Research Fellow in Quantum Simulation and Tensor Networks

UCL
London
Yesterday
£44,861 – £55,099 pa

Salary

£44,861 – £55,099 pa

Job Type
Contract
Work Pattern
Full-time
Seniority
Entry
Education
Phd
Posted
9 Nov 2026 (Yesterday)

About us

We are recruiting a postdoctoral researcher to join a major UK research programme exploring the interface between fundamental physics, tensor networks and quantum computation. Led from UCL, the EPSRC-funded programme grant Fundamental Science in the Age of Quantum Computation (FSQ) brings together researchers from Cambridge (Prof A Lamacraft and Prof F Verstraete), Leeds (Prof Z Papic), Nottingham (Dr A Gammon-Smith), Oxford (Dr N Chepiga, Prof A Daley and Dr C von Keyserlingk) and UCL (Prof A G Green), alongside an extensive network of international academic and industrial partners. Our research will develop and apply tensor network methods to investigate quantum and classical systems, deploying them on both classical and quantum hardware. A central goal is to advance our understanding of the boundary between quantum and classical computation, and the implications for fundamental physics.

About the role

Successful candidates will be based in the group of Prof Andrew G Green in the London Centre for Nano and Quantum at UCL They will join a closely connected research community, with opportunities for collaboration across institutions, interaction with international partners, and research secondments within the UK and overseas. We welcome applications from candidates with backgrounds in quantum many-body physics, quantum information, statistical mechanics and related areas

This role is fixed-term for two years, with the possibility of an extension subject to funding.

About you

The successful applicant should have or have submitted their thesis towards a higher degree qualification (PhD) or equivalent in Quantum Physics or a related discipline. They will have a proven track record of proposing research in a relevant area of science, pursuing it to a conclusion and publishing the results.

Customer advert reference: B04-08068

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