Call for application 37° cycle


Notice to candidates:
In accordance with the DECREE-LAW 6 August 2021, n. 111, Urgent measures for the safe exercise of school, university, social activities and public transport, starting from 01st September 2021 and in order to access physically to the University, students must possess and exhibit the Green pass, whatever the purpose of their entrance is.
Therefore, even though the doctoral competition as in the regulation does not apply the previous decree-law as it is required for the public competitions, all PhD candidates who will take the test in presence should exhibit the aforementioned documentation; furthermore, it is required to exhibit the Green pass for all the students who will need to go to the various offices inside the University.

Specifications of Scholarships and available positions

Overall Specifications approved for the course by the Academic Senate

Green Scholarships Innovation Scholarships
5 0

Progetti disponibili

  • GREEN - Monitoraggio della umidità del terreno da satellite.
    Monitoraggio della umidità del terreno da satellite.
    Azienda ospitante: e-GEOS S.p.A. (01032180778), an ASI (20%) / Telespazio (80%) company. Via Tiburtina 965, 00156 Roma (IT) ------ SERCO Italia SpA, https://www.serco.com/eu, RED Lab https://www.serco.com/eu/redlab-project, Via Sciadonna, 24/26 – 00044 - Frascati, Dr. Raffaele Crapolicchio, raffaele.crapolicchio@esa.int
    visualizza il progetto completo

  • GREEN - Ottimizzazione e controllo distribuito nelle reti energetiche rinnovabili mediante tecniche di intelligenza artificiale
    Optimization and distributed control in renewable energy networks using artificial intelligence techniques
    Azienda ospitante: Machine Learning Solutions S.r.l. Startup Innovativa, P.I./C.F.: 14739211002 Startup Sapienza che opera nei settori del machine learning e dell’intelligenza artificiale Sede legale: Via IV Novembre 107, 00187 Roma Sito web: www.mlsolutions.it
    visualizza il progetto completo

  • GREEN - Intelligenza Artificiale e Machine Learning per la transizione energetica green: progettazione e sviluppo di sistemi innovativi per la produzione, distribuzione, accumulo e consumo dell’energia elettrica.
    Artificial Intelligence and Machine Learning for the green energy transition: design and development of innovative systems for the production, distribution, storage and consumption of electricity.
    Azienda ospitante: Sis.Ter. Pomos S.r.l. Sede operativa: Viale Battista Bardanzellu, 77Q 00155 Roma
    visualizza il progetto completo

  • GREEN - Clim4CubeSat – Impatto del cambiamento climatico sulle future radiocomunicazioni satellitari ad alta frequenza: valutazione degli effetti atmosferici del riscaldamento globale sulla costellazione di satelliti CubeSat a onde millimetriche
    Clim4CubeSat – Climate change impact on new high-frequency satellite radiocommunications: evaluating the global warming atmospheric effects on low-Earth CubeSat satellite constellation at millimeter waves
    Azienda ospitante: Telespazio SpA https://www.telespazio.com/it/home, Via Tiburtina, 965, 00156 Roma RM Referente: Dr. Luffarelli Valter, valter.luffarelli@telespazio.com
    visualizza il progetto completo

  • GREEN - CIMR4Earth - Telerilevamento dell'idro-criosfera terrestre: modellistica avanzata fisico-elettromagnetica e stime basate su apprendimento automatico per la futura missione Copernicus Imaging Microwave Radiometer
    CIMR4Earth - Remote sensing of Earth hydro-cryosphere: advanced physical-electromagnetic modeling and machine-learning based retrieval for the forthcoming Copernicus Imaging Microwave Radiometer mission
    Azienda ospitante: SERCO Italia SpA https://www.serco.com/eu, RED Lab, Via Sciadonna, 24/26 – 00044 Frascati (RM) Referente: Dr. Raffaele Crapolicchio, raffaele.crapolicchio@esa.int
    visualizza il progetto completo


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 are exclusively based on the submitted documents. The Evaluation Board assigns in this phase a maximum score of 60 points to each Candidate. The minimum score required for admission to 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 this second evaluation phase, the EvaluationBoard 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 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
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
Publications list

Required documentation

§ degree thesis abstract
mandatory, the file must be uploaded within entro le 14.00 (ora italiana) del 27/10/2021
§ 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 entro le 14.00 (ora italiana) del 27/10/2021
§ first letter of introduction (by a teacher)
optional, the letter must be uploaded by the candidate, the file must be uploaded within entro le 14.00 (ora italiana) del 27/10/2021
§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the candidate, the file must be uploaded within entro le 14.00 (ora italiana) del 27/10/2021
§ third letter of introduction (by a teacher)
optional, the letter must be uploaded by the candidate, the file must be uploaded within entro le 14.00 (ora italiana) del 27/10/2021
§ 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., the file must be uploaded within entro le 14.00 (ora italiana) del 27/10/2021
§ other document: statement of first enrolment for a bachelor Degree
mandatory
This document is a statement of the candidate about the date of his/her first enrolment to the Bachelor Degree (first degree) program. It is a simple statement signed by the candidate., the file must be uploaded within entro le 14.00 (ora italiana) del 27/10/2021
§ Curriculum Vitae et Studiorum
mandatory
curriculum vitae, which includes the activities carried out in the field of Information and Communication Technology (ICT), written according to the template provided at the link:
https://phd.uniroma1.it/dottorati/cartellaDocumentiWeb/15950064-d5fb-4e37-ae15-05edc309ee21.doc, the file must be uploaded within entro le 14.00 (ora italiana) del 27/10/2021

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day03/11/2021
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/TECNOLOGIE-DELLINFORMAZIONE-E-DELLE-COMUNICAZIONI-(ICT)-(PON)_nD.aspx
date of publication04/11/2021
contactsphdict@uniroma1.it

Oral interview
day05/11/2021
notesnone
time11:00
classroomSala Lettura Dipartimento DIET - 2° piano (floor) - stanza (room) 207
addressVia Eudossiana 18 - Dipartimento DIET
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/TECNOLOGIE-DELLINFORMAZIONE-E-DELLE-COMUNICAZIONI-(ICT)-(PON)_nD.aspx
date of publication08/11/2021
contactsphdict@uniroma1.it

Evaluation scale

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

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