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Field
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efforts. We are looking for a Research Associate/Research Fellow to design and deliver Module D of the NParks MCCS project: the agent-based modelling (ABM) and simulation work that forecasts long-term
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for finance. Deploying the agentic economic world models and the transformer architecture for AI-driven financial econometric tasks such as covariance matrix estimation and time-series forecasting
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. Develop capacity-estimation, demand-forecasting, performance-benchmarking, and what-if assessment methods to support planning and operational decision-making. Investigate the operational, environmental
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synthesis of timed and probabilistic behavioral models for model checking, performance evaluation, and optimization. The overall objective is to establish formal foundations that bridge static engineering
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on the development and evaluation of snowpack and hydrologic models used for avalanche hazard assessment. Applied research that informs avalanche forecasting centers, land managers, and community stakeholders. You
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probabilistic frameworks. Helping develop standards, benchmark scenarios, and performance metrics for human-robot interaction (HRI), autonomous systems, and cooperative robotics integrated into complex
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to artificial-intelligence-driven monitoring systems to forecast and manage stored product insect populations and insecticide resistance. Home to Kansas State University and The Flint Hills, Manhattan, KS
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Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field observations—including
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directly support nowcasting (for enhanced situational awareness), forecasting (to assess plausible outcomes in a business-as-usual scenario), the evaluation of control measures, and formal cost-effectiveness
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qualifications: Experience with data assimilation, probabilistic machine learning, Bayesian inference, inverse modeling, and/or simulation-based inference is an advantage. Experience with land-surface models