Do you want to shape the factories of the future with AI-powered automation, robotics, and smart manufacturing technologies?
KEY FACTS
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Track focus: AI-powered industrial automation, data analytics for predictive maintenance and digital twin technology for smart manufacturing.
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Career focus: High demand for engineers in smart manufacturing, industrial automation and robotics, particularly within the Brainport Eindhoven ecosystem.
WHY SMART MANUFACTURING SYSTEMS?
The manufacturing industry is in anticipation of a fourth industrial revolution. This revolution is driven by innovations in digitization, robotics and connectivity, and promises to radically change the industry in the coming decades. All resources in the value chain, including material, machines, factories, products and customers, will be able to communicate with each other and to exchange real-time data, thus creating an Internet of Things. This opens a world of possibilities for the application of artificial intelligence and mathematical techniques to create smart and autonomous manufacturing processes and to develop new products and services.
WHAT'S IN IT FOR YOU?
As manufacturing undergoes this transition towards increasingly connected, autonomous, and data-driven production systems, industry needs engineers with broad knowledge of manufacturing, artificial intelligence and mathematic modeling. This track aims to educate these engineers.
Located in the heart of the Brainport Eindhoven manufacturing ecosystem, this track offers strong career opportunities and exposure to real-world industrial challenges. You will work with technologies that are shaping the future of industry and gain insight into the entire manufacturing value chain, from machine-level technologies to factory operations and supply chains.
"I鈥檓 passionate about advancing manufacturing systems with AI"
Manufacturing systems have always fascinated me, especially the integration of AI and the Internet of Things in modern production lines. In my previous professional experience, I worked on ...
Ru Cao
What will you learn?
To become an AI-enabled manufacturing engineer, you will learn the fundamentals of:
- Manufacturing technology
- Integrated manufacturing system design
- Digital twins and cyber physical manufacturing systems
- Multi-agent systems for modeling and control of manufacturing systems
- Manufacturing logistics
- Predictive maintenance
- Planning and scheduling in automated manufacturing systems
- Human robot interaction in manufacturing and warehousing
- Supply chain management
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?
- Help shape the factories of the future: Apply AI to smart manufacturing, industrial automation, robotics, and connected production systems.
- Work with cutting-edge manufacturing technologies: Explore applications such as digital twins, cyber-physical systems, predictive maintenance, and smart intralogistics.
- Understand the complete manufacturing value chain: Develop knowledge ranging from machine-level technologies to factory operations, logistics, and supply chains.
- Benefit from the Brainport manufacturing ecosystem: Study in one of Europe's leading high-tech regions, with strong connections to industry and innovation through projects, internships and career opportunities.