Job Summary /n 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. /n Key Responsibilities /n 1. Teaching & Academic Responsibilities /n /n

- Deliver engaging lectures, tutorials, and practical/laboratory sessions in Computer Science.

/n

- Prepare lesson plans, course materials, presentations, assignments, and question papers.

/n

- Conduct internal assessments, examinations, evaluations, and provide timely feedback.

/n

- Ensure effective delivery of the prescribed curriculum as per University guidelines.

/n

- Use innovative teaching methods, technology, and practical examples to enhance student learning.

/n

- Maintain accurate academic and student records.

/n /n 2.

Student

Development /n /n

- Mentor and guide students regarding academics, projects, internships, and career development.

/n

- Supervise student projects, seminars, presentations, and technical activities.

/n

- Support students in participating in hackathons, coding competitions, technical events, and conferences.

/n

- Provide academic counselling and maintain regular communication with students.

/n /n 3. Practical & Technical Responsibilities /n Depending on specialization, the faculty member may handle subjects such as: /n /n

- Programming / Object-Oriented Programming

/n

- Data Structures & Algorithms

/n

- Database Management Systems

/n

- Operating Systems

/n

- Computer Networks

/n

- Software Engineering

/n

- Web Technologies

/n

- Artificial Intelligence & Machine Learning

/n

- Data Science

/n

- Cloud Computing

/n

- Cyber Security

/n

- Computer Architecture

/n

- Python / Java / C / C++

/n





- Emerging technologies and other Computer Science subjects.

/n /n 4. Research & Development /n /n

- Conduct and publish quality research in reputed journals/conferences.

/n

- Participate in research projects, consultancy, and funded research activities.

/n

- Encourage students to undertake research and innovation projects.

/n

- Contribute to patents, copyrights, research proposals, and academic collaborations where applicable.

/n /n 5. Department & Institutional Responsibilities /n /n

- Participate in departmental meetings and academic planning.

/n

- Contribute to curriculum development and revision.

/n

- Assist in accreditation and compliance activities such as NAAC/NBA/University requirements , as applicable.

/n

- Coordinate academic events, workshops, seminars, FDPs, and technical activities.

/n

- Perform examination, admission, committee, and other responsibilities assigned by the University/Institute.

/n /n Educational Qualification /n /n

- 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.

/n

- Ph.D. in Computer Science/Engineering or relevant area will be preferred.

/n

- Candidates should fulfil the applicable UGC/University/Regulatory Authority eligibility requirements.

/n /n /n Experience /n /n

- Freshers with strong academic credentials may be considered.

/n

- Prior teaching experience in a University/College/Engineering/Management/Computer Science institution will be preferred.

/n





- Industry experience in relevant technology areas will be an added advantage.

/n /n /n Required Skills /n /n

- Strong knowledge of Computer Science fundamentals.

/n

- Excellent teaching and presentation skills.

/n

- Good command of programming languages and technical concepts.

/n

- Ability to use modern teaching tools and Learning Management Systems.

/n

- Strong mentoring and student-handling skills.

/n

- Research and academic writing skills.

/n

- Good communication and interpersonal skills.

/n

- Ability to work collaboratively within an academic team.

/n

- Good documentation and academic administration skills.

/n /n /n Preferred Skills / Specialization /n /n Candidates with expertise in any of the following areas will be preferred: /n Artificial Intelligence | Machine Learning | Data Science | Cyber Security | Cloud Computing | IoT | Blockchain | Software Engineering | Full-Stack Development | Database Technologies | Computer Networks | NLP | Computer Vision /n /n Key Performance Areas (KPIs) /n /n

- Quality of teaching and student feedback.

/n

- Course completion and academic performance.

/n

- Student mentoring and project guidance.

/n

- Research publications and research projects.

/n

- Participation in institutional activities.

/n

- Development of innovative teaching practices.

/n

- Contribution to accreditation and academic documentation.

/n

- Student participation in technical/research activities.

/n /n /n Personal Attributes /n /n

- Passion for teaching and learning.

/n

- Professional and disciplined approach.

/n

- Positive attitude and willingness to learn emerging technologies.

/n

- Solid academic integrity.

/n

- Ability to mentor and motivate students.

/n

- Commitment to institutional goals and continuous improvement.

/n /n /n Contact : /n Rinkal Kothiya /n 98249 45442 /n [email protected]

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