面向类脑计算应用的材料与器件博士研究员
Materials and devices for neuromorphic computing applications
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
- 2027-08-31
- 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
- 本项目将探索新型纳米结构材料和器件架构，利用新兴半导体实现具有大幅提升能效的类脑计算，涉及忆阻传感、学习与计算的研究。
- 申请条件
- 申请人需持有物理科学、工程学、电子学、神经科学、生物工程或相关学科的英国2:1荣誉学位或国际同等学历；欧盟及海外申请者雅思需达到6.5分且各单项不低于6.0分。
- 待遇
- 学校为英国本土及国际学生提供一系列资助机会，包括地平线欧洲学费减免、竞争性总统奖学金以及涵盖学费和生活津贴的竞争性学生资助项目。
- 申请方式
- 申请人需通过学校系统选择研究型项目（2027/28学年，工程与物理科学学院），选择全日制或兼职，搜索PhD Electronic & Electrical Engineering (7092)专业，并在申请的第二部分添加导师姓名。
- 材料清单
- 研究计划（research proposal）
- 简历（CV (resumé)）
- 2份学术推荐信（2 academic references）
- 迄今为止的学位成绩单与证书（degree transcripts and certificates to date）
- 英语语言资格证明（如适用）（English language qualification (if applicable)）
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
- 2027-08-31
- 学科
- 材料科学
- 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）
- Dimitra Georgiadou
- 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）
- is_phd
Type of degree Doctor of Philosophy
- english_ok
EU and Overseas applicants should achieve an IELTS score of 6.5 with at least 6.0 in each competency.
- bachelor_ok
A UK 2:1 honours degree, or its international equivalent, in one of the following:
原文
View all current projects
Postgraduate research project
Materials and devices for neuromorphic computing applications
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 Aug 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
Artificial intelligence is transforming society but comes with a growing energy and carbon cost. This project will explore new nanostructured materials and device architectures that can deliver brain-inspired computing with radically improved energy efficiency.
You will design and fabricate nanoscale neural elements using emerging semiconductors, such as 2D materials, redox-active molecules, perovskites, ferroelectric polymers, and hybrid organic–inorganic systems, exploring their potential for in-memory sensing, learning, and computation. By integrating these materials into scalable device arrays, the project aims to create neuromorphic systems capable of energy-efficient information processing.
Working within a multidisciplinary environment, you will collaborate with researchers across electronics, photonics, device physics and materials science to advance the next generation of green intelligence technologies, bridging materials innovation and sustainable AI architectures.
You will join the multi-disciplinary Flexible Nanoelectronics Lab, work at the world-class labs of the Optoelectronics Research Centre (ORC), while you will have the opportunity to build connections with UK and European research partners by being affiliated also with the UK Multidisciplinary Centre for Neuromorphic Computing – NeuroSYNC and the Centre for Neuromorphic Technologies - CeNT. Additionally, you will be encouraged to attend major conferences, sharing your work and networking with leading experts.
The outcomes of your research can have various applications, such as Internet of Things and edge computing, AI, artificial vision, high density data storage for wearable devices, and many others.
This project is a chance to contribute to emerging technologies with the potential to revolutionise data processing and computing, while gaining skills, recognition, and experience that will position you as a leader in the field of nanoelectronics and brain-inspired memory technology.
The project provides hands-on training in materials deposition in films, device nano-fabrication, optoelectronic device engineering, and photonic system integration, with access to advanced cleanroom facilities and state-of-the-art optical characterisation tools. You will gain interdisciplinary skills spanning materials science, nanotechnology, photonics, and neuromorphic computing, positioning them for careers at the forefront of brain-inspired technologies and AI hardware.
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 Dimitra Georgiadou
PhD FHEA MRSC
Professor
Research interests
• photonic synapses for neuromorphic computing and AI hardware
• photoelectric memories for in-memory sensing and computing
• green manufacturing of flexible nanoelectronic devices
Entry requirements
A UK 2:1 honours degree, or its international equivalent, in one of the following:
• physical sciences
• engineering
• electronics
• neuroscience
• bioengineering
• or a relevant subject
Students should have an interest in multidisciplinary research, and an aptitude for data analytics.
Academic attainment is only one of our criteria for selection; we equally value the ability to work in teams, excitement for research, enthusiasm for the research project and the ability to communicate ideas effectively.
EU and Overseas applicants should achieve an IELTS score of 6.5 with at least 6.0 in each competency.
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 Professor Dimitra Georgiadou (d.georgiadou@soton.ac.uk).