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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
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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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postdoctoral experience in computer science, economics, electrical engineering, mathematics, operations research, physics, statistics, or another highly quantitative discipline * A strong foundation in
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machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making What we're looking for * Currently pursuing a PhD in Computer Science
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decisions under uncertainty. You may be a strong fit if you have: * A PhD, graduating by Summer 2027, or postdoctoral experience in computer science, economics, electrical engineering, mathematics
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your penultimate or final year as of summer 2027, or currently a postdoctoral researcher, in computer science, economics, electrical engineering, mathematics, operations research, physics, statistics
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2027, or currently a postdoctoral researcher, in computer science, economics, electrical engineering, mathematics, operations research, physics, statistics, or another highly quantitative discipline