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Argonne National Laboratory · 3 days ago

Postdoctoral Appointee - Foundation Models with Federated Learning

Lemont, IL

Full-time

Onsite

New Grad, Entry Level

$73K/yr - $121K/yr

0+ years exp

Argonne National Laboratory is seeking a highly motivated postdoctoral researcher to conduct independent research on foundation models for scientific and engineering applications. The role involves leading research on foundation models, advancing federated learning methods, and utilizing modern AI tools to enhance research productivity.

EnergySecuritySocial Impact

Culture & Values

No H1B

U.S. Citizen Only

Responsibilities

Leading research on foundation models, including problem formulation, algorithmic development, and rigorous experimental evaluation

Advancing federated learning methods that enable distributed and privacy-aware training and adaptation of foundation models

Using modern AI tools to accelerate research productivity across ideation, coding, experimentation, analysis, and writing

Interpreting results critically and positioning contributions within the broader research literature

Publishing research outcomes and contributing to reusable research software when appropriate

Qualification

Machine LearningDeep LearningPythonFederated LearningModern ML FrameworksResearch PublicationAnalytical ThinkingCommunication SkillsTeamwork

Required

PhD in computer science, applied mathematics, electrical engineering, statistics, or a closely related field, completed within the last 0–5 years is required

Demonstrated ability to conduct independent research, including problem formulation, methodological development, and publication in peer-reviewed venues

Strong background in machine learning, with research experience in deep learning, foundation models, or related areas

Solid programming ability in Python and experience with modern ML frameworks (e.g., PyTorch or equivalent), sufficient to support research and experimentation

Ability to effectively leverage modern AI tools to improve research productivity across the full research lifecycle

Strong written and oral communication skills, with the ability to publish research in peer-reviewed venues

Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork