position will perform technical work supporting the collaboration's scientific research.
Research Title:
Readout/Adaptive Control for NV-Diamond Vector Magnetometry
The work will entail:
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.
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
Qualifications
- 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.
Application Instructions
Please upload the following with your application:
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. *Your resume will not be considered if the following information is included on your CV/resume.***
- Self portraits
- Phone number
- Home address/Country
- Citizenship status
- Languages spoken
- Sex/Gender
