PhD in DESIGN, MANUFACTURING AND OPERATIONS ENGINEERING

Educational goals and objectives

DESIGN, MANUFACTURING AND OPERATIONS ENGINEERING

The PhD Programme in Engineering for Industrial Design and Production aims to train highly qualified researchers capable of operating in advanced industrial engineering contexts, with particular reference to the design, development, and optimisation of innovative industrial systems, products, and processes. Research activities are focused on the development of advanced methodologies, tools, and solutions for industrial design and production, also extended to the study and management of complex systems in the energy and biomedical fields, in line with the paradigms of digitalization and smart industry, as well as the energy transition and the decarbonization of industrial systems. The programme is based on a strongly interdisciplinary and scientifically rigorous methodological approach, grounded in the integration of mathematical and numerical modelling, advanced experimentation, data analysis, and system optimisation techniques. The objective is to train professionals capable of actively contributing to industrial and technological innovation processes, with full awareness of the technical, economic, environmental, and social impacts of the developed engineering solutions. For admission to the Programme, a solid background in fundamental mathematical, physical, and engineering disciplines is required, consistent with the acquisition of advanced competences, both theoretical and applied, in multiple disciplinary areas, including: • methodologies for the design and optimisation of complex mechanical machines and systems; • development of numerical, simulation-based, and data-driven models for complex industrial systems, with applications in the automotive, railway, aerospace sectors, and advanced energy systems, including nuclear fusion, renewable energy production systems, with reference to solar energy, photovoltaic and agrivoltaic systems, as well as hydrogen energy systems (production, use and storage); • design, implementation, and validation of digital twins for production systems, industrial plants, and mechanical components, also for operational optimisation, predictive maintenance, and diagnostics; • design, implementation, and validation of digital twins of biomedical and biomechanical devices and systems, aimed at behavioural simulation, decision support, and performance analysis; • development of virtual and augmented reality methodologies supporting the creation, navigation, and interactive interrogation of digital twins and virtual prototypes; • innovation in manufacturing processes and advanced production technologies; • study, development, and characterisation of innovative materials and metamaterials; • design and management of high-efficiency industrial systems and plants; • development of engineering solutions for advanced and sustainable energy systems; • analysis and improvement of production system performance in terms of efficiency, sustainability, resilience, and competitiveness; • Quantum Computing;

Available Positions and Scholarships

University scholarship	4	University scholarship reserved to foreign applicants	0	Department scholarship	0
Scholarship funded by private research institution	0	Scholarship funded by private non-research institution	0	Scholarship funded by public research institution	0
Scholarship funded by public non-research institution	0	PhD position under national research programs	0	PhD position under EU research programs	0
Foreign independent candidates	3	Employee of private research institution/organisation under a cooperation agreement	0	Employee of private non-research institution/organisation under a cooperation agreement	1
Employee of public research institution/organisation under a cooperation agreement	0	Employee of public non-research institution/organisation under a cooperation agreement	1	PhD under higher education and research apprenticeship contract at a private research institution/organisation	0
PhD under higher education and research apprenticeship contract at a private non-research institution/organisation	0	PhD under higher education and research apprenticeship contract at a public research institution/organisation	0	PhD under higher education and research apprenticeship contract at a public non-research institution/organisation	0
No scholarship	2

Self-certification of the academic qualification obtained through Model A:

• Master’s Degree
• Single-cycle Degree
• Specialist Degree
• Old-system Degree
• Degree obtained abroad corresponding to EQF Level 7
• provided that they belong to the following classes: LM-33 Ingegneria meccanica; LM-31 Ingegneria gestionale; LM-30 Ingegneria energetica e nucleare; LM-20 Ingegneria aerospaziale e astronautica; LM-22 Ingegneria chimica; LM-21 Ingegneria biomedica; LM-25 Ingegneria dell'automazione; LM-44 Modellistica matematico-fisica per l'ingegneria; LM-53 Scienza e ingegneria dei materiali; LM-54 Scienze chimiche; LM-71 Scienze e tecnologie della chimica industriale; 36/S Specialistiche in ingegneria meccanica; 34/S Specialistiche in ingegneria gestionale; 33/S Specialistiche in ingegneria energetica e nucleare; 25/S Specialistiche in ingegneria aerospaziale e astronautica; 26/S Specialistiche in ingegneria biomedica; 27/S Specialistiche in ingegneria chimica; 29/S Specialistiche in ingegneria dell'automazione; 50/S Specialistiche in modellistica matematico-fisica per l'ingegneria; 61/S Specialistiche in scienza e ingegneria dei materiali; 62/S Specialistiche in scienze chimiche; 81/S Specialistiche in scienze e tecnologie della chimica industriale; LM-17 Fisica; 20/S Specialistiche in fisica;