Dear Colleagues,
We invite applications for three fully funded Ph.D. positions and several fully funded Master Thesis or Internship ( 6-12 months) in AI, Robotics, and Machine Learning at BMW AI Robotics Lab, RoboTac Team, Munich, Germany. Topics of Ph.D. positions: --------------------------------- * Topic 1: Robust multi-modal perception and learning with performance guarantees in robotics and Human Vehicle Interaction (f/m/d) * Topic 2: Deep Active Cross-Modal Perception and Learning for Intelligent Interactive Systems (f/m/d) * Topic 3: Visuo-Tactile counterfactual-based deep active learning and decision-making for Cognitive Vehicles (f/m/d) Topics of Master Thesis/Internship positions: * Topic 1: AI Hardware/Embedded AI/ML Systems Engineer for Human-Machine Interaction (f/m/d) * Topic 2: Machine Learning and Control Engineer for Human-Machine Interaction (f/m/d) * Topic 3: Intern in the area of Software engineering for Intelligent In-Vehicle User Interaction (f/m/d) ----------------------------------------- What awaits you? * Competitive Salary, 50k € per year for PhD and 25k-30k € 12 months Master thesis/Internship * Being part of the BMW Promotion Program with 170 Ph.D. Candidates and offering several outstanding soft-skill pieces of the training program * 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) * Having 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. ------------------------------------ How to Apply for Ph.D. position: 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 Apply for Internship and Master thesis positions: Required documents * CV with photo * University certificates and transcripts --------------------------------- 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, December 2022. * The top applicants will be invited for an oral presentation and interview. * Potential Date of Start 1st of March 2023 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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