The "Automation, Instrumentation and Computer-Integrated Technologies" Educational and Scientific Program (PhD) is an intellectual hub for creating Self-Evolving Systems. Doctoral studies here offer a space for a Strategic Automation Visionary. Your mission is to develop fundamental methods for intelligent control, theories of autonomous complex instrumentation, and Industrial AI architectures. Your scope of scientific inquiry will encompass cyber-physical systems, self-organizing robotic complexes, and neuromorphic process control methods that transcend human limits.
The goal of study is to cultivate a Chief Scientific Officer (CSO) capable of designing the intelligent infrastructure of the future. We will teach you Advanced Nonlinear Control, deep learning methods for real-time systems, and strategies for building Smart Enterprises. This is the pinnacle of engineering thought, where Big Data Analytics converges with Precision Instrumentation. You will learn to create technological ecosystems capable of self-diagnostics and self-optimization, becoming an ideologist for total industrial and space automation.
Your scientific superpower: You will develop Systems Intelligence Sovereignty and Cyber-Physical Synthesis Mastery—the ability to design architectures that ensure absolute stability in chaotic environments. Your PhD arsenal will include:
- Intelligent Control Theory: developing algorithms based on fuzzy logic, genetic algorithms, and Reinforcement Learning.
- Advanced Instrument Design: creating next-generation precision measurement systems for extreme environments.
- Cyber-Physical Security: scientific substantiation of protection methods for automated systems against cyberattacks at the physical process level.
- Digital Twins & Virtual Commissioning: researching methods for seamless synchronization of virtual models with real physical assets.
Our Doctors of Philosophy are Chief Technology Officers (CTO) at international corporations, leading scientists at R&D centers of Siemens, Rockwell Automation, or Boston Dynamics, authors of international patents, and professors shaping the trajectory of Industry 5.0.
Objects of professional activity for PhD students include mathematical and computer modeling of complex systems, scientific substantiation of new regulator synthesis methods, intelligent instruments and sensors, as well as concepts for building flexible automated manufacturing facilities and robotic formations.
Field of Knowledge: G “Engineering, Manufacturing and Construction”
Specialty: G7 “Automation, Computer-Integrated Technologies and Robotics”
Educational Program: Automation, Instrumentation and Computer-Integrated Technologies
Accreditation Certificate: No.15990 dated June 23, 2025. Valid until July 1, 2027.
Structural unit responsible for PhD admission: Department of Postgraduate and Doctoral Studies
Structural units responsible for PhD training: Department of Aircraft Control Systems (301), Department of Intelligent Measuring Systems and Quality Engineering (303), Department of Mechatronics and Electrical Engineering (305) — competitive proposal: Automation, Instrumentation and Computer-Integrated Technologies.