AI & IOT Research Intern
GAO Tek Inc.
IndiaFresher23h agovia LinkedIn
About the Role
GAO Group & Aperture Venture Studio are seeking PhD students for a 3–6 month AI & IoT Research Internship. This is a Remote, Unpaid internship opportunity. You will join the Research & Development (R&D) team.
Research Areas
- IoT & Intelligent Connected Systems
- Edge Computing & Edge AI
- AI/ML for IoT
- Intelligent Sensing & Sensor Fusion
- Digital Twins & Cyber-Physical Systems
- Robotics & Physical AI
- Industrial IoT & Smart Infrastructure
Key Responsibilities
- Support AI/IoT research, experiments, and literature reviews
- Research emerging technologies and applications
- Develop and test prototypes and proof-of-concept systems
- Work with sensors, connected devices, and edge/cloud platforms
- Apply AI/ML to IoT-generated data
- Prepare technical documentation and research reports
- Explore practical and commercial applications
- Collaborate with R&D researchers, engineers, and technical professionals
Qualifications
- PhD students from Electronics, Computer Science, Engineering, AI/ML, IoT, Robotics, Embedded Systems, Chemistry, Chemical Engineering, Agriculture, Environmental Science, Biotechnology, Bioengineering, Materials Science, Physics, Mathematics, Life Sciences, or other relevant STEM and technical disciplines.
- Relevant coursework, research, projects, laboratory, or technical experience is encouraged.
- Knowledge of AI/ML, IoT, sensors, embedded systems, programming, data analysis, edge/cloud computing, robotics, computer vision, or digital twins is valuable. Experience in every area is not required.
What You’ll Gain
- Practical AI & IoT research experience
- R&D experience in emerging technologies
- Exposure to Edge AI, Physical AI, sensing, and connected systems
- Prototype and proof-of-concept development
- Collaboration with researchers and industry professionals
- Technology development and commercialization exposure
- Remote research experience
- Internship Completion Certificate
- Potential future research/technical opportunities based on performance and organizational needs