Jobs at National Laboratory of the Rockies

Perform fabrication and testing of electrodes and electrochemical conversion devices (CO2 electrolyzers), design experiments, run in-situ electrochemical characterization (EIS, limiting current), interpret performance and durability, scale devices from 5–25 cm2 to 400 cm2, and support technoeconomic assessments to establish key metrics.

Conduct power systems modeling and analysis for long-term energy planning, focusing on demand forecasting, load profiles, equipment stock turnover, and technology adoption. Develop and implement capacity-expansion models, manage large datasets and data architectures, run scenario analyses, perform quality control, collaborate across teams, publish results, and support proposal development and stakeholder communications.

Develop and build a combined float-zone and silane chemical vapor deposition system to grow single-crystal silicon boules; collaborate with CFD and technoeconomic teams to design and optimize the system; perform extensive materials characterization for purity and defects; present results to team and sponsors and publish findings; support lab safety and cross-team collaboration.

Conduct ML/AI research applying LLMs and agentic AI to power system operations. Develop algorithms and software on HPC/Linux, collaborate with PIs and power systems researchers, and lead project-level research with limited supervision. Apply GNNs, reinforcement learning, and neural network techniques to complex power system problems and publish findings.

Support operation and advancement of autonomous laser-integrated PFIB instrumentation. Perform instrument maintenance, Python-based scripting, and develop computer vision/semantic segmentation pipelines. Assist with sample preparation, data collection, technical reporting, and exploration of foundation models/LLMs for instrument interfacing and AI-guided decision-making in a multidisciplinary research environment.

Engineer, deploy, and maintain Linux-based infrastructure supporting HPC, research computing, and on-prem cloud. Manage servers, containers, security patching, automation, and troubleshooting; collaborate with researchers to translate needs into scalable, secure solutions and evaluate new technologies to improve performance and reliability.

Postdoctoral researcher to develop power system modeling, optimization, and data-driven control strategies (ADMS/DERMS/microgrids) to improve grid reliability and resilience. Collaborate on multiple projects, publish research, and work on-site at NLR Golden, CO.

Conduct and lead adversarial cybersecurity research for energy systems: design and run threat emulation and cyber-range experiments, develop simulation and modeling tools, analyze IT/OT vulnerabilities, integrate results into resilience and risk models, publish findings, mentor junior staff, and support adversarial research infrastructure.

Support development of a digital twin for biorefinery processes by building process models, integrating sensor and historical data, creating simulation tools and dashboards, validating models with pilot-scale data, documenting workflows, and contributing to publications and presentations.

Conduct fundamental and applied research to design, characterize, and evaluate heterogeneous catalysts for converting biomass and waste plastics to value-added products. Use spectroscopic and analytical techniques, continuous flow reactors, and mass-transfer understanding. Plan and execute experiments, troubleshoot, collaborate across disciplines, and publish peer-reviewed results while following strict safety procedures.

Conduct research on mathematical optimization for energy systems, develop and implement scalable optimization and AI/RL algorithms, integrate optimization with simulations and parallel computing, collaborate with domain experts, author publications, and contribute to proposals to advance energy system decision-making.

Support development of software and data infrastructure for autonomous thin-film semiconductor experimentation. Develop Python-based instrument control and lab automation, implement APIs and messaging for distributed instruments, enable real-time data exchange and provenance, assist integration/testing/deployment, and build monitoring, logging, and visualization tools while collaborating with multidisciplinary teams.

Assist the III-V semiconductor team with large-area device processing and characterization. Perform cleanroom fabrication (lithography, metal deposition, chemical etching) and use techniques like X-ray diffraction, electron microscopy, IV and optical probing to evaluate material and device quality and support DOE research goals.

Graduate intern will research uncertainty quantification and hallucination detection for multi-turn LLM-based scientific assistants, develop probing methods for internal representations, build evaluation pipelines on HPC/multi-GPU systems, run experiments across scientific domains, and produce research code, documentation, and publications.

Conduct lab-scale research to develop and scale separations for recovery of bio-based carboxylic acids using adsorption resins, electrochemical pH-swing ISPR, and other methods. Plan and execute experiments, troubleshoot processes, document and publish results, and collaborate within a multidisciplinary team while following safety protocols and SOPs.

Perform research to develop novel PEM electrolysis electrodes: synthesize electrodes, characterize physical and electrochemical properties, test PEM electrolyzers, analyze morphology-performance-durability relationships, and contribute to device development and reporting/publications in collaboration with multidisciplinary teams.

Implement and harden security controls across heterogeneous environments (AWS, HPC, OpenStack). Script and automate security tasks (Bash, Python), monitor vulnerabilities, analyze logs via SIEM, coordinate remediation, produce security artifacts and reporting, and partner with NLR Cyber Security, HPC, and Cloud teams to meet DOE cybersecurity requirements.

Remote student intern to support community-scale air quality monitoring research and education: literature review, review of existing programs, sensor network integration planning, environmental data collection, analysis, visualization, and development of community science and educational materials.

Remote internship supporting research and education on carbon management, bio-based products, industrial and large energy-load systems. Tasks include literature reviews, data collection, spreadsheet analysis, performance comparisons, and developing student-facing curriculum, presentations, and technical summaries for researchers and partners.

Lead the Scalable Algorithms, Modeling, and Simulation group: set strategic vision, manage multidisciplinary staff and budgets, recruit talent, secure funding, and provide technical leadership in scalable CFD, multiphysics simulation, solvers, meshing, HPC, and AI/ML-enabled computational science. Foster collaboration, deliver research and deployed capabilities, and ensure programmatic execution aligned with NLR mission.