Job description: Director of Quantum Education
A Director for Quantum Education typically leads the strategy, curriculum development, and industry partnerships for quantum computing academic or technical training programs. Key duties involve designing specialized coursework, fostering collaborations with tech companies/national research bodies, and leading initiatives for research, faculty training, and student acquisition.
Job Description: Director / Academic Director - Quantum Education
Position Summary
The Director for Quantum Education is responsible for establishing a world-class, industry-aligned quantum education ecosystem. This role bridges academia and industry, crafting curricula that address the urgent need for skilled professionals in quantum hardware, software, and AI integration.
Key Responsibilities
- Curriculum Development: Design, implement, and continuously update undergraduate, postgraduate, or executive education programs in Quantum Technology/Quantum AI.
- Strategic Leadership: Develop a 3-5 year roadmap for quantum education initiatives, aligning academic offerings with the National Quantum Mission and industry demands
- Industry & Government Partnership: Build strategic relationships with Research labs, industry leaders, and government partners (e.g., DST, MeitY, DRDO) for collaborations, research grants, and internships.
- Faculty & Academic Leadership: Recruit, mentor, and lead a team of academic professionals in delivering high-quality education and research.
- Research & Innovation: Drive independent or cross-functional research projects in quantum algorithms, hardware, or quantum computing applications.
- Student & Ecosystem Engagement: Promote quantum literacy through specialized workshops, webinars, and hackathons to drive student acquisition.
Required Qualifications
- Education: A Ph.D. in Physics, Computer Science, Mathematics, or a closely related field, with a focus on Quantum Technologies.
- Experience: Significant experience in leading research, academic programs, or technical education initiatives, preferably 10+ years.
- Technical Skills: Deep understanding of quantum computing algorithms, hardware, or related AI/cryptography domains.
- Leadership Skills: Proven ability to manage teams, build stakeholder relationships, and achieve strategic goals.
