Artificial Intelligence and Cybersecurity Researcher

Key Skills

Aartificial intelligence, Design, Docker, Effective communication skills, Machine learning techniques, Pandas, Python Programming, Scikit-learn

Job Description

Want to help Argonne fight climate change, make our nation’s critical infrastructures more resilient, contribute to multiple scientific frontiers, and control your own destiny as a cybersecurity and AI researcher? In this role, you’ll team up with world-class subject matter experts to use cutting edge artificial intelligence and machine learning algorithms to build systems that protect critical infrastructure systems from cyber threats and manage other risks to our national security. You’ll get to work on some of the biggest and fastest supercomputers in the world, and directly contribute to the missions of the Department of Energy, Department of Homeland Security, Department of Defense, and other federal sponsors. You’ll leverage 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 get to publish in respected journals and pursue funding for your own research ideas along the way.

Assists in developing automated cyber defense capabilities for the purposes of protecting energy grid and other industrial control systems. Makes technical contributions in artificial intelligence and cybersecurity to implement new capabilities for prototype systems, as well as help design and implement validation and demonstration strategies to enable transitions to industry. Participates in research activities including developing ideas, identifying publishing opportunities, and writing articles. Responsibilities include assisting on all phases of projects and research activities as well as writing proposals and reporting the status and results of projects and research.

This role can be performed onsite, remotely, or a hybrid of the two.

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:

• 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+ yrs, Master's & 3+ yrs or Doctorate & 0 yrs

RD3: Bachelor's & 8+ yrs, Master's & 5+ yrs or Doctorate & 4+ yrs

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.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.