Publisher
source

National Institute of Standards and Technology

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Senior Research Fellow in Durability of Additively Constructed Structures National Institute of Standards and Technology in United States

Degree Level

Postdoc

Field of study

Mechanical Engineering

Funding

Full funding available
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Country

United States

University

National Institute of Standards and Technology

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Keywords

Mechanical Engineering
Materials Science
Non-destructive Testing
Civil Engineering
Building Construction
Additive Manufacturing
Materials Engineering
Robotics

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About this position

Senior Research Fellow opportunity in the Infrastructure Materials Group at the Engineering Laboratory of the National Institute of Standards and Technology (NIST) through the NIST Professional Research Experience (PREP) program.

The project focuses on evaluating the durability of additively constructed structures, with research centered on additive manufacturing, civil engineering, materials science, robotics, and mechanical testing. The selected researcher will help develop test methods, material standards, and design guidance for additively constructed elements using accelerated weathering, multi-scale mechanical testing, and non-destructive testing.

Research activities include print operations on a 7-axis multi-component mortar robot printer, PLC and sensor integration, characterization of cast and printed elements, microscopy sample preparation, literature review, and reporting results in meetings and technical documents. The role also contributes to NIST’s Additive Construction by Extrusion (ACE) Consortium, working with NIST staff and external partners on experimental research that may inform future codes and standards.

Eligibility highlights: a master’s degree or higher in mechanical, civil, or materials engineering, or a related science field with emphasis on multi-scale structural testing; hands-on lab experience in mechanical characterization and related techniques; and eligibility for a Department of Commerce background check. Experience with R/Python, AutoCAD, Rhino, Grasshopper, Ansys, or Abaqus is a plus.

Location: Washington, DC, United States.

How to apply: Use the “Apply Here” link on the posting. Review the qualifications carefully and prepare evidence of your laboratory, data analysis, and modeling experience before submitting.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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