Curricula

Descrizione dei curricula in cui è organizzato il corso di Dottorato

The course is divided into 3 curricula: Vehicle Design, Manufacturing and Systems Integration; Energy Systems, Powertrains, Vehicle Performance; Vehicle Informatics and Connectivity.

Curriculum: Vehicle Design, Manufacturing and Systems Integration

The curriculum aims to train highly qualified researchers and engineers, operating in the areas of design and manufacturing of the Automotive sector, able to deal with research and development problems in disciplines such as:

  • Industry 4.0 and advanced manufacturing technologies
  • Supply chain management
  • Industrial automation and robotics
  • Big Data and cloud computing for manufacturing
  • Materials, lighting technology and design 
  • methods for improving efficiency and safety of vehicles
  • Vehicle lifecycle assessment. Circular economy: vehicle refurbish, re-use of vehicle parts.

 

Curriculum: Energy Systems, Powertrains, Vehicle Performance

The curriculum aims to train highly qualified researchers and engineers, operating in the areas of the vehicle dynamics and energy management, capable of dealing with research and development problems in disciplines such as:

  • Electrification and power electronics
  • Electric, hybrid and ICE-based powertrains
  • Advanced combustion and after-treatment systems
  • Batteries and energy storage systems
  • Vehicle energy management and energy optimization
  • Vehicle dynamics and control

 

Curriculum: Vehicle Informatics and Connectivity

The curriculum aims to train highly qualified researchers and engineers, operating in the areas of vehicle digitalization and connectivity in the Automotive sector, capable of addressing research and development problems in disciplines such as:

  • Vehicle human-machine interface and infotainment systems
  • Gamification for improving the driver behavior
  • Vehicle networks, vehicle sensors and Big Data for mobility
  • Automatic and autonomous drive
  • Connectivity for V2I - Vehicle to Infrastructure, V2V - Vehicle to Vehicle and V2G - Vehicle to Grid
  • Data analytics and advanced prediction models