Dottorato di Ricerca in Ingegneria dell'Innovazione Tecnologica
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
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