The IMAG/e group investigates image analysis methodology on topics such as registration, quantification, crowdsourcing and machine learning. In close contact with industry and hospitals, the group contributes to the field of image analysis for oncology, cardiology, neurology and histopathology as well as the field of high-field MRI acquisition and RF safety.
This project will be done in collaboration with the Department of Mathematics and Computer Science. We are seeking a highly creative and motivated software engineer to support and accelerate research in the Eindhoven University of Technology. Our goal is to extend the OpenML platform to support medical image analysis and data science challenges.
You will be working with many different machine learning libraries (e.g. scikit-learn, Keras, TensorFlow,...) and implement algorithms to analyze medical images. The end goal is to organize data science challenges and set up a collaboration and education platform for medical data analysis.
We are looking for a motivated candidate with:
We offer you
- 1,0 fte for 7,2 months
- 0,8 fte for 9 months
- 0,6 fte for 12 months