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Position: Doctoral students in Computer Vision/Deep Learning for Autonomous Driving
Institution: Halmstad University
Location: Halmstad, Halland County, Sweden
Duties: Developing a novel generative deep neural network model to detect, identify, and filter out noisy Camera, LiDAR, and RADAR readings affected by rain, fog, snow, and slush; Developing a novel adaptive sensor fusion algorithm based on optimum cost-effective sensor combinations to handle possible sensor failures in a multi sensor setup
Requirements: The ideal candidate has a Master’s degree in computer science, machine learning, robotics, mathematics, or a related engineering discipline. A strong background in computer vision, machine learning, artificial intelligence, data mining, or signal processing is desirable. Excellent programming skills, analytical problem solving and organizational abilities are required. Prior practical experience in deep learning is a plus
   
Text: Doctoral students in Computer Vision/Deep Learning for Autonomous Driving Developing a novel generative deep neural network model to detect, identify, and filter out noisy Camera, LiDAR, and RADAR readings affected by rain, fog, snow, and slush; Developing a novel adaptive sensor fusion algorithm based on optimum cost-effective sensor combinations to handle possible sensor failures in a multi sensor setup The ideal candidate has a Master’s degree in computer science, machine learning, robotics, mathematics, or a related engineering discipline. A strong background in computer vision, machine learning, artificial intelligence, data mining, or signal processing is desirable. Excellent programming skills, analytical problem solving and organizational abilities are required. Prior practical experience in deep learning is a plus
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