September 28, 2017
We are in the process of recruiting candidates for the HEART PhD position. In order to find good candidates, I would be grateful if you could distribute within your organization.
Topic: Privacy and security analytics
Objectives: In the domains of smart homes and healthcare, the life of people is improved by devices that gather personal data and process it, into relevant health information using third party smart services and technology providers (e.g. cloud and Big Data analytics services). While the use of IoT devices can bring advantages in terms of efficiency, convenience, and costs, their use raises privacy concerns regarding the users and their personal activity data. The sensitive nature of this data and sharing it with a centralized server (e.g. cloud) raise privacy concerns, even if the latter is well protected. These privacy concerns can be addressed by using an end-to-end approach to privacy and data protection and building systems with privacy embedded in the system architecture, while coherently integrating health-specific privacy, security and legal requirements.
Philips has a long history of successfully introducing innovative products to the market (lamps, CD players, TV’s, medical imaging equipment, equipment for patient monitoring, etc). Today, Philips is moving towards connecting its products to the digital world, introducing new services and integrated solutions based on digital technologies connected to the cyber space. Therefore, Philips Research and Philips product divisions rely more and more on digital security technologies which are playing a crucial role in new Philips products, services, software and solutions. We are looking for a top scientist with a strong computer science / mathematical background to strengthen our competences in digital security and who can help us to build and offer competitive trusted solutions and services in Healthcare. The candidate will join the Data Science department of Philips Research.
Philips Research is the source of many advanced developments in Healthcare, Lifestyle and Technology. Building on 100 years of experience in industrial research and our world-leading patent position, we're dedicated to bringing meaningful innovations that improve people's lives.
We provide technology options for innovations in the area of health and well-being, targeted at both developed and emerging markets. Positioned at the front-end of the innovation process, we work on everything from spotting trends and ideation to proof of concept and first-of-a-kind product development. For more insights you can visit: www.research.philips.com
The mission of the Data Science department is to lead Philips into the Digital era through world-class innovations on data analytics and digital security. The focus of the department is on advancing the automated analytical methods used to extract new knowledge from data, as well as to strengthen brand image by ensuring privacy as well as trustworthiness and protection of digital propositions. The department builds on several interconnected competences including data management, machine learning, statistics, probability models, pattern recognition, data engineering, security and privacy. We use the advances in the aforementioned scientific disciplines, as well as new digital platforms to create innovation for Philips businesses by real-time extraction of insights from various sources like sensors, mobile devices, Web, and social networking sites. Next to that, security and privacy are addressed and taken into account already in the design phase of Philips digital propositions. The department plays a crucial role in digital and data intensive research projects using these competences.