Professor / Associate Professor / Assistant Professor - Computer Science and Engineering

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Teaching
CGC Jhanjeri invites applications from passionate and committed individuals for the role of Assistant Professor in the Department of Computer Science & Engineering. The candidate should be well-versed in core computer science subjects and emerging technologies such as Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, IoT, and Cybersecurity. The ideal candidate should exhibit excellence in teaching, research, and academic contributions.
Job Description
  • Deliver quality lectures in UG and PG programs in Computer Science and Engineering.
  • Teach core subjects (e.g., Data Structures, Algorithms, Operating Systems, DBMS, OOP) and/or specialization subjects (e.g., AI, ML, Data Science, Cybersecurity, Cloud Computing).
  • Develop and update curriculum, lab manuals, and digital content as per OBE and Bloom’s Taxonomy standards.
  • Guide students in mini-projects, major projects, and career development.
  • Initiate, contribute to, and publish quality research in reputed national/international journals and conferences.
  • Engage in funded research projects, consultancy, MoUs, and industry collaborations.
  • Actively participate in departmental and institutional accreditation processes (NBA, NAAC, ARIIA, NIRF).
  • Organize/participate in Faculty Development Programs, seminars, workshops, and technical fests.
  • Support the department in developing innovation, incubation, and skill enhancement activities.
Qualification Criteria:
  • M.E./M.Tech in Computer Science & Engineering / Information Technology or equivalent with First Division.
  • Ph.D. (awarded/pursuing) as per UGC norms is preferred.
Department:
Computer Science Engineering
Skills Required:
  • Hands-on skills in programming languages: Python, Java, C++, R, etc.
  • Familiarity with tools and platforms: TensorFlow, Jupyter, AWS, Azure, Power BI, etc.
  • Proficiency in Learning Management Systems (Moodle, Google Classroom, etc.).
  • Strong presentation, communication, and interpersonal skills.
  • Orientation toward continuous learning and innovation.
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