Postdoctoral Researcher – AI & IoT

Company Description GAO Tek Inc., a member of the GAO Group of Companies, is a North America–based global supplier of advanced engineering and testing products. Headquartered in New York City and Toronto, the company has over 20 years of innovation experience and serves customers in more than 50 countries. GAO Tek provides fiber optic equipment, telecommunication testers, electronic measurement instruments, and a wide range of civil, mechanical, and chemical engineering solutions. The organization is recognized for the high quality and strong value of its products, backed by a dedicated technical support team. GAO Tek also hosts leading global ICT virtual summits, creating opportunities for knowledge exchange and collaboration.
Role Description The Postdoctoral Researcher – AI & IoT will conduct independent and collaborative research on applying artificial intelligence and machine learning to Internet of Things systems and engineering products. This full-time remote role involves designing and implementing experiments, developing algorithms and models, analyzing large data sets from sensors and measurement instruments, and validating results in laboratory or simulated environments. The researcher will document findings through technical reports and publications, contribute to research proposals, and support ongoing projects related to fiber optics, telecommunications, and other engineering domains. Additional responsibilities include mentoring junior researchers or interns, presenting work in virtual summits or internal seminars, and collaborating with cross-functional teams to translate research outcomes into practical solutions.
Qualifications
Strong research skills, including experimental design, literature review, and scientific writing.
Laboratory skills relevant to AI & IoT applications, instrumentation, and experimental validation.
Background in Physics or related fields, with a solid foundation in mathematics and engineering principles.
Proficiency in data analysis, including statistical methods, machine learning, and handling large data sets.
Teaching or mentoring experience, with the ability to explain complex technical concepts clearly.
Advanced programming skills (e.g., Python, MATLAB, R) and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch).
Knowledge of IoT architectures, communication protocols, and sensor networks.
Ph.D. in Physics, Electrical/Computer Engineering, Computer Science, or a closely related discipline.
Strong problem-solving abilities, attention to detail, and capability to work independently in a remote setting.
Effective written and verbal communication skills and experience collaborating in multidisciplinary teams.

Work arrangement
Yes