Complex Systems Data Mining Intern
Job TitleComplex Systems Data Mining Intern
Philips Lighting Research North America focuses on the research and development of leading-edge analytics and internet of things solutions based on lighting infrastructure. The team partners with world-class institutes such as MIT, and leverages the North American ecosystem. Join us and work in a dynamic environment with opportunities to contribute to a number of innovation topics and application areas related to internet of things, data and cloud applications. Further details can be found at: http://www.research.philips.com/index.html.
We are offering an internship in process mining where data mining methods will be used to understand systems deployment processes from log files. The intern's main tasks include: data cleaning, running machine learning and process mining methods to discover workflows from log data, compute KPIs, and prescribe workflow optimization actions.
Philips Lighting is the global leader in lighting products, systems and services. Our understanding of how lighting positively affects people coupled with our deep technological know-how enable us to deliver digital lighting innovations that unlock new business value, deliver rich user experiences and help to improve lives. Serving professional and consumer markets, we sell more energy efficient LED lighting than any other company. We lead the industry in connected lighting systems and services, leveraging the Internet of Things to take light beyond illumination and transform homes, buildings and urban spaces. For more information, visit us online.
We are looking for:
The ideal candidate will have prior experience in three or more of the following areas: data analytics, machine learning, process modeling, data mining, process mining, optimization theory. This position is best suited for a graduate student (PhD level preferred) in Computer Science, Electrical/Computer Engineering, Applied Mathematics, or other related STEM disciplines. Strong database (structured and unstructured) and programming experience in Python, R, and/or Java is a must. Strong prior experience in process mining is highly desirable. Experience in web services, mobile application development is a plus.
The candidate should be able to work within a team environment, self-motivated and able to complete assigned tasks with minimal supervision.
Advance your career in an environment that supports work-life balance, well-being and continuous learning. Making an impact through meaningful innovation starts here. Apply today!
Visit our careers website to learn more about Philips Lighting or introduce yourself on our Talent Community.
Philips is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex (including pregnancy), sexual orientation, gender identity, national origin, genetic information, creed, citizenship, disability, protected veteran or marital status.
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