Assistant Professor of Computer Science

Job Summary

We are seeking a highly motivated and qualified Assistant Professor – Computer Science to join our academic team. The candidate will be responsible for teaching undergraduate and/or postgraduate students, developing course content, conducting practical sessions, guiding student projects, and contributing to research, academic administration, and institutional development.

Key Responsibilities

1. Teaching & Academic Responsibilities

• Deliver engaging lectures, tutorials, and practical/laboratory sessions in Computer Science.
• Prepare lesson plans, course materials, presentations, assignments, and question papers.
• Conduct internal assessments, examinations, evaluations, and provide timely feedback.
• Ensure effective delivery of the prescribed curriculum as per University guidelines.
• Use innovative teaching methods, technology, and practical examples to enhance student learning.
• Maintain accurate academic and student records.

2. Student Development

• Mentor and guide students regarding academics, projects, internships, and career development.
• Supervise student projects, seminars, presentations, and technical activities.
• Support students in participating in hackathons, coding competitions, technical events, and conferences.
• Provide academic counselling and maintain regular communication with students.

3. Practical & Technical Responsibilities

Depending on specialization, the faculty member may handle subjects such as:

• Programming / Object-Oriented Programming
• Data Structures & Algorithms
• Database Management Systems
• Operating Systems
• Computer Networks
• Software Engineering
• Web Technologies
• Artificial Intelligence & Machine Learning
• Data Science
• Cloud Computing
• Cyber Security
• Computer Architecture
• Python / Java / C / C++
• Emerging technologies and other Computer Science subjects.

4. Research & Development

• Conduct and publish quality research in reputed journals/conferences.
• Participate in research projects, consultancy, and funded research activities.
• Encourage students to undertake research and innovation projects.
• Contribute to patents, copyrights, research proposals, and academic collaborations where applicable.

5. Department & Institutional Responsibilities

• Participate in departmental meetings and academic planning.
• Contribute to curriculum development and revision.
• Assist in accreditation and compliance activities such as NAAC/NBA/University requirements, as applicable.
• Coordinate academic events, workshops, seminars, FDPs, and technical activities.
• Perform examination, admission, committee, and other responsibilities assigned by the University/Institute.

Educational Qualification

• Master's Degree (M.E./M.Tech./M.Sc./MCA or equivalent) in Computer Science / Computer Engineering / Information Technology or a relevant discipline from a recognized University/Institution.
• Ph.D. in Computer Science/Engineering or relevant area will be preferred.
• Candidates should fulfil the applicable UGC/University/Regulatory Authority eligibility requirements.

Experience

• Freshers with strong academic credentials may be considered.
• Prior teaching experience in a University/College/Engineering/Management/Computer Science institution will be preferred.
• Industry experience in relevant technology areas will be an added advantage.

Required Skills

• Strong knowledge of Computer Science fundamentals.
• Excellent teaching and presentation skills.
• Good command of programming languages and technical concepts.
• Ability to use modern teaching tools and Learning Management Systems.
• Strong mentoring and student-handling skills.
• Research and academic writing skills.
• Good communication and interpersonal skills.
• Ability to work collaboratively within an academic team.
• Good documentation and academic administration skills.

Preferred Skills / Specialization

Candidates with expertise in any of the following areas will be preferred:

Artificial Intelligence | Machine Learning | Data Science | Cyber Security | Cloud Computing | IoT | Blockchain | Software Engineering | Full-Stack Development | Database Technologies | Computer Networks | NLP | Computer Vision

Key Performance Areas (KPIs)

• Quality of teaching and student feedback.
• Course completion and academic performance.
• Student mentoring and project guidance.
• Research publications and research projects.
• Participation in institutional activities.
• Development of innovative teaching practices.
• Contribution to accreditation and academic documentation.
• Student participation in technical/research activities.

Personal Attributes

• Passion for teaching and learning.
• Professional and disciplined approach.
• Positive attitude and willingness to learn emerging technologies.
• Strong academic integrity.
• Ability to mentor and motivate students.
• Commitment to institutional goals and continuous improvement.

Contact :

Rinkal Kothiya

[phone removed]

[HIDDEN TEXT]