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- Tasks: Develop next-gen quantum magnetometers and improve their sensitivity using advanced algorithms.
- Company: Join Q-CTRL, a leader in AI-powered quantum control software.
- Benefits: Flexible work hours, equity potential, and competitive benefits.
- Why this job: Make a real-world impact in quantum technology and push the boundaries of science.
- Qualifications: Masters in Physics or Engineering, experience in signal processing and quantum control.
- Other info: Dynamic team environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
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 Engineering teams work closely together, translating novel quantum sensing research into a useful capability and product. We are focused 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:
- Perform time series analysis and develop platform and environmental noise compensation techniques using state-of-the-art statistical signal processing.
- Use statistical techniques such as Kalman and particle filters to improve sensitivity and remove noise.
- Develop quantum control algorithms to improve the sensitivity and robustness of optically pumped magnetometers.
- 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).
- Other duties within the Employee’s skills and experience, or with reasonable training.
Ideally you’ll have:
- A masters degree (or equivalent industry experience) in Physics, Engineering or a closely related discipline.
- Experience in time and frequency digital signal processing, e.g. adaptive filtering, statistical filtering.
- Experience in the theory, numerical modeling, 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.
Bonus points if you have (but not essential):
- Microwave and RF signal conditioning experience.
- Expertise with Python programming language for scientific computing.
- Experience modeling 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.
About Q-CTRL
Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact. Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we’re hiring talent to help scale every part of the business. We work quickly to turn cutting-edge science into deployable technology.
In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field-validated quantum navigation solution for defense and industry.
At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you’re ready to help shape the future of quantum, we’d love to hear from you!
Please be advised that our communications will only come from the q-ctrl.com domain. All our active job postings are available on our company website.
To recruitment agencies, we do not accept unsolicited branded profiles and are not responsible for any fees related to unsolicited resumes.
Scientist, Quantum Sensing (Magnetometry Modeling) in Oxford employer: Q-CTRL
Contact Detail:
Q-CTRL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientist, Quantum Sensing (Magnetometry Modeling) in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the quantum sensing field, attend relevant meetups or conferences, and connect with Q-CTRL employees on LinkedIn. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or research that align with quantum sensing, create a portfolio or GitHub repository. This gives you a chance to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with statistical filtering techniques and quantum control algorithms, as these are key to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Q-CTRL team.
We think you need these skills to ace Scientist, Quantum Sensing (Magnetometry Modeling) in Oxford
Some tips for your application 🫡
Show Your Passion for Quantum Sensing: When writing your application, let us see your enthusiasm for quantum sensing and how it drives you. Share any relevant projects or experiences that highlight your interest in this cutting-edge field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our mission at Q-CTRL!
Highlight Your Technical Skills: Don’t forget to showcase your technical expertise, especially in areas like statistical filtering and Python programming. We’re looking for candidates who can hit the ground running, so make those skills stand out!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at Q-CTRL.
How to prepare for a job interview at Q-CTRL
✨Know Your Quantum Stuff
Make sure you brush up on your knowledge of quantum sensing and magnetometry. Be ready to discuss specific techniques like Kalman and particle filtering, as well as your experience with time series analysis. Showing that you understand the theoretical and practical aspects of the role will impress the interviewers.
✨Showcase Your Coding Skills
Since Python programming is a key part of the job, be prepared to talk about your past projects and how you've used Python for scientific computing. If possible, bring examples of your code or discuss algorithms you've developed. This will demonstrate your technical proficiency and problem-solving abilities.
✨Communicate Clearly
You'll need to share insights and results with various stakeholders, so practice explaining complex concepts in simple terms. Think about how you would present your findings in a verbal presentation or a written report. Clear communication can set you apart from other candidates.
✨Be Ready to Collaborate
Q-CTRL values teamwork, so be prepared to discuss how you've worked with others in the past. Highlight any experiences where you contributed to a project beyond your immediate responsibilities. This shows that you're a team player who is willing to help achieve the company's mission.
