Researcher in Artificial Intelligence and Cybersecurity

Want to assist Argonne in combating climate change, fortifying our nation’s crucial infrastructures, contributing to multiple scientific fields, and control your own future as a cybersecurity and AI researcher? In this position, you’ll collaborate with top-tier subject matter experts to apply innovative artificial intelligence and machine learning algorithms in constructing systems that safeguard critical infrastructure from cyber threats and oversee other risks to our national security. You’ll have the opportunity to work with some of the world’s most powerful and fastest supercomputers, and directly contribute to the missions of the Department of Energy, Department of Homeland Security, Department of Defense, and other federal sponsors. You’ll use cybersecurity, computer science, software engineering, and math to design models, simulations, data pipelines, testbeds, and work towards field deployments to make a real difference. You’ll also have the chance to publish in respected journals and seek funding for your own research ideas. The role involves aiding in the development of automated cyber defense capabilities to safeguard energy grid and other industrial control systems. You will make technical contributions in artificial intelligence and cybersecurity to bring new capabilities to prototype systems, and assist in designing and implementing validation and demonstration strategies to enable transitions to industry. Participation in research activities includes developing ideas, identifying publishing opportunities, and writing articles. Responsibilities consist of assisting on all phases of projects and research activities and writing proposals and reporting the status and results of projects and research. This role can be performed onsite, remotely, or in a combination of both. Position Requirements To be considered, you should meet most of the following criteria: - Knowledge of cybersecurity fundamentals (e.g., access controls, encryption, common software vulnerabilities, and best practices) - Experience writing object-oriented Python programs including unit testing and version control tools. - Experience with common data science and machine learning-related Python libraries (e.g., Pandas, Scikit-Learn, Keras). - Experience using and administering Linux systems. - Experience using Docker to develop containerized applications. - Familiarity with common AI paradigms (e.g., Supervised/Unsupervised Learning, Reinforcement Learning, Federated Learning) - Experience or willingness to learn research-related skills (literature reviews, experiment design, publishing in peer-reviewed venues) - Skilled at effectively collaborating with both technical and non-technical partners and stakeholders. - Skilled at sharing knowledge through partnering with and mentoring team members. - Skilled at oral and written technical communication. - Experience in a critical infrastructure sector, such as energy distribution is a plus. - Experience using cognitive architectures such as ACT-R or Soar is a plus. Other: - The selected candidate may be required to obtain and maintain a clearance in the future and must be a U.S. citizen. Please see http://www.state.gov/m/ds/clearances/c10978.htm for more information about requirements for obtaining a security clearance process. - A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. RD2:  Bachelor's & 5+ years experience, Master's & 3+ years experience or Doctorate & 0 years experience RD3:  Bachelor's & 8+ years experience, Master's & 5+ years experience or Doctorate & 4+ years experience Job Family Research Development (RD) Job Profile Cyber Security 2 Worker Type Regular Time Type Full time As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.