NIST PREP Postdoc Associate, Inverse Problems and Signal Processing Thermoreflectance Measurements

Position: NIST PREP Postdoc Associate, Inverse Problems and Signal Processing for Thermoreflectance Measurements
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, 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.

Research title: Inverse Problems and Signal Processing for Thermoreflectance Measurements

The work will entail:This postdoctoral position entails developing new analysis techniques and inversion methods related to the thermal properties of computing devices, as probed with through thermoreflectance imaging. The position requires basic knowledge of classical and/or data-driven inverse problems, familiarity with mathematical modeling with differential or integral equations, and experience applying statistical methods to datasets of measured data. Additionally, the applicant should have experience with basic signal processing techniques related to Nyquist sampling theory.

The position is aimed at developing new techniques for identifying heat sources in devices that probed with thermoreflectance imaging techniques and in developing rapid measurement techniques for this problem.

Key responsibilities will include but are not limited to:

• Design, implement, and analyze new algorithms for heat source localization of thermoreflectance images;
• Design, implement, and analyze new techniques for sampling thermoreflectance images with compressed sensing, adaptive Gaussian processes, or similar sub-Nyquist sampling techniques;
• Dissemination of research in internal and external publications and presentations;
• Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.

Qualifications

• A doctoral degree in Applied Mathematics, Electrical Engineering, Computer Science, Engineering, Physics, or a related field.
• Familiarity with the theory of mathematical inverse problems, forward modeling with differential equations, and a basic understanding of signal processing.
• Experience with Matlab and/or Python for scientific computing.
• Experience analyzing datasets of measured physical data.
• Strong oral and written communication skills.

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Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
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