Senior Scientist, Quantum Sensing (Applied Modelling)

Q-CTRL
Oxford
4 months ago
Applications closed

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Senior Scientist, Quantum Sensing (Applied Modelling)

Join to apply for the Senior Scientist, Quantum Sensing (Applied Modelling) role at Q-CTRL.

Q-CTRL’s Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum‑enabled navigation. The team has about 30 specialists in theoretical and experimental atomic physics, cold‑atom interferometry, navigation modelling, and modern Bayesian estimation and signal‑processing techniques. The team works closely with Quantum Sensing Engineering to translate research into useful capabilities and products, pushing the boundary of quantum sensing and ensuring real‑world impact.

What you’ll be doing:
  • Perform essential research and development into novel quantum control solutions and sensor fusion algorithms to enhance the performance of real‑world quantum sensors (including atom interferometers and magnetometers).
  • Develop theoretical models and numerical simulation tools suitable for assessing the performance of quantum sensors in real‑world environments.
  • Analyse sensor performance in realistic environments and apply optimisation and machine‑learning techniques for performance enhancement.
  • Work closely with quantum control engineers, experimental physicists, and sensor hardware specialists to deploy your developed protocols on real quantum sensor hardware.
  • Collaborate with colleagues in the Quantum Sensing (Modelling) Team, the Quantum Sensing Division, and the company more broadly.
  • Share insights into control‑augmented quantum sensing through verbal presentations and written outlets (e.g., academic publications, technical reports, blog posts).
Ideally you’ll have:
  • A PhD in Physics, Engineering or a closely related discipline.
  • Experience in the theory, numerical modelling, and/or optimisation of atom interferometry, cold/ultracold atomic systems, quantum sensing in warm atomic vapours, or pulse‑level optimisation and quantum control techniques.
  • Knowledge of denoising and signal‑processing techniques for optimally extracting signals.
  • A strong desire to work with a world‑leading team and a company building the future of the quantum technology industry.
Bonus points if you have (but not essential):
  • Expertise with Python for scientific computing.
  • Experience modelling real quantum experiments/hardware and working closely with both theoretical and experimental teams.
  • Demonstrated experience improving experimental outcomes through novel signal‑processing or denoising algorithms.
About Q-CTRL

Q-CTRL is the global leader in AI‑powered quantum control infrastructure software. Founded in 2017, the company operates globally with offices in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. In 2024 we raised US$113 million in Series B funding and delivered the first commercial quantum advantage with Ironstone Opal, a field‑validated quantum navigation solution. Q‑CTRL prioritises outcomes over hours and offers flexibility, equity potential, and competitive benefits.

We may use AI tools to support parts of the hiring process. Final hiring decisions are made by humans.

Please note that our communications will only come from the @q-ctrl.com domain. All our active job postings are available on the company website.


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