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

We invite applications for Five fully funded Ph.D. positions in Neuromorphic Commuting, AI, Robotics, and Machine Learning at  BMW AI Lab, RoboTac Team, Munich, Germany. 

The Ph.D. positions are funded partly by our new European project “ PHASTRACT project ” and partly by the BMW.



  • Topic 1:  Neuromorphic computing based on oscillatory neural networks (ONNs) for multi-modal perception and Learning in robotics applications 

  • Topic 2: Neuromorphic computing based on oscillatory neural networks (ONNs) for motion and path planning for robotic system

  • ​Topic 3: Visuo-Tactile perception and learning for non-prehensile manipulation of soft and deformable objects 

  • ​Topic 4: Visuo-Tactile cross-modal perception and learning for Intelligent Interactive Robotic Systems 

  • Topic 5: Counterfactual Perception and Learning for Intelligent Human Machine Interaction 


  • 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:

Required documents

  • 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: by 30th March 2023.

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


For any questions regarding topic, positions, etc,..  please contact or

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