AI & IoT Research Intern

Requirements:

• Currently pursuing a PhD in 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 another relevant STEM or technical discipline.
• Relevant coursework, research, projects, laboratory work, 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 beneficial; experience in every area is not required.

Responsibilities:

• Support AI and IoT research, experiments, and literature reviews.
• Investigate emerging technologies and their applications.
• Develop and test prototypes and proof-of-concept systems.
• Work with sensors, connected devices, and edge or cloud platforms.
• Apply AI/ML techniques to data generated by IoT systems.
• Prepare technical documentation and research reports.
• Explore practical and commercial applications of research.
• Collaborate with R&D researchers, engineers, and other technical professionals.

Technologies:

• AI
• Cloud
• Computer Vision
• Embedded
• GitHub
• IoT
• Support
• Robotics
• Sensor Fusion

More

GAO Group and Aperture Venture Studio are seeking PhD students for a remote AI & IoT Research Internship lasting 3–6 months. Interns will join our R&D team and contribute to work involving Physical AI, AIoT, IoT, AI/ML, intelligent sensing, Edge AI, connected systems, and other emerging technologies. Research areas include intelligent connected systems, edge computing, sensor fusion, digital twins, cyber-physical systems, robotics, and industrial IoT. We offer practical research experience, exposure to technology development and commercialization, collaboration with researchers and industry professionals, and an internship completion certificate. Future research or technical opportunities may be available based on performance and organizational needs. To apply, submit an updated CV or résumé, cover letter, academic or research project details, a brief description of AI/IoT projects, and any applicable publications or portfolio/GitHub links.

last updated 43 week of 2026