Postdoctoral Fellow - Applied & Computational Scientists

SRI International • Menlo Park, CA

3d • Hybrid

About The Position

The Applied Sciences Laboratory at SRI International is seeking multiple Postdoctoral Fellows - Applied and Computational Scientists to conduct research and development in the areas of mathematics of generative AI models, reinforcement learning, and algorithm design. Though knowledge in one or more of these areas is desired, the ability to quickly learn new topics and dive into unfamiliar areas of research is a key ability that will be required. These positions will be in support of a new computational and mathematical sciences team at SRI International headquarters in Menlo Park, CA, with flexibility for a hybrid work schedule. We are looking to fill in June, July or August, 2026. Our team focuses on the development of new algorithms for a wide variety of exciting applications including supply chain networks, social graphs, optimization of generative AI models, material failures, quantum algorithms, and biological systems. The aim of the team is to conduct and publish research at top venues and assist SRI commercialize relevant technologies by filing patents and spinning out start-ups.

Requirements

• Ph.D. in Applied Mathematics, Physics or Engineering with a focus on computational sciences, Computer Science or related area.
• Demonstrated publication record.
• Must have U.S. Citizenship or Perm Residency.
• Expertise in algorithm development associated with the following: artificial intelligence, algorithm design, scalable computational methods and their implementations.
• Demonstrated experience implementing novel algorithms in one or more programming languages such as Python, C/C++, and libraries associated with training of AI models.
• Excellent written, oral, and interpersonal communication skills required.
• Ability to start June, July or August 2026

Nice To Haves

• Knowledge in one or more of the following areas: mathematics of generative AI models, reinforcement learning, and algorithm design.
• Ability to quickly learn new topics and dive into unfamiliar areas of research.

Responsibilities

• Develop research ideas, lead the experimental evaluation of these ideas, present work to government and commercial clients
• Collaborate with project Principal Investigators (PIs) and their staff in academia, Industrial and National Labs
• Document research in technical reports and research papers
• Develop and implement new algorithms and benchmark against state-of-the-art approaches

Benefits

• Competitive benefits package

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree