Postdoctoral researcher
The Information Technology Laboratory at the National Institute of Standards and Technology (NIST) is
seeking a highly motivated postdoctoral researcher to help build a deployable, calibration-free, SI-
traceable vector magnetometer based on diamond nitrogen-vacancy (NV) centers—technology with the
potential to enable secure, GPS-free navigation when GPS is degraded, denied, or unavailable. This is a
chance to work at NIST, where the mission is to deliver world-leading measurement science and
standards with direct national and economic impact, and to do so in a highly collaborative, well-
resourced research environment. This project sits at the intersection of quantum sensing, real-time
control, and data-driven inference. The postdoc will lead efforts on parallelized readout and real-time
adaptive control for high-sensitivity measurement of 3D magnetic fields and temperature—capabilities
needed to push magnetic navigation beyond today’s ~km-scale uncertainty toward practical, robust
performance. This position is ideal for someone excited to translate cutting-edge quantum sensing into
a field-ready instrument, while contributing to NIST’s broader effort to make next-generation navigation
and timing technologies more trustworthy, secure, and SI-linked.
Readout/Adaptive Control for NV-Diamond Vector Magnetometry
- Ph.D. in physics, computer science, or related field,
- Relevant work experience with machine learning (PyTorch) or physics and programming in
Python, - Excellent communication skills, both oral and written,
- Experience with quantum sensing/NV centers, Ramsey/ODMR control
- Experience with real-time experiment automation, estimation/inference (Bayesian/optimal
design) - Adaptive sensing, signal processing, and performance-driven algorithm–hardware co-design
- Curious mindset with a strong interest in the project.
- U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
- Developing and implementing real-time, parallel readout schemes for vector magnetometry and
thermometry using diamond NV centers - Designing and deploying adaptive measurement and control algorithms (e.g., Bayesian/adaptive
protocols) to improve sensitivity and measurement efficiency - Building and validating numerical simulations of adaptive sensing strategies, including
performance vs. computational-cost tradeoffs - Integrating adaptive algorithms with experimental hardware for multi-channel, real-time device
control and readout