The American Society of Mechanical Engineers (ASME)
8 days old
2018-05-172018-06-22

R&D Computer Science - Mapping Brain-Inspired & Machine Learning Algorithms onto Neuromorphic Hardware (Experienced)

Albuquerque, NM
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We are seeking a Computer Scientist to conduct research and development on deploying machine learning and numerical algorithms onto neuromorphic computing hardware in collaboration with our interdisciplinary team of neuroscientists, computer scientists, mathematicians, and engineers\.



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



+ Develop techniques for compiling novel brain\-inspired and machine learning algorithms onto emerging neuromorphic hardware

+ Identify opportunities of how to improve future neuromorphic platforms to impact new application domains

+ Publish research results in high\-quality journals and competitive conference venues



More information about our groups work is available at: http://neuroscience\.sandia\.gov/



Required:



+ Bachelors and PhD in electrical engineering, computer engineering, computer science, or related STEM field

+ Experience with theoretical and practical aspects of machine learning, especially neural networks or similar techniques, OR experience in customizing algorithms to specialized architectures such as FPGAs, GPUs, or machine learning accelerators

+ Three years experience with common programming language such as C\+\+ or Python

+ Ability to obtain and maintain a DoE Q clearance



Desired:



+ 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



Department Description:



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\.



About Sandia:



Sandia National Laboratories is the nations 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 withamazingimpact 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 schedules, generous vacations,strongmedical 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\.



Security Clearance:



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\.



EEO Statement:



Equal opportunity employer/Disability/Vet/GLBT

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R&D Computer Science - Mapping Brain-Inspired & Machine Learning Algorithms onto Neuromorphic Hardware (Experienced)

Sandia National Laboratories
Albuquerque, NM

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R&D Computer Science - Mapping Brain-Inspired & Machine Learning Algorithms onto Neuromorphic Hardware (Experienced)

Sandia National Laboratories
Albuquerque, NM
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