曼彻斯特大学（英国）PhD position in Neural Quantum States申请条件要求-申请方
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曼彻斯特大学（英国）
PhD直招介绍
About the Project
Two-dimensional quantum materials, in which reduced dimensionality, topology and strong electron-electron interactions can combine, are a promising platform for discovering new many-body phases. In twisted and layered van der Waals systems, these behaviours can be tuned through twist angle, strain and stacking, creating a rich landscape of potential correlated quantum phenomena. A central challenge is to build predictive discovery frameworks that connect realistic electronic structure to low-energy models, allowing robust identification of the resulting phases.
This PhD will develop an automated computational pipeline for the discovery and characterisation of correlated quantum phases in two-dimensional materials, with particular emphasis on twisted and layered heterostructures of 2D materials. The student will combine density functional theory (DFT), Wannier tight-binding models and continuum or moiré Hamiltonians to construct realistic material-specific models. The associated interacting many-body problem will then be solved using a neural quantum states (NQS) approach.
NQS are flexible variational wavefunction models in which the exponentially complex many-electron quantum state is represented compactly by a trainable neural network, making them a powerful route to scalable many-body simulation beyond conventional exact diagonalisation and mean-field approaches. The resulting pipeline will be used to predict energies, gaps, correlation functions and phase boundaries, and to rank candidate systems for phenomena such as interaction-driven insulating states, charge order, fractional Chern phases and other emergent quantum states. The broader goal is to establish a transferable discovery framework that connects ab-initio calculations, many-body simulation and automated phase identification across a wider class of low-dimensional quantum materials.
The project combines condensed-matter theory, electronic-structure modelling, machine learning and high-performance computing, and will suit applicants interested in quantum materials, many-body physics and scientific computing. It will be based at the National Graphene Institute, providing an excellent research environment at the interface of theory, computation and two-dimensional materials science. The student will benefit from close proximity to a broad community working on quantum materials, van der Waals heterostructures and advanced characterisation, with clear scope to apply the computational methods developed here in collaboration with experimental colleagues.
Equality, diversity and inclusion( https://www.manchester.ac.uk/connect/jobs/equality-diversity-inclusion/ ) is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact.
We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.
We also support applications from those returning from a career break or other roles. We consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).
曼彻斯特大学（英国） PhD position in Neural Quantum States项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
Funding
This DKO Fellowship award (3.5 years) is open to Home (UK) and overseas students. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27; subject to annual uplift), and tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2026.
We recommend that you apply early as the advert may be removed before the deadline.
曼彻斯特大学（英国）Phd申请条件和要求都有哪些？PhD position in Neural Quantum States项目是不是全奖？有没有奖学金？下面我们一起看一下曼彻斯特大学（英国）申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
Eligibility
Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.
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