Postdoctoral Researcher, Scientific Machine Learning and Cross-Scale Predictive Modeling

Job overview

The Postdoctoral Researcher, Scientific Machine Learning and Cross-Scale Predictive Modeling role is onsite in Golden, CO, for 40 hours per week. Compensation is $76,600–$126,400 per year. The role is in the Artificial Learning and Intelligent Systems group within the Computational Science Center, supporting research relevant to the DOE Office of Critical Minerals and Energy Innovation. The researcher develops learning methods that combine heterogeneous evidence across experimental scales and conditions to predict behavior at scales where data may be sparse or unavailable. The work advances scientific and engineering modeling by addressing differences in data sources, modalities, and physical contexts.

What you'll do

• Develop methods for learning from heterogeneous evidence across experimental scales
• build models that predict at unseen physical or operational scales
• research multimodal and surrogate modeling, transfer learning, physics-informed machine learning, and statistical learning
• incorporate mechanistic models, physical constraints, and known relationships where useful
• use Python and version control in collaborative research.

What we're looking for

Skills & competencies

postdoctoral researcher

scientific machine learning

cross-scale modeling

transfer learning

physics-informed ml

surrogate modeling

python

energy research

golden co

national laboratory of the rockies

$76,600-$126,400/year

Work arrangement

• Weekend coverage required

Benefits & perks

• Medical, dental, and vision insurance
• disability insurance
• pension benefits
• 403(b) plan with employer match
• life and AD&D insurance
• paid time off, sick leave, and holidays.

Why this role

Fixed-term postdoctoral appointment requiring a recent PhD graduate within the last three years.

About the employer

National Laboratory of the Rockies is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.