Job Description

Job Title Research Intern - 2 to 6 Months



Philips is a global leader in health technology, committed to improving billions of lives worldwide and striving to make the world healthier and more sustainable through innovation. Driven by the vision of a better tomorrow.

But it's not just what we do, it's who we are. We are 80,000, wonderfully unique individuals, with two things in common. and a relentless determination to deliver on our customers' needs. It's what inspires us to create meaningful solutions - the kind that make a real difference - when it matters most.

The world and our customers' needs are changing faster than ever before and while we are proud of what we do already, we know we can do more. That's why we need you, to help us tackle increasingly complex challenges posed by ever evolving health and well-being needs.

In this role, you have the opportunity to make life better
Looking at the challenges the world is facing today Philips' purpose has never been more relevant. So whatever your role, if you share our passion for helping others, you'll be working towards creating a better and fairer future for all.

You are responsible for

We are looking for students who are passionate about AI, advancing science, and building the next
generation of intelligent systems for various health-care applications. Our ambitious AI research agenda
is both broad and deep, with leading edge projects in signal & image processing, machine learning,
deep learning, and NLP techniques. You will interact with multiple teams on AI and will help bring
research ideas into scalable, robust systems.

To succeed in this role, you'll need a customer-first attitude and the following
? Developing AI, pre and post processing algorithms on signals, images and videos
? Develop various machine learning and deep learning techniques and algorithms for regression,
classification, statistical modelling, and predictive modelling, etc., for healthcare applications
? Exploration of various Deep neural network architectures and transfer learning methods

Basic Requirements:
? Bachelor/Masters holders in electronics/computer science/statistics/signal & image
processing/machine learning/artificial intelligence /data science or any other related discipline
? Experience with one or more analytic software tools or languages (like R and Python)
? Experience in C/C++

In return, we offer you
Describe in two to three lines what tangible and intangible benefits the incumbent will gain in this role. Use our Employer Value Proposition (EVP) themes and information gathered in the RSM as input sources.

How we work at Philips
Our newly-adopted hybrid work concept fuses flexibility with collaboration to deliver great outcomes for our people and our customers. We are embracing an approach wherein we spend more time together than apart - which for full-time employees translates to an average of at least 3 days working from the office and up to 2 days from home - for our hybrid roles.
Hybrid work flexibility means people can meet the changing demands of work and home in the most balanced, productive, and healthy way.

Our hybrid working model is defined in 3 ways:
We believe in the importance of impactful collaboration: There's a certain energy when everyone's in the same room that can heighten idea generation and creative friction needed for problem-solving.
We embrace flexibility: Choosing where, when and how to work can vary according to task and team schedules. Flexibility isn't office or online, it means choosing the space that works best for you, your teams and our customers on a case-by-case basis.
We want to be at our best: The way we work and our workspaces are designed to support our well-being, offer career advancement opportunities, and enable us to be at our best.

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 innovative, customer-first health technology solutions. Help us improve the health and well-being of billions of people, every year. Ultimately creating a career that no one could have planned for. Even you.