牛津大学、西交利物浦大学PhD奖学金项目信息!

本期为大家推荐牛津大学、西交利物浦大学2025最新奖学金介绍。

1、牛津大学

Mechanistic modelling of hydrogen-material interactions

University of Oxford|CDT in Developing National Capabilities for Materials 4.0

博导:Prof Emilio Martinez-Paneda

截止日期:全年可申

资助的博士项目(全球学生)

【博士奖学金】牛津大学、西交利物浦大学PhD奖学金项目信息!

About the Project

Oxford’s Mechanics of Materials Lab is seeking a PhD (DPhil) student to develop a new generation of mechanistic models to understand the fatigue crack initiation behaviour of metals in hydrogen environments. The project will be conducted in close collaboration with Frazer-Nash Consultancy, who are financially supporting the work.

Project Description:

Hydrogen will play a major role in decarbonising energy-intensive industries worldwide and we need to develop materials-based solutions to enable safe and reliable hydrogen adoption. This PhD project will develop new, physically-based models to better understand and predict the behaviour of metallic alloys exposed to cyclic loading and hydrogen-containing environments. Commercial or open-source finite element codes will be used to conduct coupled deformationdiffusion-fracture simulations that resolve the material physics of the rich problem which is hydrogen-assisted fatigue. There will also be opportunities to explore other Materials 4.0 approaches, such as the use of Machine Learning, and to engage or collaborate with complementary experimental work. Project findings could have a notable impact on the deployment of a green hydrogen infrastructure, as needed to achieve net zero carbon ambitions. The student will be integrated into the Mechanics of Materials Lab and will have the opportunity to interact daily with other PhD students and postdoctoral researchers working on similar topics.

Supervisor:

Emilio Martinez-Paneda (emilio.martinez-paneda@eng.ox.ac.uk)

If you are interested in this PhD, we encourage you to contact the project supervisor(s) directly.

Application Deadline:

Applications open until successful candidate is recruited (no later than Summer 2025)

Funding Notes:

This is a fully funded project, part of cohort 2 of the EPSRC CDT in Materials 4.0. CDT. The studentship covers fees (home & international), a tax-free stipend of at least £19,237 plus London allowance if applicable, and a research training support grant.

Candidates of all nationalities are welcome to apply; up to 30% of studentships across the CDT can be awarded to outstanding international applicants. Early applications from interested overseas candidates are encouraged.

The Materials 4.0 CDT is committed to Equality, Diversity and Inclusion. Five countries are represented in cohort 1. We would like to see a more gender-balanced cohort 2, so we strongly encourage applications from female candidates.

2、西交利物浦大学

Research on AI-Empowered Optimisation Scheme for Edge Intelligent IRS-Aided Space-Air-Ground Integrated Network

Xi’an Jiaotong-Liverpool University | School of Internet of Things

博导:Dr Bintao Hu

截止日期:全年可申

资助的博士项目(全球学生)

About the Project

Intelligent reflecting surfaces (IRS) are an enabling technology for engineering radio signal propagation in wireless networks. They have the ability to dynamically tune signal reflection using low-cost passive reflecting units, thereby enhancing communication network performance. Consequently, it is anticipated that the novel IRS-aided space-air-ground integrated networks (SAGINs), when coupled with edge intelligence technology, will hold significant promise for cost-effectively achieving sustainable capacity growth in the future. Despite its immense potential, several new challenges must be addressed for the efficient integration of IRS into wireless networks, including reflection optimization, channel estimation, and user privacy-preserving issues. In this project, we aim to propose an IRS-aided SAGIN and investigate the development of its reflection and channel models, resource management, and privacy concerns based on MADDPG, which will be available for IoT applications.

For more information about doctoral scholarship and PhD programme at Xi’an Jiaotong-Liverpool University (XJTLU), please visit:

  • https://www.xjtlu.edu.cn/en/admissions/global/entry-requirements/
  • https://www.xjtlu.edu.cn/en/admissions/global/fees-and-scholarship

Supervisors:

  • Principal supervisor: Dr Bintao Hu (XJTLU)
  • Co-supervisor: Dr Wei Chen (XJTLU)
  • Co-supervisor: Dr Miguel Lopez-Benitez (UoL)
  • Co-supervisor: Dr Jianbo Du (XUPT)

Requirements:

The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in Wireless communication, Communication signal processing, Telecommunications, Electrical, Electronic and Computer Engineering, Machine/Deep Learning, etc.

Evidence of good spoken and written English is essential. The candidate should have an IELTS score of 6.5 or above, if the first language is not English. This position is open to all qualified candidates irrespective of nationality.

Degree:

The student will be awarded a PhD degree from the University of Liverpool (UK) upon successful completion of the program.

Funding:

The PhD studentship is available for three years subject to satisfactory progress by the student. The award covers tuition fees for three years (currently equivalent to RMB 99,000 per annum). It also provides up to RMB 16,500 to allow participation at international conferences during the period of the award. The scholarship holder is expected to carry out the major part of his or her research at XJTLU in Suzhou, China. However, he or she is eligible for a research study visit to the University of Liverpool up to six months, if this is required by the project.

How to Apply:

Interested applicants are advised to emailBintao.Hu@xjtlu.edu.cn(XJTLU principal supervisor’s email address) the following documents for initial review and assessment (please put the project title in the subject line).

  • CV
  • Two formal reference letters
  • Personal statement outlining your interest in the position
  • Certificates of English language qualifications (IELTS or equivalent)
  • Full academic transcripts in both Chinese and English (for international students, only the English version is required)
  • Verified certificates of education qualifications in both Chinese and English (for international students, only the English version is required)
  • PDF copy of Master Degree dissertation (or an equivalent writing sample) and examiners reports available

Contact:

Please emailBintao.Hu@xjtlu.edu.cn(XJTLU principal supervisor’s email address) with a subject line of the PhD project title.

The principal supervisor’s profile is linked here:

https://scholar.xjtlu.edu.cn/en/persons/BintaoHu

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