可持续与循环人工智能系统方向 D.Phil. 博士研究员
PhD Studentship: Research Studentship in Control Engineering- Sustainable and Circular AI Systems
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。
AI 中文速览
- 研究内容
- 博士生将研究如何通过更具可持续性和循环利用的硬件与基础设施来支持人工智能的快速增长，重点考察硬件、关键原材料的需求，以及通过循环经济策略减少环境影响的机会。
- 申请条件
- 要求申请者持有工程学或相关学科的一等或优秀的二等一荣誉学士学位（或同等学历），具备工程、材料或技术系统的定量建模与分析技能和经验，以及优秀的英语书面和口头沟通能力。
- 待遇
- 涵盖英国本土及海外学生的课程学费，第一年及后续两年半的生活津贴（免税维护补助）约为每年 21,805 英镑。
- 申请方式
- 候选人必须提交研究生申请表，所有信件及申请中请注明引用代码 27ENGEL_LC。申请截止日期为 2026 年 12 月 2 日中午。
由 gemini-2.5-flash-lite 生成，博士岗判定置信度 100%。
岗位信息
- 截止
- （Europe/London） 剩 39 天
- 学科
- 工程
- 合同类型
- 雇佣合同
- 原文薪资
- GBP 21,805 / 年（税前）
- 税后月薪（估）
- ¥13,700；房租后 ¥5,400
- 估算假设
- 单身、无子女、雇佣合同的粗略估算，以学校 offer 为准；扣除率 18%；汇率日期 2026-10-01
- 原帖发布
- 本站收录
- 内容更新
- 原帖导师候选（待核验）
- Lucia Corsini
- 来源
- jobs.ac.uk（英国博士项目及学术招聘） · 最近核对 2026-10-23
- 详情核验
判定依据（原文摘录）
- is_phd
3.5-year D.Phil. studentship
- english_ok
Excellent English written and spoken communication skills
- bachelor_ok
A first class or strong upper second-class undergraduate degree with honours (or equivalent) in Engineering or a related discipline.
原文
Research Studentship on Sustainable and Circular AI Systems
3.5-year D.Phil. studentship
Project: Sustainable and Circular AI Systems
Supervisors: Prof Lucia Corsini
The DPhil student will investigate how the rapid growth of Artificial Intelligence (AI) can be supported by more sustainable and circular hardware and infrastructure. While existing research on the environmental impacts of AI has largely focused on energy use and carbon emissions, much less is understood about the growing demand for hardware, critical raw materials, and the opportunities to reduce these impacts through circular economy strategies.
The student will develop new approaches to connect AI computational performance with the physical hardware and materials required to deliver it. They will examine how alternative pathways for UK AI and data centre development could affect demand for critical and secondary raw materials, while considering how strategies such as lifetime extension, reuse, repair, upgrading and remanufacture could reduce environmental impacts and dependence on critical raw materials.
The research will develop scenarios for how future growth in UK AI computing could translate into demand for physical infrastructure, including processors, accelerators, memory, storage and networking equipment. The student will map these hardware requirements to their underlying materials, identifying critical material dependencies and potential supply-chain hotspots. They will then investigate how different hardware lifetimes and circular economy strategies could change future material requirements while maintaining computational performance.
The DPhil student will join the Circular Economy and Sustainability Lab and contribute to the Circular Electricals and Electronics Project , which seeks to enable a low-carbon, Circular Economy for Electrical and Electronic Equipment.
Eligibility
This studentship is funded through the Department of Engineering Science and is open to Home and overseas students (full award – fees plus stipend).
Award Value
Course fees are covered for Home and overseas students. The stipend (tax-free maintenance grant) is c. £ 21,805 p.a. for the first year, and at least this amount for a further two and a half years.
Candidate Requirements
Prospective candidates will be judged according to how well they meet the following criteria:
• A first class or strong upper second-class undergraduate degree with honours (or equivalent) in Engineering or a related discipline.
• Demonstrated skills and experience in quantitative modelling and analysis of engineering, material, or technology systems.
• Excellent English written and spoken communication skills
The following skills and experience are desirable but not essential:
• Experience in Material Flow Analysis, Life Cycle Assessment or related modelling techniques
• Experience with circular economy strategies, sustainable engineering, product design or design for disassembly.
• Knowledge of computing hardware, electronics, data centres or AI infrastructure.
• Experience contributing to academic research projects
• Engaging and collaborating with industry partners
• Confidence presenting research findings to relevant stakeholders
• Enthusiasm to work on Circular Economy solutions
Application Procedure
Informal enquiries are encouraged and should be addressed to Prof Lucia Corsini ( lucia.corsini@eng.ox.ac.uk ).
Candidates must submit a graduate application form and are expected to meet the graduate admissions criteria. Details are available on the course page of the University website .
Please quote 27ENGEL_LC in all correspondence and in your graduate application.
Application deadline: noon on 2 December 2026 (In line with the University admissions deadline set by the University)
Start date: October 2027 £21,805 p.a