Compressed Sensing and Signal Recovery Internship
Location: Cambridge, Massachusetts
Posted: November 25, 2016
Reference ID: 1594501289
About Philips: 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 firstU.S.office in 1933, and today, theUnited Statesis the company's largest single market in the world, with more than 22,000 employees and operations at 50 major facilities in 22 states. At Philips, we believe that in order to make something for a person, you first have to be one. That's why, we empower our employees to build personally meaningful careers by encouraging them to take the experiences and interests that motivate them in their daily lives and apply them professionally. Detailed Position Responsibilities We are offering an internship in the area of compressed sensing and signal recovery. The intern will work on solving highly challenging research problems related to high-dimensional signal recovery from aggressively sampled sensor readings. Work will involve fundamental research as well as prototyping and testing in simulation and on physical testbeds. Detailed Position Requirements: We are looking for a PHD student in Computer Science or Computer Engineering with extensive research experience in most of the following areas: sensor networks, compressive sensing, signal/image processing, ill-posed inverse problems, multi-dimensional sparse signal recovery, active sensing. Candidate must show strong skills in both research and simulation/programming skills (Matlab/Python preferred). 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 written and verbal.