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operational strategy? Do you have a passion for overseeing advanced computing services and ensuring best-in-class system integrity, security, and reliability? If so, consider joining our team! HBS IT seeks a
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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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economics and seeking hands-on research experience before graduate school. Research Areas • Tariffs and trade policy • Stablecoins and digital currencies • Optimal policy design in open economies • Broader
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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/Area Computer Science Position Description Accepting applications for postdoctoral position in Reinforcement Learning, Probabilistic Methods, and/or Interpretability. Information on the lab can be found
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and inspire prospective applicants Analyze prospect pool data, engagement trends, and funnel conversion to inform strategy and optimize outreach efforts Identify emerging opportunities (industries
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, Informed Consent, Study Surveys). Focus on developing and optimizing digital pipelines for large-scale online enrollment and retention efforts, including building out the cohort over time. Research Database
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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, contributing to cost-effective program management. Inform, monitor, and participate in marketing and admissions processes for assigned programs to develop optimal cohorts, identify growth opportunities, and