开发用于生态瞬时评估（EMA）数据收集的有效接口以支持社区健康状况预测与治疗的博士研究员
Developing effective interfaces for Ecological Momentary Assessment (EMA) data collection to support prediction and treatment of health conditions in the community
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 Computer Science (7089) • 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
- 2027-03-31
- 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
- 本项目旨在开发新颖且无摩擦的生态瞬时评估（EMA）数据收集界面，以尽量减少干扰并最大化数据收集过程中的参与度。通过主动和被动方式捕捉各种上下文情境（如时间、地点等）下的广泛数据，开发的工具将通过行为干预进行评估，以识别高风险个体并支持及时干预。
- 申请条件
- 申请人必须持有计算机科学或软件工程专业的英国 2:1 荣誉学士学位或其国际同等学历。具备移动端开发经验是必须的，同时需要具备充满激情、富有创造力、条理清晰且具韧性、开放且好奇的个人素质。
- 待遇
- 提供竞争性资助机会，包括面向英国及国际学生的总统奖学金（Presidential Bursaries）以补齐海外与英国本土学费差额，以及各学院提供的、通常涵盖英国本土学费及生活津贴的竞争性学生资助。
- 申请方式
- 申请人需通过大学系统在线申请，选择研究型项目类型（2027/28学年，工程与物理科学学院），选择全职或兼职，搜索博士项目“PhD Computer Science (7089)”，并在申请的第二部分添加导师姓名。截止日期为2027年3月31日。
- 材料清单
- 研究计划书
- 简历
- 2封学术推荐信
- 至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
- 2027-03-31
- 学科
- 计算机科学
- 合同类型
- 项目资助
- 本站收录
- 内容更新
- 导师
- Mark Weal
- 来源
- 南安普顿大学博士研究项目招生 · 最近核对 2026-10-10
- 详情核验
判定依据（原文摘录）
- is_phd
Type of degree Doctor of Philosophy
- english_ok
English language qualification (if applicable)
- bachelor_ok
You must have a UK 2:1 honours degree, or its international equivalent, in computer science or software engineering.
原文
View all current projects
Postgraduate research project
Developing effective interfaces for Ecological Momentary Assessment (EMA) data collection to support prediction and treatment of health conditions in the community
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 Mar 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
Health technologies play important roles in earlier prediction of illness and enabling behavioural interventions to help manage conditions in the community. Ecological Momentary Assessment (EMA) provides essential data to these processes. This project will develop more frictionless interfaces to the collection of EMA data to support a range of interventions.
Health technologies play an important role in improving population health through earlier prediction of illness, enabling behavioural interventions to prevent illness and help manage conditions in the community. To achieve this we must develop technology that measures, monitors and understands disease through data, and identifies when deviations occur within an individual.
Where this takes place outside of a clinical setting, Ecological Momentary Assessments (EMAs) can provide a useful data collection approach that seeks to capture data at optimum moments, both actively and passively. This project looks to develop novel approaches to EMAs, that facilitate the capturing of a wide range of data through a range of triggering contexts such as time, location, or other contextual factors.
You'll develop frictionless interfaces to data capture to minimise intrusion and maximise engagement with the data collection processes. The developed tools will be evaluated through behavioural interventions that look to harnessing data analytics to identify at-risk individuals, support just in time intervention, and enable people to stay healthy and avoid medical complications.
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
Professor Mark Weal
Professor
Research interests
• Digital Health
• Behavioural Interventions
• Semantic Web
Entry requirements
You must have a UK 2:1 honours degree, or its international equivalent, in computer science or software engineering.
Experience with mobile development is essential.
Desirable skills:
• passionate and creative: a driven person ready to tackle challenging problems to improve the health and lives of others, innovate, and aspire to publish at the top of the field
• methodical and resilient: a strong analytical thinker dedicated to systematically approaching problems and questioning the status quo. Resilient in overcoming challenges
• open and curious: an adaptable and communicative person with a desire to continuously learn and work on an interdisciplinary research area
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 Computer Science (7089)
• 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 Professor Mark Weal (mjw@ecs.soton.ac.uk).