Location: Cambridge, Massachusetts
Posted: November 25, 2016
Reference ID: 1276336692
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. Assignment Hospitals monitor patients' vital signs, such as heart rate and blood pressure, to alert clinicians that their patients that are deteriorating and may require critical interventions. These alarms help clinicians save lives (e.g. alerting clinicians of cardiac arrest). However, many hospitals are experiencing alarm fatigue. There are on the order of thousands of alarms per unit per day, and tens of thousands of daily alarms per hospital; many of these false positives. This results in clinicians becoming desensitized to the constant noise of alarms or overwhelmed by the sound, causing them to ignore the alarms or even turn them off. This is a widely expressed need of hospitals across the world, and in particular in North America, because it interferes with patient safety, exposing patients (and hospitals) to serious harm. In this position, you will work on identifying alarms that are false positives and identifying strategies to reduce the number of false alarms, which will help clinicians and hospitals give better care to their patients. Requirements Currently enrolled in an accredited PhD program, or completing MS in engineering and enrolled in a PhD program starting in the fall of 2016. Target Disciplines: Biomedical Engineering, Electrical Engineering, Computer Science, Physics, Statistics, and Mathematics. The candidate is expected to have experience with: - data mining/machine learning/statistical theory - digital signal processing - programming in python - databases (e.g. mySQL) and C# is preferred Experience in the medical domain, in particular patient monitoring within critical care settings such as Emergency Departments and Intensive Care Units is desirable.