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Rama University

Professor of Computer Science

10-12 Years
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Job Description

Rama University is seeking a distinguished academician and industry expert to join the Department of Computer Science as a Professor. The successful candidate will provide academic leadership, drive research innovation, and bridge the gap between theoretical computer science and industrial application.

Key Responsibilities:
  • Academic Leadership: Deliver high-quality instruction for undergraduate (B.Tech) and postgraduate (M.Tech/Ph.D.) programs.
  • Curriculum Innovation: Design and update the curriculum to align with current industry trends and AICTE/UGC norms, specifically in areas like AI, Machine Learning, and Data Science.
  • Research & Mentorship: Supervise doctoral candidates and lead high-impact research projects for publication in SCOPUS/SCI indexed journals.
  • Industry Collaboration: Forge strategic partnerships with industrial bodies for consultancy, internships, and joint research ventures.
  • Institutional Growth: Contribute to accreditation processes (NAAC/NBA) and participate in university-level administrative committees.

Required Qualifications & Experience
  • Educational Background: Ph.D. in Computer Science, Computer Engineering, or a related Information Technology field from a recognized university.
  • Mandatory Dual Experience:
  • Academic: Minimum of 10 years of teaching and/or research experience in a reputed academic institution, with at least 4 years as an Associate Professor.
  • Industrial: Proven track record of industrial experience or significant industry-academia collaborative projects is required to ensure practical knowledge transfer.
  • Research Record: A strong portfolio of publications in reputed peer-reviewed journals and a history of securing external research grants.
  • Desired Skills:
  • Expertise in emerging technologies (Cloud Computing, Cybersecurity, Blockchain, or IoT).
  • Strong leadership, communication, and people management skills.
  • Proficiency in modern pedagogical tools and Learning Management Systems (LMS).

Apply on [Confidential Information].

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About Company

Job ID: 142900033

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