Jobs at National Laboratory of the Rockies

Curate marine and hydrokinetic datasets by reviewing metadata for completeness, accuracy, consistency, and repository compliance. Apply data standards, identify submission gaps, organize disparate data, and collaborate with researchers to resolve issues. Support energy research through data management, analysis, literature review, and documentation. The role requires independent judgment, attention to detail, and practical solutions for complex data organization challenges.

Conducts connected-vehicle V2X communications research by cleaning and analyzing field-test logs, calibrating LTE-V2X simulation models, and developing machine-learning surrogate models. The intern will write documented Python code, run workflows on high-performance computing systems, validate model accuracy and efficiency, and contribute to technical reports, presentations, and publications while collaborating with multidisciplinary research teams.

Conduct research applying machine learning, explainable AI, uncertainty quantification, and model safety to cybersecurity for power-grid substations and critical energy infrastructure. Analyze cyber-physical datasets, develop explainability and confidence methods, evaluate model robustness, design operator-facing visualizations and alerts, and collaborate with cybersecurity and AI teams to document findings and deployment guidelines.

Coordinates research, laboratory fit-out, operations, safety, maintenance, construction, and project activities within assigned EMAPS facility areas. Supports researchers and external partners, manages work authorization and change processes, tracks operational status, coordinates resources and outages, contributes to emergency response, and promotes safety culture. The role requires oversight of complex research equipment, pilot-scale operations, hazardous materials, and cross-functional laboratory activities.

Conduct research combining machine learning, computer vision, geospatial imagery, and photovoltaic performance data. Develop and validate image-based change-detection algorithms for utility-scale PV systems, process large heterogeneous datasets, assess accuracy and uncertainty, build scalable reproducible software workflows, and publish findings. Collaborate across PV reliability, geospatial analysis, energy systems, materials, recycling, and circularity research teams.

Supports cybersecurity research for 5G and emerging 6G networks by developing RIC rApps, xApps, dApps, NWDAF analytics, AI/ML models, and closed-loop automation. Builds cloud-native microservices with containers and Kubernetes, integrates O-RAN and 3GPP interfaces, analyzes streaming network data, and collaborates on software testing, validation, documentation, and technical research related to secure, resilient energy systems.

Install, configure, and support storage hardware, software, and services for high-performance computing and data-intensive research. Design secure, scalable, high-throughput storage infrastructure using object, block, distributed file, and cloud storage. Diagnose technical issues, develop hardware configurations, collaborate with researchers and cross-functional teams, and evaluate emerging storage technologies. The role also requires Linux systems engineering, NAS, backup software, scripting, and infrastructure automation expertise.

Manage and oversee the laboratory’s Controlled Unclassified Information program while supporting classified information protection and OPSEC initiatives. Responsibilities include maintaining policy expertise, conducting audits and risk reviews, developing training, reviewing document markings, investigating security incidents, coordinating misuse determinations, and advising stakeholders on information protection requirements. The role requires collaboration with Legal, IT, program managers, DOE, and laboratory leadership, along with maintaining procedures and promoting compliance with federal security policies.

Supports geospatial energy modeling and analysis through data preparation, processing, validation, cartography, literature reviews, and scientific programming. Uses Python and geospatial libraries to analyze and visualize data, develops analytical solutions for energy deployment and siting, and works with open-source geospatial tools, distributed computing environments, HPC systems, and cloud platforms.

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.

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.

Postdoctoral researcher will develop statistical and machine learning methods (combining statistics and deep learning) and software to model, fuse, and analyze large scientific datasets, characterize disruptive events impacting infrastructure, quantify uncertainty, design algorithms, and publish and present results.

Design, develop, and test AI/ML and optimization software for energy research on HPC systems. Build and evaluate models (deep learning, probabilistic methods, large-scale inference), productionize solutions, collaborate with researchers, mentor juniors, author technical publications, and support multiple projects across the research-to-implementation stack.

Administers and develops Oracle EPM Cloud and Hyperion financial planning systems. Responsibilities include managing security and user access, maintaining nightly and close processes, troubleshooting integrations, developing enhancements with Groovy and EPM Automate, coordinating patching and regression testing, writing technical specifications and test plans, supporting data governance, analyzing issues, and creating stakeholder training materials. The role collaborates with IT and business teams to deliver reliable, scalable financial systems.