Job Title: Assistant Professor – Robotics / Drones / 3D printing / IOT.
Department: Mechanical, Electrical, Electronics
Location: PAN India, as per Project location.
Employment Type: Full-time.
Job Summary
We are seeking a motivated and qualified Assistant Professor with a background in Robotics, Drones, Autonomous Systems, or related fields to join our academic team. The candidate will be responsible for teaching undergraduate and/or postgraduate courses, mentoring students, contributing to curriculum development, and supporting research and innovation activities.
Qualifications
M.Tech in Robotics, Drones, Autonomous Systems, Mechatronic Systems (with robotics focus) or a closely related discipline from a recognized university.
Minimum 1 year of teaching, research, or relevant industry experience in robotics or drone-related domains.
Candidates with hands-on project or lab experience will be preferred.
Key Responsibilities
Deliver lectures, tutorials, and laboratory sessions in robotics, drones, and related subjects.
Develop and update course materials in line with academic and industry standards.
Guide student projects, internships, and research activities.
Conduct laboratory experiments and oversee robotics/drone labs.
Contribute to departmental and institutional academic activities.
Support curriculum design and accreditation requirements.
Engage in continuous professional development.
Required Skills & Competencies
Strong knowledge of robotics systems, UAVs/drones, sensors, actuators, and control systems.
Familiarity with programming languages such as Python, C/C++, MATLAB, or ROS.
Hands-on experience with robotics kits, drone platforms, or simulation tools.
Good communication and presentation skills.
Ability to mentor and motivate students.
Collaborative mindset and commitment to academic excellence.
Desirable Skills (Optional)
Experience with ROS, computer vision, AI/ML for robotics, or autonomous navigation.
Publications or research experience in robotics or drone technology.
Industry exposure or project-based learning experience.
Compensation
Salary and benefits will be as per interview performance and commensurate with qualifications and experience.