Director - Computer Science Engineering

The Director – Computer Science will provide strategic, academic, research, and administrative leadership for the School/Department of Computer Science. The position is responsible for strengthening academic excellence, faculty development, research and innovation, industry collaboration, student outcomes, infrastructure, and the overall growth of Computer Science programs.

The Director will lead the development of future-ready programs aligned with emerging technologies and industry requirements while ensuring compliance with applicable academic, regulatory, accreditation, and quality-assurance standards.

Key Responsibilities1. Academic Leadership

• Provide strategic leadership for undergraduate, postgraduate, doctoral, and professional programs in Computer Science and related disciplines.
• Develop and continuously improve curriculum in accordance with industry trends, academic standards, and emerging technologies.
• Ensure effective academic planning, course delivery, assessment, and outcome-based education.
• Introduce new programs and specializations in areas such as Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Cloud Computing, Generative AI, IoT, Robotics, Blockchain, and Emerging Computing Technologies.
• Monitor academic performance and implement continuous improvement initiatives.

2. Faculty Leadership & Development

• Lead faculty recruitment, selection, onboarding, mentoring, appraisal, and professional development.
• Develop faculty performance indicators and academic/research KPIs.
• Promote FDPs, certifications, industry training, research collaborations, and interdisciplinary activities.
• Build high-performing academic and research teams.

3. Research & Innovation

• Develop a strong research culture across the School.
• Promote high-quality publications in reputed journals and international conferences.
• Encourage funded research projects, consultancy, patents, technology transfer, start-ups, and research commercialization.
• Facilitate Ph.D. research and interdisciplinary research initiatives.
• Establish research laboratories, Centres of Excellence, innovation centres, and industry-sponsored facilities.

4. Industry Collaboration

• Establish strategic partnerships with technology companies, MNCs, startups, research institutions, and government organizations.
• Develop MoUs, joint research projects, internships, live industry projects, industrial training, certifications, workshops, and expert lectures.
• Strengthen industry participation in curriculum development and academic advisory activities.
• Develop industry-integrated learning and employability initiatives.

5. Student Development & Placements

• Improve student employability, internships, placements, entrepreneurship, and higher-education opportunities.
• Promote hackathons, coding competitions, technical clubs, innovation challenges, research projects, and industry projects.
• Monitor student academic performance and progression.
• Develop mechanisms for industry-ready skill development.

6. Laboratory & Infrastructure Development

• Plan and manage state-of-the-art computing and research infrastructure.
• Oversee development and utilization of laboratories for:
• Artificial Intelligence & Machine Learning
• Data Science
• Cloud Computing & Big Data
• Cybersecurity
• IoT & Edge Computing
• Computer Vision
• Robotics
• Generative AI
• High-Performance Computing
• Software Engineering
• Prepare infrastructure development plans, budgets, equipment requirements, and technology-upgradation proposals.

7. Accreditation, Quality & Compliance

• Lead departmental/school-level activities related to NAAC, NBA, NIRF, UGC, AICTE, and other applicable accreditation and regulatory requirements.
• Ensure proper academic documentation, outcome assessment, academic audits, and quality-improvement processes.
• Maintain institutional records, reports, KPIs, and compliance documentation.

8. Strategic Planning & Administration

• Develop annual and long-term strategic plans for the School of Computer Science.
• Prepare and monitor academic, research, infrastructure, staffing, and financial plans.
• Manage budgets and optimize utilization of institutional resources.
• Conduct periodic reviews of academic, research, placement, and administrative performance.
• Coordinate with senior university management and other schools/departments.

9. Technology & Digital Transformation

• Identify emerging technologies and evaluate their relevance to academic and research programs.
• Promote adoption of AI, Generative AI, Cloud, Automation, Data Analytics, Cybersecurity, and Digital Learning Technologies.
• Lead digital transformation and technology-driven academic initiatives.

Key Performance Indicators (KPIs)

The Director will be evaluated based on measurable outcomes including:

• Student placement and internship performance
• Research publications and citations
• Funded research and consultancy revenue
• Patents, copyrights, and technology commercialization
• Ph.D. enrolment and completion
• Industry partnerships and MoUs
• Number and quality of industry projects
• Faculty recruitment, retention, and development
• New programs/specializations introduced
• Accreditation and ranking performance
• Laboratory/CoE development and utilization
• Student innovation, entrepreneurship, and competitions
• International academic/research collaborations
• Revenue generation through training, consultancy, FDP/EDP/CEP and executive education

Eligibility

Essential:

• Ph.D. in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Science, or a closely related discipline.
• Master's degree in a relevant discipline.
• Significant academic/research/industry experience, normally 10–15+ years, with substantial leadership experience.
• Demonstrated experience in academic administration and institutional development.
• Strong record of research publications and academic contributions.

Desirable:

• Experience as HoD, Dean, Associate Dean, Director, Centre Head, or equivalent leadership position.
• Experience in establishing/managing Centres of Excellence and advanced laboratories.
• Strong industry collaborations and funded research experience.
• Experience with NAAC/NBA/NIRF/UGC/AICTE processes.
• International academic or industry exposure.
• Strong record of patents, consultancy, sponsored projects, or technology transfer.

Core Competencies

• Strategic Leadership
• Academic Administration
• Research & Innovation Management
• Faculty Leadership
• Industry Engagement
• Technology Management
• Curriculum Development
• Accreditation & Quality Assurance
• Budget & Resource Management
• Communication & Stakeholder Management
• Team Building
• Change Management
• Institutional Development

Preferred Leadership Profile

The ideal candidate should be a senior academic and technology leader capable of integrating education, research, industry collaboration, innovation, and emerging technologies to build a globally competitive Computer Science School.

Position Level: Senior Academic Leadership
Experience: Typically 10–15+ years
Employment Type: Full-time

Pay: ₹100,000.00 - ₹200,000.00 per month

Work Location: In person