Postdoctoral Fellow; PREP

PREP Research Associate – CHIPS Funded Project

Salary: $89,000.

Johns Hopkins University – Whiting School of Engineering – Office of Research and Translation.

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). Individuals in this position will perform technical work supporting the collaboration's scientific research.

HR-EBSD/HR-TKD Strain Measurement for Semiconductor Devices (U.S. Citizen Preferred).

• Operate a scanning electron microscope (SEM) to collect EBSD data for HR-EBSD analysis.
• Analyze HR-EBSD data with commercial, open source, and custom‑developed software.
• Perform assessments of precision and accuracy of strain measurements using NIST developed reference materials and customized samples.
• Use commercial and open-source codes to generate simulated EBSD patterns for comparison with experimental patterns and for assessing performance of new HR-EBSD analysis tools.
• Operate a state‑of‑the‑art automated FIB to create electron‑transparent samples from blanket films and leading node semiconductor devices for strain measurements via TKD and 4D-STEM.
• Collaborate with the Strain Measurement for Semiconductor Devices and Packages team within NIST, as well as with external stakeholders.
• Publish results in peer‑reviewed scientific journals and present results at scientific conferences.

• Ph.D. in materials science, physics, chemistry, chemical engineering or related field.
• Hands‑on expertise operating scanning electron microscopes with EBSD detectors.
• Experience with developing custom data analysis workflows including image processing using programming environments like Python, C++, Mathematica, Matlab, or similar.
• Comprehension of the mechanics of materials including stress, strain, and deformation. Mathematical formalizations of single‑crystal elasticity are required, as well as basic understanding of crystalline defects that influence strain.
• Basic understanding of the finite element analysis (FEA) method for simulation of the mechanical behavior of complex geometries like transistors.
• Strong written and oral communication skills; ability to work independently and as part of a team.
• U.S. Citizen Preferred.

• Johns Hopkins offers a total rewards package that supports employees' health, life, career and retirement. More information can be found at (Use the "Apply for this Job" box below)..

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic.

The successful candidate(s) for this position will be subject to a pre‑employment background check including education verification.