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
Robust 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
98249 45442
[email protected]

📌 Assistant Professor of Computer Science (Ahmedabad)
🏢 SKIPS University
📍 Ahmedabad