FSE Bicentenary: New Frontiers for Atomic Imaging of Quantum Materials (PhD) The University of Manchester in United Kingdom

This PhD project at The University of Manchester, titled 'New Frontiers for Atomic Imaging of Quantum Materials', aims to revolutionize the atomic-scale characterization of quantum materials using advanced transmission electron microscopy (TEM) combined with deep/machine learning (DL/ML) and human vision approaches. The research will focus on developing automatic, quantitative, and statistically representative imaging methods to analyze local structure, composition, and bonding with atomic resolution across millimeter-scale areas in semiconductor systems.

One of the central challenges addressed is the deterministic doping of isotopically selected single impurity ions into materials such as isotopically enriched silicon, SiGe, diamond, and 2D materials. This is crucial for the advancement of spin and photonic-based quantum technologies. Current optical methods can locate single atom qubits in semiconductors to a spatial resolution of 1μm but cannot probe their local atomic environment. TEM is the only technique capable of characterizing these buried defect sites, but it is currently manual and labor-intensive, requiring millions of atomic images to find specific features. This limitation has hindered the understanding and optimization of qubit defects.

The project will overcome these challenges by developing advanced TEM imaging approaches powered by DL/ML control. Automation, high-speed event-responsive scanning, and DL feature identification will enable the automatic location and imaging of point defects in semiconductor crystals at the atomic scale. Once defect features are identified, electron energy loss spectroscopy will be used for full characterization and manipulation of the local bonding environment. This world-first capability will unlock the reliable production of large arrays of isotopically selected ions, forming the basis for fully error-corrected quantum computers.

The successful candidate will gain expertise in materials for quantum technologies, TEM instrumentation, DL/ML methods, and semiconductor physics, preparing for a future as an independent researcher. The project is supervised by Professors S Haigh and R Curry in the Department of Materials. Funding includes full tuition fees, a UKRI minimum annual stipend (£20,780), and a research training support grant of up to £5,000 per year for four years.

Applicants should hold an upper second-class (2:1) honours degree in a relevant discipline or a 2:1 honours degree plus a Master’s at merit in a relevant field. The University of Manchester values diversity and inclusion, encouraging applications from all backgrounds and offering flexible study arrangements. Applications are accepted year-round, but early submission is recommended as the advert may be removed before the deadline.

To apply, complete the formal application via the online portal, specifying the project name, supervisor(s), previous study details, and two referees. A personal statement and CV are required. Contacting the supervisors before applying is strongly recommended.