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

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..

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.

Annual Salary Range (based on full-time 40 hours per week)Job Profile: Postdoctoral Researcher / Annual Salary Range: $76,600 - $126,400

NLR takes into consideration a candidate’s education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee’s salary history will not be used in compensation decisions. Benefits SummaryBenefits include medical, dental, and vision insurance; short-term disability insurance; pension benefits; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; and paid holidays. NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement.

Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation’s primary laboratory for energy systems research and development.

Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.

At NLR, you’ll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being., E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.