Call for application 38° cycle


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 research. 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 advanced educational seminars, taught by Italian and foreign experts. The PhD Program Board strongly encourages traveling to attend schools, conferences and workshops, disseminate results, and carry out research in Universities and research centers.
The Curriculum in "Applied Electromagnetics" has the objective of providing students with innovative tools and methodologies aimed at the design, development, and manufacture of devices, circuits and systems able to operate in the range between industrial and optical frequencies; specifically: antennas, circuits, biomedical applications, propagation, remote sensing and Earth observation.
The Curriculum in "Electronic Engineering" aims at giving the students a high qualification in the design, modeling, and manufacturing of innovative electronic components and systems, their measurement techniques and methodologies for quality control. It includes the areas of microelectronic devices and circuits, nanoelectronic and optoelectronic devices, analog and RF circuits, sensors and wireless sensor networks, bioelectronics, bioelectromagnetism and biomedical devices, architectures for embedded computing and digital systems, micro-and nano-electromechanical systems.
The Curriculum in "Information and Communication Engineering" aims at forming engineers and researchers able to develop innovative methodologies in the field of information transmission, coding, signal processing and networking. Traditionally, the main research areas of the PhD course are: wired and wireless communication and transmission systems; signal processing techniques and methodologies also for multimedia signals; networking technologies, services and applications.
The Curriculum in "Radar and Remote Sensing" has the goal of fostering the education of researchers and applied scientists, that are able to conceive and develop innovative methodologies for: (i) the design of both active and passive remote sensing sensors (specially Radar and Lidar), and of complex systems for observation, environmental monitoring, surveillance and navigation; (ii) the processing of the information collected by such sensors and systems for Earth observation, Physics of the atmosphere and planetary exploration.

Specifiche economiche

A. Borse Rome technopole/Centri nazionali - DM 351 B. Borse Rome technopole/Centri nazionali - Sapienza C - Borse DM 351 D - Borse DM 352
2 5 0 0

E - Borse Infrastrutture F - Borse finanziate da enti terzi G - Borse Sapienza posti senza borsa
0 1 6 3

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

A - PNRR351 CN - non associata a curriculum

- CN4, Centro Nazionale di Ricerca per la mobilità sostenibile, Spoke 9 - Urban mobility Artificial intelligence in urban mobility prediction
Competenze richieste: nessuna competenza specifica richiesta
- CN4, Centro Nazionale di Ricerca per la mobilità sostenibile, Spoke 9 - Urban mobility Artificial intelligence in urban mobility prediction
Required skills: no specific skill required

A - PNRR351 CN - non associata a curriculum

- CN1, Centro Nazionale di Ricerca HPC, Big data e Quantum Computing, Spoke 6 - Multiscale Modeling & Engineering Applications AI & Big Data analytics for complex/large systems
Competenze richieste: nessuna competenza specifica richiesta
- CN1, Centro Nazionale di Ricerca HPC, Big data e Quantum Computing, Spoke 6 - Multiscale Modeling & Engineering Applications AI & Big Data analytics for complex/large systems
Required skills: no specific skill required

B - ATENEO CN - non associata a curriculum

- CN1, Centro Nazionale di Ricerca HPC, Big data e Quantum Computing, Spoke 10 - Quantum Computing Quantum Machine Learning
Ente finanziatore: Sapienza Università degli Studi di Roma
Competenze richieste: nessuna competenza specifica richiesta
- CN1, Centro Nazionale di Ricerca HPC, Big data e Quantum Computing, Spoke 10 - Quantum Computing Quantum Machine Learning
Founded by: Sapienza Università degli Studi di Roma
Required skills: no specific skill required

B - ATENEO CN - non associata a curriculum

- CN1, Centro Nazionale di Ricerca HPC, Big data e Quantum Computing, Spoke 6 - Multiscale Modeling & Engineering Applications Multiscale modelling of complex systems
Ente finanziatore: Sapienza Università degli Studi di Roma
Competenze richieste: nessuna competenza specifica richiesta
- CN1, Centro Nazionale di Ricerca HPC, Big data e Quantum Computing, Spoke 6 - Multiscale Modeling & Engineering Applications Multiscale modelling of complex systems
Founded by: Sapienza Università degli Studi di Roma
Required skills: no specific skill required

B - ATENEO TECHNOPOLE - non associata a curriculum

- Roma Technopole - Digital Transition, FP6 – Artificial intelligence, virtual reality and digital twin for advanced engineering and aerospace
Ente finanziatore: Sapienza Università degli Studi di Roma
Competenze richieste: nessuna competenza specifica richiesta
- Roma Technopole - Digital Transition, FP6 – Artificial intelligence, virtual reality and digital twin for advanced engineering and aerospace
Founded by: Sapienza Università degli Studi di Roma
Required skills: no specific skill required

B - ATENEO CN - non associata a curriculum

- CN1, Centro Nazionale di Ricerca HPC, Big data e Quantum Computing, Spoke 6 - Multiscale Modeling & Engineering Applications AI & Big Data analytics for complex/large systems
Ente finanziatore: Sapienza Università degli Studi di Roma
Competenze richieste: nessuna competenza specifica richiesta
- CN1, Centro Nazionale di Ricerca HPC, Big data e Quantum Computing, Spoke 6 - Multiscale Modeling & Engineering Applications AI & Big Data analytics for complex/large systems
Founded by: Sapienza Università degli Studi di Roma
Required skills: no specific skill required

B - ATENEO TECHNOPOLE - non associata a curriculum

- Roma Technopole - Health & Bio- Pharma, FP4 - Development, innovation and certification of medical and non-medical devices for health
Ente finanziatore: Sapienza Università degli Studi di Roma
Competenze richieste: nessuna competenza specifica richiesta
- Roma Technopole - Health & Bio- Pharma, FP4 - Development, innovation and certification of medical and non-medical devices for health
Founded by: Sapienza Università degli Studi di Roma
Required skills: no specific skill required

F - ENTI TERZI - sul curriculum: RADAR E TELERILEVAMENTO

- Telerilevamento di eruzioni vulcaniche da sistemi terrestri e spaziali mediante modelli fisico-elettromagnetici e metodologie di apprendimento automatico
Ente finanziatore: INGV
Competenze richieste: nessuna competenza specifica richiesta

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


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 evalute 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 40 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 70 and a maximum of 120.
language INGLESE
ITALIANO


contacts and info e-mail di contatto: phdict@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
detailed list of exams including completion dates and scores of 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 25/08/2022

§ 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 25/08/2022

§ first letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 05/09/2022 ore 14.00

§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 05/09/2022 ore 14.00

§ third letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 05/09/2022 ore 14.00

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

§ 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 25/08/2022

§ Curriculum Vitae
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 25/08/2022

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day09/09/2022
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 publication10/09/2022
contactsphdict@uniroma1.it

Oral interview
day15/09/2022
notesgiorno successivo di svolgimento, se necessario (following day, if necessary) 16/09/2022
time09:00
classroomSala di lettura 2° piano - Dipartimento DIET
addressVia Eudossiana 18 - 00184 Roma
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 publication19/09/2022
contactsphdict@uniroma1.it

Evaluation scale

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

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