MOLIT Seeks Universities to Train AI and Smart City Talent
AI TIMES ·
✦ AI Summary
According to AI TIMES, the Ministry of Land, Infrastructure and Transport will begin accepting applications on September 29 for four univers…
According to AI TIMES, the Ministry of Land, Infrastructure and Transport will begin accepting applications on September 29 for four universities to train hands-on master's and doctoral talent that combines AI and smart city technologies. The selected universities will receive support worth about KRW 300 million, along with scholarships, internships, and industry-academia cooperation funding. The program is intended to continue existing smart city education while shifting its focus to converged capabilities and field responsiveness in step with the spread of AI. Universities must be able to run related departments or organize a separate curriculum through interdepartmental collaboration, and the plan is designed to include some institutions outside the Seoul metropolitan area. The curriculum will include classes that apply AI across various urban sectors, programs linked with industry and local governments, domestic and overseas internships, and international cooperation courses. Applications will be accepted from October 28 to 29, and detailed criteria can be found in the Ministry of Land, Infrastructure and Transport's announcement.
Perspective
The significance of this program lies in making urban technology education more clearly connected to industrial field training rather than research alone. In particular, if the approach of applying AI across smart cities gains full traction, universities' curricula, regional partnerships, and industry-academia cooperation standards are also likely to change. Ultimately, it should be read as a signal that the core of competitiveness is shifting from the technology itself to the talent that can apply it to real urban problems.
This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.
This article was produced with the help of an automated content generation algorithm.
Source: AI TIMES
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