SmartCity- Crowd Sourced Data Acquisition
Location:
Cambridge , Massachusetts
Posted:
February 08, 2017
Reference:
1145652155
As a diversified health and well-being company, Philips is focused on improving people's lives through meaningful innovations across three interconnected sectors: Healthcare, Lighting and Consumer Lifestyle. Philips opened its first U.S. office in 1933, and today, the United States is the company's largest single market in the world, with more than 22,700 employees and operations at 50 major facilities in 22 states. Philips is more than a company. We're a family of people from all over the world who are dedicated to the same goal - creating cutting-edge products and solutions that actually make a difference in people's lives. About Philips Research North America Philips Research is one of the world's leading corporate research organizations and has a rich history of producing successful innovations in the area of health and well-being. Powered by the intellect and hard work of more than 1,600 talented individuals, we fuel value creation and growth in Philips by creating new technologies that improve people's lives. Philips Research North America is one of Philips' six worldwide research laboratories where innovations and discoveries help drive Philips products and opportunities. It is located in Cambridge, MA overlooking the Charles River walking distance from our collaborators at MIT. Detailed Position Responsibilities: Imagine the city of the future where sensors are seamlessly embedded in our city's infrastructure to drive insights and create meaningful interactions with our citizens. This vision, part of what is known as the SmartCity, is one of the many topics being researched at Philips Lighting. Such interactions may span public spaces such as parks and roadways or private spaces such as homes, offices, and shopping areas. Broadly speaking, the Internet of Things (IoT) is a system consisting of networks of sensors, actuators, and smart objects whose purpose is to interconnect "all" things, including everyday and industrial objects, in such a way as to make them intelligent, programmable, and more capable of interacting with humans and each other. We are offering an internship in the area of crowd-sourced data acquisition and analysis for IoT systems with emphasis on lighting. The intern's tasks will include benchmarking IoT platforms, and then developing a data acquisition system to collect, in a crowd-sourced fashion, multiple sensor attributes, including spectrum-related insights, in a multitude of spaces (public, office, retail, etc). We are looking for a graduate level student (PhD preferred) in engineering related disciplines. Experience in system prototyping, sensor networks, data analysis, and machine learning is required. Prior experience with spectral data acquisition for lighting systems is highly preferred. Coding experience in Python (numpy, scipy, matplotlib), or other programming languages is also required. Candidate must be able to work within a team environment and should be self-motivated with the ability to plan and execute. Candidate should also be able to communicate in English effectively, both verbally and written.



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