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- Tasks: Join a team developing groundbreaking quantum computing algorithms and AI applications.
- Company: NPL, a leader in quantum technologies with a collaborative spirit.
- Benefits: Competitive salary, research opportunities, and collaboration with top universities and companies.
- Why this job: Be at the forefront of quantum computing and make a real difference in technology.
- Qualifications: Experience in quantum computing, machine learning, and strong analytical skills.
- Other info: Dynamic research environment with opportunities for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We are hiring a Scientist to join NPL’s Quantum Software & Modelling team in the Quantum Technologies Department. You will be a vital part of NPL’s team contributing to achieve the UK's mission to deliver an accessible UK-based quantum computer capable of running 1 trillion operations. The exciting and innovative research will be done in collaboration with experimental teams at NPL, as well as leading national and international quantum computing companies and Universities.
The research will be within the following areas:
- Development of quantum computing and classical computing algorithms and software for applications in materials science, chemistry, machine learning and AI
- Development of machine learning and other AI approaches for large scale automation and modelling of quantum technologies
- Theory and algorithms for open quantum systems to determine the physical decoherence mechanisms in qubits
- Development of methods to determine the effects of noise on quantum algorithms and quantum error correction
Scientist in Quantum Computing and Machine Learning in Tewkesbury employer: NPL
Contact Detail:
NPL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientist in Quantum Computing and Machine Learning in Tewkesbury
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantum computing and machine learning fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your passion.
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of quantum algorithms and machine learning techniques. Be ready to discuss your past projects and how they relate to the role at NPL.
✨Tip Number 3
Showcase your skills! Create a portfolio or GitHub repository with your projects related to quantum computing and AI. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Apply through our website! We want to see your application directly, so make sure to submit it through our platform. It shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Scientist in Quantum Computing and Machine Learning in Tewkesbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Scientist in Quantum Computing and Machine Learning. Highlight relevant experience, especially in quantum algorithms and machine learning, to show us you’re the perfect fit for our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantum technologies and how your skills align with our mission. We want to see your enthusiasm and creativity!
Showcase Your Projects: If you've worked on any projects related to quantum computing or AI, make sure to mention them. We love seeing practical applications of your skills, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at NPL
✨Know Your Quantum Stuff
Make sure you brush up on the latest developments in quantum computing and machine learning. Be ready to discuss specific algorithms and their applications in materials science and AI, as this will show your depth of knowledge and passion for the field.
✨Collaborate Like a Pro
Since you'll be working with experimental teams and other companies, highlight your teamwork skills. Prepare examples of past collaborations where you contributed to a project’s success, especially in interdisciplinary settings.
✨Get Technical with Algorithms
Be prepared to dive deep into the technical aspects of quantum algorithms and error correction methods. Practise explaining complex concepts in simple terms, as this will demonstrate your understanding and ability to communicate effectively.
✨Show Your Problem-Solving Skills
Think of scenarios where you've tackled challenges related to noise effects on quantum algorithms or decoherence mechanisms. Be ready to discuss your thought process and the strategies you employed to overcome these issues.
