Robotics Instructor- M.Tech

Newton School; Bengaluru; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Newton School of Technology invites applications for the position of Robotics Instructor within the interdisciplinary engineering and science department. This role is ideal for professionals 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

Qualifications

• Master's degree or PhD in Robotics, Mechanical Engineering, Mechatronics, Electrical Engineering, or related field.
• 1+ 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

Responsibilities

• Design and deliver project-based courses in Robotics and Applied Physics, including mechanics, electronics, sensors, and control systems.
• Guide student projects such as autonomous robots, drones, robotic arms, and IoT-based systems.
• Collaborate with AI/ML faculty to integrate robotics with computer vision and machine learning.
• Develop practical lab exercises and capstone evaluations to assess hands-on skills.
• Stay updated with advancements in robotics, automation, and smart systems.

Skills

Robotics

Mechatronics

Control Systems

Embedded Systems

Python

C++

ROS

Education

Master's degree in Robotics/ME/Mechatronics

Tools

Arduino

Raspberry Pi

ESP32

SolidWorks

Fusion 360

ROS

Job description

Job Description - Robotics Instructor

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, emphasizing 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 organizations 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 organizations 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 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

• Master s degree or PhD in Robotics, Mechanical Engineering, Mechatronics, Electrical Engineering, or related field.
• 1+ 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