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Sandia National Laboratories · 5 hours ago

Postdoctoral Appointee - Computer Science and AI Theory (Onsite)

Albuquerque, NM

Full-time

Onsite

Senior Level

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation. The role involves conducting research on brain-inspired algorithms and their application to complex real-world problems, working within an interdisciplinary team focused on neuromorphic computing and artificial intelligence.

GovernmentInformation TechnologyNational Security

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Qualification

PhD in relevant fieldNeuromorphic algorithmsArtificial intelligencePythonC++Neural network modelingResearch publicationsCollaborative teamwork

Required

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 Department of Energy Q clearance

Preferred

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