Stacked Intelligent Metasurface (SIM) for Orthogonal Time Frequency Space (OTFS) 博士研究员
Stacked Intelligent Metasurface (SIM) for Orthogonal Time Frequency Space (OTFS)
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
- 2027-09-01
- 全部申请截止
- （Europe/London）
- 资助
- 未取得可核验的具体补助金额，请查看原帖的资格与资金说明。
- 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
- 本项目探讨堆叠智能超表面（SIM）与正交时频空间（OTFS）在空天地一体化网络（SAGIN）应用中的结合，研究可编程波束成形、波形生成与检测、集成通信与传感（ISAC）功能，以及用于反向重新编程SIM的深度神经网络（DNN）解决方案。
- 申请条件
- 申请者需持有英国2:1荣誉学士学位或其国际同等学历。
- 待遇
- 学校为英国本土及国际学生提供一系列资助机会，地平线欧洲费用减免可自动为符合条件的优秀学生补足海外学费与英国本土学费之间的差额，且大学提供基于竞争的总统奖学金供顶尖申请者申请。
- 申请方式
- 申请人需通过学校系统申请，选择研究型项目、2027/28学年、工程与物理科学学院、全职或兼职，搜索PhD Electronic & Electrical Engineering (7092)项目，并在申请表的第二部分添加导师姓名；资助以滚动方式授予，建议尽早申请。
- 材料清单
- 研究计划（Research proposal）
- 简历（CV）
- 2封学术推荐信（Academic references）
- 迄今为止的学位成绩单和证书（Degree transcripts and certificates to date）
- 英语语言资格证明（如适用）（English language qualification）
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
- 2027-09-01
- 学科
- 工程
- 合同类型
- 项目资助
- 本站收录
- 内容更新
- 导师
- Dr Chao Xu
- 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
- bachelor_ok
Entry requirements A UK 2:1 honours degree, or its international equivalent.
原文
View all current projects
Postgraduate research project
Stacked Intelligent Metasurface (SIM) for Orthogonal Time Frequency Space (OTFS)
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 Sep 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 explore the combination of Stacked Intelligent Metasurfaces (SIM) and Orthogonal Time Frequency Space (OTFS) in the context of Space-Air-Ground Integrated Network (SAGIN) applications.
Stacked Intelligent Metasurfaces (SIM) are composed of multiple layers of programmable meta-atoms that can dynamically manipulate electromagnetic (EM) waves as they propagate through them. Each meta-atom acts as a reconfigurable artificial neuron with tunable weights—drawing a strong parallel with Deep Neural Networks (DNNs), but Graphics Processing Units (GPUs) are no longer required. This architecture enables real-time wireless computing such as beamforming and Fourier transform to be performed at the speed of light, as EM wave propagates through multiple layers of metasurfaces.
Space-Air-Ground Integrated Network (SAGIN) is a promising candidate for providing ubiquitous coverage in 6G. However, SAGIN still faces a dual challenge: longer communication ranges and higher vehicle speeds lead to increased delay spreads and Doppler shifts, which result in inter-symbol interference (in the time domain) and inter-carrier interference (in the frequency domain). Orthogonal Time Frequency Space (OTFS) overcomes these issues by transforming doubly dispersive channels in the time-frequency domain into quasi-static representations in the delay-Doppler (DD) domain, making it highly promising for SAGINs.
This project will explore the combination of SIM and OTFS in the context of SAGIN applications. Programmable beamforming, waveform generation and detection, Integrated Communication and Sensing (ISAC) functionalities will be explored. DNN solutions that can backward reprogram SIM will also be investigated.
This project will be supervised by Dr Chao Xu, who’s the first researcher from the University of Southampton to achieve the highest score 100/100 in the EU’s Marie Sklodowska-Curie Actions (MSCA) fellowship proposal evaluation.
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
CX
Dr Chao Xu
Lecturer
Research interests
• space-air-ground integrated networks,
• reconfigurable intelligent surface,
• machine learning,
Entry requirements
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.
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
If you have a general question, email our Doctoral College: doctoralcollege-admissions@soton.ac.uk.
Project leader
For an initial conversation, email Dr Chao Xu (cx1g08@soton.ac.uk).