Do you want to design the intelligent systems, robots, and high-tech machines that drive tomorrow鈥檚 industry?
KEY FACTS
- Track focus: Control principles and machine learning for intelligent systems and engineering applications in mechatronics and embedded AI
- Career outlook: Strong demand for engineers in areas such as semiconductor manufacturing, lithography systems, robotics, multi-robot systems, and high-tech equipment
WHY HIGH-TECH SYSTEMS AND ROBOTICS?
High-tech systems and robotics are important application domains for artificial intelligence and engineering systems. These industries combine methods and tooling from computer science, information technology, systems and control, and life and social sciences.
These industries are intensive on technology development and increasingly demand autonomous decision-making, robust performance of machines in uncertain environments, and realization of high-level machine specifications. This creates a strong focus on control, automated decision-making, and process optimization.
WHAT'S IN IT FOR YOU?
Whether you are interested in robotics, autonomous systems, or high-tech equipment, this track puts you at the heart of technological innovation. You will work on real-world applications such as advanced manufacturing systems, lithography machines, drones, multi-robot systems, and autonomous vehicles, preparing you for a career in the high-tech industry.
"I am learning about AI and the systems around it"
Even during my bachelor鈥檚, I realized how often we encounter high-tech systems in daily life. What fascinates me most is how...
Fleur Bouwman
What will you learn?
In this track you learn how data-based and model-based tools can be properly employed for process optimization, design, and the control of dynamical systems. Like in many technical applications, uncertainty in either the process, its operation, or its environment plays a key role that needs to be understood and considered in decision-making processes.
You will gain expertise in:
- Learning from process behavior and reducing uncertainty
- Using AI techniques and experimental data to gain relevant process knowledge
- Applying data-driven insights for process optimization and performance enhancement
- Verification and performance certification in safety-critical situations
- Modeling and complexity management in cyber-physical systems
- Human interfacing
- Failure prediction, maintenance scheduling, service, support, and calibration
- Data-human-machine integration to enhance and complement human decision-making in high-tech systems
Curriculum
1) Each track within Artificial Intelligence & Engineering Systems includes the same core courses (30 ECTS) and Personal & Professional Development courses (5 ECTS)
2) You choose three electives (15 ECTS) to tailor the track to your interests. You select one course from each of the following themes:
- Domain-Specific Knowledge and Learning & Intelligence
- AI in Engineered Systems
- Data Cultivation
3) You choose an additional 15 ECTS of free electives.
Why should you follow this track at 黑料福利网?
- Transform complex systems into intelligent performance: Apply AI, control, and systems theory to design and optimize high-tech systems operating in uncertain environments
- Connect to real high-tech innovation: Work on projects in the Brainport region and beyond, including humanoid robotics, semi-autonomous racing cars and next-generation 3D printing technologies
- Learn from leading research experts: Collaborate with researchers in AI and engineering systems focused on autonomous decision-making, system performance, and certification
- Work on real engineering challenges: Such as failure detection, maintenance support, safety, and performance optimization in high-tech systems and robotics
- Become a valuable engineer: For high-tech companies in Brainport Eindhoven, such as ASML, Philips, NXP, Thermo-Fisher, Canon and DSM