Postdoctoral Researcher in Uncertainty Quantification

Job Summary

Seeking a full-time Postdoctoral Researcher in Uncertainty Quantification, the successful candidate will conduct original methods research to develop techniques for quantifying uncertainty in prediction models and evaluating prediction reliability across various scales, working onsite in Golden, CO.

Key responsibilities

• Develop methods to quantify uncertainty in cross-scale prediction models
• Identify conditions under which model predictions are unreliable
• Conduct original research addressing challenges related to uncertainty arising from sparse data and model discrepancies

Required qualifications

• Recent PhD graduate within the last three years
• Experience with statistical modeling, including Bayesian methods and uncertainty propagation
• Understanding of uncertainty quantification, including aleatoric and epistemic uncertainty
• Familiarity with distribution shifts and out-of-distribution detection methods
• Experience with programming languages such as Python, Julia, or R