Professor Henrik Sandberg and I for KTH University in Stockholm, Sweden are looking for two passionate postdocs with expertise in control systems, mathematics, and machine learning.
Join us in a novel project focused on creating advanced mathematical and computational tools for robust and adaptable predictive maintenance algorithms with a particular emphasis on pump stations. You will collaborate with industry leader Xylem and Stockholm Vatten och Avfall, gaining access to real-world data and pumps. This is an opportunity to develop theoretical tools addressing a concrete issue for a more sustainable future.
The Division of Decision and Control Systems conducts fundamental research in learning for control and system identification among others. Industrial projects involve partners such as ABB, Ericsson, and Scania. A major part of the research is conducted in EU-projects in collaboration with European industry and universities. We have a large academic network and collaborate with researchers at Caltech, MIT, UC Berkeley, Stanford, among others.
You can have a look at the offer: https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:666031/type:job/where:4/apply:1
I hope to hear from you soon!
Best,
Matthieu Barreau
