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-of-the-art methods (e.g., AI foundation models), as well as on model evaluation compared to traditional approaches (e.g., Convolutional Neural Networks). The candidate will collaborate closely with faculty and
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, which is commensurate with the level of experience of the successful candidate. Responsibilities/activities to be involved in: Perform thorough literature review of the current trends and advancements in
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organizations towards achieving this goal. This position offers a unique opportunity for exciting R&D using state-of-the-art HPC, applied data science methods, big data analytics and data management systems and
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the potential for renewal and opportunities for advancement based on performance and the availability of funding. Candidates will find exceptional development opportunities, including access to state-of-the-art