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Posted 30 August, 2026

PROFESSOR-CIVIL ENGINERRING

Galgotias College of Engineering and Technology
Noida, UP, IN Full Time
Reference: c433932e9bd9773b

Job Description

Galgotias College of Engineering & Technology (GCET) is looking for an experienced and accomplished Professor/Associate Professor in the Department of Civil Engineering to strengthen its academic, research, and industry-oriented initiatives.

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Essential Qualifications & Experience

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  • Ph.D. in Civil Engineering or a relevant allied specialization from a recognized institution with 10 years of experience.
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Key Responsibilities

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  • Deliver high-quality teaching and mentor undergraduate and postgraduate students.
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  • Lead and supervise research projects, publications, Ph.D. scholars, and sponsored research.
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  • Develop innovative, industry-relevant curriculum and laboratory activities.
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  • Promote industry-academia collaboration, consultancy, patents, and funded projects.
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  • Introduce AI-enabled and emerging digital technologies into Civil Engineering teaching, research, and applications.
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  • Contribute to academic quality, accreditation, OBE, and institutional development initiatives.
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  • Mentor faculty members and support departmental academic leadership..
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AI & Emerging Technology Skills – Preferred

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Candidates should demonstrate awareness and practical exposure to recent AI tools and digital technologies being adopted in Civil Engineering , such as:

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  • Generative AI / Large Language Models (LLMs) for research, technical documentation, analysis, and academic applications.
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  • AI/ML tools for predictive modelling, structural health monitoring, risk assessment, construction management, transportation, geotechnical and environmental engineering.
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  • AI-integrated BIM and Generative Design .
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  • Digital Twin technologies for infrastructure monitoring and predictive maintenance.
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  • GIS, Remote Sensing, UAV/Drone and LiDAR-based applications .
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  • AI-enabled construction planning, scheduling, cost estimation, quantity take-off and risk prediction .
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  • Data analytics, Python/MATLAB or similar computational tools for engineering applications.
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AI, BIM, digital twins, computer vision, robotics, and predictive analytics are increasingly important areas across modern Civil Engineering practice and research.

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