Assistant Professor - Computer Science

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We are seeking a highly motivated Assistant Professor with expertise in Computer Science to join our faculty team. The ideal candidate should have a strong academic background, industry experience (if applicable), and a passion for teaching, research, and mentoring students in a technology-driven environment. The role requires a commitment to continuous learning, industry engagement, and fostering a positive academic culture.

Key Responsibilities

1 Teaching & Curriculum Development :

Deliver high-quality lectures, laboratory sessions, and workshops in Computer Science / Mathematics / Mechanical / Psychology.

Develop and update course materials, syllabi, and learning modules in alignment with industry trends.

Implement innovative teaching methodologies, including project-based and experiential learning.

Use technology-driven teaching techniques, including Learning Management Systems (LMS) and online learning tools.

Mentor students on academic projects, skill development, and career pathways.

Research & Innovation :

Conduct independent and collaborative research in Computer Science.

Publish research findings in peer-reviewed journals and present at academic conferences.

Seek research funding through grants and industry collaborations.

Encourage student research and innovation, guiding them in academic publications and patents.

Industry & Community Engagement :

Establish partnerships with industries to integrate practical knowledge into the curriculum.

Organize workshops, guest lectures, and skill-based training programs.

Guide students in internships, capstone projects, and real-world problem-solving.

Actively participate in university outreach programs and community development initiatives.

Key Metrics & Performance Indicators (KPIs)1. Teaching Effectiveness :

Student Feedback Score : Minimum 4.0 / 5.0 in student evaluations.

Course Completion Rate : At least 90% of students completing courses successfully.

Innovative Teaching Methods : At least 3 new teaching strategies implemented per academic year.

2. Research & Publications :

Publications : Minimum 2 peer-reviewed research papers per year.

Conference Presentations : At least 1 national / international conference presentation per year.

3. Student Mentorship & Engagement :

Capstone / Project Guidance : Supervise at least 3-5 student projects annually.

Internship Placement Rate : At least 80% of guided students securing internships.

4. Administrative & Institutional Contribution :

Committee Participation : Active membership in at least 2 academic / administrative committees.

Policy Development Contributions : Participation in curriculum development or university policy discussions.

Faculty Development Sessions Attended : At least 2 professional development programs annually.

Qualifications & RequirementsEducational Qualifications :

Ph.D. or Master’s degree (with significant industry experience) in Computer Science / Mathematics / Mechanical / Psychology from a recognized institution.

A strong academic record with specialisation in a relevant discipline

Experience :

For Ph.D. holders : Minimum 5 years of teaching / research / industry experience.

For Master’s holders : Minimum 7 years of teaching and relevant industry experience.

Experience with online learning platforms, LMS, blended learning, or hands-on training is preferred.

Technical & Soft Skills :

Proficiency in Computer Science / Mathematics / Mechanical / Psychology

Strong communication, presentation, and interpersonal skills.

Ability to mentor students, guide research, and collaborate with industry partners.

Commitment to diversity, inclusion, and student-centered learning.

Preferred Qualifications :

Industry certifications in Computer Science / Mathematics / Mechanical / Psychology

Experience in grant writing and securing research funding.

Participation in professional organizations and academic networks.

Benefits & Perks :

Competitive salary and academic incentives.

Research funding opportunities and conference sponsorships.

Professional development programs and industry collaboration initiatives.

Access to state-of-the-art labs and technology-driven teaching resources.