Postdoctoral Fellow; PREP

PREP Research Associate – CHIPS Funded Project

Nanometer-Scale Planar Reference Materials (U.S. Citizens Preferred)

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). The Prep program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration’s scientific research.

• Plan and conduct research on advanced X‑ray metrologies to determine structural (physical and chemical) properties of blanket (non‑patterned) thin films on Si and SiC wafers.
• Use lab‑based and synchrotron X‑ray characterization methods to determine the structural properties of thin film samples.
• Use open‑source (Python) fitting methods to constrain structural models, determine uncertainties, and combine these properties into a hybrid metrology digital wafer.
• Perform wafer dicing, cleaning, and packaging of samples for distribution as research‑grade test materials.
• Publish results in archival scientific journals and present results at topical meetings.

• Ph.D. in physics, materials science, or a related field.
• Background in X‑ray measurement technique(s) such as X‑ray reflectivity, X‑ray fluorescence, or X‑ray photoelectron spectroscopy.
• Background in programming and/or data modeling using Python.
• Familiarity with thin film deposition and clean room access protocols is preferred.
• Strong oral and written communication skills.

Salary Range: The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. The actual compensation offered may vary based on multiple factors.

Total Rewards: Johns Hopkins offers a total rewards package that supports employees’ health, life, career and retirement.

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To that end, the university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved.