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Senior Scientist, Quantum Sensing (Modeling and Control)
📜 Description
- Develop quantum control algorithms and software-layer controls for optically pumped magnetometers.
- Apply statistical filtering, including Kalman and particle filters, to improve sensitivity and reduce noise.
- Analyze time series and develop platform and environmental noise-compensation methods using digital signal processing and machine learning.
- Simulate atomic systems to explain and guide experiments.
- Develop, document, and review software in Python, and collaborate across sensing teams.
- Present and document findings for colleagues, external stakeholders, and customers, including through publications and technical reports.
🛠️ Requirements
- Expertise with Python programming language for scientific computing.
- Experience modelling real quantum experiments/hardware and working closely with both theoretical and experimental teams.
- Experience with version control e.g. Git with CI/CD pipelines.
- Demonstrated experience in improving experimental outcomes through novel signal processing or denoising algorithms.
Full job description
To do this, you will design novel quantum control schemes and software-layer controls for optically pumped atomic magnetometers. You will also implement advanced statistical filtering techniques allowing performance improvements in noisy operating environments.
The algorithms, signal processing, and data analytics developed by you and the rest of the team will inform the design, build, and operation of our quantum sensors. In all cases, a major focus is on real-world performance in real-world environments.
What you'll be doing:
Ideally you'll have:
Bonus points if you have (but not a necessity):
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