曼彻斯特大学、西交利物浦大学PhD奖学金项目信息!

本期为大家推荐曼彻斯特大学、西交利物浦大学2025最新奖学金介绍。

1、曼彻斯特大学

Computational Legal Analysis - Classifying and Understanding Remedies in Comparative Labour Law

博导:Prof Aristea Koukiadaki, Prof Philip Leifeld, Dr R Batista-Navarro

截止日期:March 28, 2025 周五

资助的博士项目(全球学生)

About the Project

Classifying and Understanding Remedies in Comparative Labour Law (CURE) is a 5-year comparative project, originally funded by the ERC and guaranteed by UKRI,based at the Department of Law, University of Manchester and led by Professor Aristea Koukiadaki. The project sets a new intellectual agenda and direction in comparative labour law by examining the concept and function of remedial rules and institutions. The 5-year project adopts a multi-dimensional, comparative and multi-method research design to evaluate how the juridical concept of remedies has evolved across different dimensions of the employment relationship in a set of different national systems (i.e. France, Greece, Poland, Sweden and the UK). Data collection and analysis will include legal doctrinal and empirical (i.e. legal computational and qualitative) methods.

A PhD studentship is provided to work on the analytical and computational legal analytics aspects of the project, supervised by Professor Aristea Koukiadaki (Law), Professor Philip Leifeld (Social Statistics) and Dr Riza Batista-Navarro (Computer Science) at the University of Manchester. The primary focus of the PhD studentship will be to establish and implement computational and analytical techniques in the areas of discourse networks, natural language processing, computational linguistics, and machine learning for classifying text data and identifying latent variables underling legislative and judicial decision-making concerning remedial rules and institutions in labour law. They will construct and analyse datasets consisting of parliamentary corpora, legal judgments, court opinions, statutes, and other relevant documents. The ideal candidate should have an interest in the relationship between technology, law and society.

The PhD student will work with the project team, consisting of five postdoctoral scholars and another PhD student. The PhD student will be expected to develop and complete a doctoral thesis on computational legal analytics with a particular focus on labour law. The successful candidate will take part in the writing up of the results of the research and in the curation and archiving of datasets constructed for and used in the project, in both cases working in conjunction with the PI and the research team.There will be opportunities for the successful candidate to present the results of their work under the project and funding to support their participation in conferences in the UK and abroad.

Eligibility criteria

Academic entry qualification

Bachelor's (Honours) degree in a cognate subject (i.e.computer science, mathematics, engineering, ora quantitative social science or digital humanities discipline) at 2:1 or above (or overseas equivalent); and Master's degree in a relevant subject - with an overall average of 65% or above, a minimum mark of 65% in your dissertation and no mark below 55% (or overseas equivalent).

English language

International applicants must provide one of the following:

  • IELTS test minimum score - 7.0 overall, 7.0 in writing, 6.5 in other sections.
  • TOEFL (internet-based) test minimum score - 100 overall, 25 in all sections.
  • Pearson Test of English (PTE) UKVI/SELT or PTE Academic minimum score - 76 overall, 76 in writing, 70 in other sections.
  • To demonstrate you have taken an undergraduate or postgraduate degree in amajority English speaking nationwithin the last 5 years.
  • Other tests may be considered.

Desirable requirements:

  • Experience in data mining.
  • Experience of working as a legal engineer, knowledge engineer or legal technologist in a commercial or research environment.
  • Familiarity with generative language models, corpus linguistics and/or discourse network methods.

Application procedure

The application deadline will be Midnight (BST) on28/03/25. We reserve the right to close this advert earlier than the stated deadline if we identify suitable candidates that we wish to interview.We encourage early applications.

To apply for this studentship, please apply online forPhD Lawat the University of Manchester.

UnderSection 6, select ‘Yes’ to 'Are you applying for an advertised project?', insert the project title as per the top of the advert.When entering the name of the supervisor, type rather than the supervisor search function.

InSection 9, indicate your intention to apply for the CURE PhD Studentship.

The application must includeall required documents:

  • An up to date academic CV, detailing your education and qualifications; employment history; publications; and any other relevant information.
  • A copy of your Bachelor’s and Master’s academic transcript and degree certificate. If your Master’s degree is pending, please provide an interim transcript.
  • Supporting statement of a maximum of 500 words indicating why you would like to undertake this studentship and explaining how your focus, experience, and skills link to the research outlined above.
  • Example of a piece of academic writing produced by you of up to 5,000 words (you may consider submitting two shorter pieces if these deal separately with conceptual and empirical analyses). This may be an academic essay or chapter(s) from a dissertation, in which case, an abstract or introduction outlining the context/aims/research questions of the study must also be included.
  • Two academic references from individuals who can assess your suitability for PhD study and specifically relate their comments to the advertised project.

If you have any questions about the project or would like to discuss this further, please contact Dr Aristea Koukiadaki (aristea.koukiadaki@manchester.ac.uk)

Formal interviews: Interviews are expected to take place during the first week in December.

Funding Notes

This is a School of Social Sciences funded project. The award will cover Home/Overseas tuition fees and an annual maintenance stipend (£19,237 in 2024/25; 2025/26 rate TBC). The duration of this award is 3.5 years.

2、西交利物浦大学

Phenomenology of algebraic unification models describing three fermion generations

Xi'an Jiaotong-Liverpool University|School of Mathematics and Physics

博导:Assoc Prof Niels Gresnigt

截止日期:全年可申

资助的博士项目(全球学生)

About the Project

This project investigates the phenomenological predictions of algebraic unification models based on Clifford algebras, which have gained significant attention in recent years. Focusing on models that describe three generations of fermions, the research emphasizes generating testable experimental predictions in flavour physics. By connecting abstract algebraic structures with measurable observables, this work aims to advance our understanding of the Standard Model and its possible extensions, providing a framework for exploring the symmetries underlying particle physics.

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: Associate Professor Niels Gresnigt (XJTLU)
  • Co-supervisor: Professor Thijs Kouwenhoven (XJTLU)
  • Co-supervisor: Professor Martin Gorbahn (UoL)

Requirements:

The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification) in Physics, with a strong emphasis on theoretical/mathematical physics. 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) and provides a monthly stipend of 5,000 RMB as a contribution to living expenses. It also provides up to RMB 16,500 to allow participation at international conferences during the period of the award. It is a condition of the award that holders of XJTLU PhD scholarships carry out 300-500 hours of teaching assistance work per year. The scholarship holders are expected to conduct the majority of their research at

XJTLU in Suzhou, China. However, they may apply for a short-term research visit to the University of Liverpool if the project requires it.

How to Apply:

Interested applicants are advised to emailniels.gresnigt@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 reference letters with company/university letterhead
  • Personal statement outlining your interest in the position
  • Proof of English language proficiency (an IELTS score of 6.5 or above)
  • Verified school 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:

Informal enquiries may be addressed to Associate Professor Niels Gresnigt (niels.gresnigt @xjtlu.edu.cn), whose personal profile is linked below,

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

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