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RAP opportunity at National Institute of Standards and Technology     NIST

Machine Learning Driven Autonomous Metrology System


Physical Measurement Laboratory, Sensor Science Division

opportunity location
50.68.51.C0577 Gaithersburg, MD

NIST only participates in the February and August reviews.


name email phone
Zeeshan Ahmed 301.975.5875


We are developing machine learning-driven autonomous metrology research systems, with the goal of accelerating the development of self-correcting photonic and quantum sensor networks. These systems combine machine learning with machine-controlled measurement tools for closed loop experiment design, execution, and analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods. A key challenge is the integration of prior knowledge into the data analysis, including both device physics and material properties.We are primarily interested in photonic (e.g. silicon ring resonators) and quantum (NV diamond) sensor networks for thermodynamic metrology (temperature, pressure and humidity).

key words
Machine Learning; Bayesian optimization; Self-correcting; Quantum Sensors; NV diamond; Pressure; Temperature; sensor network


Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral applicants


Base Stipend Travel Allotment Supplementation
$82,764.00 $3,000.00
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