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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.

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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)

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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).

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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).

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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.

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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]