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Postdoctoral Appointee - Material Characterization and Additive Manufacturing - Onsite

Remote / Online - Candidates ideally in
Kansas, USA
Listing for: Sandia National Laboratories
Remote/Work from Home position
Listed on 2026-01-22
Job specializations:
  • Engineering
    Research Scientist, Materials Engineer, Mechanical Engineer
  • Research/Development
    Research Scientist
Job Description & How to Apply Below

About Sandia:

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 vacation, 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://(Use the "Apply for this Job" box below)..gov

* These benefits vary by job classification.

What Your Job Will Be Like:

Are you passionate about research related to materials science? If so, you may want to consider applying to join Sandia’s Materials Characterization and Performance department as a Postdoctoral Appointee. In this role, you will have the opportunity to interact and collaborate with other inter‑disciplinary research groups within Sandia National Labs to tackle unusual research problems related to three‑dimensional materials science.

Our team has an immediate opportunity for a postdoctoral appointee focused on three-dimensional materials science. Job responsibilities include customizing, operating, and analyzing data output from a variety of automated tools, including XCT, SEM‑based serial sectioning, and mechanical serial sectioning, as well as crafting and applying various imaging and data processing techniques to in situ data streams for advanced manufacturing processes. Postdoctoral appointee will also combine materials processing knowledge to provide recommendations for additional or complementary testing to provide improved understanding of material processing‑structure‑property relations.

Research materials include but are not limited to metals, ceramics, composites and multi‑material components. Two secondary emphasis areas for the post‑doctoral appointment will be to interface directly with robotic controls hardware to update collection software and upgrade characterization capabilities, as well as to improve failure prediction models through the use of high fidelity 3D datasets.

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

  • Customize, operate, and analyze data output from a custom automated mechanical serial‑sectioning system
  • Apply various image and data processing techniques to produce quantitative measures of microstructure, defects and/or other features of interest
  • Combine materials processing knowledge to provide recommendations for additional and/or complementary characterization techniques to provide clearer understanding of microstructural arrangements
  • Prepare presentations or written documentation to summarize work and communicate results to internal customers
  • Externally publish in high-impact journals and present at conferences

Due to the nature of the work the selected applicant must be able to work onsite in Albuquerque, New Mexico. Relocation will be provided for those that qualify.

Qualifications We Require:
  • You have, or are pursuing, a PhD in Materials Science & Engineering or related technical discipline and possess a bachelor's in science, technology, engineering or mathematics (STEM) and PhD must be conferred within five years prior to employment
  • Experience in materials characterization, including image analysis and signal processing
  • Experience with electron imaging and diffraction methods
  • Programming experience for quantitative analysis of large format datasets, not language‑specific
  • Able to obtain and maintain a DOE Q security clearance
Qualifications We Desire:
  • Experience with Materials Science and Engineering, metallurgy, and additive manufacturing
  • Strong technical writing skills and the…
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