We are seeking a Computer Scientist to conduct research and development on brain-inspired algorithms for emerging neuromorphic computing hardware in collaboration of our interdisciplinary team of neuroscientists, computer scientists, mathematicians, and engineers.
On any given day, you may be called on to:
Develop and extend brain-inspired algorithms, such as investigating new neural mechanisms into deep learning networks
Develop new application areas for computational neuroscience and neural-inspired computing in fields like high-performance computing, remote sensing, and cybersecurity
Publish research results in high-quality journals and competitive conference venues
More information about our group’s work is available at: http://neuroscience.sandia.gov/
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
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible schedules, generous vacations, 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://www.sandia.gov
*These benefits vary by job classification.
Equal opportunity employer/Disability/Vet/GLBT
Bachelor’s and PhD in computational neuroscience, computer science, applied mathematics, or related STEM discipline
Experience with theoretical and practical aspects of machine learning, especially neural networks or similar techniques, OR experience in developing computational and mathematical models of neural circuits in the brain
Experience with a common programming language such as C++ or Python
Ability to obtain and maintain a DoE Q clearance
Experience with neural network modeling languages (Theano, Tensorflow, Keras, etc) or neural modeling languages (PyNN, NEST, NEURON, etc)
Prior research publications in neuroscience journals or machine learning conferences
The Data-driven and Neural Computing Department conducts science, technology, and research and development in human-machine interface technologies, algorithms for data-heavy applications, and brain inspired computing. Examples include computational modeling of neural and cognitive processes, cognitive software agents, conventional compute platforms, advanced architectures based on integrated commodity components, data-centric computer platforms, and neural architectures and algorithms. Some of our core technologies emulate and augment human cognition using algorithms ranging from machine learning to detailed physiologically-based models of perception and cognition.
Position requires a Department of Energy (DOE) granted Q-level security clearance.
Sandia is required by DOE directive to conduct a pre-employment drug testing, and a pre-employment background review that includes personal reference checks, law enforcement record and credit checks, and employment and education verifications. Applicants for employment must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by the DOE, rendering the inability to perform the duties assigned and resulting in termination of employment.