Call for application 38° cycle


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 have 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
Human-computer interaction
Multi-agent and Multi-robot systems

More information about research areas, active projects, publications and involvement of PhD students within the research groups are available in the Department web site: http://www.diag.uniroma1.it/gruppi-di-ricerca-page

The organization of the teaching activities are described 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

Tipologia 2: DM117 Tipologia 3: PE/PNC/CN/TP Tipologia 4:Enti terzi
PE/PNC CN/TP
5 0 2

Tipologia 5: Sapienza Senza borsa
4 4

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

B - ATENEO CN - non associata a curriculum

- CN2, Centro Nazionale di Ricerca Tecnologie dell’agricoltura (Agritech), Spoke 9 - Measurements, Traceability and Quality in Agri-food Chains (METRIQA)/METRIQA digital Information Platform/Metadata automatic enrichment on single resources Measurements, Traceability and Quality in Agri-food Chains (METRIQA)/METRIQA digital Information Platform/Design and development of decision support systems
Ente finanziatore: Sapienza Università degli Studi di Roma
Competenze richieste: nessuna competenza specifica richiesta
- CN2, Centro Nazionale di Ricerca Tecnologie dell’agricoltura (Agritech), Spoke 9 - Measurements, Traceability and Quality in Agri-food Chains (METRIQA)/METRIQA digital Information Platform/Metadata automatic enrichment on single resources Measurements, Traceability and Quality in Agri-food Chains (METRIQA)/METRIQA digital Information Platform/Design and development of decision support systems
Founded by: Sapienza Università degli Studi di Roma
Required skills: no specific skill required

C - PNRR351 - non associata a curriculum

- Nuovi metodi e modelli per applicazioni sostenibili in istituti pubblici
Competenze richieste: nessuna competenza specifica richiesta
- Novel methods and models for sustainable applications in public bodies
Required skills: no specific skill required

D - PNRR352 - non associata a curriculum

- Ricerca di risposte a quesiti informativi all'interno di pagine web
Competenze richieste: nessuna competenza specifica richiesta
- Answer search for information questions in web pages
Required skills: no specific skill required

D - PNRR352 - non associata a curriculum

- Robot mobili per l'asservimento in sicurezza delle macchine utensili
Competenze richieste: nessuna competenza specifica richiesta
- Mobile robots for security services in using machine tools
Required skills: no specific skill required

D - PNRR352 - non associata a curriculum

- NUME – NUove MEtodologie di elaborazione di dati di osservazione della terra e geospaziali.
Competenze richieste: nessuna competenza specifica richiesta
- NUME - New Methods for Geospatial and Earth Observation Data Processing
Required skills: no specific skill required

D - PNRR352 - non associata a curriculum

- Pianificazione automatica e robotica in ambienti e applicazioni industriali
Competenze richieste: nessuna competenza specifica richiesta
- AI Planning and Robotics in Industrial Environments and Applications
Required skills: no specific skill required

D - PNRR352 - non associata a curriculum

- Approcci alla cybersecurity basati su ontologia
Competenze richieste: nessuna competenza specifica richiesta
- Ontology driven approaches to cybersecurity
Required skills: no specific skill required

F - ENTI TERZI - non associata a curriculum

- Predicting industrial machines’ performances and maintenance in the context of photonics assembly
Ente finanziatore: Fincontec
Competenze richieste: nessuna competenza specifica richiesta
- Predicting industrial machines’ performances and maintenance in the context of photonics assembly
Founded by: Fincontec
Required skills: no specific skill required

F - ENTI TERZI - non associata a curriculum

- Cybersecurity per le innovazioni tecnologiche in sanità, con particolare riguardo ai Dispositivi Medici
Ente finanziatore: Istituto Superiore di Sanità
Competenze richieste: nessuna competenza specifica richiesta

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


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


contacts and info dottinginf@diag.uniroma1.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)

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 (other, specify) .....

*Summary of proposal*
(maximum 1000 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 25/08/2022

§ first letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 25/08/2022 ore 14.00

§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 25/08/2022 ore 14.00

§ third letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 25/08/2022 ore 14.00

§ List of publications
optional, the file must be uploaded within 25/08/2022

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day29/08/2022
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/INGEGNERIA-INFORMATICA_nD3514.aspx
date of publication01/09/2022
contactsdottinginf@diag.uniroma1.it

Oral interview
day05/09/2022
notesnone
time09:00
classroom-
addressLe indicazioni per lo svolgimento della prova orale saranno fornite nel documento di ammissione dei candidati, pubblicato sul sito del Dottorato. Instructions for the oral interview will be provided in the document listing admitted candidates, published in the PhD web site.
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/INGEGNERIA-INFORMATICA_nD3514.aspx
date of publication20/09/2022
contactsdottinginf@diag.uniroma1.it

Evaluation scale

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

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