Scientist in Quantum Computing and Machine Learning in Teddington
Scientist in Quantum Computing and Machine Learning

Scientist in Quantum Computing and Machine Learning in Teddington

Teddington Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a team developing groundbreaking quantum computing and machine learning algorithms.
  • Company: NPL, a leader in quantum technologies with a collaborative spirit.
  • Benefits: Competitive salary, diverse projects, and opportunities for research collaboration.
  • Why this job: Be at the forefront of quantum technology and make a real-world impact.
  • Qualifications: Degree in relevant fields and expertise in quantum or machine learning algorithms.
  • Other info: Exciting career growth in a dynamic research environment.

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.

Research Areas and Responsibilities

  • 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

In this role you'll develop a programme of research, commercial and academic collaborations and support any funding applications we may be undertaking as well as propose your own bids.

Qualifications

You will have a degree in one of computational physics, chemistry, mathematics, AI, data science, computer science, quantum technologies or related subjects. You will need to demonstrate expertise in at least one, and preferably more, of the following areas:

  • Development of quantum computing algorithms and software
  • Development of machine learning algorithms and software
  • Development of tensor networks algorithms and software
  • Development of algorithms and software for materials or chemistry simulations and their application
  • Development of models and software for open quantum systems
  • Developments of methods for quantum error correction
  • Development of automation algorithms and software

Legal and Other Requirements

We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain BPSS security clearance.

How to Apply

Please include a list of publications within your CV and a short covering statement describing your key research accomplishments and how your skills match the requirements. For any role specific queries, please contact careers@npl.co.uk.

Scientist in Quantum Computing and Machine Learning in Teddington employer: National Physical Laboratory

NPL is an exceptional employer for those passionate about advancing quantum technologies, offering a collaborative and innovative work environment that fosters creativity and scientific excellence. With access to cutting-edge research facilities and partnerships with leading national and international organisations, employees are provided with unique opportunities for professional growth and impactful contributions to the UK's quantum computing mission. The supportive culture at NPL encourages continuous learning and development, making it an ideal place for scientists eager to make a meaningful difference in the field.
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Contact Detail:

National Physical Laboratory Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Scientist in Quantum Computing and Machine Learning in Teddington

✨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 off your expertise.

✨Tip Number 2

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you might need to communicate with non-experts during the interview process.

✨Tip Number 3

Show your passion for quantum technologies! During interviews, share your thoughts on the future of quantum computing and how you see yourself contributing to the field. This enthusiasm can set you apart from other candidates.

✨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 our team at NPL.

We think you need these skills to ace Scientist in Quantum Computing and Machine Learning in Teddington

Quantum Computing Algorithms
Machine Learning Algorithms
Tensor Networks Algorithms
Software Development
Materials Science Simulations
Chemistry Simulations
Open Quantum Systems Modelling
Quantum Error Correction Methods
Automation Algorithms
Collaboration with Experimental Teams
Research Programme Development
Funding Application Support
Data Science
Computational Physics
AI Approaches

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your relevant experience in quantum computing and machine learning. We want to see how your skills align with the job description, so don’t be shy about showcasing your expertise!

Craft a Compelling Covering Statement: Your covering statement is your chance to shine! Keep it concise but impactful, focusing on your key research accomplishments and how they relate to the role. We love seeing passion and clarity in your writing.

List Your Publications: Don’t forget to include a list of your publications in your CV. This helps us gauge your research experience and contributions to the field. Make sure it’s up-to-date and formatted neatly!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re keen on joining our team at NPL!

How to prepare for a job interview at National Physical Laboratory

✨Know Your Stuff

Make sure you brush up on your knowledge of quantum computing and machine learning. Be ready to discuss specific algorithms you've worked on, especially in relation to materials science or AI. This shows you're not just familiar with the theory but have practical experience too.

✨Show Your Collaborative Spirit

Since this role involves working with various teams, highlight any past experiences where you've collaborated with others, especially in research settings. Talk about how you contributed to team projects and what you learned from those experiences.

✨Prepare Your Questions

Interviews are a two-way street! Prepare insightful questions about NPL’s current projects in quantum technologies and how they align with your interests. This demonstrates your enthusiasm and helps you gauge if the company is the right fit for you.

✨Highlight Your Publications

Since the job requires a list of publications, be ready to discuss them in detail. Pick a couple that best showcase your skills and relevance to the role, and explain their significance in the context of quantum computing and machine learning.

Scientist in Quantum Computing and Machine Learning in Teddington
National Physical Laboratory
Location: Teddington
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