Corso Vittorio Emanuele II, 39 - Roma 0669207671

Research Doctorate in Engineering of Technological Innovation
XXXVIII CYCLE

General information

Cycle: 38
Expected starting date: 01/11/2022
Expected duration in years: 3
Maximum number of positions for which the accreditation is requested as per art. 5, paragraph 2, Min. Decree 226/2021: 4
Doctorate that received international accreditation (Joint Doctoral Program): No

Description of the training project and course objectives
Description of the project:

The PhD Course in Engineering of Technological Innovation offers advanced training to carry out research in the field of industrial engineering and technological innovation, with particular reference to Industry 4.0 technologies.

The Ph.D. Course aims to meet the challenges of digital transformation by training individuals capable of conducting theoretical and applied research on the main themes of new digital technologies, innovative production processes and new organizational models.

The Doctoral Program is structured in two Curricula: Advanced Manufacturing and Digital Technologies for Industry 4.0. The two paths have in common a background related to physical-mathematical models and methods. The first curriculum offers a specific focus on Key Enabling Technologies in industry, while the second one delves into the development of IT solutions in industry. The training program is structured on a three-year course comprising 180 credits, of which 30 are for basic methodological courses, 130 for the development of the Doctoral Thesis, and 20 for applied research activities in companies or research institutions in Italy or abroad.

The Doctoral Program is organized in agreement with the Consiglio Nazionale delle Ricerche. The collaboration includes the involvement of CNR researchers in the Doctoral College and the possibility for doctoral students to use CNR laboratories for study and research activities.

Course objectives

The Doctorate Course in Engineering of Technological Innovation aims to train professional profiles able to carry out highly qualified research in Universities and international research agencies as well as in companies working in the advanced manufacturing sector, industrial automation and IT services.

The profile trained at the end of the doctoral program has knowledge of various digital technologies, innovative production processes, and new organizational models related to digital transformation. He has data science skills, thus being able to process information with big data analysis and machine learning techniques and extract information useful for decision-making processes. Finally, he has mastered the bibliographic study of scientific documents and the writing of scientific reports and articles.

The courses offered allow students to develop a solid methodological background and multidisciplinary knowledge, acquiring advanced theories and methodological approaches, problem analysis and modeling skills, innovative solution techniques, and knowledge of advanced materials and technologies.

Employment and professional prospects

The PhD course aims to train professionals able to carry out highly qualified research in the field of industrial engineering and information related to the advanced manufacturing sector, with particular reference to the Industry 4.0 technologies. Research Doctors also have multidisciplinary knowledge and skills to operate in all other areas where 4.0 technologies are used.
The PhDs will therefore be able to carry out research and professional activities at national and international level in public and private institutions such as universities, research institutions, companies and central and peripheral administrations. Specifically, possible employment opportunities for the PhD in Italy and abroad will be:

  • Post-doctoral fellowships, research grants or contracts from researchers in Italian and foreign universities;
  • highly qualified personnel in research and training institutes or in technology transfer centers;
  • professional in companies operating in manufacturing and services, industrial automation and IT applied to the industry;
  • high-level professional roles in national public institutions (ministries, regulatory authorities, local public institutions) and international ones;
  • managerial roles in multinational companies with a high level of innovation;
  • entrepreneurs in contexts characterized by a high level of innovation.

Administrative office

Submitting University

International Telematic University UNINETTUNO

Nos of funded grants

4

Of which through PNRR funds

2

As per Min. Decree 351

2

As per Min. Decree 352

0

Consistency with the objectives of PNRR

The Ph.D. in Technological Innovation Engineering active since Cycle XXXIV trains cross-disciplinary figures who can successfully fit into the activities of several priority missions of the PNRR (National Recovery and Resilience Plan).

The PhD in Technological Innovation Engineering is structured to enable research in the field of industrial engineering and technological innovation, with particular reference to Industry 4.0 technologies. It aims to develop professionals capable of carrying out high-profile research activities in international universities and research institutes, as well as in companies operating in the advanced manufacturing, industrial automation and IT services sectors, and is also an innovative and cross-sectorally characterized Ph.D., inherent to Industry 4.0 issues and interdisciplinary, inherent to Big Data methodologies and applications.

