Overall responsibilities

　　Provide support with guidance to solve complex problems in medical image processing and deliver PoC with TRL level ready for NPI program.

　　Support collaboration with clinical scientists, AD leader and universities to drive advanced development projects on medical image analytics from R&D perspective.

　　Support NPI development and address time-pressing complex LCM challenges with image processing / IQ using expertise.

　　Higher degree of learning attitude to absorb newer knowledge on medical image pre- and / or post-processing.

　　Specific responsibilities

　　Hands-on work in some of the following tools, packages, technical areas and modeling techniques:

　　Keras, Tensorflow, Pytorch, Scikit-learn, Scikit-image, OpenCV, pydicom

　　Matlab, python, R, Java/C/C++ Convolution Neural Networks, other statistical modeling & classification approaches (regression, SVM, PCA)

　　Opensource medical image visualization and segmentation tools like ITK, VTKMedical image post-processing techniques such as noise reduction, contrast enhancement, bone suppression, stiching, ranging. Knowledge of overall IQ (image quality) analysis of diagnostic X-ray images is a plus.

　　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 commitment to diversity and inclusion here.

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