Quick overview
Job description
What you'll be doing:
- You will 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.
- Work closely with our experimental physicists, quantum control engineers, and sensor hardware specialists to implement quantum control protocols on real quantum sensor hardware.
- Assisting with development, operation and analysis of next-generation atom interferometer based quantum sensors to achieve maximum sensitivity and robustness for various applications.
- Work with the Quantum Sensing Engineering teams to reduce SWaP and increase ruggedness of lab-based systems used to operate next generation quantum sensors and prepare them for fielded environments.
- Collaborate with your colleagues in the Quantum Sensing Research Division, the Quantum Sensing Engineering 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 in Physics, Engineering or a closely related discipline.
- Experimental experience developing and operating cold-atom interferometry hardware.
- Knowledge of handling systematics and optimal signal extraction from atom interferometers.
- Experience in quantum sensor operation, automation and data fusion.
- 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.
Bonus points if you have (but not essential):
- Experience operating atom interferometers outside of laboratory environments in transportable or mobile configurations.
- An understanding of dominant performance limits in fieldable systems.
- Expertise with Python programming language for scientific computing.
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