About the Role We are seeking applied technical leaders to serve as Associate Professors and serve as the primary engineering anchors for our upcoming B.Tech in Artificial Intelligence, Robotics & IIoT. This role bridges deep academic rigor with practical, hands-on automation expertise. The appointee will own the core engineering spine—from PLC, SCADA, sensors, and pneumatics to deep learning, ROS/ROS2, edge computing, digital twins, and predictive maintenance—delivering applied learning on our state-of-the-art SMC Corporation AIT-400 AI Machine Lab. Primary Programme Owned • B.Tech — Artificial Intelligence, Robotics & IIoT(Shared teaching load across PGDM AI & ML Industrial Automation 4.0, PGDM Global, and MBA Applied AI for Automation) Mandatory Eligibility Criteria (AICTE Level 13A1) • Ph.D. in AI, CS, Electronics, Electrical, Instrumentation, Mechatronics, Robotics, or a closely allied engineering discipline. • First Class at Bachelor’s or Master’s level (M.E./M.Tech.). • 8 to 10 years of combined teaching, research, and industry experience (with a minimum of 2 years post-Ph.D.). • 6+ research publications in SCI, Scopus, or UGC-CARE listed journals. • Research Supervision: Evidence of PG dissertation supervision (recognized Ph.D. guide status strongly preferred). Core Technical Competencies Required Candidates must be able to teach and practically demonstrate skills across key domains: • AI & Machine Learning / Vision: Deep Learning (CNNs, Transformers), MLOps, Python/PyTorch/TensorFlow, Defect Detection, and Camera Calibration. • Robotics & Automation: Forward/Inverse Kinematics, ROS/ROS2, FANUC-class teach-pendant operation, PLC ladder logic, HMI/SCADA, SMC pneumatics/electro-pneumatics. • IIoT, Edge & Security: Modbus, Profinet, OPC-UA, MQTT, Edge Inference, Digital Twins, Predictive Maintenance, and OT Cybersecurity (ISA/IEC 62443). Key Performance Expectations • Research Output: Minimum 2 Scopus/SCI indexed papers per academic year and 1 external grant proposal submitted annually (DST, SERB, AICTE, MeitY, or OEM). • Lab Ownership: Earn SMC AIT-400 OEM Trainer Certification within 6 months and ensure 100% lab hour delivery on EXPLENET. • Student Outcomes: Achieve ≥85% OEM/IIT Ropar credential completion rate for mentored students and source ≥40% of supervised capstone projects from live industry problems. Interested candidates meeting AICTE Associate Professor norms and possessing practical laboratory/automation depth may send their CV, publication list, and portfolio of technical work to [email protected]