Support integration of the previously developed tools and software to provide free space calibration of the raw frequency data provided by the Pacific Northwest National Laboratory (PNNL) AIT
Refine previously developed IDX software algorithms to automatically extract the real and imaginary permittivity and possibly thickness from a low loss anomaly
Refine previously developed IDX software algorithms to automatically extract the real and imaginary permittivity from a high loss anomaly
Refine previously developed IDX software to automatically identify a cellphone, leather wallet, boarding pass, or fold of skin that an AIT ATR would identify as an anomaly
Support production of final report containing all measurement techniques, hardware, software, and calculations.
Support software unit testing and system testing as needed
Qualifications
A bachelor’s degree in a related field (i.e., Electrical Engineering, Computer Engineering, Data Science, Computer Science) from an accredited college or university and 9 years of experience; or a Master’s Degree in a from an accredited college or university with 3 or more years of experience in experimental or applied science OR a Ph.D. degree from an accredited college or university. Must have at least 2 or more years of post-graduate experience
• Knowledge and experience in modeling and algorithm development,
• Knowledge and experience in the use of compiled programming languages, computer
programming engineering, Mathematica, MATLAB, and/or COMSOL. • Knowledge and experience in Millimeter Wave (MMW) or Radar Imaging Technology, RF, or related fields.
• Experience developing advanced algorithms using digital signal processing techniques.
• Strong background in mathematics and ability to translate mathematical techniques in literature to code.
• Sole US Citizenship with eligibility and willingness to obtain and maintain a DOD Secret Security Clearance and to obtain DHS Suitability.
• Strong oral and written communication skills.
Highly motivated and self-starter with a strong desire to learn