Job Description

Job Summary:

The Department of Robotics & Artificial Intelligence invites applications for the position of Faculty Members with strong academic credentials, research experience, and a passion for teaching. The ideal candidates should hold a Ph.D. or M.Tech in Robotics or closely related fields, with proven exposure to AI technologies and applications.

Eligibility Criteria:

Qualification:

Ph.D. in Robotics / Artificial Intelligence / Mechatronics (Preferred).
Candidates with M.Tech in Robotics or related fields having a strong research and academic record will also be considered.

Experience:

Minimum 8 years of teaching, research, or relevant industry experience.

Desired Expertise:

Deep understanding of core areas such as Intelligent Robotics, Machine Vision, Autonomous Systems, Control Systems, and Human-Robot Interaction. Applied knowledge and research background in Artificial Intelligence and Machine Learning within the Robotics domain. Hands-on experience with robotics platforms, programming (Python, ROS, C++), and simulation tools. Demonstrated record of research publications, project involvement, or patents in related areas. Ability to supervise student research and engage in funded project proposals.

Key Responsibilities:

Deliver lectures and hands-on training for undergraduate and/or postgraduate programs. Guide student research, projects, and thesis work. Publish research in reputed national and international journals/conferences. Participate in curriculum enhancement and innovation. Collaborate with research bodies, industry partners, and internal stakeholders for academic development. Support the department in accreditations, lab development, and outreach initiatives.

Key Attributes:

Excellent communication and classroom management skills. Passionate about Robotics, AI, and interdisciplinary learning. Strong research orientation with collaborative and leadership potential. Dedicated to academic excellence and continuous improvement.
Job Types: Full-time, Permanent

Schedule:

Day shift Morning shift
Experience:

Teaching: 9 years (Preferred)
Work Location: In person