In cooperation with the Bruno Kessler Foundation - FBK (as per par. 2 of art. 2 of DM 45/2013).
Partecipating SMEs: ADIGE SYS - BLM GROUP; Autostrada del Brenneo A22; Cosman
First cohort in the Academic Year 2019/2020 (35° cycle).
Director: Prof. Paolo Giorgini
The ‘Industrial Innovation Doctoral Programme’ is an interdisciplinary programme of the University of Trento, and in particular of the Information Engineering and Computer Science (DISI) and the Industrial Engineering (DII) Departments in collaboration with the Economics and Management Department (DEM), and the Fondazione Bruno Kessler (FBK). Companies are key players of the programme involved in both the design of the educational path and in the doctoral positions activation.
The aim of this doctoral school is to train experts on technological innovation that will get access to managerial positions within the industrial environment. With this training, students will get both technical and scientific specialisation on the Industry 4.0 scenarios and soft skills on innovation management.
On the basis of the Industry 4.0 approach and with the aim to foster industrial innovation, this Doctoral School provides scientific-technical training on enabling technologies such as advanced materials (nanotechnology, graphene), advanced process technologies (robotics, mechatronics, additive manufacturing) and digital technologies (5G, Internet of Things, Artificial Intelligence, Quantum Computing) applied on industrial domains as Smart Cities and Communities, Health, Wellbeing, and Active Aging, Smart Factory, Smart Energy Systems, Automotive, Cybersecurity, Digital Agriculture.
In collaboration with various initiatives of the local partners of the Programme (HIT, EIT Digital, School of Innovation, Trentino Sviluppo), the students will get access to training modules for improving the entrepreneurial and managerial, public and private funding attraction and innovation and management skills (such as digital innovation, project management, team working, open innovation, business modelling, digital transformation, fundraising etc.).
In order to get more in touch with the industrial environment, the students will be required to spend at least 6 months of the training path at one of the companies that supports the doctoral research projects. This means that the students activity will be coordinated, supported and supervised both by the academic and industrial advisors.
Scientific Areas (Ministerial References):
INF/01 Computer science
ING-INF/02 Electromagnetic fields
ING-INF/05 Information Processing and Computer Engineering
ING-INF/07 Electric and Electronic Measurement Systems
ING-IND/12 Mechanical and Thermal Measuring Systems
ING-IND/16 Production Technologies and Systems
ING-IND/22 Science and Technology of Materials
SECS-S/06 Mathematics for Economics, Actuarial Studies and Finance
SECS-P/08 Corporate Finance
SECS-P/10 Business Organisation
Duration: 3 years