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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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creating original computer-generated imagery to explore how lighting and rendering shape the emotional ambience of a scene. This learning forms the foundation for further studies in Visual Effects and 3D
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the end-to-end discovery process, including data preparation, statistical analysis, and methods for extracting meaningful insights from large datasets. Core machine learning techniques such as decision tree
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, robotics, and machine learning. Successful candidates will receive a four-year grant towards obtaining a PhD in mathematics. Some candidates may need to provide GRE scores and/or proof of proficiency in