7 parallel-computing-"Computer-Vision-Center" PhD positions at Susquehanna International Group
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on model development, robustness, and long-term reliability. You’ll have access to Susquehanna’s extensive proprietary datasets and large-scale computing infrastructure—including a rapidly growing
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through rigorous empirical analysis. Susquehanna’s extensive proprietary datasets and large-scale computing infrastructure—including a rapidly growing cluster of thousands of high-end GPUs—support
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of their time close to live markets. You’ll have access to Susquehanna’s extensive proprietary datasets and large-scale computing infrastructure—including a rapidly growing cluster of thousands of
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, develop quantitative models, and evaluate ideas through rigorous empirical analysis and backtesting. Susquehanna’s extensive proprietary datasets and large-scale computing infrastructure—including a
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. Susquehanna's proprietary datasets and computing infrastructure - including a rapidly growing cluster of thousands of high-end GPUs - support computationally intensive training, simulation, and rapid
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looking for * PhD in computer science, machine learning, mathematics, physics, statistics, or a related field * Strong track record of applying ML in academic or industry settings, with 5+ years of
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opportunity is for those who have completed at least two full years of a PhD program in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Machine