•; Highly motivated and “technologically passionate”, hard worker and quick learner, adept of hands-on approach
• Good interpersonal skills, team player with good ability to work independently and take responsibility, good references.
Education & Knowledge
• Required
• Academic degree in quantitative field (Applied Math, Computer Science, Engineering, Aeronautics ,Physics, Statistics, etc.)
• Graduate of a leading university (Technion, TAU,BGU,BIU,HUJI)
• Advantages
• Knowledge of statistical data analysis methods and/or statistical signal processing, estimation theory, data and sensors fusion
• Advanced degree
• At least 3 years of work experience, preferably in a startup environment, focusing on algorithm R&D, applying models, and data analysis
• Extensive experience with Python scientific stack, Jupyter notebook and Git
• Experience in the full developmental cycle of algorithm implementation (from research and analysis through intensive debugging and testing to official product release)
• Previous experience in fields of navigation and/or robotics including SLAM and its building blocks (feature extraction,pose estimation,tracking,3D reconstruction,sensor fusion)
• Background and understanding of classical machine learning and statistical data analysis methods.
• Advantages :
• Experience with IMU related algorithms (calibration,noise reduction, velocity and position estimation)
• Knowledge in statistical signal processing, estimation theory, statistics.
* משרה זו פונה לנשים וגברים כאחד.