Job Description 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 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 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 Positive documentation and academic administration skills.
n n Preferred Skills / Specialization
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 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 Personal Attributes
n n Passion for teaching and learning.
n Professional and disciplined approach.
n Positive attitude and willingness to learn emerging technologies.
n Strong academic integrity.
n Ability to mentor and motivate students.
n Commitment to institutional goals and continuous improvement.
n n Contact :
n Rinkal Kothiya
n 98249 45442
n

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