AI驱动的材料发现与原子模拟博士研究员
AI directed materials discovery and atomistic 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 • choose the relevant PhD ORC (7097) • add name of the supervisor in section 2 Applications should include: • your CV (resumé) • 2 academic references • degree transcripts to date • English language qualification (if applicable)
- 最近申请截止
- 2027-07-31
- 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
- • your CV (resumé)
- • 2 academic references
- • degree transcripts 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
- 研究内容涉及在光子学、先进材料和AI前沿开展博士研究，利用最先进的洁净室制造、机器学习和模拟技术开发下一代硫系化合物材料，并通过原子级AI工具进行材料发现与模拟仿真。
- 申请条件
- 申请人必须持有物理学、材料科学或工程学等相关领域的英国2:1荣誉学位或国际同等学历，并具备编程能力。
- 待遇
- 提供竞争性资助机会（包括面向英国及国际学生的总统奖学金或院系奖学金，可涵盖学费及生活津贴），具体依据申请排名和资助类型而定。
- 申请方式
- 申请人需通过大学系统在线申请，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、相关PhD ORC (7097) 项目，并在第2部分填写导师姓名；截止日期为2027年7月31日。
- 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
- 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
- 2027-07-31
- 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）
- Dr Pier-John Sazio, Dr Ioannis Zeimpekis
- 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
Join a PhD at the forefront of photonics, advanced materials and AI.
- bachelor_ok
You must have a UK 2:1 honours degree or its international equivalent
原文
View all current projects
Postgraduate research project
AI directed materials discovery and atomistic 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
31 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
Join a PhD at the forefront of photonics, advanced materials and AI. Develop next-generation chalcogenide materials using state-of-the-art cleanroom fabrication, machine learning and simulation. Gain valuable expertise in materials discovery, device characterisation and photonic technologies while collaborating with leading researchers and industry partners.
In this PhD programme, you will develop chalcogenide glass materials based on the group VI elements S, Se and Te which have attracted global attention as advanced materials for optical, photonic and electronic applications.
We create these using the unique processes developed at the Novel and compound glass facilities within the Zepler cleanrooms. The properties of these amorphous semiconductor materials ensure a very wide transparency range, spanning from the visible to the far infrared, thus giving rise to numerous potential industrial applications.
However, the synthesis of these materials is often complex and capital intensive, as they are typically combined with rare and expensive elements including Ge, Sb, Ga etc. Therefore, in parallel with experimental activities, modelling and simulations will form a significant aspect of your research by developing cutting edge knowledge and expertise with the burgeoning range of AI tools available for materials discovery at the atomistic level to use earth abundant elements and thus develop the next generation of advanced materials with extraordinary properties.
This ML/AI driven project would thus be suitable for a highly motivated candidate with a strong physics/materials/engineering related background and programming abilities to develop highly transferable skills in cleanroom sample fabrication and electronic and photonic device characterisation, materials processing, numerical simulations and machine learning with input from industry partners and working with leading academic experts.
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
PS
Dr Pier-John Sazio
Principal Research Fellow
Supervisors
Dr Ioannis Zeimpekis
Associate Professor
Entry requirements
You must have a UK 2:1 honours degree or its international equivalent, in one of the following:
• physics
• materials science
• engineering
Programming is an essential skill.
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 ORC (7097)
• add name of the supervisor in section 2
Applications should include:
• your CV (resumé)
• 2 academic references
• degree transcripts 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 Pier-John Sazio (P.A.Sazio@soton.ac.uk).