Summary
Jonathan Fürst is a Senior Lecturer and Associate Professor with 12 years of experience at the intersection of IoT systems and machine learning, focused on automating data enrichment and weakly-supervised prediction for cities, buildings, retail, energy and industrial domains. He combines hands-on systems engineering—from embedded and mobile platforms to cloud and edge backends—with research-led innovation in lowering the labeling bottleneck for ML, currently developing weakly-supervised techniques for heterogeneous, siloed IoT data. Proficient in Go, Python and Java and experienced with C-family languages, he has led EU-funded projects, mentored researchers, and driven industry collaborations that turned academic ideas into public-sector and commercial deployments. Based in the Zürich metro area, he blends rigorous PhD-level research with practical delivery, and quietly bridges academia and industry through project management, grant writing and cross-institutional partnerships.
12 years of coding experience
7 years of employment as a software developer
Exchange Student, Exchange Student at Jönköping University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at IT-Universitetet i København
BEng, Industrial Engineering, 1.7, BEng, Industrial Engineering, 1.7 at HTW Aalen
German, English, French, Danish, Spanish