Robotics Engineer + Instructor

About:

Newton School of Technology (NST) is a contemporary institution dedicated to redefining technical education in India. Founded by alumni of the Indian Institutes of Technology (IITs),

NST offers a four-year B.Tech program in Computer Science and Artificial Intelligence, emphasising experiential learning, interdisciplinary learning, and strong industry engagement.

Within two years of its establishment, over 93% of NST students have secured paid internships with leading organisations such as Razorpay, SarvamAI, and DRDO, along with exposure to global technology ecosystems through academic immersions in Singapore and Silicon Valley.

NST is led by a distinguished faculty comprising ICPC World Finalists and experienced professionals from organisations including ISRO, Microsoft, MakeMyTrip, and other prominent technology firms. The institution is committed to developing a scalable, high-impact academic model that equips graduates with the skills required for advanced roles in technology and engineering.

About the Role Robotics Instructor

Newton School of Technology invites applications for the position of Robotics Engineer +Instructor within the interdisciplinary engineering and science department. This role is ideal for professionals or academicians with strong expertise in Robotics, Control Systems, Mechatronics, and Applied Physics, who are passionate about hands-on experimentation, problem-based learning, and mentoring students in engineering fundamentals.

The selected candidate will be responsible for designing and delivering theory and laboratory

courses, guiding student projects, and integrating real-world engineering applications into the curriculum. The role requires collaboration with faculty across Computer Science, AI, and Engineering domains to promote interdisciplinary learning.

Key Responsibilities:

Teaching and Academic Delivery

Design and deliver project-based courses in Robotics and Applied Physics, including:

Mechanics, Kinematics, and Dynamics

Electronics and Sensors

Control Systems and Feedback Mechanisms

Microcontrollers and Embedded Systems (Arduino, Raspberry Pi, ESP32, etc.)

Robotics Programming (Python / C++)

Computer Vision for Robotics

Motion Planning and Navigation

Lab-based experimentation in physics and robotics

Curriculum Development

Contribute to the design and continuous improvement of Robotics and Applied Physics curriculum

Integrate real-world engineering problems, industry case studies, and hands-on lab work

Student Mentorship

Guide students in robotics projects such as autonomous robots, drones, robotic arms, and IoT-based systems

Provide technical feedback on design, implementation, and testing

Career Guidance

Mentor students on careers in Robotics, Mechatronics, Automation, and Embedded Systems

Support students in preparing for internships and technical roles

Industry Alignment

Stay updated with advancements in robotics, automation, AI-integrated robotics, and smart systems

Bring contemporary tools and practices into classroom teaching

Collaboration

Work closely with AI/ML faculty to integrate robotics with computer vision and

machine learning

Collaborate with engineering and lab teams for practical learning modules

Assessment and Evaluation

Design practical lab assignments, mini-projects, and capstone evaluations

Qualifications and Experience:

Bachelors or Masters degree in Physics, Robotics, Mechanical Engineering, Mechatronics, Electrical Engineering, or related field (Ph.D. is desirable but not mandatory)

Minimum 57 years of hands-on industry or academic experience in Robotics, Automation, or Applied Physics

Demonstrated experience in building robotic systems, experimental physics setups, or real-world engineering applications

Strong conceptual understanding of mechanics, electronics, and control systems

Demonstrated commitment to teaching, mentorship, and hands-on learning

Required Skills

Technical Competencies

Strong foundation in Physics and Engineering principles

Hands-on experience with:

Microcontrollers (Arduino, Raspberry Pi, ESP32)

Sensors and actuators

Robotics frameworks (ROS preferred)

Python and/or C++ programming

CAD tools (SolidWorks / Fusion 360 preferred)

Basic AI/CV integration in robotics (good to have)

Professional Skills

Excellent communication and presentation abilities

Ability to explain complex technical concepts clearly

Strong collaboration and teamwork

Passion for teaching, experimentation, and innovation