Date Posted: Jul 30, 2019
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. : Are you passionate about developing and applying data science and analytics to characterize material microstructure, chemical composition or materials behavior? If so, you will want to consider applying for this opportunity to join our dynamic, multidisciplinary team of materials scientists, chemists, physicists and others. We are seeking a Postdoctoral Appointee to conduct research in the data science to describe, assess and understand a range of chemical and materials characteristics and properties. On any given day, you may be called on to: + Plan, conduct, and analyze large data sets ranging from pattern recognition of spectral outputs and 3D microstructural data to mechanical properties from high-throughput testing + Synthesize data analytics knowledge to provide recommendations for additional and/or complementary research to develop data analytics tools to provide clearer understanding of chemical composition, material properties and improved performance + Work with Sandia staff in a collaborative team environment on multiscale projects as part of a dynamic technically-challenging research organization + Effectively communicate accomplishments in presentations at international conferences and publications in peer-reviewed journals
+ Your education will include a PhD in Materials Science, Applied Mathematics, Chemistry, Computer Science, Physics or a related discipline plus a bachelor's in a science, technology, engineering or mathematics (STEM) discipline. + You have experience in data analytics, machine learning or artificial intelligence. + You have experience with applications in materials or chemical analysis techniques for characterizing chemical composition, diffraction or spectra pattern recognition, or materials physical structure or properties. + Your effective communication skills are evidenced by a history of publication of results in peer- reviewed journals and external presentations at appropriate scientific conferences.
+ Your background includes a knowledge of materials and chemistry, image analysis, or spectral analysis + You possess experience in computer programming and use of high-performance computing resources. + Experience demonstrating teamwork and positive customer interactions + Proven ability to establish strong collaborations with both computational scientists and experimentalists + Consistent track record of first-authorship papers in peer-reviewed publications or conference presentations + Familiarity with use of mathematical package such as Mathlab, Python, or similar tools
The Computational Materials and Data Science Department provides advanced computational analysis that enables materials-based insight and solutions. Capabilities include model development for nanoscalar and mesoscalar materials evolution, interfacial dynamics, defect initiation and propagation, multivariate analysis, and signal processing. We conduct experiments in micromechanics and volumetric flaw distribution to validate our computational work. Our multidisciplinary background and materials science expertise enable mechanistic and physical understanding related to aging and wear of materials such as metals, semiconductors, biomaterials, and polymers in support of DOE nuclear and non-nuclear missions.
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 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.
This position does not currently require a Department of Energy (DOE) security clearance. Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Furthermore, employees in New Mexico need to pass a U.S. Air Force background screen for access to Kirtland Air Force Base. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause access to be denied or terminated, resulting in the inability to perform the duties assigned and subsequent termination of employment. If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a clearance, a pre-processing background review may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance need to be U.S. citizens. 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.
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.