About the role#
Savannah River National Laboratory is seeking a graduate fellow to advance AI-driven knowledge management. This position focuses on building systems for intelligent information retrieval, knowledge graph construction, and multi-agent AI workflows to support complex scientific research. You will apply your research experience in large language models and knowledge representation to real-world challenges in scientific and engineering domains.
What you'll do#
- Design and implement knowledge management pipelines using large language models (LLMs), retrieval-augmented generation (RAG), and vector databases.
- Develop and evaluate multi-agent AI architectures for automated reasoning, summarization, and decision support.
- Build and maintain knowledge graphs and ontologies to represent complex domain relationships.
- Collaborate with cross-functional research teams to integrate AI tools into scientific workflows.
- Author technical documentation, scientific journal articles, and internal reports.
- Participate in code reviews and contribute to a shared research codebase.
- Monitor and evaluate emerging developments in LLMs, agentic AI, and knowledge management frameworks.
What you'll need#
- Recent graduate (M.S. or Ph.D.) in Computer Science, Data Science, Information Science, or related scientific and engineering disciplines.
- Strong proficiency in Python, including experience with libraries such as PyTorch, Hugging Face Transformers, or LangChain.
- Foundational understanding of large language models, prompt engineering, and RAG.
- Experience with or coursework in natural language processing (NLP) or knowledge representation.
- Ability to clearly document and communicate technical research.
- Preferred: Research experience or publications related to LLMs, knowledge graphs, information retrieval, or multi-agent systems.
- Preferred: Hands-on experience building end-to-end RAG pipelines or agentic AI workflows.
- Preferred: Familiarity with knowledge graph construction, ontology design, or semantic web technologies (RDF, SPARQL, OWL).
- Preferred: Experience with vector databases or embedding-based search systems.
- Preferred: Background in a scientific or national security domain (e.g., environmental science, bioengineering, chemistry).
- Preferred: Experience working in a research or government laboratory environment.
Location & details#
- Location: Aiken, South Carolina, United States.
- Modality: On-site.
- Employment type: Full-time.
- Compensation: Paid position.
- Term: Rolling.
About Savannah River National Laboratory
Savannah River National Laboratory is a research and development facility based in Aiken, South Carolina. Founded in 1951, it operates as a multidisciplinary laboratory under the United States Department of Energy. The organization focuses on environmental stewardship, national security, and energy research. It employs nearly 900 people to address technical challenges in engineering, cyber security, and nuclear materials management.
How to get in at Savannah River National Laboratory
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