Website KTH Royal Institute of Technology

Are you looking for a postdoc combining academic research in machine learning with close collaboration with the industry? Do you want to join our research group at KTH developing fundamental machine learning times series algorithms and the team at Getinge producing the next generation ventilators for the intensive care? Are you passionate about physical simulation and proficient in parameter estimation? If so, we believe you will find our project developing a digital twin of the respiratory system a perfect match.

 

This project is co-funded by Vinnova, within the program Advanced Digitalization, and Getinge. Getinge is a world leading MedTech provider with 12.000 employees worldwide. The company has a long tradition of creating innovations that save lives. Their Critical Care Product Area is based in Stockholm, Sweden, and you will interact with its Innovation team regularly during this project. The close collaboration with this multi-disciplinary team of experts is a valuable opportunity for you to create a bridge between academia and industry, in an open and collaborative way. This is also a unique chance that will open multiple future career paths for you.

To apply for this job please visit kth.varbi.com.