Do you want to create the next generation of safe, sustainable, and autonomous mobility systems?
KEY FACTS
- Track focus: AI-driven smart transportation solutions, autonomous driving technologies and data science for traffic optimization
- Career outlook: Engineers in automotive technology, autonomous systems, smart mobility, intelligent transportation, logistics, and sustainable transportation are in high demand
WHY MOBILITY?
The Mobility eco-system is currently undergoing a radical change. On one hand, it is being challenged by soaring traffic levels and emissions, whilst, on the other hand, disruptive technologies such as autonomous driving, the internet of things, AI, and powertrain electrification are becoming pervasive. These technologies are bound to change the way we reason about mobility, offering a pathway to more sustainable and human-centered mobility systems.
WHAT'S IN IT FOR YOU?
With mobility problems getting ever more complex, AI engineers are needed to tackle mobility-related problems and devise innovative solutions for today鈥檚 and future mobility challenges. Through industry projects you will gain hands-on experience with the technologies, methods, and tools used across the mobility sector. This will prepare you for careers in areas such as automotive engineering, smart mobility, autonomous systems, transport planning, and sustainable transportation, while equipping you with skills that are highly valued by industry and research organizations alike.
"I train and apply AI to build smart decision-making systems"
I am developing Machine Learning-based methods to enable intelligent systems to make critical decisions in dynamic, high-stakes environments. For my team internship project, I worked on ...
Aryan Shyam Savant
What will you learn?
You will acquire a holistic knowledge on applying AI methods to mobility systems, from the design and control of individual vehicles in terms of autonomous driving and powertrain design, up to the macroscopic perspective encompassing mobility systems at large.
Typical topics discussed are:
- Automated driving
- Perception systems
- Cooperative driving
- Sustainable Electrification
- Racing applications
- Responsible transportation 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?
- Help shape the future of mobility: Apply AI to tackle challenges such as congestion, emissions, road safety, and sustainable transportation
- Learn across the entire mobility ecosystem: Gain expertise ranging from vehicle perception, planning and control to transportation networks, infrastructure, and mobility system optimization
- Work on safety-critical AI applications: Develop intelligent systems that support decision-making, reliability, safety, and human interaction in complex mobility environments
- Learn from leading mobility researchers: Benefit from 黑料福利网鈥檚 expertise in autonomous driving, electrification, transportation systems, and human-centered mobility
- Build a career in a rapidly evolving sector: Prepare for roles in automotive engineering, autonomous systems, mobility analytics, intelligent transportation, logistics, and sustainable mobility