COMPUTER SCIENCE

Call for application 41th cycle

Bando ordinario

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 aligned 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.

More specific research, teaching, and seminar initiatives have been undertaken in recent years to deepen candidates' knowledge in 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 in these areas among the college's members, substantiated and supported by numerous international awards and substantial funding from national and European projects.

Some projects, such as the European Centers of Excellence networks, Erasmus+ and Erasmus Mundus programs, and 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 deepen PhD students' competencies in areas of particular theoretical and practical relevance, as well as collaboration with researchers from other institutions. Therefore, participation in funded projects is encouraged, considering it to have a significant educational impact. Also, training activities are provided to support 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).

Specifiche economiche

Sapienza Scholarships	Other Scolarships	Departments	Without scholarship
6	4	0	3

Themes, curriculum and specific competence

Borse ENTI TERZI, PARTENARIATI ESTESI, ECCELLENZA

Tematica: FIS2 - Tecniche avanzate di Machine Learning - Fondo italiano per la scienza – Bando FIS2 sulla tematica: “Tecniche avanzate di machine learning”, titolo: “NEXUS - Interoperable Machine Learning with Universal Representations”,
Ente finanziatore: DIPARTIMENTO DI INFORMATICA
Competenze richieste: nessuna competenza specifica richiesta
- Advanced Machine Learning Techniques - Fondo italiano per la scienza – Bando FIS2 sulla tematica: “Tecniche avanzate di machine learning”, titolo: “NEXUS - Interoperable Machine Learning with Universal Representations”,
Founded by: DIPARTIMENTO DI INFORMATICA
Required skills: no specific skill required

Admission Procedure

Qualifications assessment	The selection committee will evaluate the candidate's qualifications according to the evaluation grids given in the announcement. Candidates who obtained at least 25/50 in the assessment of their qualifications and project are admitted to the oral exam.

Oral interview	The admission committee will delve into aspects of the candidate's CV, computer science knowledge, and research project. The minimum positive score for the oral test is 30/60.
language	INGLESE

contacts and info

m.mancini@di.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
MAX 3 pages
In the research project, the candidate must demonstrate competence in drafting, designing, organizing, and developing a scientific research idea independently. The project being submitted for evaluation does not have to be compulsorily carried out during the actual doctoral period.
, the file must be uploaded within le ore 23:59 del 19/06/2025

§ first letter of introduction (by a teacher)

optional, the letter must be uploaded by the candidate
The candidate may submit up to two reference letters written by his/her past or current supervisor (e.g., for a dissertation or research grant), or by faculty or other senior figures involved in the candidate's research, work, or scholarly activities.
, the file must be uploaded within le ore 23:59 del 19/06/2025

§ second letter of introduction (by a teacher)

§ letter of motivation (by the candidate)

mandatory
Each candidate submits a motivation letter (statement of purpose). This document should describe the main reasons why the candidate is interested in the doctoral program at Sapienza and what his or her future plans are regarding career, motivations, and research interests. The candidate may indicate members of the department who could potentially act as advisors during the doctoral programme and must demonstrate familiarity and interest in their research activities or otherwise those of the department.
, the file must be uploaded within le ore 23:59 del 19/06/2025

§ other document: Master's Thesis Summary

mandatory
MAX 1 PAGE
This document describes the Master's thesis work, including objectives, methodology, and results. Candidates who have not yet obtained their Master's thesis must submit the abstract based on their ongoing thesis work.
, the file must be uploaded within le ore 23:59 del 19/06/2025

§ Curriculum Vitae et Studiorum

mandatory, the file must be uploaded within le ore 23:59 del 19/06/2025

Language Skills

the candidate must know the following languages

ENGLISH

Exam Schedule

Qualifications assessment

day	04/07/2025
notes	none
publication on notice board	NO
publication on the web site	Yes
web site	https://phd.uniroma1.it/web/INFORMATICA_nD3507.aspx
date of publication	07/07/2025
contacts	m.mancini@di.uniroma1.it

Oral interview

day	14/07/2025
notes	none
time	09:00
classroom	Aula T1, Palazzina E
address	viale Regina Elena 295, 00161 Roma
publication on notice board	NO
publication on the web site	Yes
web site	https://phd.uniroma1.it/web/INFORMATICA_nD3507.aspx
date of publication	14/07/2025
contacts	m.mancini@di.uniroma1.it

Evaluation scale

Qualifications assessment