Phasecraft is the quantum algorithms company. We are building the mathematical foundations for quantum computing applications that solve real-world problems. Founded in 2019 by Toby Cubitt, Ashley Montanaro and John Morton, we are based in London and Bristol. In 2023 we completed a £13m Series A funding round led by leading Silicon Valley deep tech VC, Playground Global.

Phasecraft’s unprecedented access to today’s best quantum computers – through partnerships with Google, IBM, and Rigetti – provides us with unique opportunities to develop foundational IP, inform the development of next-generation quantum hardware, and accelerate commercialisation of high-value breakthroughs.

We are looking to hire a quantum computational materials scientist to join our team. The ideal candidate will have demonstrable experience in the theory and/or implementation of quantum simulation techniques such as DMRG, DMET, DMFT, DFT, etc. for accurate and efficient simulation of materials and their properties; or otherwise strong evidence of potential to contribute to these areas. Their work will initially focus on these topics, though they will have the opportunity to grow a portfolio of research activity across the breadth of Phasecraft’s interests. A background in quantum computing is desirable though not necessarily required.

Job Description

• Develop and implement modern quantum simulation techniques adapted to quantum computers for accurate and efficient modelling of materials and their properties.
• Help to author publications, presentations, patent applications and similar resulting from the research.
• Collaborate with interdisciplinary teams to provide theoretical insights and to integrate computational quantum materials simulation methods with new quantum algorithms.
• Other activities as required to support the growth and success of Phasecraft

Phasecraft operates a hybrid working pattern and this role can be based either in Bristol or London, depending on the candidate.

The application can be found here

Essential criteria:

• Expertise in one or more of:
  - ab initio electronic structure methods for the simulation of materials (periodic, aperiodic or embedded techniques)
  - theory and/or implementation of beyond-DFT, post Hartree-Fock, Quantum Monte Carlo or Embedding Methods.
• Ability to work independently on research projects and to work in a team.
• Flexibility to work across different aspects of algorithms and underpinning theory.
• Flexibility to work on other tasks required to support the growth and success of the company.
• Ability to quickly integrate and apply new knowledge.

Desirable criteria:

• PhD (or soon to receive one) in (ab initio) electronic structure methods, theory and computation, Chemistry, Physics, Materials Science, or a closely related field.
• Strong programming skills in languages such as C++, Python, Fortran or Julia.
• Strong publication track-record in relevant discipline.
• Excellent problem-solving and analytical skills, with the ability to develop and apply novel computational methodologies.
• Excellent communication skills.
• Experience with computational materials & chemistry software packages.