The objectives of interest of the NRP missions in which the doctoral program intervenes are:

  • MISSION 1: DIGITIZATION, INNOVATION, COMPETITIVENESS, CULTURE AND TOURISM
  • M1C2: DIGITIZATION, INNOVATION AND COMPETITIVENESS IN THE PRODUCTION SYSTEM

Component 2 of Mission 1 aims to strengthen the competitiveness of the production system by enhancing its rate of digitization, technological innovation and internationalization through a series of complementary interventions. It aims to foster the digital transition and innovation of the production system by encouraging investment in advanced technologies, research and innovation. Realize investment in ultrafast 5G fiber optic connections. Strengthen participation in the development of the space economy and Earth observation systems for monitoring territories. Promote the development and competitiveness of Italian companies also in international markets, including through innovative financial instruments.

Organization type

2c) Doctorate in an associate form as per Min. Decree 45/2013 with Italian research agencies

Partnering/affiliated boards

Name

Consiglio Nazionale delle Ricerche

Website

HTTPS://WWW.CNR.IT/

Description of the facilities, structures and scientific equipment of the Board

The Consiglio Nazionale delle Richerche (National Research Council - CNR) is a national public research organization with multidisciplinary expertise, supervised by the Ministry of University and Research (MUR). Founded in 1923, it has the task of carrying out scientific research projects in the main fields of knowledge and applying their results for the development of the country, promoting innovation, internationalization of the "research system" and fostering the competitiveness of the industrial system. Every day, the CNR faces the challenges of our time in multiple areas: human and planetary health, environment and energy, food and sustainable agriculture, transport and production systems, ICT, new materials, sensors and aerospace. Also human sciences and cultural heritage protection, social sciences, bioethics, quantum sciences and technologies, artificial intelligence, and enabling technologies.

Activities are carried out through a human resource base of about 8,500 employees operating throughout the country, more than 7,000 of whom are engaged in research and research support activities. The scientific network consists of 88 research institutes and seven departments for macro-thematic areas. An important contribution comes from collaborations, including international ones, with researchers from universities and companies.

In addition, the CNR is the largest non-university institution involved in the PhD programs of Italian universities, with the aim of contributing to the higher education of young people through paths characterized by a very high scientific profile, innovation and quality of research.

Doctoral curricula related to the Doctorate Course

N.

Curriculum Name

Short Description

1

ADVANCED MANUFACTURING

The two curricula share a solid background of skills in physical-mathematical modeling of problems and their solution by numerical methods. Knowledge related to digital innovation models and enabling technologies for the digital transformation of enterprises is also provided. The curriculum in Advanced Manufacturing has a focus on the use of Key Enabling Technologies (KETs) for industrial product innovation. Specific topics include advanced materials, advanced manufacturing technologies, nanotechnology, photonics, and modeling of advanced manufacturing systems.

2

DIGITAL TECHNOLOGIES FOR INDUSTRY 4.0

The two curricula share a solid background of skills in physical-mathematical modeling of problems and their solution by numerical methods. Knowledge related to digital innovation models and enabling technologies for the digital transformation of enterprises is also provided. The curriculum in Digital Technologies for Industry 4.0 deals in detail with IT technologies supporting the digital transformation of enterprises. Specific topics include IT technologies for Industry 4.0 (IIOT, Cloud, Big Data, AI), industrial robotics and machine learning, sensors and embedded systems, and cyber-physical systems.

Professors’ Commission

Coordinator

Clemente Cesarano

Members of the Commission (Teaching Staff and Researchers of the Italian Universities)

N.

