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 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 Robust 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

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