Machine Learning Postdoctoral Appointee
Job posting number: #7108625 (Ref:685110)
Posted: August 18, 2022
Job DescriptionPosting Duration: This 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. COVID-19 Vaccination Mandate: Sandia demonstrates its commitment to public safety in the national interest by requiring that all new hires be fully vaccinated or have an approved medical or religious accommodation before commencing employment. The requirement also applies to those who are telecommuting and working virtually. Any concerns about the ability to meet this requirement should be directed to HR Solutions at (505) 284-4700. What Your Job Will Be Like: Are you interested in conducting groundbreaking research at the intersection of neuroscience, computer science, mathematics, and engineering? We are seeking a dedicated postdoctoral appointee with machine learning (ML) experience to conduct research on neural-inspired algorithms for conventional and neuromorphic computing platforms. On any given day, you may be called on to: + Advance ML theory + Develop ML solutions for real-world problems + Design ML training environments (simulations); collect and curate training data + Analyze, integrate, and implement innovative techniques from literature + Collaborate with an interdisciplinary team of neuroscientists, computer scientists, mathematicians, and engineers to tackle complex problem + Publish research results in top-tier journals and conferences Qualifications We Require: + Possess, or are pursuing, a PhD in Computational Neuroscience, Computer Science, Mathematics, Electrical Engineering, or a related field + Proven track record with machine learning techniques and/or experience with systems modeling and simulation + Experience in a programming language such as Python, C, C++, or MATLAB + Able to acquire and maintain a DOE Q-level security clearance Qualifications We Desire: + Curiosity about innovative machine learning algorithms (e.g., neural-inspired algorithms, reinforcement learning, deep neural networks, spiking neural networks, recurrent neural networks) + Experience with reinforcement learning algorithms (single and multiagent systems) + Experience with ML training frameworks (e.g., tensorflow, pytorch, openAI gym, stable-baselines, rllib, etc.) + Interest in ML methods for training with limited resources (e.g., SWaP or data constraints) + Experience with specialized computational hardware such as GPUs, FPGAs, neuromorphic processors, and/or machine learning accelerators + Prior research activity. A list of publications should be included in your CV About Our Team: The Cognitive & Emerging Computing Team 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 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!
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 + 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.
Sandia 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. EEO: All 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. Position Information: This 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. Job ID: 685110
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.