Research Associate in Computer Vision for Autonomous Systems | Luxembourg City, Luxembourg | University of Luxembourg

Position:	Research Associate in Computer Vision for Autonomous Systems
Institution:	University of Luxembourg
Location:	Luxembourg City, Luxembourg
Duties:	Propose and develop models and algorithms (Computer Vision, Machine Learning, Robotics, etc.) to meet the projects demands; Providing support in setting up and running experiments in the SnT Computer Vision and Zero-G laboratories; Work closely with project’s stakeholders and industrial partners; Proposing and implementing real-time solutions; Participating in proposal writing; Coordinating research projects and delivering outputs; Disseminating results through scientific publications
Requirements:	PhD Degree in Computer Science, or related technical field with the desirable experience in Computer Vision, Machine Learning or Robotics; Competitive research record in Computer Vision/Robotics, preferably with publications at CV/ML/Robotics conferences/journals (e.g., ICRA, RSS, WACV, ECCV, IROS, etc.); Strong mathematical background; Strong development skills in Python/C++/Matlab; Strong knowledge and experience with modern machine learning frameworks (PyTorch/Tensorflow); Good Knowledge of Robotics. Practical experience in robotics, including ROS and related software components; Experience with 3D simulation tools or game engines such as Unreal, Blender, etc. would be an added advantage

Text:	Research Associate in Computer Vision for Autonomous Systems Propose and develop models and algorithms (Computer Vision, Machine Learning, Robotics, etc.) to meet the projects demands; Providing support in setting up and running experiments in the SnT Computer Vision and Zero-G laboratories; Work closely with project’s stakeholders and industrial partners; Proposing and implementing real-time solutions; Participating in proposal writing; Coordinating research projects and delivering outputs; Disseminating results through scientific publications PhD Degree in Computer Science, or related technical field with the desirable experience in Computer Vision, Machine Learning or Robotics; Competitive research record in Computer Vision/Robotics, preferably with publications at CV/ML/Robotics conferences/journals (e.g., ICRA, RSS, WACV, ECCV, IROS, etc.); Strong mathematical background; Strong development skills in Python/C++/Matlab; Strong knowledge and experience with modern machine learning frameworks (PyTorch/Tensorflow); Good Knowledge of Robotics. Practical experience in robotics, including ROS and related software components; Experience with 3D simulation tools or game engines such as Unreal, Blender, etc. would be an added advantage