Senior Artificial Intelligence Researcher

Argonne National Laboratory

Lemont, USA

Job posting number: #7228599 (Ref:417672)

Posted: March 15, 2024

Job Description

Want to help Argonne fight climate change, make our nation’s critical infrastructures more resilient, contribute to multiple scientific frontiers, and build your own portfolio 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 that make a real difference. You’ll also get to publish in respected journals and pursue funding for your own research ideas along the way.

Develops automated advanced artificial intelligence/machine learning solutions to protect the energy grid and other industrial control systems. Designs and implements new capabilities for prototype systems; develops and executes validation and demonstration strategies to enable transitions to industry. Leads research activities including developing ideas, identifying publishing opportunities, and writing articles. Responsibilities include all phases of projects and research activities as well as writing proposals and reporting the status and results of projects and research.

Position Requirements

To be considered, you should meet most of the following criteria:

  • Experience implementing and improving common AI paradigms (e.g., Supervised/Unsupervised Learning, Reinforcement Learning, Federated Learning) to solve complex business problems.

  • Experience with common data science and machine learning-related Python libraries (e.g., Pandas, Scikit-Learn, Keras).

  • Experience conducting formal research (writing proposals, performing literature reviews, designing experiments, publishing in peer-reviewed venues)

  • Experience developing original research ideas and capturing funding to execute them. 

  • Experience writing object-oriented Python programs including unit testing and version control tools.

  • Experience using and administering Linux systems.

  • Basic knowledge of power systems fundamentals (e.g., SCADA protocols, distribution grids, fundamental electrical engineering principles)

  • Basic knowledge of cybersecurity fundamentals (e.g., access controls, encryption, common software vulnerabilities, and best practices)

  • 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.

Other:

  • To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract. A security clearance is not required but may be considered in the future depending on project assignments.

  • A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. 

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

Education:

RD4:  Bachelor's & 12+ yrs, Master's & 7+ yrs or Doctorate & 6+ yrs, or equivalent and relevant experience/certifications considered in lieu of formal education.

Job Family

Research Development (RD)

Job Profile

Cyber Security 4

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.  

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis.  Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements.  Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.



Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.


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