Assistant Professor

At Universal SkillTech University ( we believe in the transformative power of education. As a beacon of knowledge & innovation, we are proud to present a dynamic array of programs that cater to diverse aspirations and career paths. Embark on a journey of intellectual growth, skill development and personal enrichment with us. power of education. As a beacon of knowledge and innovation, we are proud to present a dynamic array of programs that cater to diverse aspirations and career paths. Embark on a journey of intellectual growth, skill development, and personal enrichment with us. Check us out at 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.