Surname

Name

University

Department/Structure

Role

Qualification

Competition Sector

CUN Area

Scient. Discipl. Sector

If CV available, please specify related discipline

Acceptance Confirmation Status

Scopus Author ID
(compulsory for bibliometric purposes)

ORCID ID (optional)

1

ASSANTE

Dario

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Associate Professor (L. 240/10)

09/E1

9

ING-IND/31

DIGITAL TECHNOLOGIES…

Accepted

8572725600

2

BIANCHI

Cesidio

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Temp. Contract Professor (art.1 par. 12 L. 230/05)

09/E3

9

ING-INF/01

DIGITAL TECHNOLOGIES

Accepted

35619038800

3

CESARANO

Clemente

UNINETTUNO Int. Telematic University

UNINETTUNO

Coordinator

Associate Professor (L. 240/10)

01/A5

1

MAT/08

ADVANCED MANUFACTURI

Accepted

56175139700

4

CONSOLE

Rodolfo

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Temp. Contract Professor (art.1 par. 12 L. 230/05)

09/C2

9

ING-IND/11

ADVANCED MANUFACTURI

Accepted

8640452300

5

DAVIDE

Fabrizio

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Temp. Contract Professor (art.1 par. 12 L. 230/05)

09/H1

9

ING-INF/05

DIGITAL TECHNOLOGIES

Accepted

7004089736

6

FINCO

Domenico

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Confirmed Researcher

01/A3

1

MAT/05

DIGITAL TECHNOLOGIES

Accepted

8267728100

7

FORNARO

Claudio

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Temp.  Researcher (art. 24 c.3-b L. 240/10)

09/H1

9

ING-INF/05

ADVANCED MANUFACTURI

Accepted

56084537600

8

LAURA

Luigi

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Associate Professor (L. 240/10)

09/H1

9

ING-INF/05

DIGITAL TECHNOLOGIES

Accepted

7801518841

9

MELONI

Antonio

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Temp. Contract Professor (art.1 par. 12 L. 230/05)

09/F2

9

ING-INF/03

DIGITAL TECHNOLOGIES

Accepted

7007071072

10

MISSIKOFF

Michele

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Temp. Contract Professor (art.1 par. 12 L. 230/05)

09/H1

9

ING-INF/05

DIGITAL TECHNOLOGIES

Accepted

6701311652

11

PIACENTINO

Giovanni Maria

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Temp. Contract Professor (art.1 par. 12 L. 230/05)

02/A1

2

FIS/01

DIGITAL TECHNOLOGIES

Accepted

35227848200

12

PICOZZA

Piergiorgio

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Temp. Contract Professor (art.1 par. 12 L. 230/05)

02/A1

2

FIS/01

ADVANCED MANUFACTURI

Accepted

35379970300

13

PLACIDI

Luca

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Associate Professor (L. 240/10)

08/B2

8

ICAR/08

ADVANCED MANUFACTURI

Accepted

57199322424

14

ROMANO

Elpidio

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Associate Professor (L. 240/10)

09/B2

9

ING-IND/17

ADVANCED MANUFACTURI

Accepted

24503269500

15

SANTONICO

Rinaldo

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Temp. Contract Professor (art.1 par. 12 L. 230/05)

09/E3

9

ING-INF/01

ADVANCED MANUFACTURI

Accepted

56651889700

Members of the Commission (Nonacademic staff employed at Italian or foreign institutions and teaching staff at foreign Universities)

N.

Surname

Name

Fiscal Code

Type of institution

Affiliated University/Institution

Country

Qualification

Scient. Discipl. Sector

Competition Sector

CUN Area

If CV available, please specify related discipline

Scopus Author ID
(compulsory for bibliometric purposes)
)

P.I.  European Competitive call winner

1

BECCHERELLI

Romeo

BCCRMO69E18Z104N

Research Agency (VQR)

Consiglio Nazionale delle Ricerche

Italy

Research Directors

ING-INF/01

09/E3

9

ADVANCED MANUFACTURI…

55966074400

NO

2

GIORDANO

Michele

GRDMHL68A13G902N

Research Agency (VQR)

Consiglio Nazionale delle Ricerche

Italy

Research Directors

ING-IND/17

09/B2

9

ADVANCED

56978160500

NO

3

PUNTA

Elisabetta

PNTLBT66M64D969J

Research Agency (VQR)

Consiglio Nazionale delle Ricerche

Italy

Researchers

ING-INF/04

09/G1

9

DIGITAL TECHNOLOGIES…

6602623561

NO

Planned/envisaged teaching activity

Envisaged courses (apart from those delivered in programs related to first and second level study courses)

Planned courses (as distinct from those delivered in courses related to first- and second-level courses)N.

