Postdoctoral Appointee - Bayesian Optimization/Optimal Experimental Design
Job posting number: #7078955 (Ref:676521)
Posted: May 25, 2021
Job DescriptionThis 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. : We are seeking a Postdoctoral Appointee at Sandia National Laboratories in Livermore, CA. This position involves research on Bayesian optimization and/or experimental design with an eye towards developing novel algorithms and approaches. This position will also involve collaboration with domain experts to apply these methods to a variety of problems such as optimal sensor placement, data acquisition strategies to guide computer simulations, and the design of physical experiments. Potential application domains include seismology, quantum computing, material science, machine learning, and high-performance computing. This position will involve significant collaboration within Sandia and other institutions with researchers in applied mathematics, statistics, and application domains. On any given day, you may be called on to: + Work as part of a technical team conducting innovative research in foundational and applied computational science + Apply computational science capabilities to scientific and engineering applications relevant to Sandia’s diverse mission space + Publish outstanding new developments in peer-reviewed scientific journals + Contribute to development of open-source software + Interact and cooperate with a diverse set of colleagues
+ Ph.D. in computer science, applied mathematics, related engineering/science subject area, or a Ph.D. in a domain science with extensive experience in computational science for Bayesian methods. + Technical expertise in Bayesian optimization or Optimal Experimental Design. + Knowledge of Bayesian inference theory and computational methods. + Publication record indicative of relevant research expertise + Ability to hold a DOE Q-level security clearance
+ Ability to work in collaborative, interdisciplinary research environments on problems comprising diverse application domains + A background in solving practical problems in science and engineering that involve encounters with real-world data + Experience in high performance, distributed, or parallel computing + Proven software development experience in C++, C, Matlab, R, Python, Julia, or related languages + Expertise in Machine Learning and Bayesian Neural Networks + Proven research community leadership through activities such as participation in student or professional organizations, outreach activities, etc. + Related professional experience such as internships in industry or at other national labs, participation in visiting research programs, etc.
Sandia's Extreme-scale Data Science & Analytics department provides strong expertise in data science and analytics, supporting Sandia's physical sciences and engineering mission partners by enabling the extraction of critical insights from extreme-scale observations, simulations and experiments. Capabilities in the department combine recent advances in applied mathematics and computer science, with expertise in uncertainty quantification, reduced order modeling, linear/multilinear methods, nonlinear optimization, and feature identification techniques. These capabilities complement and leverage existing research in other Sandia departments.
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.
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. : 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.
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.