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Argonne National Laboratory · 11 hours ago

Postdoctoral Appointee – Advancing AI and LLMs for Scientific Discovery

Lemont, IL

Full-time

Onsite

New Grad, Entry Level

0+ years exp

Argonne National Laboratory is seeking a highly motivated Postdoctoral Appointee with expertise in artificial intelligence and machine learning, specifically in developing Large Language Models for scientific applications. The role involves working with advanced computing resources and a multidisciplinary team to advance LLM capabilities for complex scientific challenges.

EnergySecuritySocial Impact

Culture & Values

H1B Sponsor Likely

Responsibilities

Design and optimize multimodal LLMs to encode, fuse, and reason over heterogeneous scientific data from diverse modalities such as numerical tables, text, and images

Conduct large-scale LLM training, including pretraining, fine-tuning, RL tuning, and domain-specific adaptation on HPC systems

Design and implement fine-tuning and RL strategies to optimize LLM alignment, performance, and reliability for scientific applications

Develop and deploy autonomous LLM agents capable of reasoning, planning, and decision-making to support complex scientific workflows

Implement alignment, safety, and reliability frameworks to ensure LLM outputs are accurate, trustworthy, and robust in scientific contexts

Evaluate and benchmark LLM reasoning, cognitive capabilities, and generalization to support robust analysis, interpretation, and decision-making

Apply conformal prediction and uncertainty quantification techniques to generate reliable confidence estimates and risk assessments for LLM outputs

Disseminate research findings through publications in peer-reviewed journals and conferences

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

Qualification

Artificial IntelligenceMachine LearningLarge Language ModelsHigh-Performance ComputingMultimodal Data HandlingRespectSafetyImpactTeamworkIntegrity

Required

Recently completed Ph.D. (typically within the last 0–5 years, or soon-to-be-completed) in Computer Science, Applied Mathematics, or a closely related field