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Assistant Professor
Assistant Professor
Job details
Full job description
Assistant Professor / Associate Professor / Professor
Department: CSE, IT, AI&DS, AI&ML
Designation: Assistant Professor / Associate Professor / Professor
Employment Type: Full-Time
Location: Rajiv Gandhi College of Engineering & Technology, Puducherry
Reporting To: Head of the Department / Principal
Job Summary
Rajiv Gandhi College of Engineering & Technology invites applications from qualified, motivated and passionate faculty members for the positions of Assistant Professor, Associate Professor and Professor in CSE, IT, AI&DS and AI&ML.
The selected candidates will be responsible for delivering quality teaching, mentoring students, guiding academic projects, contributing to research activities, and supporting the overall academic development of the department.
Key Responsibilities
- Deliver lectures and practical/laboratory sessions effectively.
- Prepare lesson plans, course materials, assignments and assessment components.
- Complete the assigned syllabus within the prescribed academic schedule.
- Maintain student attendance, academic records and course documentation.
- Mentor and guide students in their academic and professional development.
- Guide mini projects, major projects, internships and technical activities.
- Conduct laboratory sessions and ensure effective practical learning.
- Organize and participate in seminars, workshops, FDPs, conferences and technical events.
- Encourage students to participate in hackathons, coding competitions and innovation activities.
- Undertake research and publish papers in reputed journals/conferences.
- Contribute to patents, funded research projects, consultancy and industry collaboration.
- Participate in departmental meetings, academic planning and institutional activities.
- Contribute to accreditation, quality-assurance and other academic documentation.
- Perform other academic and administrative responsibilities assigned by the HOD / Principal.
Educational Qualification
- B.E./B.Tech. and M.E./M.Tech. in CSE / IT / AI&DS / AI&ML or relevant discipline, as applicable to the position.
- Ph.D. in the relevant field will be preferred/required as applicable for senior positions.
- Candidates should meet the applicable AICTE / UGC / affiliating University and institutional norms.
Preferred Specializations
- Artificial Intelligence & Data Science
- Artificial Intelligence & Machine Learning
- Computer Science & Engineering
- Cyber Security
- Internet of Things (IoT)
- Data Science
- Machine Learning
- Deep Learning
- Cloud Computing
- Computer Networks
- Database Management Systems
- Software Engineering
Required Skills
- Strong subject knowledge in the relevant specialization.
- Excellent communication and presentation skills.
- Good classroom management and student mentoring abilities.
- Programming knowledge in Python, Java, C, C++ or relevant technologies.
- Ability to handle laboratory sessions and student projects.
- Research aptitude with a willingness to publish research work.
- Ability to use modern teaching-learning tools and technologies.
- Good teamwork, interpersonal and organizational skills.
Experience
- Assistant Professor: Freshers and experienced candidates may apply, subject to applicable eligibility norms.
- Associate Professor / Professor: Relevant teaching, research and academic experience as per applicable regulatory and institutional requirements.
Salary
As per institutional norms, based on qualification, experience and position.
How to Apply
Interested candidates are requested to send their updated CV/Resume mentioning the position and department applied for.
Email: hr@rgcet.edu.in
Rajiv Gandhi College of Engineering & Technology
Kirumampakkam, Puducherry – 607403.
Pay: ₹25,000.00 - ₹40,000.00 per month
Benefits:
- Cell phone reimbursement
- Flexible schedule
- Food provided
- Paid sick time
- Paid time off
Education:
- Master's (Required)
Experience:
- Teaching: 1 year (Required)
Language:
- Tamil & English (Required)
Location:
- Puducherry, Puducherry (Required)
Work Location: In person