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Kang Woochul

Professor

Kongju National University

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South Korea

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Research Interests

Hydrology

10%

Artificial Intelligence

10%

River Engineering

10%

Environmental Science

10%

Civil Engineering

10%

Machine Learning

10%

Remote Sensing

10%

Positions1

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Kongju National University

Kongju National University

Graduate Research Assistantship (M.S. or Ph.D.) in Civil and Environmental Engineering (Hydrology, Remote Sensing, AI) at Kongju National University

Kongju National University in Cheonan, South Korea, is offering a Graduate Research Assistantship for students interested in pursuing a Master's or Ph.D. degree in Civil and Environmental Engineering, with a focus on Smart Infrastructure Engineering. The position is supervised by Professor Kang Woochul and is available for the Fall Semester of 2026. Research topics include flood and river hazard mitigation analysis, sediment transport and river morphodynamics, hydraulic structures and river engineering, remote sensing and satellite data analysis, as well as artificial intelligence and machine learning applications in environmental engineering. The assistantship is funded under the Brain Korea 21 program and provides a monthly allowance, opportunities to present research at local and international conferences, and incentives for publications in recognized journals. Applicants should have a strong background in civil or environmental engineering, and publication experience is highly valued. Required application materials include a transcript of records, resume, self-introduction, and a letter of intent addressed to Prof. Kang Woochul. All documents must be submitted in English, and non-native English speakers must provide proof of English proficiency (e.g., IELTS, TOEFL, TOEIC, or equivalent). To apply, candidates should email their application materials to Engr. John Eugene Fernandez by January 30, 2026. This opportunity is ideal for students interested in hydrology, flood hazard mitigation, sediment transport, river engineering, remote sensing, satellite data analysis, artificial intelligence, and machine learning within the context of civil and environmental engineering.

3 days ago