Explore the programs and courses offered by Doctoral Training in Automation
Browse Programs Admission InformationThe doctoral training in Automation aims to deepen theoretical and applied knowledge in the fields of control, modeling, and optimization of dynamic systems. It prepares doctoral students for careers in scientific research, higher education, and industry by providing them with advanced tools for the analysis and design of automated systems. Specific objectives include:
• Mastery of modern control approaches and artificial intelligence applied to automation.
• Development of skills in modeling and simulation of complex systems.
• Integration of new technologies into control and supervision systems.
Artificial Intelligence, Advanced Control Techniques, Metaheuristic & Bio-inspired Algorithms, Electronics of Embedded Systems.
Research methodology courses - Introduction to didactics and pedagogy courses - ICT courses - Foreign language proficiency enhancement courses
• The courses offered are part of the teaching load of research faculty members.
• The course hours for knowledge enhancement are set at two (02) hours per week. These courses can be organized by specialization or grouped by field.
• ICT, research methodology, and pedagogy courses may be shared among the different fields.
• The doctoral student's portfolio is mandatory for validating acquired knowledge and monitoring the doctoral candidate, and it will be introduced into the PROGRES digital platform.
Admission to the program is governed by Order No. 991 of August 1, 2022. Eligibility criteria and the selection process are defined in articles 4, 5, 6, 7, and 8 of this order.