针对光子和量子材料建模的量子水库计算博士研究员
Quantum reservoir computing for photonic and quantum materials modelling
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
- 2027-07-26
- 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
- 本项目旨在发展量子水库计算（QRC）作为一种理论和计算框架，利用量子系统的内禀动力学来实现光子和量子材料的高效学习、预测和逆向设计。研究将开发严格的理论模型与大规模数值模拟，连接开放量子系统、光子学、机器学习和高性能计算，重点关注物理可解释的方法与架构。
- 申请条件
- 申请人必须持有英国2:1荣誉学士学位或其国际同等学历，专业背景包括物理学、光子学、电气或电子工程、应用数学、计算机科学或紧密相关学科。必备技能包括通过本科、硕士或研究项目获得的数值模拟和科学编程经验。具备量子力学、开放量子系统、光子学或机器学习的先前学习经历，以及Python、C++、Julia或MATLAB编程及高性能计算环境使用经验为加分项。
- 待遇
- 提供针对英国及国际学生的多种资助机会，包括地平线欧洲学费减免、竞争性的总统奖学金（覆盖优秀申请者的海外与英国学费差额），以及各学院提供的竞争性学生奖学金（通常涵盖英国本土学费及生活津贴）。
- 申请方式
- 申请人需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
- 个人简历 (CV)
- 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
- 2027-07-26
- 学科
- 物理与天文
- 合同类型
- 项目资助
- 本站收录
- 内容更新
- 导师
- Marian Florescu
- 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
原文
View all current projects
Postgraduate research project
Quantum reservoir computing for photonic and quantum materials modelling
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
26 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
Quantum physics and artificial intelligence are converging to change how complex light-matter systems are modelled and designed. This project will develop quantum reservoir computing as a theoretical and computational framework that uses the intrinsic dynamics of quantum systems to enable efficient learning, prediction and inverse design of photonic and quantum materials.
The research will advance quantum reservoir computing (QRC) as a computational paradigm for modelling and designing complex quantum and photonic systems. Rather than relying only on data-intensive or brute-force numerical approaches, QRC exploits coherence, memory and nonlinearity in quantum dynamics as resources for information processing and learning.
You will develop rigorous theoretical models and large-scale numerical simulations that reveal how quantum dynamics can perform tasks analogous to neural networks. The work will connect open quantum systems, photonics, machine learning and high-performance computing, with an emphasis on physically interpretable methods and architectures.
You will be based at the Optoelectronics Research Centre (ORC), a world-leading photonics institute with extensive experimental and computational facilities. The project offers training in quantum theory, numerical simulation, machine learning and high-performance computing, with access to large CPU and GPU clusters.
The research programme will focus on:
• establish physically interpretable QRC algorithms capable of capturing strongly correlated and open quantum systems
• explore quantum-neuromorphic architectures using computational models of superconducting, photonic and hybrid reservoirs, identifying routes to energy-efficient learning
• apply these frameworks to the inverse design of photonic and quantum structures, testing how QRC can accelerate discovery and optimisation in a fully computational setting
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 Marian Florescu
Professor
Research interests
• Micro- and nano-photonics
• Open quantum systems
• Nano-electronics and spintronics
Entry requirements
You must have a UK 2:1 honours degree, or its international equivalent, in one of the following:
• physics
• photonics
• electrical or electronic engineering
• applied mathematics
• computer science
• a closely related discipline
Essential skills:
• experience of numerical modelling and scientific programming gained through an undergraduate, master's or research project
Desirable skills:
• prior study of quantum mechanics, open quantum systems, photonics or machine learning
• experience with Python, C++, Julia or MATLAB and/or use of high-performance computing environments
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 Marian Florescu (m.florescu@soton.ac.uk).