Summary
Lawrence Livermore National Laboratory (LLNL) is seeking a dedicated Postdoctoral Researcher to join their Computing Directorate. The successful candidate will contribute to fundamental R&D in machine learning and statistical methods, tackling complex, interdisciplinary projects that combine state-of-the-art AI with science objectives to strengthen U.S. security and promote global stability.
Advance AI & National Security: Machine Learning Postdoc at LLNL, USA
Designation
Postdoctoral Researcher (Job Code: PDS.1 Post-Dr Research Staff 1)
Key Details Overview
| Feature | Details |
| Organization | Computing Directorate, LLNL |
| Position Type | Full-time, Post Doctoral (up to 3 years) |
| Pay Range | $138,480 Annually |
| Security Clearance | None required (Assignments >179 days require a federal background investigation) |
| Work Model | Hybrid (#LI-Hybrid) |
Research Area
The researcher will work within the Machine Intelligence Group in the Center for Applied Scientific Computing (CASC) Division. Key focus areas include:
- AI Safety & Security
- Foundation Models in material science and bio assurance
- Uncertainty quantification for deep learning models
- Multi-modal sequence-to-sequence models for chemical reactions/molecules
Location
Livermore, CA, USA
Eligibility/Qualification
- Education: Recent Ph.D. in Machine Learning, Optimization, Computer Science, Mathematics, or a related field.
- Technical Skills:
- Proficiency in modern software libraries (PyTorch, TensorFlow) for medium to large-scale deep learning models.
- Experience with scientific programming in the Python ecosystem.
- Expertise in one or more areas: large language models, graph neural networks, multimodal models, generative models, robustness, or explainable AI.
- Research Record: Demonstrated productivity documented by publications, reports, or open-source software in top-tier venues (e.g., NeurIPS, ICML, ICLR, CVPR, Nature).
- Clearance/Access: Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA).
Job Description
- Research, design, implement, and apply advanced machine learning methods across multiple scientific applications.
- Collaborate with scientists and engineers to define, plan, and execute experimental and modeling efforts for national security applications.
- Propose advanced analysis methodologies, analyze data, and document findings in technical reports and peer-reviewed journals.
- Contribute to multidisciplinary grant proposals alongside academic and industrial partners.
- Pursue independent, complementary research interests and engage with scientists internally and externally.
How to Apply
Interested candidates can apply directly by visiting the official LLNL job posting and clicking the “I’m interested” button to submit their application.
Last Date for Apply
Until the position is filled.
