Call for application 41th cycle

Bando ordinario


Educational goals and objectives

INFORMATION AND COMMUNICATION TECHNOLOGY (ICT)
The PhD Course in Information and Communication Technology (ICT) aims at training scientists and engineers to design and develop innovative methodologies towards the design of systems, data processing, modeling, and applications, in the fields of electronic engineering, remote sensing, applied electromagnetics, information and communication engineering, and to conduct original research in these areas.
Students are supported by supervisors, members of the Program Board, and scientific experts, performing highly and internationally recognized state-of-the-art research on the topics of the PhD Program. Students are individually assigned a specific research topic to be developed during the three-year course. The research carried out in the laboratories of the Department is supported by lectures and educational seminars, taught by Italian and foreign experts. The PhD Program Board also strongly encourages traveling in order to attend schools, conferences and workshops, disseminate results of the Doctoral research, and carry out research in Universities and research centers.
In particular, the Curriculum in "Applied Electromagnetism" has the objective of enabling students to acquire innovative tools and methodologies aimed at the conception, development and creation of devices, circuits and systems that are capable of operating in the frequency range between industrial and optical frequencies.
The Curriculum in "Electronic Engineering" aims to ensure that the doctoral student achieves a high level of qualification in the conception, modeling, design and creation of innovative electronic components and systems, in the related measurement techniques and quality control methodologies.
The curriculum in "Information and Communication Engineering" aims to train researchers and engineers capable of mastering methodologies for the development of both wired and wireless telecommunications infrastructures, signal and multimedia content processing systems, algorithms (including those based on machine learning) and efficient, reliable, low environmental impact telecommunications.
The curriculum in "Radar and Remote Sensing" aims to train researchers and engineers capable of conceiving and developing innovative methodologies for the design of active and passive remote sensing systems, complex radiolocalisation and navigation systems, information processing collected by such sensors and systems with particular reference to Earth observation and planetary exploration.

Specifiche economiche


Sapienza Scholarships Other Scholarships Departments Without scholarship
9 5 (+2*) 0 4* Dopo la pubblicazione del bando sono state finanziate 2 ulteriori borse dal Dipartimento di Ingegneria dell’informazione, elettronica e telecomunicazioni (DIET) su specifiche tematiche: 1) Processing techniques for DSAR formations for surveillance and security applications; 2) Digital Beamforming Techniques for SAR e su specifico curriculum Radar e Telerilevamento

Annotazioni

Themes, curriculum and specific competence



Borse ENTI TERZI, PARTENARIATI ESTESI, ECCELLENZA

Tematica: Bando FIS 2 - "Multimode nonlinear fibers for biomedical imaging and treatment (MULTIMODE)", fonte finanziamento: TESUN-89376948937694 PE7 Advanced Grant - Codice progetto FIS-2023-00083 - CAP. 7720 TIT. 436 ART. 1 Tematica: studio della trasmissione di impulsi elettromagnetici in fibre ottiche multimodali e della generazione di plasma, per applicazioni alla diagnostica medica tramite tecniche di imaging non lineare e di intelligenza artificiale, e al trattamento non invasivo del cancro
Sul curriculum: INGEGNERIA DELL'INFORMAZIONE E DELLA COMUNICAZIONE

Ente finanziatore: DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E DELLE TELECOMUNICAZIONI
Competenze richieste: nessuna competenza specifica richiesta

Tematica: Gestione e orchestrazione di ambienti multi cloud, cloud ibridi, nodi edge
Ente finanziatore: FONDAZIONE UGO BORDONI
Competenze richieste: nessuna competenza specifica richiesta

Tematica: FIS2 - Sviluppo di tecniche innovative basate su Machine Learning per la modellazione ed il controllo di operazioni di docking sicure in orbita tra satelliti
Sul curriculum: INGEGNERIA DELL'INFORMAZIONE E DELLA COMUNICAZIONE

Ente finanziatore: SCUOLA DI INGEGNERIA AEROSPAZIALE SAPIENZA
Competenze richieste: nessuna competenza specifica richiesta


Admission Procedure

Qualifications assessment Based on the submitted documents, the Evaluation Board will select Candidates to be admitted in the second evaluation phase consisting in the oral interview. The Candidates are not required to be present in this phase, since admission to second phase and score assignment is exclusively based on submitted documents. The Evaluation Board assigns in this phase a maximum score of 60 points to each Candidate. The minimum score required for admission in the oral interview is 30 points.
Oral interview The oral interview aims at evaluating the Candidate scientific knowledge and research skills in scientific areas covered by the PhD Course. The oral interview may be conducted, upon request by the Candidate, in Italian or English, and is carried out in presence. The Evaluation Board may consider to conduct the interview in remote form (audio-video conferencing, Skype, etc.).
During the interview, the Evaluation Board will evaluate the following aspects:
- the Project proposal;
- the Candidate qualification in foundational topics in the area of ICT;
- the Candidate ability to address complex problems;
- the Candidate motivation to attend the PhD Program, and the Candidate ability to carry out research.
In the second evaluation phase, the Evaluation Board will assign a maximum score of 60 points to each Candidate. The minimum score required for passing the second evaluation phase is 35 points. The total score achieved by Candidate is the sum of the scores achieved in the two phases; the final resulting score is thus included between a minimum of 65 and a maximum of 120.
language ITALIANO
INGLESE

