Maintain a broad understanding of competitive technologies in: Stereoscopic 3D Video Compression Machine Learning Analyze the system context in which new technologies will be deployed and identify the requirements necessary for successful integration. Develop early-stage conceptual models to demonstrate technical feasibility. Design and present innovative algorithms and implementations through various channels, including: Ph.D. degree in electrical engineering, computer engineering, or computer science, or related engineering disciplines required. Experience in developing algorithms for video coding and/or machine learning systems. Experience in developing algorithms for 3D graphics video compression or learning-based 3D visual computing is a plus. Solid research background in video or image coding and processing. In-depth knowledge in development, training, testing, and computing platforms for deep learning (DL) and statistical machine learning (ML). Solid programming experience in python/C/C++ applied to image/video coding/processing and experience with one or more deep learning frameworks (e.g., PyTorch and TensorFlow) is required. Track record of successful research accomplishments, published papers in top-tier conferences (DCC, ICIP, ICASSP, CVPR, ICCV, ECCV, etc.) or journals (TCSVT, TIP, TPAMI, etc.) and/or patent applications in the field of video coding and processing. You balance strong collaboration skills with the ability to work independently
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