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Australia, Sydney

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Posted 106 days ago

Senior Scientist, Quantum Sensing (Magnetometry Control)

🏢 Q-CTRL

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Role Type

🧪 Scientist / Researcher

Role Focus

📈 Apply Quantum

Seniority

🌿 Experienced

🌸 PhD / Postdoc

🌳 Senior / Lead

Employer Type

🏢 Industry

This Senior Scientist role focuses on developing next-generation, high-performance quantum magnetometers designed for challenging field environments. The position requires applying quantum control techniques, software protocols, and advanced statistical filtering to significantly improve sensor sensitivity and robustness against noise. The scientist will develop algorithms and data analytics, ensuring their real-world effectiveness by testing them on deployed quantum sensing platforms.

Key Responsibilities

Develop quantum control algorithms to enhance the sensitivity and robustness of optically pumped magnetometers.

Implement statistical techniques, such as Kalman and particle filters, to improve sensor sensitivity and effectively eliminate noise.

Conduct time series analysis and develop noise compensation techniques using digital signal processing and machine learning methods.

Utilize data analytics to convert quantum sensor data streams into actionable capabilities for current and prospective customers.

Develop, document, and review high-quality software primarily using Python.

Communicate research insights and results to internal teams, external stakeholders, and customers via presentations and publications.

Required Skills

A PhD (or equivalent industry experience) in Physics, Engineering, or a closely related discipline.

Experience in theory, numerical modeling, or optimization related to atomic spin ensembles or quantum sensing in warm atomic vapours.

Experience with pulse-level optimization and quantum control techniques.

Knowledge of statistical techniques like Kalman and particle filtering.

Experience in time and frequency digital signal processing, such as adaptive filtering.

Experience contributing to multi-component software system architectures following best-practice development precepts.

Nice-to-have Skills

Expertise with Python programming language for scientific computing.

Experience with version control technologies like Git and CI/CD pipelines.

Experience modeling real quantum experiments or hardware.

Demonstrated experience improving experimental outcomes using novel signal processing or denoising algorithms.

Technology Tags

Magnetometers

The job title and entire description revolve around developing and controlling next-generation quantum magnetometers.

Control algorithms

The central purpose of the role is developing novel software-layer control protocols and quantum control algorithms to improve magnetometer performance.

Signal processing

The role involves applying state-of-the-art digital signal processing (DSP) methods like adaptive and Kalman filtering.

Atomic Physics

The role focuses on developing control protocols for optically pumped atomic magnetometers and requires experience with atomic spin ensembles.

Python

Expertise and experience with Python programming language for scientific computing is ideally required for the role.

Noise analysis

A core responsibility is performing time series analysis and developing platform and environmental noise compensation techniques.

Navigation

The team performs research in quantum sensing and quantum-enabled navigation, indicating a primary application area.

Source Job Description

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 modelling, and modern Bayesian estimation and signal processing techniques.

The Quantum Sensing Research and Quantum Sensing Engineering 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

The purpose of this role is to help develop next-generation small-form-factor quantum magnetometers that are exquisitely sensitive, ultrastable, and able to operate reliably in harsh fielded environments. A key part of this role is to use the techniques of quantum control to improve the sensitivity and robustness of magnetometers. This will involve developing novel software-layer control protocols and operating modes for optically pumped atomic magnetometers, as well as advanced statistical filtering techniques, in order to deliver step-change performance improvements in noisy operating conditions.

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 – you will be taking your code and algorithms, applying them to actual, field-deployed platforms, and working to make them effective.

Additionally, you will contribute to the efficient and effective functioning of Q-CTRL. This will sometimes include helping out regardless of boundaries of responsibility to help us achieve our mission of making quantum technology useful.

What you'll be doing:

Be part of an established and growing team focused on quantum sensing for a variety of industry sectors such as aerospace, defence, geophysical exploration and Earth observation.

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.

Use data analytics to translate quantum sensor data streams into capabilities that solve pressing challenges for current and prospective end-users and customers.

Develop, document, and review high-quality software using Python.

Share your insights and results 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).

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 in the theory, numerical modelling, and/or optimization 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.

Experience in time and frequency digital signal processing, e.g. adaptive filtering, Kalman filtering.

Contributing to a software system architecture with multiple components developed by different teams, adhering to best-practice software development precepts.

Bonus points if you have (but not essential):

Expertise with Python programming language for scientific computing.

Experience with version control e.g. Git with CI/CD pipelines.

Experience modelling real quantum experiments/hardware and working closely with both theoretical and experimental teams.

Demonstrated experience in improving experimental outcomes through novel signal processing or denoising algorithms.

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