Idaho National Laboratory is hiring a Grid Security AI Researcher to work on our Critical Infrastructure Security and Resilience (CISR) team. Our team works a 9x80 schedule located out of our Research Education Campus (REC) in Idaho Falls, ID with every other Friday off. In this role you will leverage advanced artificial intelligence and machine learning techniques to strengthen the resilience and security of critical power grid infrastructure. You will develop and deploy AI-driven solutions to analyze cyber threats, understand attack methodologies, and assess vulnerabilities within electrical grid systems. Working at the intersection of cybersecurity analysis, grid operations, and machine learning research, you will create novel approaches to safeguard the nation's energy infrastructure. Collaborate with a multi-disciplinary team of power systems engineers, cybersecurity experts, and data scientists to advance the state-of-the-art in grid security research. You will contribute to cyber-informed engineering research that integrates security and resilience considerations into grid system design and operations. Responsibilities Include: - 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. - Publish research findings in peer-reviewed journals and present at scientific conferences. - Work with a multi-disciplinary team of scientists and engineers on challenging work scope. - Stay current with the latest advancements in data science, machine learning, and relevant research domains. - Mentor and guide junior researchers and interns in data science methodologies and best practices. - Demonstrate effective research skills and the ability to collaborate and partner with other government agencies, academia, and private sector companies to achieve project objectives. - Work effectively with other research teams to develop and manage cross-cutting technical programs for a variety of customers. - 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. - Analyze data quality, characterize, and communicate data quality issues to data providers, and design repeatable data processing procedures to accurately analyze data in the presence of quality issues. - Employ specialized methods and state-of-the-art data analysis and modeling tools to support the INL's mission by ensuring the nation’s safe, competitive, and sustainable use of engineered systems in many domains by applying capabilities to impactful issues in risk, reliability, and operational performance. - Adhere to INL policies and lab-wide procedures related to software development, cybersecurity, and management of sensitive information and data. - Work with data providers, database administrators, and software developers to diagnose and solve problems with data and software systems quickly and effectively.