contacts and info phdict@uniroma1.it, g.giannini@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
Graduation date and grade of the Bachelor’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
optional, the file must be uploaded within le ore 23:59 del 19/06/2025
§ research project
mandatory
A research project proposal of Candidates’s interest, written according to the template provided at the link:
https://phd.uniroma1.it/dottorati/cartellaDocumentiWeb/e8d85908-be61-440e-8001-dc146af7b832.docx
, the file must be uploaded within le ore 23:59 del 19/06/2025
download the attachement
§ first letter of introduction (by a teacher)
optional, the letter must be uploaded by the candidate, the file must be uploaded within le ore 23:59 del 19/06/2025
§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the candidate, the file must be uploaded within le ore 23:59 del 19/06/2025
§ third letter of introduction (by a teacher)
optional, the letter must be uploaded by the candidate, the file must be uploaded within le ore 23:59 del 19/06/2025
§ List of publications
optional, the file must be uploaded within le ore 23:59 del 19/06/2025
§ description of previous research experience
optional, the file must be uploaded within le ore 23:59 del 19/06/2025
§ letter of motivation (by the candidate)
mandatory
Personal motivation statement for applying to the PhD Program. The style to adopt for the motivation statement is free but must include the choice of the preferred curriculum among the four available ones, i.e. Applied Electromagnetics, Electronics Engineering, Information and Communication Engineering, Radar and Remote Sensing. Up to 2 preferences can be expressed; the first priority must be, however, very clearly specified, the file must be uploaded within le ore 23:59 del 19/06/2025
§ publications (a single pdf for each publication)
optional, the file must be uploaded within le ore 23:59 del 19/06/2025
§ Curriculum Vitae et Studiorum
mandatory
curriculum vitae, that includes the activities carried out in the field of Information and Communication Technology (ICT), written according the template provided at the link:
https://phd.uniroma1.it/dottorati/cartellaDocumentiWeb/15950064-d5fb-4e37-ae15-05edc309ee21.doc
, the file must be uploaded within le ore 23:59 del 19/06/2025
download the attachement

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day01/07/2025
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/TECNOLOGIE-DELLINFORMAZIONE-E-DELLE-COMUNICAZIONI-(ICT)-_nD3552.aspx
date of publication07/07/2025
contacts phdict@uniroma1.it, g.giannini@uniroma1.it

Oral interview
day14/07/2025
notesnone
time08:30
classroomSala lettura del II piano del Dipartimento di Ingegneria dell'Informazione, Elettronica e Telecomunicazioni (DIET), Edificio RM032, Università di Roma Sapienza
addressVia Eudossiana 18, 00184, Roma, Italia
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/TECNOLOGIE-DELLINFORMAZIONE-E-DELLE-COMUNICAZIONI-(ICT)-_nD3552.aspx
date of publication14/07/2025
contactsphdict@uniroma1.it, g.giannini@uniroma1.it


Evaluation scale

Qualifications assessment

Valutazione titoli

Punteggio massimo complessivo per la prova/overall max score: 60

P1 - Voto di Laurea di primo livello (triennale, o equivalente)
Final grade for Bachelor degree (or equivalent 3 –years first-level degree)

Punteggio massimo/max score: 15
110 e lode
110 cum laude		15,0
11014,0
10913,0
10812,0
10711,0
10610,0
1059,0
1048,0
1037,0
1026,0
1015,0
1004,0
97 - 993,0
94 - 962,0
91 - 931,0
≤ 900,0
Per i candidati laureati con laurea a ciclo unico quinquennale, nella tabella P1 di cui sopra si utilizzerà il voto di laurea quinquennale. Per gli studenti di laurea a ciclo unico quinquennale, che discuteranno la tesi dopo la data stabilita per la valutazione dei titoli, ma comunque prima del 31 Ottobre 2025, si utilizzerà la media dei voti degli esami sostenuti per la laurea a ciclo unico secondo la seguente tabella:
For candidates having a five-year graduation degree or equivalent, table P1 above will be addressed using the final grade of that degree. For the students of a single five-years degree, presenting their thesis after the date of first evaluation phase, but before October 31st, 2025, the arithmetic mean of the exam notes will be used according to the following grid:
29 - 3015,0
28 – 28.9914,0
27 - 27.9912,0
26 - 26.9910,0
25 - 25.997,0
24 - 24.994,0
23 - 23.991,0
< 230,0
Per i candidati con titolo di studio estero, la Commissione di valutazione provvederà alla conversione del voto secondo un criterio di equipollenza.
For the candidates with a foreign-country degree, the Evaluation Board will provide a grade conversion based on equivalence criteria.

