忆阻器的高级建模与表征博士研究员
Advanced modelling and characterisation of memristors
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 • choose the relevant PhD Electronic & Electrical Engineering (7092) • add name of the supervisor in section 2 Applications should include: • a personal statement • your CV (resumé) • 2 academic references • degree transcripts to date
- 最近申请截止
- 2027-07-01
- 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
- • a personal statement
- • your CV (resumé)
- • 2 academic references
- • degree transcripts to date
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
- 本项目将器件仿真与电子表征及光电测量技术相结合，旨在识别基于多种材料系统（包括杂化钙钛矿、碳化硅和二氧化钒）的忆阻器件背后的电阻调制机制。研究将开发能够解释不同电阻调制机制的新器件模型，并利用模型见解设计瞬态电子和光电表征协议，在真实器件上进行测试，以确立一套能够明确识别单个忆阻器件电阻调制机制的先进表征方法。
- 申请条件
- 申请人必须持有英国 2:1 荣誉学位或其国际同等学历，专业背景包括应用数学、物理学、电子学或相关学科。
- 待遇
- 学校提供多种面向英国和国际学生的资助机会；地平线欧洲学费减免可自动为符合条件的优秀学生补足海外学费与英国学费的差额；基于竞争的总统奖学金（Presidential Bursaries）为排名靠前的申请者补足海外与英国学费差额；各学院提供的竞争性奖学金通常涵盖英国本土水平的学费以及生活费津贴。
- 申请方式
- 申请人需通过南安普顿大学系统申请：选择项目类型为 Research（2027/28学年，工程与物理科学学院），选择全职或兼职，选择相关的 PhD Electronic & Electrical Engineering (7092)，并在第2部分添加导师姓名。资助以滚动方式颁发，建议尽早申请。联系邮箱：doctoralcollege-admissions@soton.ac.uk；项目负责人邮箱：D.Georgiadou@soton.ac.uk。
- 材料清单
- 个人陈述
- 简历
- 2封学术推荐信
- 迄今为止的学位成绩单
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
- 工程
- 合同类型
- 项目资助
- 本站收录
- 内容更新
- 导师
- Dimitra Georgiadou
- 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）
- english_ok
School of Electronics and Computer Science at the University of Southampton
- bachelor_ok
You must have a UK 2:1 honours degree or its international equivalent
原文
View all current projects
Postgraduate research project
Advanced modelling and characterisation of memristors
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
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 project will combine device simulations with electronic characterisation and optoelectronic measurement techniques to identify the resistance modulation mechanisms underlying memristive devices based on a wide variety of materials systems including hybrid perovskites, silicon-carbide, and vanadium (IV) oxide.
An opportunity has arisen within the School of Electronics and Computer Science at the University of Southampton to participate in cutting-edge research in the emerging field of neuromorphic electronic devices.
A memristor is a fundamental two-terminal passive electronic device, the resistive state of which depends on its history. Networking a set of memristors produces a hardware neural network capable of in-memory computing with the potential to realise neuromorphic chips with improved energy efficiency, real-time learning and greater fault tolerance as compared to the current silicon-based Artificial Intelligence accelerators. Notwithstanding, many challenges remain for the research field including understanding the various resistance modulation mechanisms, device stability, and state retention.
New device models will be developed to account for different resistance modulation mechanisms including ionic energy barrier modulation, filament formation, phase change, and Joule heating. Insights from the models will be used to design transient electronic and optoelectronic characterisation protocols, which will be tested on real-world devices.
The ultimate aim of the project is to establish a suite of advanced characterisation methodologies capable of unambiguously identifying the resistance modulation mechanism of individual memristive devices.
The outcomes will provide valuable insight for the design of next-generation neuromorphic technologies and energy-efficient AI hardware.
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
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
Supervisors
Dr Philip Calado
New Frontiers Fellow
Professor Giles Richardson
Professor
Research interests
• Modelling renewable energy storage and generation
• Modelling in biomedicine
Entry requirements
You must have a UK 2:1 honours degree or its international equivalent, in one of the following:
• applied mathematics
• physics
• electronics
• or related disciplines
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
• choose the relevant PhD Electronic & Electrical Engineering (7092)
• add name of the supervisor in section 2
Applications should include:
• a personal statement
• your CV (resumé)
• 2 academic references
• degree transcripts to date
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 Professor Dimitra Georgiadou (D.Georgiadou@soton.ac.uk).