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

Responsibilities:

• Developing AI, pre and post processing algorithms on signals, images and videos with a focus on ultrasound.
• Develop various machine learning and deep learning techniques and algorithms for regression, classification, statistical modelling, and predictive modelling, etc., for ultrasound applications
• Exploration of various Deep neural network architectures and transfer learning methods

Basic Requirements:

• 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++
• Commit for 12 months internship
• Currently pursuing MTech from IITs and IIIT only (no NIT etc)

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
This role is an office role.
 

About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.