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Lecturer - Computer Science
Lecturer - Computer ScienceUniversal SkillTech University • Republic Of India, IN
Lecturer - Computer Science

Lecturer - Computer Science

Universal SkillTech University • Republic Of India, IN
16 hours ago
Job description

At Universal SkillTech University (www.Ustu.Edu.In), 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 www.Ustu.Edu.In

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.
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    Lecturer Computer Science • Republic Of India, IN

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