Call for application 39th cycle

Bando ordinario (expired 22/06/2023)


Educational goals and objectives

AUTOMATIC CONTROL, BIOENGINEERING AND OPERATIONS RESEARCH
The educational objective of the PhD program in Automatic, Bioengineering and Operational Research is to prepare young scholars who can manage complex realities through the use of modeling tools, the adoption of analytical methods for models and processes, as well as the development of design and implementation techniques for systems arising in various application fields. These scholars will find employment in the academic field, in research institutions, in the economic and industrial sector, both public and private. With regard to the latter, the analytical and modeling approach of the management and decision process and the skills acquired contribute to defining innovative professional figures which will be able to play a strategic role in companies and institutions operating on a national and multinational scale in different sectors of the production of goods and services, such as: mechanics, information technology, robotics, telecommunications, energy, transport, healthcare and pharmaceutical industry, environment, commercial distribution, financial consulting firms, design companies.

Specifiche economiche

Tipologia 1: DM118
Transizione digitale Generiche Pubblica Amministrazione Patrimonio culturale
0 4 1 0

Tipologia 2: DM117 Tipologia 3: PE/PNC/CN/TP Tipologia 4:Enti terzi
PE/PNC CN/TP
1 0 0 1

Tipologia 5: Sapienza Senza borsa
3 2

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

C_PA - DM118 P.A. - non associata a curriculum

- Sistemi di supporto alle decisioni per la pianificazione ed il controllo nella pubblica amministrazione
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- Decision analytics for planning and control in public administration
Founded by: PNRR
Required skills: no specific skill required

C_PNRR - DM118 GENERICHE - non associata a curriculum

- Controllo intelligente finalizzato all'integrazione di metodologie proprie dell'intelligenza artificiale nei sistemi di controllo avanzato
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- Intelligent control aimed at integrating Artificial Intelligence (AI) methodologies into advanced control systems
Founded by: PNRR
Required skills: no specific skill required

C_PNRR - DM118 GENERICHE - non associata a curriculum

- Strategie di controllo e ottimizzazione di processi alla base della fornitura di servizi intelligenti
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- Control and optimization strategies for processes underlying smart service provision
Founded by: PNRR
Required skills: no specific skill required

C_PNRR - DM118 GENERICHE - non associata a curriculum

- Impiego della modellistica cerebrale per la comprensione della fisiologia neuronale e delle patologie cerebrali
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- Using Brain Modeling to Understand Neural Physiology and Brain Pathology
Founded by: PNRR
Required skills: no specific skill required

C_PNRR - DM118 GENERICHE - non associata a curriculum

- Pianificazione e programmazione attente ai rischi nei sistemi di produzione e di servizio
Ente finanziatore: PNRR
Competenze richieste: nessuna competenza specifica richiesta
- Risk-aware planning and scheduling in production and service systems
Founded by: PNRR
Required skills: no specific skill required

D - DM117 - non associata a curriculum

- Safe physical Human-Robot Collaboration nell'ambito di attività di assemblaggio e test di dispositivi aerospaziali
Competenze richieste: nessuna competenza specifica richiesta
- Safe physical Human-Robot Collaboration (Safe pHRC) for assembly and test activities of aerospace devices
Required skills: no specific skill required

D - DM117 - non associata a curriculum

- Sviluppo di algoritmi e tecniche avanzate di Machine Learning per il riconoscimento ed il tracciamento di soggetti in ambienti interni non strutturati
Competenze richieste: nessuna competenza specifica richiesta
- Advanced Machine Learning algorithms and techniques development for subject's recognition and tracking in unstructured indoor environments
Required skills: no specific skill required

D - DM117 - non associata a curriculum

- Sviluppo di algoritmi e tecniche avanzate di Machine Learning a supporto del provisioning automatico di risorse computazionali e dell’analisi dei contenuti
Competenze richieste: nessuna competenza specifica richiesta
- Development of advanced Machine Learning algorithms and techniques for automatical provisioning of computational resources
Required skills: no specific skill required

F - ENTI TERZI - non associata a curriculum

- Sviluppo di modelli fisiologici per sistemi innovativi indossabili
Ente finanziatore: INAIL
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 documentation, the Selection Committee will assign to each candidate an evaluation score, computed as follows: (1) up to 25 points for the academic curriculum; (2) up to 10 points for the curriculum vitae, letter of motivation and reference letters; (3) up to 5 points for scientific publications. The minimum score to be admitted to the oral examination is 24/40.
Oral interview The oral examination is aimed at evaluating the background, skills and research inclination of the candidate. To this end, the Selection Committee may pose technical questions, or ask the candidate to prepare a presentation on a scientific paper. This paper will have to be chosen within a group of papers that will be made available together with the results of the evaluation phase. Remote examination (e.g., via Zoom) is possible upon duly motivated request, to be submitted with the other documents. The Selection Committee will assign to each candidate a maximum score of 80 points for the oral examination. The final result table will only include candidates whose total score (evaluation+examination) is at least 72/120.
language ITALIANO
INGLESE

contacts and info web: https://phd.uniroma1.it/abro.aspx; email: phd_abro@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

Required documentation

§ first letter of introduction (by a teacher)
optional, the letter must be uploaded by the candidate, the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)
§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the candidate, the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)
§ List of publications
optional, the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)
§ Motivation letter containing the indication of chosen curriculum (by the candidate )
mandatory
In the letter, the candidate must indicate a preferred curriculum among Automatic Control, Bioengineering, and Operations Research., the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)
§ publications (a single pdf for each publication)
optional, the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)
§ Curriculum Vitae et Studiorum
mandatory
detailed curriculum vitae describing study, work and research experience, publications, language qualifications, awards, fellowships, etc, the file must be uploaded within 22/06/2023 ore 14:00 (ora italiana)

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day17/07/2023
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/abro.aspx
date of publication20/07/2023
contactsphd_abro@diag.uniroma1.it

Oral interview
day24/07/2023
notesnone
time09:00
classroomB203
addressDIAG, via Ariosto 25
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/abro.aspx
date of publication27/07/2023
contactsphd_abro@diag.uniroma1.it

Evaluation scale

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

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