Postdoctoral Appointee - Computer Science and AI Theory; Onsite

Sandia National Laboratories

Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting‑edge work in a broad array of areas. Some of the main reasons we love our jobs:

• Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
• Extraordinary co‑workers
• Some of the best tools, equipment, and research facilities in the world
• Career advancement and enrichment opportunities
• Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten‑hour days each week) compressed workweeks, part‑time work, and telecommuting (a mix of onsite work and working from home)
• Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World‑changing technologies. Life‑changing careers. Learn more about Sandia at: http://(Use the "Apply for this Job" box below)..gov

* These benefits vary by job classification.

Albuquerque, NM

Full‑time, Temporary

We are seeking highly motivated postdoctoral candidates to conduct research on the theory of brain‑inspired algorithms and their application to solving complex real‑world problems. You will join a highly interdisciplinary team conducting high‑level R&D in neuromorphic computing, artificial intelligence, and spiking neural networks for a variety of applications. The successful candidate will join our fun and interdisciplinary team of computer scientists, mathematicians, engineers, and neuroscientists conducting high‑level R&D in areas such as neuromorphic computing, artificial intelligence, and spiking neural networks.

A strong background in theory (e.g., mathematics, theoretical neuroscience, computer science) is a necessity. Experience with artificial intelligence models is strongly preferred.

On any given day, you may be called on to:

• Develop and extend neural‑inspired artificial intelligence algorithms.
• Research theoretical principles and model interpretability/model introspection.
• Program and test algorithms on neuromorphic and AI accelerator hardware.
• Design novel energy‑efficient computing architectures.
• Apply existing state‑of‑the‑art methods and algorithms to domain data.
• Engage with the community for conferences, workshops, proposals and outreach.
• Develop and support open‑source research software packages.
• Publish research results in high‑quality journals and competitive conference venues.

We value a diverse team. We encourage people of all racial/ethnic identities, all gender identities, veterans, and individuals with disabilities to apply.

Due to the nature of the work the selected applicant must be able to work onsite in Albuquerque, New Mexico. Relocation will be provided for those that qualify.

• Possess, or are pursuing, a PhD in computer science, mathematics, theoretical neuroscience, physics, computer engineering, electrical engineering or a relevant field;
  PhD must be conferred within five years prior to employment.
• Experience with theoretical or practical aspects of either neuromorphic algorithms or artificial intelligence.
• Experience in a common programming language such as Python or C++.
• Able to obtain and maintain a DoE Q clearance.

• Interest in developing neural‑inspired and cutting‑edge artificial intelligence algorithms (e.g. spiking neural networks, Bayesian neural networks, RNNs, LLMs) or in the deployment and application of such algorithms.
• Experience with specialized computational architectures such as GPUs, FPGAs, neuromorphic processors, or machine learning accelerators.
• Experience with neural network modeling languages (PyTorch, Tensorflow, Keras, etc) or neural modeling languages.
• Prior research peer‑reviewed publications are highly desirable.
• Desire to work as part of a collaborative, multi‑disciplinary team.

The department of Cognitive & Emerging Computing (Org. 01421) pursues foundational research and development of:

- emerging general‑purpose energy‑efficient…