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Assistant Professor (Computer Science)

Devanhalli, Karnataka
IT / Software / Data Analyst
#51196
Remote / WFH
Chanakya University

Job Description

Position: Assistant Professor (Computer Science)

The School of Engineering at Chanakya University is committed to fostering transformative leaders by offering innovative, transdisciplinary programmes that equip young people with the skills to address complex challenges. Our strong focus on innovation, sustainable solutions, and state-of-the-art infrastructure collectively supports the university’s vision of becoming a globally recognised institution rooted in Indian ideals.

The School of Engineering at Chanakya University is seeking applications for faculty positions in diverse fields such as Computer Science, Artificial Intelligence, and Data Science. Moreover, a willingness to contribute effectively to the university's educational landscape is highly desirable.

Role & Responsibilities
• Teach undergraduate and/or postgraduate courses as assigned in the relevant specialisation.
• Conduct theory and laboratory classes effectively using outcome-based pedagogy.
• Assist in curriculum delivery, continuous assessments (formative & summative), and evaluation activities.
• Guide student mini-projects, laboratories, and tutorials.
• Participate in academic administration, examination duties, and student mentoring.
• Initiate research activities and publish in refereed journals/conferences.
• Support accreditation (NBA/NAAC), departmental activities, and institutional events.

Eligibility & Experience
• Ph.D. is highly preferred as per AICTE–UGC norms.
• Postgraduate degree (M.Tech/M.E./MCA/M.Sc) in the relevant discipline from a recognised institution of repute.
• 1–5 years of teaching and/or relevant industry experience.
• Knowledge in AI, ML/DL is mandatory.

Expected Competencies
• Strong subject knowledge in the assigned area.
• Ability to explain concepts clearly and engage students.
• Strong research background in multidisciplinary fields.
• Willingness to adopt new teaching tools, LMS, and assessment methods.
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