连续情感控制生成式AI博士研究员
Continuous affective control for generative AI
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 Electronic & Electrical Engineering (7092) • add name of the supervisor in section 2 of the application Applications should include: • research proposal • your CV (resumé) • 2 academic references • degree transcripts and certificates to date • English language qualification (if applicable)
- 最近申请截止
- 2027-10-31
- 全部申请截止
- （Europe/London）
- 资助原文
- Fees and funding We offer a range of funding opportunities for both UK and international students. 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
- • research proposal
- • 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
- 该博士项目旨在开发下一代生成式AI，实现图像中情感表达的连续、可靠控制，结合创意AI、计算机视觉和以人为中心的评估，探索更丰富的的情感表示和上下文感知控制。
- 申请条件
- 申请人需持有计算机科学、工程学、数学或相关学科的英国2:1荣誉学士学位或国际同等学历。
- 待遇
- 提供竞争性资助机会（如学校的总统奖学金、学院奖学金等），通常涵盖英国标准学费及生活成本津贴，地处南安普顿大学视觉、学习与控制（VLC）研究小组，提供跨学科环境。
- 申请方式
- 申请人需通过南安普顿大学系统在线申请，选择研究型项目（2027/28学年，工程与物理科学学院），全职或兼职，搜索PhD Electronic & Electrical Engineering（7092）项目，并在申请第二部分添加导师姓名。
- 材料清单
- 研究计划
- 简历
- 2封学术推荐信
- 迄今为止的学位成绩单与证书
- 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
- 2027-10-31
- 学科
- 计算机科学
- 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）
- Zhiwu Huang
- 来源
- 南安普顿大学博士研究项目招生 · 最近核对 2026-10-17
- 详情核验
判定依据（原文摘录）
- is_phd
This PhD will develop next-generation generative AI that enables continuous, reliable control of emotional expression in images.
- english_ok
English language qualification (if applicable)
原文
View all current projects
Postgraduate research project
Continuous affective control for generative AI
Funding
Competition funded
Competition funded
View fees and funding
Type of degree
Doctor of Philosophy
Entry requirements
2:1 honours degree
2:1 honours degree
View full entry requirements
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date
31 Oct 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
How can AI create images that express emotion as naturally and flexibly as people do? This PhD will develop next-generation generative AI that enables continuous, reliable control of emotional expression in images. Building on our NeurIPS research, it combines creative AI, computer vision, and human-centred evaluation for broad real-world impact.
Generative AI can produce remarkable images, yet it offers little reliable control over their emotional meaning. Current systems can follow prompts such as “happy” or “sad”, but cannot smoothly and consistently adjust emotion while preserving identity, image quality, and artistic style. This PhD will address this challenge by developing methods for continuous affective control in image-generation and editing models.
Building on our NeurIPS 2026 paper, Barycentric Guidance: Turning Foundation Image Editors into Continuous Affective Controllers, the project will investigate richer emotional representations and context-aware controls for people, animals, illustrations, artworks, and potentially video. The student will develop training-free and learning-based methods with diffusion and foundation models, evaluating them through computational measures and human-centred studies.
The outcome will be generative AI that enables creators and users to shape emotional expression with greater precision, safety, and transparency. This matters for creative media, digital wellbeing, education, entertainment, and more natural human–AI interaction. The project sits within the Vision, Learning and Control (VLC) research group at the University of Southampton, offering an interdisciplinary environment and expertise in machine learning, computer vision, affective computing, and responsible AI.
You will gain advanced skills in Python, deep learning, generative AI, experimental design, user studies, and open-source research.
The School of Electronics and 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 Zhiwu Huang
Lecturer
Research interests
• Computer Vision
• Machine Learning
• Generative AI
Entry requirements
A UK 2:1 honours degree, or its international equivalent, in one of the following:
• computer science
• engineering
• mathematics
• or a related discipline
Fees and funding
We offer a range of funding opportunities for both UK and international students. 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 Electronic & Electrical Engineering (7092)
• add name of the supervisor in section 2 of the application
Applications should include:
• research proposal
• 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
For questions about applying, email our Doctoral College (doctoralcollege-admissions@soton.ac.uk).
Project leader
For an initial conversation, email Dr Zhiwu Huang (Zhiwu.Huang@soton.ac.uk)