Postdoctoral Researcher in Numerical Optimization and Experimental Design
National Laboratory of the Rockies · Posted Nov 9, 2026
- Golden, Colorado, United States
- On-site
- Full-time · Mid
- $77K–$126K per year
- 0–3 years
The researcher will pursue a cross-disciplinary research project in optimization and adaptive experimental design for cross-scale scientific applications (lab-scale to pilot-scale) relevant to the DOE Office of Critical Minerals and Energy Innovation.
Compensation
Annual Salary Range: $76,600 - $126,400
Responsibilities
- Develop optimization and sampling methods that leverage predictions from models trained on cross-scale heterogeneous evidence.
- Develop sampling strategies to determine which experiments to run, measurements to collect, or operating conditions to use.
- Develop original methodologies in numerical optimization, optimal experimental design, active learning, Bayesian optimization, sequential decision-making, and information theory.
- Address adaptive sampling and surrogate-based optimization and statistical design of experiments.
- Handle challenges arising from noisy, messy, missing, or sparse data.
Requirements
- PhD
- Nice to have: self-motivated
- Nice to have: creative
- Nice to have: independent thinker
- Nice to have: open-minded
Skills
Benefits
- medical insurance
- dental insurance
- vision insurance
- short-term disability insurance
- pension benefits