AI辅助振动光谱与定量生物标志物分析用于下一代癌症诊断博士研究员
AI-assisted vibrational spectroscopy and quantitative biomarker analysis for next-generation cancer diagnostics
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 ORC (7097) • 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
- 2027-06-30
- 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
- • 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
- 本项目将利用人工智能辅助的振动光谱技术，结合循环肿瘤DNA（ct-DNA）、表观遗传标记和微小RNA（miRNA）进行早期癌症检测；研究将中红外和拉曼光谱与创新的片上光子器件及机器学习相结合，旨在实现敏感、无创的生物标志物检测和精确的癌症表征。
- 申请条件
- 申请人必须持有英国2:1荣誉学位或其同等国际学历。
- 待遇
- 学校提供多种针对英国和国际学生的资助机会，竞争性学生奖学金通常涵盖英国本土学费以及生活成本津贴。
- 申请方式
- 通过官方系统在线申请，需选择项目类型为Research、2027/28学年、工程与物理科学学院（Faculty of Engineering and Physical Sciences），选择全职或兼职，搜索项目代码 PhD ORC (7097)，并在申请的第二部分添加导师姓名。
- 材料清单
- 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
- 2027-06-30
- 学科
- 生物化学、遗传与分子生物学
- 合同类型
- 项目资助
- 本站收录
- 内容更新
- 导师
- Senthil Murugan Ganapathy
- 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）
- 这是一项博士培养机会
Type of degree Doctor of Philosophy
- 申请学业背景要求
You must have a UK 2:1 honours degree or its international equivalent.
- 项目导师信息
Lead supervisor Professor Senthil Murugan Ganapathy
原文
View all current projects
Postgraduate research project
AI-assisted vibrational spectroscopy and quantitative biomarker analysis for next-generation cancer diagnostics
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
30 Jun 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 project will develop AI-assisted vibrational spectroscopy for early cancer detection using circulating tumour DNA (ct-DNA), epigenetic markers and microRNA (miRNA). Combining Mid-IR and Raman spectroscopy with innovative on-chip photonic devices and machine learning, the research aims to enable sensitive, non-invasive biomarker detection and precise cancer characterisation.
Cancer remains one of the most prevalent diseases worldwide and is associated with a high mortality rate, with only around 50% of patients surviving 10 years, largely because many cancers are diagnosed at a late stage. Although significant advances have been made in early cancer detection, current assays remain largely experimental, are often expensive, and can suffer from limited sensitivity and specificity. We have recently demonstrated that vibrational spectroscopy, including Mid-IR and Raman spectroscopy, can quantify DNA fragment lengths and epigenetic modifications, both of which are effective markers of cancer.
This project will advance cancer diagnostics using vibrational spectroscopy, with a particular focus on novel biomarkers including circulating tumour DNA (ct-DNA), epigenetic markers, and microRNA (miRNA). Using infrared and Raman spectroscopy, the project will investigate the unique vibrational profiles associated with these biomolecules in biological samples. An innovative on-chip photonic device platform that we have recently developed will be used to enhance the sensitivity and precision of biomarker detection.
The project will integrate machine learning with vibrational spectroscopy to develop computational models for the identification, classification, and prediction of cancer based on these specific biomarkers. The anticipated outcomes include a robust platform for vibrational spectroscopy-based biomarker detection, providing a significant step towards personalised cancer diagnostics through non-invasive and real-time assessment of ct-DNA, epigenetic markers, and miRNA expression. This research has the potential to transform cancer diagnosis by enabling earlier detection and more precise characterisation of cancer subtypes.
The School of Optoelectronics (ORC) 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 Senthil Murugan Ganapathy
Professor of Photonics
Research interests
• Integrated Photonic Devices;
• Point-of-Care Diagnostics;
• Energy Materials and Green Hydrogen;
Entry requirements
You must have a UK 2:1 honours degree or its international equivalent.
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 ORC (7097)
• 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
For questions about applying, email our Doctoral College (doctoralcollege-admissions@soton.ac.uk).
Project leader
For an initial conversation, email Professor Senthil Murugan Ganapathy (smg@orc.soton.ac.uk).