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# Postdoctoral Researcher in Scientific Machine Learning and Cross-scale Predictive Modeling

- **Company:** UNIVERSITY OF OKLAHOMA
- **Location:** Golden, CO, United States (Remote available)
- **Salary:** $77,000 - $126,000
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Collaborative Software, Python (Programming Language), Transfer Learning, Software Version Control
- **Published:** November 10, 2026
- **Apply:** https://www.builtincolorado.com/job/postdoctoral-researcher-scientific-machine-learning-and-cross-scale-predictive-modeling/12149439?handler=ApplyRedirect

## About the Role

Basic QualificationsMust be a recent PhD graduate within the last three years.

 * Must meet educational requirements prior to employment start date., * Demonstrated experience developing ML models for scientific or engineering systems
 * Demonstrated experience in learning from one set of conditions or domains and predicting in another, including situations where the source and target distributions differ.
 * Demonstrated experience in combining data with different modalities, sampling rates, resolutions, fidelities, measurement characteristics, costs, accuracies, or experimental conditions.
 * Demonstrated experience in physics-informed and hybrid modeling, showing the ability to incorporate mechanistic models, physical constraints, or known relationships when useful, without assuming that complete physics models are available.
 * Demonstrated experience in model representation and adaptation, how to represent changes in system context, operating conditions, geometry, or scale so that the model can distinguish what is transferable from what is not.
 * Excellent communication skills
 * Demonstrated experience working in multi-disciplinary teams and collaborative software development
 * Demonstrated experience with python and version control, The anticipated closing window for application submission is up to 30 days and may be extended as needed.

## Description

The Artificial Learning and Intelligent Systems group in NLR's Computational Science Center has an immediate opening for a Postdoctoral Researcher to pursue a cross-disciplinary research project in cross-scale learning from heterogeneous evidence (lab-scale to pilot-scale) relevant to the DOE Office of Critical Minerals and Energy Innovation..