Dear Colleges, Apologies for cross-posting this with the updated application deadline. We invite applications for the following fully funded Ph.D. in Embedded AI, Robot Learning, Tactile Intelligence and Neuromorphic Computing at RoboTac, Lab ( https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.robotact.de%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C6044eafaeacc4413e0c008db7dfefc33%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638242306338241609%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=IvLbbRJZF0UHKH6KTSQGx4eij%2FEqHF50zby7MUDCQLE%3D&reserved=0), BMW AI Robotics COE, Munich, Germany. Topics of Ph.D. positions: --------------------------------- * * Topic 1: Neuromorphic computing based on oscillatory neural networks (ONNs) for multi-modal perception and Learning in robotics applications (ONN is the new generation of Neuromorphic Computing) * 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 ----------------------------------------- What awaits you? * Competitive Salary and BMW Benefits * Being part of the BMW Promotion Program with 170 Ph.D. Candidates and offering several outstanding soft-skill pieces of the training program * Opportunities to attend top International Conference in AI/ML and Robotics such as ICRA, IROS, CVPR, ICML, ... * 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) * Good teamwork and communication skills, and an independent and structured working style. * Efficient communication skills in English. German is an advantage. * Having a publication in top IEEE conferences is a BIG Plus ( such as ICRA, IROS, ICML, CVPR, NeurIPS or top journals such as T-RO, AURO, RAL, science robotics, etc.) ------------------------------------ How to Apply Required Documents * CV with photo * 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 15th, august 2023. * The top applicants will be invited for an oral presentation and interview. * Start date , as soon as possible. Cheers Mohsen --------------------------------------- Mohsen Kaboli, PhD 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 https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.robotact.de%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C6044eafaeacc4413e0c008db7dfefc33%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638242306338241609%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=IvLbbRJZF0UHKH6KTSQGx4eij%2FEqHF50zby7MUDCQLE%3D&reserved=0 Department of Research, New Technologies, Innovations AI Robotics Center of Excellence Parkring 19 85748 Munich, Germany
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