
Senior Applied Modelling Scientist, Quantum Sensing
- Oxford, QLD Sydney, NSW
- Permanent
- Full-time
- 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;
- 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;
- Perform essential research and development into novel quantum control solutions to enhance the performance of real-world quantum magnetometers;
- Develop novel theoretical models and numerical simulation tools suitable for assessing the performance of quantum sensors in real-world environments;
- Work closely with other Research and Engineering teams to deploy and validate your developed algorithms and sensing solutions on real quantum sensing hardware;
- 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); and
- Liaise as needed with our academic and industry partners in order to perform the above duties and support new business and product development.
- Other duties within the Employee's skills and experience, or with reasonable training.
- A PhD (or equivalent industry experience) in physics, electronic engineering, computer science, mathematics, or a closely related discipline.
- Experience in the theory, numerical modelling, and/or optimization of one or more of the following: optically-pumped magnetometry in warm atomic vapour cells; quantum atomic physical systems; atom interferometry; pulse-level optimisation and quantum control techniques, digital signal processing (e.g. adaptive filtering, phase-sensitive detection).
- 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.
- Experience communicating technical results to a wide and varied audience.
- Experience with version control e.g. Git with CI/CD pipelines.
- Finally, you will have a strong desire to work with a world leading team and a company that is fundamentally building the future of the quantum technology industry
- Experience in modern signal processing methods (e.g. Bayesian methods, particle filtering, sequential Monte Carlo methods);
- Experience with modelling geometric / gaussian optics
- Experience in sensor modelling and sensor signal processing, including data fusion
- Familiarity with the Python programming language for scientific computing.
- Familiarity with quantum and/or atomic physics at an undergraduate level.
- Experience working in a multidisciplinary team of physicists, engineers, software developers