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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.

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.

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 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.

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.

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.

Conduct ML/AI research for power system operations, develop LLM/NLP-based solutions, collaborate with stakeholders, contribute to research papers, and work independently on projects.