The ideal candidate will demonstrate a strong commitment to teaching and academic excellence and possess the ability to inspire and mentor students in diverse areas of Computer Science and Engineering. The role involves delivering high-quality instruction, contributing to curriculum development, and collaborating on departmental initiatives aimed at fostering innovation and industry-academia partnerships.
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Area of Expertise
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- Core/Generic CSE
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- Cyber Security
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- Cloud and Dev Ops
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- AIML & Data Science
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- Gaming Technology
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- IoT & Robotics
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- DS/DAA, CP/DP programming
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- Full Stack Development
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Key Responsibilities:
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- Teach undergraduate/postgraduate courses in Artificial Intelligence, Machine Learning, Deep Learning, and Data Engineering
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- Design and deliver theory and hands-on lab sessions
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- Guide students in mini-projects, CAPSTONE projects, and live projects.
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- Develop course material, lesson plans, and assessment tools
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- Encourage industry-aligned learning and emerging AI trends
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- Participate in academic administration and curriculum development.
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Required Qualifications:
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- Ph.D. in Computer Science and Engineering or a closely related discipline from a recognized university (candidates who have submitted their Ph.D. thesis may also apply).
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- First Class or equivalent at Master's and Bachelor's levels (MTech / BTech) in Computer Science and Engineering
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- A strong research profile demonstrated through publications in SCI or Scopus-indexed (non-paid) journals will be a significant plus.
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- Foreign degrees, if any, must be recognized or equivalenced by the competent authority as per UGC/AIU guidelines.
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Experience Required:
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- 1 to 4 years of teaching experience in academia. Freshers may apply.
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Compensation & Perks:
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- Salary and benefits as per the UGC scale.
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📌 Assistant Professor of Computer Science (Mathura)
🏢 GLA University
📍 Mathura
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