Overview
Our B.Tech programs bridge classical engineering and deep tech, offering India's first undergraduate access to 8-qubit and 16-qubit quantum processors. Dedicated program heads will lead our specializations in Quantum Computing and Technologies, AIML, Robotics and Automation, and Cyber-Physical Systems.
Key Responsibilities
- Curriculum Innovation: Design and continuously update a future-ready curriculum that integrates classical engineering with deep-tech domains like Quantum algorithms, Generative AI, ROS, and Edge Computing.
- Infrastructure Mastery: Lead hands-on laboratory learning by coordinating student access to India's first undergraduate 8-qubit/16-qubit quantum processors, NVIDIA DGX GPU clusters, and advanced robotics workstations.
- Academic Excellence: Drive the Outcome-Based Education (OBE) framework and lead all departmental documentation for national and international accreditations, including NBA, NAAC, and ABET.
- Student Mentorship: Oversee student success through academic advising and coaching for global platforms, such as Kaggle competitions, robotics challenges, and deep-tech hackathons.
- Ecosystem Building: Establish strategic partnerships with industry leaders (Google, IBM, NVIDIA) and government initiatives to facilitate high-impact internships, research projects, and career placements.
Qualifications
- Ph.D. in Computer Science, Quantum Computing, AI/ML, Robotics, Mechatronics, or a related Deep-tech field from a top-tier global or national institution (e.g., IIT, IISc, or equivalent).
- Minimum 5-8 years teaching/research experience in quantum computing
- Proven hands-on expertise in the specific domain's tools, such as, Qiskit, Cirq, or PennyLane, PyTorch, TensorFlow, and training large-scale neural networks, ROS (Robot Operating System), embedded systems, and IoT protocols.
- Understanding of NBA/NAAC accreditation and OBE
Experience Required
Minimum 5-8 years of teaching and/or research experience
