Ph.D. Student (m/f/d) on distributed AI (with Technical University of Munich)

DENSO CORPORATION
Eching
EUR 40.000 - 60.000
Jobbeschreibung

Ph.D. Student (m/f/d) on distributed AI (with Technical University of Munich)

  • Full-time

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:

  • Conduct research that is related to vehicle data analysis using latest distributed AI technology
  • Contribute to the project with demonstrators and evaluation in collaboration with the project partners
  • Discuss results with DENSO-internal R&D teams to collect feedback and help applying project results in product development and related research

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:

  • Master’s degree or equivalent in one of the following fields: computer science, artificial intelligence, machine learning, electrical engineering, mathematics, statistics, data science or physics
  • Strong analytical and problem-solving skills
  • Excellent programming skills and solid mathematical background
  • Experience in AI including neuronal networks and other techniques
  • Excellent written and verbal communication skills in English
  • Participate in academic conferences and publish research results in peer-reviewed conferences and journals

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

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