Course name

Total number of hours over the entire cycle

Distribution during the doctoral cycle (years in which teaching is running)

Course description

CV, if available

For national doctorates: highly qualified training path

Final exam

Notes

1

Internet of Energy

150

Second year

This course provides an introduction to the fundamentals of the Internet of Energy, or the application of digital technologies to the energy sector. Its purpose is to present the terminology, features, characteristics, and specific applications of 4.0 technologies to the energy sector. The course considers both innovative technologies already in use and futuristic technologies, which are hoped to have a concrete development in the next decade. The course, through a series of webinars, aims to provide different points of view on new technologies, new business models, as well as the impact on the labor market in terms of new professional figures. The teaching activity is completed through in-depth project work.

ADVANCED MANUFACTURING DIGITAL TECHNOLOGIES FOR INDUSTRY 4.0

YES

2

Ordinary differential equations

150

Second year

The course deals with ordinary differential equations both by presenting aspects related to the general definitions and properties of these equations and by presenting some methods of solving them in closed form and in numerical form. In particular, methods of solving in series of powers for linear second-order differential equations are presented.

ADVANCED MANUFACTURING DIGITAL TECHNOLOGIES FOR INDUSTRY 4.0

YES

3

Scientific and technical writing

150

First year

The Scientific Writing course imparts the knowledge and practical skills needed to write a scientific text for submission to peer-reviewed journals. It teaches them stylistic and grammatical conventions. It helps them set a writing and text revision schedule. Gives them the tools for bibliography creation, text structuring and revision, and its dissemination across social media and other scientific platforms (e.g., Scopus, ResearchGate).

ADVANCED MANUFACTURING DIGITAL TECHNOLOGIES FOR INDUSTRY 4.1

YES

Automatic summary of the courses comprised in the training path

Yearly average total hours:

150 (value obtained from the sum of the total number of hours over the whole cycle of all courses divided by the duration of the course)

Number of courses: 3

Of which a final exam is envisaged: 3

Other training activities

(Seminars, laboratory and research activities, interdisciplinary, multidisciplinary and transdisciplinary training)

Positions, grants and budget for research

" "

Description

Positions

A - Positions to be recruited with the call

1. Positions with grants to be recruited

No. 2

(PNRR grants included)

2. Positions covered by research grants

No. 0

3. Position covered by apprenticeship contracts

No. 0

Subtotal amount of funded positions

No. 2

(A1+A2+A3)

4. Any positions without grant

No. 1

B - Positions with grants reserved to graduates in foreign universities

No. 2

C - Positions reserved to grant holders from foreign countries

No. 0

D - Positions reserved to grant holders within specific international mobility programs

No. 0

E – In the case of industrial doctorate, the positions reserved to employees of enterprises or employees of partnering institutions engaged in high-skill activities (with salary retention)

No. 0

F - Positions without grant reserved to graduates in foreign Universities

N. 0

(G) TOTAL = A + B + C + D + E + F

No. 5

(H) OF WHICH WITH GRANT = TOTAL - A4 - F

No. 4

Amount of each position with grant (annual amount before social security charges payable by the recipient)

(1) Euro: 16.243,00

Total Euro: (1) x (H-D) x no. of course years

€ 194.92

Per capita annual budget for each position with and without grant for research activities in Italy and abroad consistent with the research project (in % terms of the annual value of the grant before social security charges borne by the recipient)

Min. 10% grant amount; min. 20% for national doctorates): %10,00

(2) Euro: 1.624,3

Total Euro: (2) x (G-D) x no. of course years

€ 24.364,5

Additional amount per month of research stay abroad for each position with and without grant (in % terms of the monthly value of the fellowship before social security charges borne by the recipient)

(MIN. 50% of monthly grants amount): %50,00

Months (max. 12, or 18 for doctoral students in co-support or with foreign universities): 6,00

(3) Euro: 4.060,75

Total Euro:

€ 20.303,75

(3)x(G-D)

Overall BUDGET of the Doctorate course

€ 239.584,25

(2): (Yearly grant amount % of monthly grant amount)
(3): (% of monthly grant amount (yearly grant amount/12) * months abroad)

Sources to cover the budget of the doctorate course (grants included)

SOURCE

Amount (€)

% of Coverage

Typology Description (200 characters max.)

