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research and develop a model, turn it into a trading strategy, and run that strategy against high-fidelity historical market data. Each day, you’ll receive measurable feedback on its performance
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with C++, scientific computing, or high-performance computing is a plus * Excellent problem-solving skills and an interest in using quantitative models to understand complex systems * Strong
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computing, or high-performance computing is a plus * Excellent problem-solving skills and an interest in using quantitative models to understand complex systems * Strong communication skills and an
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developing research code in Python and working with large datasets; experience with C++, scientific computing, or high-performance computing is a plus * Excellent problem-solving skills and an interest
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passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models. What you'll do * Research and develop deep learning
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calculations will be performed using ETH Zurich’s high-performance computing infrastructure. In addition to research, the doctoral candidate will contribute to general laboratory activities and will have
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to high-performance workstations and GPU resources for training large-scale models. Mentorship from experts in both atmospheric modeling, meteorology and machine learning. Access to a collaborative
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and high-performance computing is driving heat fluxes in advanced chip packages beyond 1,000 W/cm², making thermal management one of the key bottlenecks for future electronics. This PhD project aims to
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projects and working with transportation agencies (city DOTs, state DOTs) or private vendors. · Familiarity with reproducible research practices, CI/CD for ML, and cloud computing (AWS/GCP
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medicine, and defense and security — all built on a foundation of fundamental research. For over 75 years, CEA has been committed to supporting the scientific, technological, and industrial sovereignty of