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Johns Hopkins University is seeking a Research Associate to join the National Institute of Standards and Technology (NIST) PREP program. This role involves working on innovative frequency synthesis and phase metrology projects, requiring strong skills in RF/microwave signal analysis and FPGA development.
The ideal candidate should hold a degree in a STEM field and possess proficiency in tools like Altium Designer. The position emphasizes collaboration in scientific research and technical design.
PREP Research Associate position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience (PREP) program. NIST collaborates with academic researchers and requires that such institutions receive a PREP award. The program engages staff from a wide range of backgrounds to work on scientific research. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Advanced Low-Noise Frequency Synthesis and Phase Noise Metrology.
The work focuses on innovating low‑phase and amplitude noise frequency synthesis techniques from radio to optical frequencies and developing advanced analog and digital measurement systems for precise phase and time characterization. The project aims to create robust measurement architectures that bridge analog front‑ends and FPGA‑based digital signal processing for next‑generation atomic clocks and ultra‑low‑noise oscillators.
The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. 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 characteristics. 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.