P2 - Voto di Laurea di secondo livello (magistrale, specialistica o a ciclo unico)
Final grade for Master degree (or equivalent 2–years second-level degree)

Punteggio massimo/max score: 15
110 e lode
110 cum laude		15,0
11013,0
108-10911,0
105-1079,0
103-1047,0
101-1025,0
1003,0
<1000,0
Gli studenti che discuteranno la tesi prima della data stabilita per la valutazione dei titoli sono tenuti a comunicare al Coordinatore del corso o al Presidente della Commissione il voto di laurea conseguito. Per coloro che discuteranno la tesi dopo la data stabilita per la valutazione dei titoli, ma comunque prima del 31 Ottobre 2025, il punteggio è calcolato sulla base della media aritmetica degli esami sostenuti utilizzando la seguente griglia (laurea magistrale o ciclo unico):
The Candidates presenting their final thesis before the date of the first evaluation phase are required to immediately notify the Master degree grade achieved to the PhD Course Director or to the President of the Evaluation Board. For the students who will present the thesis after the date of first evaluation phase, but before October 31st, 2025, the score is evaluated based on the arithmetic mean of the Master degree exams notes and the grid is replaced by the following (master degree or single five-years degree):
29 - 3015,0
28 – 28.9913,0
27 - 27.9911,0
26 - 26.999,0
25 - 25.996,0
24 - 24.993,0
<240,0
Per i candidati con titolo di studio estero, la Commissione di valutazione provvederà alla conversione del voto secondo un criterio di equipollenza.
For the candidates with a foreign-country degree, the Evaluation Board will provide a grade conversion based on equivalence criteria.

P3 - Percorso di formazione e di ricerca del candidato
Candidate’s global education and research experience

Punteggio massimo/max score: 15
Il percorso di formazione e di ricerca del candidato sarà valutato sulla base del currriculum vitae, delle lettere di presentazione e dell’abstract della Tesi di Laurea Magistrale, forniti dal candidato ed ai dati disponibili sul suo percorso accademico. In particolare verranno considerati: lettere di presentazione, abstract della Tesi di Laurea Magistrale, contratti di collaborazione alla ricerca, esperienze di ricerca presso enti di nazionali o internazionale, corsi di formazione alla ricerca, eventuali pubblicazioni scientifiche ed altri possibili titoli, in proporzione al tempo passato dalla prima data di iscrizione al corso di laurea di 1° livello (o quinquennale).
The Candidate’s global education and research experience is evaluated based on the currriculum vitae, the recommendation letters, and the abstract of the final Master Degree Thesis, as provided by the Candidate, and on the data available on his/her academic transcript. In particular, the following will be evaluated: recommendation letters, abstract of the final Master degree Thesis, research collaboration contracts, research experience in national and other potential titles, proportionally to the time passed from the date of first enrolment for the Bachelor degree program, 1° degree (o single, five-year’s degree).

P4 - Proposta di progetto di ricerca presentato dal Candidato
Research project proposal presented by the Candidate

Punteggio massimo/max score: 15
Ai fini della selezione per il dottorato di ricerca, il candidato dovrà presentare un progetto redatto secondo il Template disponibile sul sito. Questo progetto sarà usato per valutare la propensione alla ricerca del candidato e la sua capacità di organizzare in autonomia le diverse fasi del progetto che dovrà essere. Tale progetto, presentato ai fini concorsuali, non costituisce obbligo, per i candidati ammessi, allo svolgimento dell’attività di ricerca nel corso del dottorato.
For the PhD Admission Exam, the Candidate must present a project, following the template available on the website. It will be used to evaluate the aptitude to research of the candidate and his/her ability to autonomously organize the different sections of the project. The candidate will not be bound to the research activity outlined in the project if admitted to the PhD program.
In particolare verranno valutati:
In particular, the following will be evaluated:
Conoscenza dello stato dell’arte
Knowledge of the state of the art		2,0
Originalità e contenuto innovativo
Originality and innovative content		6,0
Chiarezza e completezza dell’esposizione degli obiettivi, delle metodologie e dei potenziali risultati
Clarity and completeness of the exposure of objectives, methodologies and potential results		4,0
Pertinenza del progetto con gli obiettivi formativi del dottorato e sua fattibilità
Relevance of the project for the objectives of the PhD in ICT and its feasibility		3,0
Oral interview

Prova orale

Punteggio massimo complessivo per la prova/overall max score: 60

Presentazione della proposta di progetto
Presentation of the project proposal

Punteggio massimo/max score: 40
Chiarezza espositiva e capacità di sintesi, nonché capacità di portare avanti un progetto di ricerca
Clarity and ability to synthesize, as well as ability to carry out research

Soluzione a problemi, competenze e motivazioni
Problem solving, qualifications ad motivation

Punteggio massimo/max score: 20
Capacità del Candidato nella soluzione di problemi complessi e qualificazione delle sue conoscenze sulle tematiche di base nell’area dell’ICT, nonché le motivazioni del Candidato a seguire il Corso di Dottorato
Candidate’s ability to address complex problems and qualification in foundational topics in the area of ICT, as well as motivation to attend the PhD Program, and the Candidate

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