Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations, and outcomes for the U.S. Department of Energy and other sponsors. At PNNL, you will find an exciting research environment and excellent benefits including health insurance and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living.
PhD Intern - Computer Science
Location
United States
Posted
24 days ago
Salary
$24 - $36 / hour
Seniority
Entry Level
Job Description
PhD Intern - Computer Science
Pacific Northwest National Laboratory
Role Description The Electricity Infrastructure and Buildings Division of PNNL is accelerating the transition to a decarbonized, efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and advanced data analytics to drive innovation, transform markets, and shape energy policy. The Optimization and Control Group and the Energy Systems and Resilience Group are looking for a Summer Intern to contribute to innovative research on foundational models and cybersecurity. The intern will play a key role in leveraging foundational models to streamline user interactions and provide targeted insights for an existing multi-criteria decision-making platform used in large-scale infrastructure planning. Additionally, the position will also focus on the application of Artificial Intelligence (AI) to develop a set of supplementary tools to enhance the Cybersecurity Capability Maturity Model (C2M2). The intern will work with PNNL staff to: - Simplify user interactions and answer complex infrastructure planning queries for multi-criteria decision making in large-scale infrastructure planning. - Enable users of the C2M2 to advance the maturity of their cybersecurity program. The work will require an understanding of AI training, testing, and validation. Furthermore, the intern may be required to work with PNNL staff in the deployment of the tool. Qualifications - Currently enrolled/matriculated in a PhD program at an accredited college. - Minimum GPA of 3.0 is required. - Preferred: Currently enrolled in PhD program Computer Science, Electrical Engineering, Computer Engineering, Data Science, Cybersecurity, or a closely related field. - Preferred coursework or project experience in: - Machine learning/NLP - Information retrieval - Software engineering - Cybersecurity - Nice-to-have: Relevant certifications or training such as Azure/AWS fundamentals, Security+ (or equivalent), or prior research/industry experience with applied AI. - Intermediate programming ability in Python; familiarity with software engineering basics (Git, code reviews, unit testing, packaging). - Some working knowledge of LLMs and agent frameworks (e.g., OpenAI/Anthropic APIs, Azure OpenAI; LangChain and/or LlamaIndex) including prompt design, tool/function calling, retrieval-augmented generation (RAG), and basic agent orchestration. - Experience with data preparation and knowledge management: - Cleaning/structuring text - Document ingestion - Metadata/tagging - Embeddings - Working with vector databases (e.g., FAISS, Chroma, Pinecone, Azure AI Search, Elasticsearch). - Understanding of AI evaluation, testing, and validation: - Creating test sets - Measuring response quality/accuracy - Hallucination and bias considerations - Regression testing for prompts/agents - Documenting limitations. - Familiarity with cybersecurity concepts sufficient to work with C2M2 content (e.g., governance, risk management, asset management, incident response); ability to learn the C2M2 model quickly and translate it into user workflows. - Basic experience or understanding building web apps or APIs for deployment/integration (e.g., Flask/FastAPI, Streamlit, or similar), plus containerization fundamentals (Docker) and cloud/service deployment awareness. - Strong written communication and documentation skills (requirements capture, design notes, user guidance), ability to collaborate with researchers/engineers, and comfort working with sensitive information under defined controls. Requirements - Not Applicable Benefits - Employee assistance program - Business travel insurance - Company funded pension plan and 401k savings plan (once eligibility requirements are met) Company Description Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living.
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