Idaho National Laboratory is looking to strengthen the resilience and security of critical power grid infrastructure by leveraging advanced artificial intelligence and machine learning techniques to analyze cyber threats, understand attack methodologies, and assess vulnerabilities within electrical grid systems.
Requirements
- Experience in data science, data analysis, and software development using Python, C-Sharp, Java, or C++.
Responsibilities
- Develop and implement advanced statistical models and machine learning algorithms to support research initiatives.
- Collaborate with multidisciplinary teams to design and execute experiments, analyze complex datasets, and interpret results.
- Apply advanced technologies such as Explainable AI/ML, physics-informed machine learning, and LLMs to assess grid vulnerabilities, model system resilience, and support cyber-informed engineering analysis for electrical infrastructure.
- Support cyber-informed engineering initiatives by developing AI/ML models to evaluate grid resilience under various operating conditions, including assessment of potential failure modes and development of cyber-conservative operational recommendations.
- Contribute to the development of new methodologies and tools for data analysis and visualization.
- Develop and maintain notebooks, software, and/or applications.
- Work with software and database developers to develop, test, and deploy software code to development, staging and production environments.
Other
- A Current/Active DOE or equivalent "Q" clearance is required.
- Proven track record of conducting high-quality research
- Excellent problem-solving skills and the ability to work independently as well as part of a team.
- Strong communication skills, with the ability to convey complex technical concepts to a diverse audience.
- Experience with power grid infrastructure, electrical systems, or energy sector applications.
