To succeed in this role, you should have the following skills and experience
Proven capabilities in the domain of machine learning and hands-on experience with a particular sub-fields such as deep learning (e.g. convolutional neural networks, restricted Boltzmann machines, recurrent neural networks, etc.);
PhD in computer science or another relevant area providing good foundation in computer and data science, applied mathematics (including statistics, artificial intelligence, probability theory, etc.), or an MA/MSc with several years of relevant experience;
Strong analytical skills, curious, proactive, fast learner able to quickly pick up new areas;
Business acumen and understanding of business, market, and customer needs;
Good communication and interpersonal skills, with the ability to build strong personal relationships at all levels, both internal and external to Philips Research;
Affinity to the research way of working; Team player in multidisciplinary international setting, able to manage uncertainties and adapt quickly;
Experience with tools such as R, Python, TensorFlow, etc.
Experience with high performance / distributed computing is a plus.
Why should you join Philips?
Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum at http://www.philips.com/b-dam/corporate/corporateblog/2016/PhilipsChronicDisease_5.jpg . Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways. Learn more by watching this video .
To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page at http://www.philips.com/a-w/careers/healthtech/working-at-philips/working-at-philips.html on our career website, where you can read stories from our employee blog at http://www.usa.philips.com/a-w/our-people/life-at-philips.html . Once there, you can also learn about our recruitment process at http://www.philips.com/a-w/careers/healthtech.html , or find answers to some of the frequently asked questions at http://www.philips.com/a-w/careers/healthtech/faq.html .