The research in our group under supervision of Prof. Elgar Fleisch is driven by the strong desire to conquer the grand challenges of our society, such as in mobility, healthcare or sustainability. For this purpose, we draw upon recent advances in applied machine learning, deep learning and statistical modeling in order to gain actionable insights. Different from a PhD in pure computer science, we tailor advanced analytics to the specific requirements of the application.

The Bosch IoT Lab is a cooperation of Robert Bosch GmbH, University of St. Gallen (HSG) and ETH Zurich. The lab is part of one of the leading Internet of Things (IoT) research networks. We are exploring the IoT in domains such as Mobility, Industry, Energy and Health, from both a technology and a business perspective. Our work aims to be rigorous – with impact in the related scientific communities – and relevant for Bosch.
Research Assistant and PhD Student - Internet of Things: Machine Learning
We offer you an interesting research agenda and the opportunity to access unique data-sets, such as CAN-Bus and video data. You will work with a highly motivated, inter-disciplinary team of young researchers in a very pleasant atmosphere. You take direct project responsibility and maintain close relationships with our partners, e.g. Bosch, renowned universities, or start-ups. Our group is always open to own proposals and suggestions. Good conditions and work environment complete this attractive package. The average duration for successfully obtaining a PhD in our team is 3 1/2 years.
You should have a strong interest in technology-based innovation and profound expertise in Applied Machine Learning. You should have a GPA (Grade Point Average) of at least 5.0 (GPA of 2.0 and better in Germany or Austria) to be eligible for a PhD at ETH Zurich. Finally, a profound knowledge of English (written and oral) is required.
We look forward to receiving your electronic application including CV and University transcripts to timo.gessmann@bosch.com or to felix.wortmann@unisg.ch. For further information please visit our website: http://www.iot-lab.ch/.