Senior Scientist, Quantum Sensing (Modeling and Control)

Matchbox; Sydney; Sur place; AUD 120 000 - 180 000; Plein temps

Résumé du poste

Q-CTRL's Quantum Sensing Research team in Sydney is hiring to develop next-generation, small-form-factor quantum magnetometers that operate in harsh fielded environments. You will design quantum control schemes and software-layer controls for optically pumped atomic magnetometers and implement advanced statistical filtering to improve real-world performance.

You will write simulations in Python, analyze time series data, and collaborate with the Quantum Sensing Team and external stakeholders.

Qualifications

• PhD (or equivalent) in Physics, Engineering or closely related discipline.
• Experience with high-precision magnetometry.
• Experience with theory, numerical modelling and/or optimisation of atomic spin ensembles or quantum sensing.
• Knowledge of Kalman and particle filtering.
• Experience in time and frequency digital signal processing (adaptive filtering, Kalman filtering, matched filtering).
• Experience contributing to a software system architecture with multiple components developed by different teams, following best-practice software development.

Responsabilités

• Develop quantum control algorithms to improve sensitivity and robustness of optically pumped magnetometers.
• Use statistical techniques such as Kalman and particle filters to improve sensitivity and reduce noise.
• Perform time-series analysis and develop environmental noise compensation techniques using DSP and machine learning methods.
• Write simulations of atomic systems to explain and guide experiments.
• Develop, document, and review high-quality Python software.
• Collaborate with the Quantum Sensing Team, the Quantum Sensing Division, and the company more broadly.
• Share insights into control-augmented quantum sensing with internal and external stakeholders through presentations and reports.

Connaissances

High-precision magnetometry

Kalman filtering

Particle filtering

Time-series analysis

Formation

PhD in Physics, Engineering or closely related discipline

Outils

Python

Git

CI/CD

Description du poste

About the team

Q-CTRL’s Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum-enabled navigation. It is a highly dynamic team comprising approximately 30 specialists in theoretical and experimental atomic physics, cold-atom interferometry, navigation modeling, and modern Bayesian estimation and signal processing techniques.

The Quantum Sensing Research and Quantum Sensing R&D teams work closely together, translating novel quantum sensing research into a useful capability and product. We are focussed on pushing the boundary of what is possible in quantum sensing and ensuring our R&D has real-world impact.

About the role

This opportunity will focus on developing next-generation, small-form-factor quantum magnetometers that are both exquisitely sensitive and able to operate reliably in harsh fielded environments. 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:

• Develop quantum control algorithms to improve the sensitivity and robustness of optically pumped magnetometers.
• Use statistical techniques such as Kalman and particle filters to improve sensitivity and remove noise.
• Perform time series analysis and develop platform and environmental noise compensation techniques using state-of-the-art digital signal processing and machine learning methods.
• Write simulations of atomic systems to explain and guide experiments.
• Develop, document, and review high-quality software using Python.
• Collaborate with your colleagues in the Quantum Sensing Team, the Quantum Sensing Division, and the company more broadly.
• Share your insights into control-augmented quantum sensing with the broader Quantum Sensing Division, company, external stakeholders and customers through verbal presentations and written outlets (e.g. academic publications, technical reports, blog posts).
• Other duties within the Employee's skills and experience, or with reasonable training.

Ideally you'll have:

• A PhD (or equivalent industry experience) in Physics, Engineering or a closely related discipline
• Experience with high-precision magnetometery.
• Experience in the theory, numerical modelling, and/or optimisation of one or more of the following: atomic spin ensembles, quantum sensing in warm atomic vapours, pulse-level optimisation and quantum control techniques.
• Knowledge of statistical techniques such as Kalman and particle filtering, estimator theory.
• Experience in time and frequency digital signal processing, e.g. adaptive filtering, Kalman filtering, match filtering.
• Contributing to a software system architecture with multiple components developed by different teams, adhering to best-practice software development principles.

Bonus points if you have (but not a necessity):

• 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.