSIZIONE - non associata a curriculum

- Modelli e algoritmi innovativi per la transizione digitale in applicazioni Industria 5.0
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- Novel models and algorithms for gidital transition in Industry 5.0 applications
Founded by: PNRR
Required skills: no specific skill required

D - DM117 - non associata a curriculum

- Studio dell’eterogeneità in sciami biologici e robotici
Competenze richieste: nessuna competenza specifica richiesta
- Heterogeneity from biological to robotic swarms
Required skills: no specific skill required

PE - PARTENARIATI ESTESI - non associata a curriculum

- PE11 3A-ITALY (Made in Italy Circolare e sostenibile) - spoke 8: Digitally-oriented factory design and management through AI and data driven approaches
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
Responsible: 1 - Massimo Mecella

Admission Procedure

Qualifications assessment Curriculum Vitae (including the academic career and any other qualifications), letters of recommendation supporting the candidate, the presented list of publications, and the research proposal will be evaluated.
In particular, in the evaluation of the research proposal, the committee will evaluate 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, and the relevance of the proposal with respect to the themes and the objectives of the Ph.D. program.
Oral interview Admission to the interview is subject to a positive evaluation of the qualifications and of the research proposal by the admissions committee. The interview is in English and is aimed at assessing the candidates' knowledge, skills, and aptitude to carry out research in the scientific areas of Computer Science and Engineering. The interview includes a discussion about the candidate's research proposal and his/her personal motivations. Its duration is at most 30 minutes and can include a candidate's proposal presentation, which has to be at most 15-minutes long.
language INGLESE

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)

Required documentation

§ research project
mandatory
The research proposal must be written in English in accordance with the following template.
Proposal title: [...]
Applicant's name: [...]
Area (select at most two areas of interest from the following list)
o Algorithm Design and Engineering
o Algorithms and Data Science
o Artificial Intelligence and Knowledge Representation
o Artificial Intelligence and Robotics
o Computer Networks and Pervasive Systems
o Computer Vision, Computer Graphics, Deep Learning
o Cybersecurity
o Data Management and Service-Oriented Computing
o Distributed Systems
o High Performance and Dependable Computing Systems
o Human-Computer Interaction
o Natural Language Processing
o (other, specify) .....

*Summary of proposal*
(maximum 1.000 characters, including spaces)
Brief summary of the research project, highlighting problem statement, objectives, original content.

*State of the art of the research field*
(maximum 2.000 characters, including spaces)

*Research objectives, content, and methodology*
(maximum 8.000 characters, including spaces) Detailed description of the research project, emphasizing original and innovative aspects and scientific relevance.

*Expected results, impact, and benefits*
(maximum 8.000 characters, including spaces)
Detailed description of the expected results, the advancements, impacts, and benefits.
, 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 30/06/2023 ore 14:00 (ora italiana)
§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 30/06/2023 ore 14:00 (ora italiana)
§ third letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 30/06/2023 ore 14:00 (ora italiana)
§ List of publications
optional, 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
day10/07/2023
notesinformazioni dettagliate sull'organizzazione delle prove orali saranno comunicate insieme al verbale degli ammessi
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/INGEGNERIA-INFORMATICA_nD3514.aspx
date of publication13/07/2023
contactsdottinginf@diag.uniroma1.it

Oral interview
day17/07/2023
notesinformazioni dettagliate sull'organizzazione delle prove orali saranno comunicate insieme al verbale degli ammessi
time99:99
classroomsarà comunicata nell'elenco degli ammessi all'orale
addressvia Ariosto, 25, 00185 Roma
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/INGEGNERIA-INFORMATICA_nD3514.aspx
date of publication28/07/2023
contactsdottinginf@diag.uniroma1.it

Evaluation scale

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

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