University funds (in associated forms, the prime contractor)

119.584,25

49.91

University funds

MUR Funds

120.000,00

50.09

PNRR funds

Of which any PNRR funds

120.000,00

Under Decree 351, 9 PNRR grants were awarded to UNINETTUNO University, 2 of which were awarded to the PhD in Innovation Engineering.

Funds from other Ministries or other public/private boards

0,00

0

Of which any PNRR funds

0,00

Funds from competitive call at national or international level

0,00

Funds from other entities participating in the contract/consortium (in case of associated form doctorates)

0,00

0

Other

0,00

0

Total

239584.25

Research journeys

""

""

Envisaged average period (in months for  student):

Minimum envisaged period (optional)

Maximum envisaged period (optional)

Research journeys (ITALY – outside involved institutions)

NO

Months 0

Months: 0

Months: 6

Research journeys (ABROAD within involved institutions)

NO

Months 0

Months: 0

Months: 6

Research journeys (ABROAD - outside involved institutions)

YES

Months 6

Months: 0

Months: 6

Scientific operational structures

Typology

Short description (500 characters max. for each description)

Equipment and/or Laboratories

Thanks to agreements already signed, the University can allow its doctoral students access to the laboratories and equipment of the CNR institutes, INFN Sections, INAF-IAPS, SpaceEarth (INGV), TIFPA (Trento), LNF (Frascati), Wizard-Pamela and ATLAS (Univ. Tor Vergata) clean laboratories/rooms, RIKEN (Japan) and ICD-CEA (China) laboratories, and the laboratories and equipment of the KETLAB (Italian Space Agency) technology hub.

Library asset

Book amount and coverage of course topics

UNINETTUNO’s Central Library has more than 1,100 volumes, largely pertaining to engineering topics.

Journal subscriptions (number, issues owned, coverage of course topics)

Given its online nature, the University from the beginning decided not to subscribe to print journals, instead providing access to online journals.

E-resources

Databases (access to the content of sets of journals and/or publishing series)

The University, both through its agreement with the CNR and through subscription to digital databases and catalogs, provides access to Publishers and Electronic Scientific Resources. Specifically, access is currently provided to nearly 6,000 electronic journals (including all those published by Elsevier, Springler, IEEE, Wiley, Taylor&Francis) and more than 126,000 e-books, mainly in the area of engineering.

Software specifically relevant to the intended areas of research

The University is already able to make numerical simulation software (Mathematica, Matlab), design software (Autocad), software development environments (NetBeans IDE, Eclipse Neon) available to doctoral students. The University also recently acquired hardware and software for numerical computing and simulation and modeling (Comsol, Anylogic). The Athenaeum also, thanks to a special agreement with Amazon, is able to provide privileged access to networked computing resources.

Spaces and resources for doctoral students and electronic computing

The University ensures that doctoral students have a workspace in its premises, equipped with dedicated computing resources. In addition, doctoral students can access centralized the University’s computing resources available in the Server Room and remote computing resources available in the University Cloud.

Other

The PhD is part of the scientific collaborations activated by the faculty with several companies and research groups, including CONSEL, which includes 83 partners (companies, universities and research centers). This network of will allow students: 1)training;2)internships;3)software licenses;4)association at CNR and INFN. Collaborations are active with the following: THALES-ALENIA SPACE, ESRIN - ESA, ENEA, Fond. B. Kessler, IFAC-CNR, ISC-CNR, etc. Uninettuno has an active ERASMUS program..

