政治传播与民主的计算分析博士研究员
Computational analysis of political communication and democracy
原帖优先：申请材料、截止时间与资格以原帖和学校官方说明为准。
博士招生与资助公告
- 申请年度
- 2027；原帖说明：How to apply Apply now You need to: • choose programme type (Research), 2027/28, Faculty of Engineering and Physical Sciences • select Full time or Part time • search for programme PhD Web Science (7091) • add name of the supervisor in section 2 of the application Applications should include: • your CV (resumé) • 2 academic references • degree transcripts and certificates to date • English language qualification (if applicable)
- 最近申请截止
- 2027-07-01
- 全部申请截止
- （Europe/London）
- 资助原文
- Fees and funding Due to funding limits, only UK and EU-based candidates are invited to apply. Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students. Competition-based Presidential Bursaries from the University cover the difference between overseas and UK fees for top-ranked applicants. Competition-based studentships offered by our schools typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants. Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered. For more information, please visit our postgraduate research funding pages.
- 资助条件
- 原帖为竞争性或附条件资助说明，未确认本项目获资助及申请人能获奖；不作为保证全奖。
- 原帖材料说明
- • your CV (resumé)
- • 2 academic references
- • degree transcripts and certificates to date
- • English language qualification (if applicable)
确定性信息来自对应版本的完整原帖。原帖只提供日期，日末和学校当地时区为本站转换假设。筛选使用最后申请截止；资助与录取以学校审核结果为准。
AI 中文速览
- 研究内容
- 该博士项目运用计算社会学研究政治话语、公众舆论和民主参与，结合文本、语音、社交媒体、调查或多模态政治传播数据，开发和评估计算方法。研究方向包括分析公众辩论中的论点与证据、衡量两极分化或审议、评估大型语言模型在政治语境中的应用等。
- 申请条件
- 申请者必须持有英国 2:1 荣誉学士学位或国际同等学历，专业背景包括政治科学、计算社会学、数据科学、计算机科学、网络科学或其他相关学科，并需具备量化或计算研究经验。
- 待遇
- 竞争性奖学金通常涵盖英国本土学费以及用于生活成本的生活津贴，同时提供跨学科培训、教学经验及专业发展支持。
- 申请方式
- 申请者需通过南安普顿大学系统申请 2027/28 学年工学院与物理科学学院的 PhD Web Science（7091）全日制或兼职项目，并在申请表第二部分添加导师姓名。
- 材料清单
- 个人简历 (CV)
- 2封学术推荐信
- 迄今为止的学位成绩单和证书
- 英语语言资格证明（如适用）
由 gemini-2.5-flash-lite 生成，博士岗判定置信度 100%。
岗位信息
- 最终轮次截止
- 2027-07-01
- 学科
- 社会科学
- 合同类型
- 项目资助
- 本站收录
- 内容更新
- 原帖导师候选（待核验）
- Dr Rafael Mestre, Professor Matt Ryan
- 来源
- 南安普顿大学博士研究项目招生 · 最近核对 2026-10-24
- 详情核验
判定依据（原文摘录）
- english_ok
English language qualification (if applicable)
- bachelor_ok
You must have a UK 2:1 honours degree, or its international equivalent
原文
View all current projects
Postgraduate research project
Computational analysis of political communication and democracy
Funding
Competition funded
Competition funded
View fees and funding
Type of degree
Doctor of Philosophy
Entry requirements
2:1 UK honours degree
2:1 UK honours degree
View full entry requirements
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date
1 Jul 2027
On this page
About the project
Potential supervisors
Entry requirements
Fees and funding
How to apply
Contact us
About the project
Potential supervisors
Entry requirements
Fees and funding
How to apply
Contact us
About the project
This PhD uses computational social science to study political discourse, public opinion, and democratic participation. You may combine text-as-data, surveys, experiments, social media, audio, or other digital data, developing a project around your substantive interests while gaining advanced quantitative and computational skills in an interdisciplinary research environment.
