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Assistant Professor

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Job Description

Assistant / Associate Professor – Computer Science

School: Yogananda School of AI, Computer & Data Sciences

Position: Assistant Professor / Associate Professor

Joining:Immediate Joiners Preferred

Position Overview

We are looking for highly motivated and academically strong Assistant Professors / Associate Professors in Computer Science to join the Yogananda School of AI, Computer & Data Sciences. The ideal candidate should have a strong academic background, relevant subject expertise, teaching experience, and a passion for research, innovation, and student mentoring.

Key Responsibilities

  • Deliver high-quality lectures and practical sessions for undergraduate and postgraduate programmes.
  • Develop course content, assessments, and innovative teaching methodologies.
  • Mentor students and guide academic projects, dissertations, and research activities.
  • Conduct quality research and publish in reputed SCI/SCIE/Scopus-indexed journals and conferences.
  • Contribute to funded research proposals, patents, consultancy, and industry collaborations.
  • Participate in curriculum development, seminars, workshops, conferences, and departmental activities.
  • Support student internships, placements, innovation, and industry-oriented learning.
  • Contribute to the academic, research, and overall development of the School.

Eligibility

Assistant Professor

  • B.Tech./B.E. and M.Tech./M.E. in Computer Science & Engineering, Computer Science, Information Technology, or relevant/allied discipline, as per applicable UGC/AICTE norms.
  • Candidates holding a Ph.D. in Computer Science/CSE or relevant/allied discipline will be preferred.

Associate Professor

  • Ph.D. in Computer Science & Engineering, Computer Science, or relevant/allied discipline from a recognized university/institution.
  • Relevant Bachelor's/Master's qualification along with the prescribed teaching/research/industry experience as per applicable UGC/AICTE norms.
  • Strong research profile with quality publications and demonstrated academic contributions.

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About Company

Job ID: 153652115

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