Postdoctoral Appointee - Neuromorphic Codesign; Onsite

Postdoctoral Appointee – Neuromorphic Codesign (Onsite)

Apply for the Postdoctoral Appointee – Neuromorphic Codesign (Onsite) role at Sandia National Laboratories
.

• 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, including 9/80, 4/10, part‑time, and telecommuting options
• Generous vacation, strong medical and other benefits, competitive 401(k), learning opportunities, relocation assistance, and amenities aimed at creating a solid work/life balance

Learn more about Sandia at http://(Use the "Apply for this Job" box below)..gov

Are you passionate about working in collaboration with a highly interdisciplinary team of engineers, neuroscientists, computer scientists, and mathematicians? Our team seeks an electrical engineering or computer engineering postdoctoral appointee to conduct research on deploying artificial intelligence and computational neuroscience algorithms onto neuromorphic computing hardware.

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

• Co‑design novel brain‑inspired and machine‑learning algorithms and neuromorphic hardware, including analyzing, benchmarking, and modeling neuromorphic architectures.
• Find opportunities to improve future neuromorphic architectures targeting new application domains.
• Use neuromorphic sensors (e.g., event cameras) and neuromorphic processing to target edge‑computing applications such as space and remote systems, autonomous vehicles, and cybersecurity.
• Publish research results in high‑quality journals and professional conference venues.
• Work onsite in Albuquerque, New Mexico – relocation will be provided for those that qualify.

• Possess or be pursuing a PhD in electrical engineering, computer engineering, computer science, or a related field;
  PhD must be conferred within five years prior to employment.
• Experience developing and optimizing algorithms for specialized architectures such as neuromorphic hardware, FPGAs, GPUs, or machine‑learning accelerators.
• Experience with a common programming language such as Python, C++, or MATLAB.
• Able to acquire and maintain a DOE Q‑level security clearance.

• Interest in neural‑inspired and artificial intelligence algorithms (e.g., deep neural networks, spiking neural networks, recurrent neural networks).
• Interest in resource‑constrained AI and deep learning methods and techniques, and experience with specialized computational architectures.
• Experience with neural network modeling languages (PyTorch, Tensor Flow, Keras) or neural modeling languages (PyNN, NEST, NEURON).
• Experience in algorithm‑hardware co‑design.
• Prior research activity and publications in computing or electrical engineering conferences.

The department of Cognitive & Emerging Computing (Org. 01421) pursues foundational research and development of emerging general‑purpose energy‑efficient and beyond‑Moore computing paradigms; cognitive, brain‑inspired and neuromorphic computing; human‑machine interface technologies; and advanced heterogeneous architectures based on integrated commodity components, special‑purpose accelerators, neural architectures, and algorithms.

This posting will be open for application submissions for a minimum of seven (7) calendar days. Sandia reserves the right to extend the posting date at any time.

Applicants must be able to obtain and maintain a DOE Q‑level security clearance, which requires U.S. citizenship.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected class under state or federal law.

If you have a Medical Portable Electronic Device, you may be required to comply with NNSA security requirements for MedPEDs.

696457