Digital platforms, political debates, public consultations, and democratic innovations generate data about how people communicate, form opinions, and participate in collective decisions. Yet computational methods do not provide neutral measurements: researchers must decide what can be inferred from political communication, how methods should be validated, and how computational findings connect to social-science questions.
In this PhD, you will develop and evaluate computational approaches to political discourse, argumentation, public opinion, or democratic participation. You could work with text, speech, social media, surveys, consultation data, or multimodal political communication. Methods may include natural language processing, large language models, audio-as-data, network analysis, computational experiments, crowdsourced annotation, and mixed-method evaluation.
You will have flexibility to shape the research question, data, and methodological contribution. Directions include analysing arguments and evidence in public debate; measuring polarisation, deliberation, or communication style; examining how digital platforms structure participation; evaluating large language models in political contexts; or designing AI systems that support, structure, or moderate democratic participation.
The project may contribute methods, datasets, evaluation frameworks, or evidence about interactions between computational systems and society, drawing on Web Science, Computer Science, Political Science, and related disciplines.
Aligned with Rebooting Democracy, the project builds on research in multimodal political analysis, public reasoning, and AI-facilitated deliberation. You will work across computer science and political science, developing computational skills alongside research design, interpretation, and methodological judgement.
You will receive interdisciplinary training in computational social science, research design, quantitative and qualitative methods, responsible data use, and reproducible research.
Depending on the project, training may include Python or R, natural language processing, machine learning, survey and experimental methods, audio or multimodal analysis, and mixed-method evaluation.
You will join the University of Southampton’s School of Electronics and Computer Science, ranked 12th in the UK for Computer Science in the Complete University Guide 2027, and connect with interdisciplinary research communities through the Web Science Institute, the Centre for Democratic Futures, and Politics and International Relations.
Professional-development opportunities may include teaching experience, engagement with the Alan Turing Institute and Responsible AI UK, and support from Future Worlds to explore the commercial potential of your research.
The School of Electronics & Computer Science is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.
Potential supervisors
Lead supervisor
Dr Rafael Mestre
PhD, MSc, BSc
Lecturer
Research interests
• Emerging technologies
• Multimodal AI
• Applied and responsible AI
Supervisors
Professor Matt Ryan
Professor
Research interests
• Democracy
• Social Research Methods
• Web Science
Entry requirements
You must have a UK 2:1 honours degree, or its international equivalent in one of the following:
• political science
• computational social science
• data science
• computer science
• web science
• or another relevant discipline
Essential skills:
• evidence of quantitative or computational research experience
Desirable skills (applicants are not expected to have all of these skills):
• practical experience with Python or R
• statistical analysis
• natural language processing
• machine learning
• surveys, experiments, or digital research methods
The project is particularly suited to candidates who can connect computational methods to substantive social-science questions and are willing to work across disciplinary boundaries.
Due to funding limits, only UK and EU-based candidates are invited to apply.
Fees and funding
Due to funding limits, only UK and EU-based candidates are invited to apply.
Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students.
Competition-based Presidential Bursaries from the University cover the difference between overseas and UK fees for top-ranked applicants.
Competition-based studentships offered by our schools typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants.
Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.
For more information, please visit our postgraduate research funding pages.
How to apply
Apply now
You need to:
• choose programme type (Research), 2027/28, Faculty of Engineering and Physical Sciences
• select Full time or Part time
• search for programme PhD Web Science (7091)
• add name of the supervisor in section 2 of the application
Applications should include:
• your CV (resumé)
• 2 academic references
• degree transcripts and certificates to date
• English language qualification (if applicable)
Contact us
Faculty of Engineering and Physical Sciences
If you have a general question, email our Doctoral College (doctoralcollege-admissions@soton.ac.uk).
Project leader
For an initial conversation, email Dr Rafael Mestre (r.mestre@soton.ac.uk).