Assistant Professor Industrial Automation, IoT & Machine Learning

The Bajaj Engineering Skill Training (BEST) Centre at Mahindra University, established in partnership with Bajaj Auto Ltd., is a specialized facility on the Hyderabad campus focused on Industry 4.0, Industrial Internet of Things, and firmware development.

The Department of Mechanical and Aerospace Engineering at Mahindra University invites applications from well-organized and skilled faculty in the areas of Mechatronics, Industrial Automation, IoT, Machine Learning, Deep Learning, and Cyber-Physical Systems. The selected candidates will contribute to teaching and administrative activitiesat the Bajaj Engineering Skill Training (BEST) Centre.

Faculty Position 1: - Industrial Automation and IoT

Required qualifications:

• Masters/PhD in Electrical/ Electronics/Mechatronics/Mechanical Engineering.
• Experience in dealing with Hydraulic, Pneumatics, CNC machines and PLCs.
• Expertise in few or most of the courses related to Controls, Embedded systems, sensors and actuators.
• Programming skills: Python and C/C++.
• Keen learn and implement new skills.

Faculty Position 2: - Machine Learning (ML) and IoT

Required qualifications:

• Masters/PhD in CSE/AI and ML for Industrial applications/Mechatronics and IoT.
• Should have experience in implementation of Machine learning, deep learning algorithms and IoT protocols.
• Expertise in few or most of the courses related to Machine learning, neural networks, deep learning, cyber physical systems and IoT.
• Programming skills: Python and C/C++.
• Keen learn and implement new skills.

Key Responsibilities:

• Teach courses related to the Advanced Manufacturing and IoT division of the Centre.
• Design, conduct, and upgrade laboratory experiments for courses offered by the Centre.
• Oversee the effective operation, maintenance, and safety of equipment in laboratories associated with the Advanced Manufacturing and IoT division.
• Evaluate students performance in both theory and laboratory courses.
• Supervise undergraduate student projects.
• Ensure optimal utilization of laboratory infrastructure.

The candidate should possess a strong academic background in the relevant engineering discipline, along with excellent teaching and communication skills. Hands-on experience in laboratory handling and the ability to train students in industrial technologies are essential.

Interested candidates may please share their CV to [Confidential Information] with the subject line: Application for Faculty Position in Industrial Automation and IoT BEST Centre.