Multiple fully-funded PhD Positions, Internships, and Master Theses are available
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.
Topics
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
Eligibility
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: info.robotac@bmw.de by 30th November 2024
Top application will be invited for an oral presentation and interview.
For any questions regarding topic, positions, etc,.. please contact mohsen.kaboli@bmwgroup.com or mohsen.kaboli@donders.ru.nl