Dear Colleagues,
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 of Ph.D. positions: * Topic 1: Visuo-Tactile robust perception and learning in Robotic application (f/m/d) * Topic 2: Visuo-Tactile cross-modal perception and learning for Intelligent Interactive Robotic Systems (f/m/d) * Topic 3: Counterfactual Perception and Learning for Intelligent Human Machine Interaction (f/m/d) * Topic 4: Neuromorphic computing based on oscillatory neural networks (ONNs) for multi-modal perception and Learning in robotics applications. * Topic 5: Neuromorphic computing based on oscillatory neural networks (ONNs) for motion and path planning for robotic system * ----------------------------------------- What awaits you? * Competitive Salary, Travel Grants * Opportunity to attend top International Conference in AI/ML and Robotics such as ICRA, IROS, CVPR, ICML, ... (With business class traveling conditions) * Collaborating with a highly specialized international team of AI/ ML and robotics scientists and engineers. * The work will be carried out at a BMW AI Robotics Lab, RoboTac Team, Munich, Germany. * The RoboTac Lab is equipped with cutting-edge hardware, robotics systems, intelligent vehicle, computational devices, software, etc. --------------------------------------------- Eligibility * Master's degree obtained from the top international universities in Electrical Engineering, Computer Science Mathematics, Systems, and Control, or a related field. * Strong mathematical background and a strong interest in AI, robotics and robot learning, Transfer Learning, machine learning, Deep Active Learning, Multi-modal Active Perception and Learning, AI-based Control Architecture, and Human-Machine Interaction. * Extensive practical software development experience, preferably in C/C++ and Python required. * Experience with deep learning frameworks (e.g., PyTorch, Tensorflow) * It is plus to have a publication in top IEEE conferences such as ICRA, IROS, ICML, CVPR, NeurIPS or top journals such as T-RO, AURO, RAL, science robotics, etc. (Only for Ph.D. Candidates) * Good teamwork and communication skills, and an independent and structured working style. * Efficient communication skills in English. German is an advantage. ------------------------------------ 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 one single pdf saved with your first name and family name. ( Otherwise, it will be deleted) * Please send your application to: info.robo...@bmw.de<mailto:info.robo...@bmw.de> by 30th March 2023. * The top applicants will be invited for an oral presentation and interview. Regards Mohsen Dr.-Ing. Mohsen Kaboli Asst. Professor of AI and Robotics Head of the BMW AI Robotics Lab and RoboTac Team Director of the AI Robotic and Tactile Intelligence Group at Donders Institute for Brain and Cognition, Radboud University Department of Research, New Technologies, Innovations AI Robotics Center of Excellence Parkring 19 85748 Munich, Germany
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