Higher / Senior Scientist in Quantum Computing and Machine Learning

NPL; Teddington; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading quantum technology organization in Teddington is hiring Higher / Senior Scientists to join their Quantum Software & Modelling team. The role involves pioneering research to develop quantum computing algorithms, AI approaches for automation, and studying physical mechanisms affecting qubits. Candidates will collaborate with both experimental teams and renowned institutions. Suitable applicants will have a background in quantum computing or related fields, ensuring they contribute effectively to cutting-edge projects that aim to establish an accessible UK-based quantum computer.

Qualifications

• Experience in quantum computing or related fields is essential.
• Familiarity with algorithms applicable to materials science and AI will be advantageous.

Responsibilities

• Develop quantum and classical computing algorithms for various applications.
• Create machine learning methods for automation in quantum technologies.
• Research physical decoherence mechanisms in qubits.
• Analyze the impact of noise on quantum algorithms.

Job description

We are hiring Higher / Senior Scientists to join NPL’s Quantum Software & Modelling team in the Quantum TechnologiesDepartment . As w e are recruiting across different levels , we will consider applications from candidates with varied experience. Offer and salary will depend on experience.

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