About the role
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About Medhavi Group:Established in 2013, Medhavi Group is a unified ecosystem comprising MSU and various skill-promoting organisations, dedicated to advancing skill development, vocational training, and industry-integrated higher education. With a strong outcome-driven approach, the Group has trained over 6lakh learners, achieving more than 70% employability outcomes, and currently supports 20,000+active students across its diverse programs. Medhavi Group continues to bridge the gap between education and employment by building scalable, industry-aligned talent pathways across India. Work Integrated Skill based Higher Education (WISE) is Medhavi’s flagship industry-integrated initiative built on the principle of “Industry as Campus.” It combines academic learning with structured on-the-job training, ensuring students graduate with real work experience and industry-ready skills. Through deep, outcome-driven partnerships with over 300+ leading industry and skill partners across 26+ sectors including Hyundai, Mahindra, IHG Group, Nephroplus, Barbeque Nation, Nexus Select Malls, ClassPlus, Tata Electronics, Marriott, ITC, and others- WISE enables learners to acquire role- specific competencies directly within live business environments. WISE creates a demand-driven talent pipeline for industries that enhances employability, improves workforce productivity, and bridges the industry skill gap.
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Role Overview:The Assistant Professor in Computer Science & Engineering at Medhavi Skills University (MSU) will contribute to a skill-integrated, industry-aligned academic ecosystem focused on applied learning, employability enhancement, and outcome-based education. The role integrates teaching, curriculum delivery, applied research, and industry collaboration in alignment with UGC Regulations (as applicable), AICTE norms for technical education, and MSU’s model of competency-based and experiential learning. The incumbent is expected to actively support MSU’s mission of producing industry-ready graduates through hands-on pedagogy, project-based learning, and continuous engagement with evolving technology ecosystems.
Key Responsibilities:
1. Teaching and Skill-Based Academic Delivery
- Deliver theory, laboratory, and workshop-based instruction in Computer Science & Engineering courses
- Implement outcome-based education (OBE) with measurable learning outcomes aligned to industry requirements
- Conduct project-based learning, case-based instruction, and experiential learning sessions
- Develop and continuously update course materials aligned with emerging technologies and industry practices
- Evaluate student performance through continuous assessment, practical evaluation, and competency-based grading
- Contribute to design and revision of curriculum aligned with NEP 2020, UGC guidelines, and industry skill frameworks
- Integrate industry certifications, micro-credentials, and applied modules into academic delivery
- Participate in academic audits, curriculum benchmarking, and quality enhancement processes (NAAC/NBA/NIRF readiness)
- Support development of skill labs, simulation environments, and applied learning modules
- Engage in applied research relevant to industry problems and societal challenges
- Publish research in peer-reviewed journals and reputed conferences (SCIE/Scopus/Web of Science preferred)
- Contribute to consultancy, industry projects, and sponsored research initiatives
- Support innovation ecosystem through student projects, hackathons, prototypes, and patent development
- Collaborate with industry partners for real-world problem statements and solution development
- Mentor students for internships, placements, entrepreneurship, and higher studies
- Guide capstone projects aligned with industry use-cases and applied domains
- Facilitate skill development in coding, system design, and emerging technologies
- Support student participation in industry competitions, innovation challenges, and certification programs
- Participate in departmental governance, academic committees, and institutional development activities
- Contribute to accreditation processes (NAAC, NBA, NIRF) through documentation and academic inputs
- Support faculty development programs (FDPs), workshops, seminars, and industry interaction sessions
- Engage in outreach activities and partnerships with industry and academic Institutions
Qualifications & Skills Required:
- B.E./B.Tech (or equivalent UG degree) and M.E./M.Tech (or equivalent PG degree) in Computer Science & Engineering or relevant discipline (Information Technology, Computer Applications, or equivalent) with First Class or equivalent CGPA as per norms.
- Ph.D. in relevant specialization (preferred)
- Eligibility as per UGC/AICTE norms
- 0–3 years of teaching / industry / research experience preferred
- Fresh Ph.D. scholars and high-potential early-career candidates encouraged to apply
- Strong programming skills in Python, Java, C/C++ and modern development frameworks.
- Proficiency in any one of the applied domains: Artificial Intelligence, Machine Learning, Data Science, Cyber Security, Cloud Computing, IoT, Full Stack Development
- Exposure to industry tools, platforms, and software development lifecycle (SDLC) practices
- Familiarity with LMS platforms and digital/experiential teaching tools
- Ability to deliver hands-on, project-driven, and competency-based learning experiences
- Strong communication, mentoring, and student engagement capabilities
- Ability to integrate academic concepts with real-world industry applications
- Research orientation with focus on applied and translational outcomes
What We Offer
- Opportunity to architect and scale a future-focused, industry-integrated higher education ecosystem.
- Leadership role in a rapidly growing national skills and university platform.
- A collaborative, mission-driven environment.
- The opportunity to create a measurable impact on employability and workforce transformation at scale.
How to ApplyWe celebrate diversity and are committed to creating an inclusive environment for all employees