Faculty Recruitment 2025 – HKBK College of Engineering, Bengaluru
HKBK Bengaluru hiring Professors in CSE/AI/ML. Ph.D + experience required. Email CV to hkbkce.hr@hkbk.edu.in by 30/07/2025. AICTE-approved institution
Post Date: 15-07-2025
Organization: HKBK College of Engineering
HKBK College of Engineering, a premier technical institution in Bengaluru, invites applications for faculty positions across cutting-edge engineering disciplines. With 25+ years of excellence, we seek passionate educators to join our mission of delivering world-class technical education.
Position Details
Designations Available:
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Assistant Professor
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Associate Professor
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Professor
Departments with Vacancies:
• Computer Science & Engineering
• Information Science & Engineering
• Artificial Intelligence & Machine Learning
Eligibility Criteria
Essential Qualifications:
✔ First Class in all academic degrees (UG, PG, Ph.D)
✔ For Assistant Professor:
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M.Tech + minimum 5 years experience
✔ For Associate Professor: -
Ph.D + 5 years experience (including 2 years post-PhD)
✔ For Professor: -
Ph.D + 10 years experience (5 years as Associate Professor)
Preferred Candidate Profile
• Strong research background with publications
• Experience in:
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Patent filing and innovation
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Industry collaborations
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Entrepreneurship Development Cell (EDC)
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Tinkering labs and value-added courses
• Excellent communication and mentoring skills
Application Process
Interested candidates must submit:
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Detailed CV with photograph
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Scanned copies of all certificates
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List of publications/patents (if any)
Email to: hkbkce.hr@hkbk.edu.in
Subject: “Application for [Position] – [Department]”
🌐 Website: www.hkbk.edu.in
Salary & Benefits
• Competitive salary as per AICTE/VTU norms
• Research grants and conference support
• Modern campus facilities
Contact Information
📍 Campus Address:
HKBK College of Engineering
#22/1, Nagawara, Bengaluru – 560045
Karnataka, India
Last Date: 30th July 2025
Note: Only shortlisted candidates will be contacted for interviews. Original documents must be presented during selection.