Postdoctoral Researcher – AI & IoT

Company Description GAOTek Inc., a member of the GAO Group of Companies, is headquartered in New York City and Toronto and maintains a strong global presence. For over 20 years, GAOTek and its sister companies have supplied advanced fiber optic products, telecommunication testers, electronic measurement instruments, and a wide range of civil, mechanical, chemical, and other engineering solutions to technical professionals worldwide. The company serves customers in more than 50 countries and is recognized for the high quality and strong value of its products. A dedicated technical support team provides comprehensive assistance for all offerings. GAOTek also hosts a series of leading global ICT virtual summits, connecting experts and innovators across the information and communications technology sectors.
Role Description This is a full-time remote role for a Postdoctoral Researcher – AI & IoT. The Postdoctoral Researcher will design and conduct research projects at the intersection of artificial intelligence and Internet of Things, including model development, simulation, and evaluation of AI-driven IoT systems and applications. Daily activities include planning and executing experiments, analyzing experimental and real-world data, documenting methods and results, and preparing research outputs such as reports, publications, and presentations. The role involves collaborating with cross-functional teams to integrate AI and IoT solutions into relevant engineering and testing domains, and contributing to grant proposals or project plans when needed. The Postdoctoral Researcher may also mentor junior team members or interns and participate in GAOTek’s virtual summits and technical discussions to share findings and insights.
Qualifications
Strong laboratory skills and experimental design experience relevant to AI, IoT, and engineering contexts.
Proven research experience, including conducting independent studies, publishing in peer-reviewed venues, and staying current with AI and IoT developments.
Background in physics or related quantitative fields, with the ability to apply physical principles to sensor systems, signal processing, or IoT devices.
Advanced data analysis skills, including statistical methods, machine learning techniques, and use of relevant tools or programming languages (e.g., Python, MATLAB, R).
Teaching, mentoring, or supervision experience, with the ability to communicate complex technical concepts clearly to diverse audiences.
Doctoral degree (PhD) in AI, Computer Science, Electrical/Computer Engineering, Physics, or a closely related discipline.
Experience with IoT platforms, embedded systems, sensor networks, or edge computing, and familiarity with cloud services and APIs.
Strong written and verbal communication skills, capacity to work independently in a remote setting, and effective collaboration skills in distributed teams.
Experience in telecommunications, fiber optics, or measurement instrumentation is an asset.

Work arrangement
Yes