Explore the programs and courses offered by automatic (Doctorate)
Browse Programs Admission InformationThe doctoral training in control engineering aims to train researchers capable of designing, analyzing, and optimizing automated and computerized systems.
The topics covered are diverse and constantly evolving, including:
• Robust, adaptive, predictive, and learning-based control of linear and nonlinear systems
• Modeling and simulation of complex systems
• Robotics
• Image processing and analysis
• Pattern recognition
• Neural networks and deep architectures
1- Knowledge Enhancement Courses
• Advanced Control Strategies
• Observation and Predictive Control of Processes
• Fault-Tolerant Control of Nonlinear Systems
• Chaotic Nonlinear Systems
• Image Processing and Vision
• Vision-Based Servo Control
• Advanced Information Processing Techniques
• Statistical Data Analysis
• Simulation Tools and Implementation of Intelligent Controllers
2- ICT Courses: Scientific Document Creation 1 and 2
3- Documentary Research Course
4- Thesis Work Methodology Course
5- English
The doctoral training is a research-based program focused on research and innovation. Its objectives are multiple and primarily aim to:
• Introduce the doctoral student to the day-to-day life of research within a research laboratory;
• Provide the doctoral student with a comprehensive and synthetic understanding of the discipline, to facilitate the preparation of their doctoral thesis;
• Deepen and complement the student's scientific and technical knowledge in direct relation to their thesis topic;
• Develop advanced skills and knowledge that enable the student to carry out innovative development work;
• Discover and use various pedagogical methods and tools, particularly in the field of Information and Communication Technologies (ICT);
• Enhance their communication abilities.
Admission through competitive examination, open to holders of a Master’s degree or an equivalent diploma in Automatic Control.
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