Admission requirements

All the following second-cycle degrees (lauree magistrali):

  • LM-4 Architecture and civil engineering-architecture
  • LM-4 Architecture and civil engineering-architecture (single cycle, five-year course)
  • LM-17 Physics
  • LM-18 Computer science
  • LM-20 Aerospace engineering and astronautics
  • LM-21 Biomedical engineering
  • LM-22 Chemical engineering
  • LM-23 Civil engineering
  • LM-24 Building systems engineering
  • LM-25 Automation engineering
  • LM-26 Security engineering
  • LM-27 Telecommunication engineering
  • LM-28 Electrical engineering
  • LM-29 Electronic engineering
  • LM-30 Energy and nuclear engineering
  • LM-31 Management engineering
  • LM-32 Computer engineering
  • LM-33 Mechanical engineering
  • LM-34 Naval engineering
  • LM-35 Engineering for the environment and territory
  • LM-40 Mathematics
  • LM-44 Mathematical-physical modelling for engineering
  • LM-53 Materials science and engineering
  • LM-66 Computer security
  • LM-74 Geological sciences and technologies
  • LM-75 Sciences and technologies for the environment and territory
  • LM-77 Economic-business sciences
  • LM-79 Geophysical sciences
  • LM-82 Statistical sciences
  • LM-83 Statistical, actuarial and financial sciences
  • 4/S (Specializing Master’s Degree in architecture and civil engineering)
  • 20/S (Specializing Master’s Degree in physics)
  • 23/S (Specializing Master’s Degree in computer science)
  • 25/S (Specializing Master’s Degree in aerospace engineering and astronautics)
  • 26/S (Specializing Master’s Degree in biomedical engineering)
  • 27/S (Specializing Master’s Degree in chemical engineering)
  • 28/S (Specializing Master’s Degree in civil engineering)
  • 29/S (Specializing Master’s Degree in automation engineering)
  • 30/S (Specializing Master’s Degree in telecommunication engineering)
  • 31/S (Specializing Master’s Degree in electrical engineering)
  • 32/S (Specializing Master’s Degree in electronic engineering)
  • 33/S (Specializing Master’s Degree in energy and nuclear engineering)
  • 34/S (Specializing Master’s Degree in management engineering)
  • 35/S (Specializing Master’s Degree in computer engineering)
  • 36/S (Specializing Master’s Degree in mechanical engineering)
  • 37/S (Specializing Master’s Degree in naval engineering)
  • 38/S (Specializing Master’s Degree in engineering for the environment and territory)
  • 45/S (Specializing Master’s Degree in mathematics)
  • 48/S (Specializing Master’s Degree in methods for assessment analysis of complex systems)
  • 50/S (Specializing Master’s Degree in mathematical-physical modelling for engineering)
  • 61/S (Specializing Master’s Degree in materials science and engineering)
  • 62/S (Specializing Master’s Degree in chemical sciences)
  • 64/S (Specializing Master’s Degree in economic sciences)
  • 66/S (Specializing Master’s Degree in sciences of the universe)
  • 82/S (Specializing Master’s Degree in sciences and technologies for the environment and territory)
  • 84/S (Specializing Master’s Degree in economic-business sciences)
  • 85/S (Specializing Master’s Degree in geophysical sciences)
  • 86/S (Specializing Master’s Degree in geological sciences)
  • 90/S (Specializing Master’s Degree in demographic and social statistics)
  • 91/S (Specializing Master’s Degree in economic, financial and actuarial statistics)
  • 92/S (Specializing Master’s Degree in statistics for experimental research)

Admission Modes

  • Titles
  • Written exam
  • Oral exam
  • Language
  • Research project

As regards foreign graduates, do the admission modes differ from applicants who graduated in Italy?

NO

Doctoral students’ activities

Are doctoral students expected to carry out mentoring activities?

YES

Are doctoral students expected to engage in supplementary teaching activities?

YES

Expected hours: 30

Are doctoral students expected to carry out third mission activities?

YES

Expected hours:20

Proposal closing and submission:

05/06/2022