Job Description

Job Summary

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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.

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Key Responsibilities

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1. Teaching & Academic Responsibilities

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

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

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

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

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

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

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- 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.
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- Ph.D. in Computer Science/Engineering or relevant area will be preferred.
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- Candidates should fulfil the applicable UGC/University/Regulatory Authority eligibility requirements.
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Experience

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

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

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

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

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Key Performance Areas (KPIs)

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

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

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Rinkal Kothiya

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98249 45442

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[email protected]

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