Electrical Engineering Intern

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Posted:1 day ago| Platform: Linkedin logo

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Job Type

Internship

Job Description

📍 Location: IIT Delhi

🕒 Duration: 6 months (extendable based on performance)

🎓 Eligibility: B.Tech / M.Tech in Electronics, Instrumentation, or related fields



About the Project:

At Diagnovate Pvt. Ltd., we’re developing an AI-powered, non-invasive device that detects and monitors diabetes through breath analysis — eliminating the need for needles or blood samples. By combining advanced sensor technology with machine learning and data-driven insights, we aim to make diabetes screening simpler, faster, and more accessible for people everywhere.

This project builds on our ongoing work in non-invasive diagnostics and reflects our broader mission to redefine preventive healthcare through innovation. With a focus on affordability, usability, and real-world impact, we’re creating technology that empowers individuals to take charge of their health — one breath at a time.


Role & Responsibilities:

As an Electronics Engineering Intern, you will work closely with our core team and researchers at IIT Delhi. Your responsibilities will include:

  • Designing and developing embedded systems for breath analysis.
  • Interfacing gas sensors (e.g., VOC, CO₂, particulate matter) with microcontrollers (ESP32, STM32, etc.).
  • Implementing signal conditioning circuits for sensor outputs.
  • Contributing to PCB design, prototyping, and testing of the device.
  • Assisting in data acquisition and calibration of sensor data for health diagnostics.
  • Collaborating with software and ML teams for real-time integration.


Desired Skills:

  • Experience with microcontrollers (Arduino, ESP32, STM32, etc.)
  • Familiarity with circuit design tools (e.g., KiCad, Eagle, Altium)
  • Knowledge of analog/digital sensor interfacing
  • Basic understanding of signal processing and filtering techniques
  • Bonus: Exposure to IoT-based hardware or health tech devices


Perks:

  • Certificate from Diagnovate Pvt. Ltd. 
  • Real-world project experience in health tech
  • Opportunity to work with experts from AI, embedded, and medical research domains
  • Stipend: 15K -20K

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