This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, and thus requires that such institutions be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title: Reliability Testing and Failure Analysis for Advanced Semiconductor Packaging
The work will entail: The Infrastructure Materials Group at the National Institute of Standards and Technology seeks a researcher with demonstrated knowledge of reliability testing and failure analysis for advanced semiconductor packaging, with strength in polymeric materials and multilayer interfacial mechanics relevant to CHIPS applications. The successful candidate will integrate reliability modeling with experimental techniques to investigate how environmental stressors accelerate aging, property degradation, and failure mechanisms in complex package architectures. The position requires expertise in mechanical characterization of thin-film and multilayer interfaces, including adhesion and failure onset, as well as a deep understanding of polymer structure-property relationships and failure analysis.
If selected, the researcher will play a significant role in NIST projects focused on reliability testing and failure analysis for advanced packaging. Collaborating with NIST staff and external partners, the researcher will design and execute experimental research to assess the impact of stress on the mechanical and thermal properties of polymeric materials and interfaces used in advanced packages. The research will aim to identify and quantify failure mechanisms, such as interfacial delamination, cohesive cracking, and fatigue damage, and generate high-quality datasets for model calibration and validation. These datasets will, in turn, inform the development of more accurate long-term reliability prediction frameworks. Ultimately, the outcomes of this research will provide a scientific foundation for the development of test methods, materials selection, and quality assurance protocols for the semiconductor packaging industry, driving advancements in product reliability and performance.
Key responsibilities will include but are not limited to:
Qualifications:
Tagged as: Life Sciences
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