The Department of Smart Mobility Engineering cultivates talents with converged technical capabilities that can master advanced technologies in the field of smart mobility, including autonomous ships, driving automation, unmanned aerial vehicles, and intelligent mobile robots.
01 Educational Goals
- Nurturing next-generation smart mobility experts who will lead the future and global industry
- raining professional manpower to secure global competitiveness in next-generation mobility core technologies.
- Cultivating professional talent in the field of intelligent mobility to meet industry demands.
- Training key personnel and professional operators for the development of core intelligent mobility technology.
02 Ideal Talent
- Next-generation smart mobility engineers armed with convergent approaches and collaboration capabilities
- Specialist in smart mobility system design and convergence engineering
∙ System analysis and design ability: Ability to analyze the technologies and components required and design an efficient, safe and smart mobility systems.
∙ Convergence engineering project management ability: Ability to effectively plan, execute, and complete convergence engineering projects.
- Electrical and electronics specialist for smart mobility
∙ Electrical and electronic systems design and inspection ability: Ability to design, test and diagnosis core electrical and electronic systems that constitute smart mobility systems.
∙ Sensing and data processing capabilities: Ability to collect and process sensor data and convert it into useful information.
∙ Control system design and verification ability: Ability to analyze the dynamics of mobility systems and design, validate, and evaluate various control strategies.
- Artificial intelligence and autonomous system engineering specialist for smart mobility
∙ Artificial intelligence and autonomous system design/application ability: Ability to understand and apply various artificial intelligence and autonomous systems.
∙ Learning data construction ability: Ability to build learning data such as data labeling and metadata for artificial intelligence model learning.
Choi, Inoh
Thinh, Huynh
+82-51-629-7989
+82-51-629-7985