Careers and Perspectives

Career Paths

Design of AI-based intelligent software and embedded systems
Design of intelligent mobility, autonomous driving, and computer vision systems
System architecture design for Physical AI and hardware-software co-design

Mid-to-Long-Term Development Plan

Specialization Strategy

Cultivate AI system engineers through top-down, practice-oriented projects
Enhance competitiveness by acquiring globally recognized language proficiency and AI-related certifications
Foster creative AI system engineers through autonomous, discussion-based, research-oriented learning
Activate student exchanges and joint industry-academia-research collaboration through domestic and international partnerships

Specialized Manpower Training Methods

Strengthen field-oriented practical education reflecting industrial technology trends and demands
Improve problem-solving and collaboration skills through convergent team projects
Cultivate industrial field awareness and adaptability via internships and field training
Enhance project planning and report writing abilities centered on latest AI tech trends and industrial application cases
Provide in-depth education on state-of-the-art AI system design methodologies and operational techniques

Career Guidance via Industry-Academia Cooperation

Run special lectures and mentoring programs featuring CEOs and CTOs of leading AI companies
Strengthen early employment linkage through expanded long-term field training and internship opportunities
Share cutting-edge industrial technology and field experience through expert-led seminars and workshops

Field Education through Industry-Academia Networking

Cultivate creative AI system experts equipped with practical and global competitiveness

Career and Prospects

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