Job Description
Savannah River National Laboratory's Bio and Analytical Sciences group is seeking highly motivated graduate fellows to advance our AI-driven knowledge management capabilities. This fellowship is focused on building next-generation systems for intelligent information retrieval, knowledge graph construction, and multi-agent AI workflows that support complex scientific workflows.
The successful candidate will bring graduate-level research experience in large language models, retrieval-augmented generation (RAG), or knowledge representation, and a passion for applying these techniques to real-world challenges across scientific and engineering domains.
Responsibilities
- Design and implement knowledge management pipelines using large language models (LLMs), retrieval-augmented generation (RAG), and vector databases to enable intelligent information retrieval across large, multi-modal document corpora
- 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 and support semantic search
- Collaborate with cross-functional research teams to integrate AI knowledge tools into existing scientific workflows and applications
- Author technical documentation, scientific journal articles, and internal reports communicating methods and findings to both technical and non-technical audiences
- Participate in code reviews and contribute to a shared, well-maintained research codebase
- Monitor and evaluate emerging developments in LLMs, agentic AI, and knowledge management frameworks, and assess their applicability to ongoing projects
Qualifications
Minimum Qualifications:
- Recent graduate (M.S. or Ph.D.) in Computer Science, Data Science, Information Science, or other scientific and engineering disciplines
- Strong proficiency in Python, including experience with AI/ML libra ries such as PyTorch, Hugging Face Transformers, or LangChain
- Foundational understanding of large language models, prompt engineering, and retrieval-augmented generation (RAG)
- Experience with or coursework in natural language processing (NLP) or knowledge representation
- Ability to clearly document and communicate technical research, including writing reports and presenting findings
- Self-directed with strong collaboration and interpersonal skills
- Must be able to obtain and maintain security clearance, for which U.S. Citizenship is legally required.
Preferred Qualifications
- Research experience or publications related to LLMs, knowledge graphs, information retrieval, or multi-agent systems
- Hands-on experience building end-to-end RAG pipelines or agentic AI workflows
- Familiarity with knowledge graph construction, ontology design, or semantic web technologies (RDF, SPARQL, OWL)
- Experience with vector databases or embedding-based search systems
- Background in a scientific or national security domain (e.g., environmental science, bioengineering, chemistry) is a plus
- Experience working in a research or government laboratory environment
About Us
"We put science to work!"
Savannah River National Laboratory (SRNL) is a multi-program laboratory applying state of the art science and practical, high-value, cost-effective solutions to complex technical problems to protect the nation. Located at the U.S. Department of Energy’s (DOE) Savannah River Site (SRS) in Aiken SC, the laboratory develops and deploys innovative technologies to address some of the nation’s environmental, energy, and national security challenges.
Battelle Savannah River Alliance (BSRA) is constantly assessing trends to provide the best possible benefits to our workforce. We also negotiate cost effective premiums that will meet the needs of our evolving workforce.
Some of the *Benefits offered to employees include:
- Benefits vary based upon employment status
- Highly competitive Medical, Dental, and Vision options including HSA options with company provided seed
- Short- & Long-Term Disability (company paid)
- Life Insurance Non-Contributary 1X salary (company paid)
- AD&D Non-contributary 1x salary (company paid)
- Savings & Investment plan:
- Qualified Non-Elective Company Contribution of 5% each pay period with immediate vesting
- Company match 50 cents/dollar up to 8% (5 yrs. vesting in company match)
- Contributory Life Insurance up to 5x Salary with $1M Cap
- Contributory AD&D (employee, spouse and children)
- Paid Time Off
- Employee Assistance Plan
- SRNL offers a competitive relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions.
For more information about our benefits, working here, and living here, visit the
“About” tab at www.srnl.doe.gov .
BSRA is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. BSRA is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. Please email us at SRNLRecruiting@srnl.doe.gov with any questions regarding the hiring process or to request an accommodation.
About The Team
SRNL’s Environmental & Legacy Management (ELM) Directorate closely collaborates with the Department of Energy (DOE) and site contractors to develop, mature, and apply science and technology needed to resolve environmental challenges and advance legacy management missions. As the lead laboratory for Environmental Management (DOE-EM) and Legacy Management (DOE-LM), SRNL applies our talent and expertise to develop and deploy innovative approaches and technologies to reduce risk, cost, and schedule of environmental cleanup and nuclear material processing. Additionally, ELM is using our competencies to develop new materials and processes for a range of clean energy applications.
