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Multiple fully-funded  PhD Positions, Internships, and Master Theses are available 

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We invite applications for three fully funded Ph.D. positions in the field AI, Robotics, and Machine Learning. The positions are full-time and for maximum 3.5 years. The salary is about 40K€ per year. The research, publications, and travelling cost will be covered separately by the BMW Group.

 

  • ​Topic 1:  Robust multi-modal perception and learning with performance guarantees in robotics and HMI

  • ​Topic 2: Visuo-Tactile counterfactual-based deep active learning and decision making in robotics and intelligent interactive systems 

  • Topic 3: Machine learning-based optimal charging policies to improve vehicle's battery life

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Eligibility

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  • MSc degree in Electrical Engineering, Computer Science Mathematics, Systems and Control, or a related field from only top international universities.

  • Strong theoretical or mathematical background, and a strong interest in AI,  Robotics and Machine Learning.

  • Advanced programming skills in ROS, C++ and Python are mandatory. The ideal candidate should be familiar with Issac Nvidia, and various machine learning and robotics libraries.

  • Having at least one publication in top IEEE conferences such as ICRA, IROS, ICML, CVPR, NeurIPS or top journals such as T-RO, AURO, RAL, science robotics, and etc.

  • Efficient communication skills in English.

 

How to Apply:

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Required documents

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  • CV with photo

  • One-page cover letter (clearly indicating available start date as well as relevant qualifications, experience and motivation)

  • University certificates and transcripts (both BSc and MSc degrees)

  • Contact details of up to three referees

  • List of publications

 

How to send your documents

 

  • All documents should be in English and in one single pdf saved with your first name and family name. ( Otherwise, it will be deleted)

  • Please send your application to:  info.robotac@bmw.de by 15th October 2022.

  • Top application will be invited for an oral presentation and interview.

 

For any questions regarding topic, positions, etc,..  please contact mohsen.kaboli@bmwgrop.com or mohsen.kaboli@donders.ru.nl

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