Employer: Sandia National Laboratories
Posting DurationThis posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the right to extend the posting date at any time.What Your Job Will Be LikeAre you passionate about working in collaboration with a hardworking interdisciplinary team of neuroscientists, computer scientists, mathematicians, and engineers? Our team is seeking an electrical engineering or computer engineering postdoctoral appointee to conduct research on deploying machine learning and numerical algorithms onto neuromorphic computing hardware.On any given day, you may be called on to:Develop techniques for mapping novel brain-inspired and machine learning algorithms onto existing and emerging neuromorphic hardware. This includes analyzing, benchmarking, and modeling neuromorphic architecturesFind opportunities to improve future neuromorphic platforms to impact new application domainsUse neuromorphic sensors (such as spiking cameras) and neuromorphic processing to target edge computing applications like space and remote systems, autonomous vehicles, and cybersecurityPublish research results in high-quality journals and professional conference venuesQualifications We RequirePossess, or are pursuing, a PhD in electrical engineering, computer engineering, computer science, or related fieldExperience in customizing algorithms to specialized architectures such as neuromorphic hardware, FPGAs, GPUs, or machine learning acceleratorExperience in a common programming language such as Python, C++, or MATLABAble to acquire and maintain a DOE Q-level security clearanceQualifications We DesireInterest in neural-inspired and ground breaking machine learning algorithms (e.g. reinforcement learning, deep neural networks, spiking neural networks, recurrent neural networks)Interest in resource (e.g. SWaP or Data) constrained machine learning and deep learning methods and techniques. 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 (PyNN, NEST, NEURON, etc.)Prior research activity, publications in computing or electrical engineering conferences is highly desirable (a list of publications should be included in your CV)About Our TeamThe 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;- advanced heterogenous architectures based on integrated commodity components, special purpose accelerators, neural architectures and algorithms.Our team is committed to nurturing an environment compatible with a broad group of people and perspectives in accordance with the changing makeup of the workforce. In support of this vision, our center actively recruits applicants from diverse groups of backgrounds and fosters an inclusive community.Join us and work towards your goals while making a difference! Position InformationThis postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia’s discretion up to five additional years. The PhD must have been conferred within five years prior to employment.Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.About SandiaSandia 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 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.Security ClearanceSandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.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 DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.EEOAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.