Internship

Machine Learning/AI

Connected Things Consulting Inc.


  Posted: January 6, 2022

  Location: Vancouver, British Columbia

  Internship Program: Natural Resources

  Salary Range: $30,000 - $40,000

  Hours per Week: 40

  Start Date: February 1, 2022

  End Date: August 31, 2022

Job Description

Connected Things is a technical and business solutions provider which specializes in providing small and mid-size businesses with simple and flexible IoT solutions. Our goal is to cater to a broad range of sectors including smart building management and Agritech. These solutions must be highly customizable, easy to use, efficient, cost-effective, and accessible from anywhere and anytime. We are continuously improving our products toward achieving the above goals. The company’s vision is to develop AI-enabled frameworks for the built environment for sustainable operation from various aspects including resources and energy.

Duties and Responsibilities

The intern will work with our development team on an ongoing project related to distributed wireless architectures and algorithms. Such architectures require new paradigms which can be made possible by utilizing modern information and communications technologies such as the emerging Internet-of-Things technology. These systems are gaining popularity in high-value niche markets with geographically dispersed intelligent wireless platforms such as software systems for energy-efficient lighting; structural health monitoring; and heating ventilation and air conditioning (HVAC). The intern will work with our team in the integration and deployment of the system comprised of software and Machine Learning algorithms for energy-efficient building automation systems based on algorithms that take the distributed nature of a wireless control network into account. This demonstration phase would allow us to evaluate and refine our solution before deploying a real environment (office areas or parking spaces).

Knowledge and Skills

Machine Learning, C++, Python, Database

Education Required

Computer Science Student/gradute - Engineering student/graduate

  How to Apply

To apply, send your resume to mkeikha@connectedthings.ca.

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