Assistant professor of computer science

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We are seeking a highly motivated Assistant Professor with expertise in Computer Science/Mathematics 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 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/Mathematics/Mechanical/Psychology. 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.

Qualifications & Requirements Educational Qualifications:

Ph. D. or Master's degree (with significant industry experience) in Computer Science/Mathematics from a recognized institution. A strong academic record with specialisation in 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 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 Experience in grant writing and securing research funding. Participation in professional organizations and academic networks.

Benefits & Perks:

Market Competitive Salary Funding for applied research. Collaborate with leading tech firms on real-world projects Opportunity to collaborate with leading tech firms. Guide students through consulting projects, live case studies, Capstone projects, OJT and startup incubation Assistance in launching startups and patenting research innovations Conference sponsorships, faculty development programs, and networking with global experts P protection and commercialisation assistance. Balanced between teaching and industry engagement. Funding for national/international conferences.