As an automotive supplier, DENSO is leading in developing and providing components and systems for heating, air conditioning, motor cooling, exhaust gas aftertreatment, automotive electrics and electronics and instrumentation.
The focus of this position is on distributed AI for mobility use cases, such as object detection or movement prediction. Distributed AI means that data is held locally, which leads to privacy aware AI. Recent progress in federated learning has shown that distributed AI can be highly competitive and furthermore enables local customization or personalization.
The main goal of this research position is to design, apply and validate distributed AI algorithms on vehicle data and contribute to leading-edge research.
The main objectives are:
This Ph.D. position is limited in time and supports the enrollment in the doctoral program of the Technical University of Munich. When applying for this position please submit your university transcripts together with your CV.
We are looking for a driven person with the desire to do high-quality research.
Minimum requirements:
Attractive remuneration: 13 monthly salaries, Givve card topped up with €50 each month and optional allowances
Work-Life balance: 30 days of vacation and a flextime model for flexible working hours
Home office: Possibility to work from home
Development: Wide range of trainings and education opportunities
Employee benefits: Attractive leasing offers, additional private health insurance, free employee advice assistance hotline and much more
Health: Yearly health & wellbeing days, Urban Sports Club membership
Attractive working environment: Modern offices, canteen onsite and free parking
International company: Career opportunities in a global environment
Open company culture: Diverse, multicultural team
Events: Regular company & team events