This position is part of the National Institute of Standards and Technology (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, thus requires that such institutions must 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.
The Sensor Science Division at the National Institute of Standards and Technology (NIST) is seeking a researcher to advance the understanding and measurement of optical properties of materials. This role emphasizes developing innovative, high-accuracy methods to characterize how materials interact with light–through reflectance, transmittance, and bidirectional reflectance distribution function (BRDF)–across the ultraviolet, visible, and short-wave infrared spectral regions. The researcher will work to reduce measurement uncertainties while exploring new approaches that enable more precise and reliable material characterization. In collaboration with experts at NIST, this work will address real-world challenges such as improving the efficiency of solar energy materials, enabling more accurate remote sensing for climate monitoring, enhancing optical coatings for advanced imaging and defense systems, supporting semiconductor and advanced manufacturing processes, and improving material identification in fields ranging from biomedical diagnostics to cultural heritage preservation.
Key responsibilities will include but are not limited to:
Qualifications
? Ph.D. in Physics, Optics, Engineering, Chemistry, or a closely related field.
? Hands-on experience in design and construction of optical instruments.
? Demonstrated experience with laser technologies.
? Familiarity or direct experience with optical modeling.
? Programming proficiency with Python, MATLAB, or LabView for instrument control and data analysis.
? Evidence of independent research experience and a strong enthusiasm for learning new theoretical, computational, and experimental techniques.
? U.S. Citizen strongly preferred.
Tagged as: Life Sciences
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