Training structure

The doctoral students’ training activities include highly specific topics, often at the forefront of scientific and technological research, related to the research project that is the focus of their individual PhD path.

In addition, more general training activities are offered, aimed at addressing individual gaps.

The program also includes multidisciplinary, transdisciplinary, and interdisciplinary training activities, with a focus on research dissemination/communication skills, research ethics, technology transfer, and entrepreneurship.

Courses are offered on the structure of European and international research systems, as well as advanced language skills (e.g., scientific article writing methodologies, written/oral communication techniques, etc.).


First Year

ADVANCED FORECASTING AND OPTIMIZATION TECHNIQUES FOR POWER SYSTEMS: AN INTRODUCTION

ANALYSIS OF (NETWORKS OF) NONLINEAR OSCILLATORS

POWERING THE FUTURE: BATTERY ENERGY STORAGE SYSTEMS, AN AI-ENHANCED
TRAINING COURSE

THERMAL IMAGERY FOR REMOTE SENSING: PRINCIPLES, METHODS, AND ENGINEERING APPLICATIONS

CYBERSECURITY FOR INDUSTRIAL CONTROL SYSTEMS

PRINCIPLES OF SYSTEMS ENGINEERING


Second Year

POWER SYSTEM ADVANCED MODELING, SIMULATION AND SCRIPTING WITH POWER
FACTORY

ADVANCED PROGRAMMING IN MATLAB AND SIMULINK

ENERGY MANAGEMENT SYSTEMS FOR POLYGENERATION MICROGRIDS

HOSPITAL ENERGY SYSTEMS

LIGHTNING EVENTS AND INTERACTION WITH OVERHEAD DISTRIBUTION SYSTEMS

REAL-TIME SIMULATION AND HARDWARE IN THE LOOP TESTING OF INVERTER BASED
RESOURCES

AN OVERVIEW OF HVDC LINKS

FPGA PROGRAMMING FOR REAL TIME APPLICATIONS