Faculty – Robotics & Artificial Intelligence

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