Argonne Energy Technology & Security Fellow (AETS) for AI Technologies
Full Time
Lemont, IL 60439
Posted
Job description
Argonne National Laboratory has a long-standing tradition of attracting top early career talent through the Named Fellowship Program. These special fellowships are awarded internationally each year to outstanding doctoral engineers and scientists who are at early points in promising careers. The AETS Named Fellowship is an exciting and unique opportunity to lead and contribute to cutting edge applied research that develops and uses artificial intelligence components for science and engineering applications in the energy and global security space. The proposals should demonstrate short and long-term impact on the target applications. Fellows work closely with an Argonne sponsor to pursue their research interests.
AETS Named Fellowship Details:
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Proposals that align with Argonne and DOE missions with be considered, including proposals in the areas of:
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Manufacturing science and engineering
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Nuclear energy science and technology
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Advanced propulsion and power
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Transportation and mobility
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Energy and critical resource recovery
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Non-proliferation and cybersecurity
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Security and resilience of infrastructure systems
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Candidates should familiarize themselves with theReport on the DOE Town Halls on AI for Scienceand consult with their sponsors to determine the strategic alignment with the proposed application.
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Proposals that make use ofArgonne’s user facilitiesandArgonne Leadership Computing Facility (ALCF) AI-Testbedare strongly encouraged.
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The following funding model allows Fellows to advance independent research as outlined in their fellowship proposal, while making significant contributions to Argonne’s initiatives.
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The first two years of the fellowship are funded 100% by the AET and NTNS directorates.
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The third year is funded 50% by the directorates and 50% by other programs identified by the fellow and the host division.
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The benefits of the appointment include a highly competitive salary and a generous professional allowance.
Position Requirements
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Ph.D. conferred within three years at the time of application or completion of Ph.D. requirements by commencement of appointment.
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Experience in using leadership-class CPU and hybrid CPU/GPU supercomputers for large-scale computationally intensive simulations and data analysis.
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Experience in developing data intensive machine learning frameworks (using TensorFlow, PyTorch, Flux, etc.) on advanced architectures to advance science, engineering, and technological developments.
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Effective analytical and problem-solving skills to contribute to creative solutions to complex problems.
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Skilled in communication skills, both verbal and written at all levels of the organization.
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Collaborative skills, including the ability to work well with other labs, universities, computing centers, and industry.
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Evidence of academic achievement with potential for technical and research leadership.
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Research in areas that align with Argonne’s mission.
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Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Preferred Qualifications:
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Leadership skills as evidenced through service, community outreach, activities to advance diversity, equity and inclusion, professional society engagement, etc.
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Creativity and motivation.
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Alignment withArgonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Application Instructions:
Briefly, complete application packages will include:
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Sponsor nomination form completed and submitted by your Argonne sponsor. Sponsors should read the detailed guidance for completing the nomination form.
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Research proposal and project plan submitted using the research template. Please review the guidance for using the template.
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Three letters of recommendation – refer to applicant instructions for guidance.
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CV uploaded through the application link.
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Graduate transcripts – refer to applicant instructions for acceptable format.
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A copy of the application guidelines, templates, and forms can be foundhttps://www.anl.gov/aet/argonne-energy-technology-security-fellowship
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All application materials must be submitted by 7:00 PM Central Standard Time on March 21, 2023. Incomplete applications will not be considered for review.
Job Family
Argonne Scholar Family
Job Profile
Argonne Scholar
Worker Type
Long-Term (Fixed Term)
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.
Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination.
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