机器学习系统博士研究员
PhD programme in Machine Learning 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
- 本项目聚焦于机器学习与计算机系统的共生与协同优化，涵盖计算机系统、机器学习、硬件、传感器与控制、编程与集成机器学习环境、AI伦理以及领导力与创业精神等方向的研究，学生将获得真实世界机器学习方法部署与优化的广泛经验。
- 申请条件
- 申请人通常应具备相关领域（如计算机科学、数学、工程学、物理科学、经济学或具备充分计算与数学背景的其他领域）的强有力学位或更高学历，并具备扎实的编程经验、机器学习方法经验以及理想的深度学习环境（如 PyTorch）或计算机系统背景。
- 待遇
- 提供至少10个2026年9月入学的全额资助博士生名额，资助期限为4年，包含生活津贴、学费以及研究经费；英国本土学生由于政府 TechFirst 计划可获得提高的生活津贴，但需承担扩宽参与及参与 TechFirst 计划的额外要求。
- 申请方式
- 第一阶段申请截止日期为2026年12月14日23:59；针对英国本土申请者，视名额空缺情况接受申请至2027年3月15日。请参阅 CDT 网站了解具体申请方式，联系邮箱为 mlsystems-enquiries@inf.ed.ac.uk。
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 64 天
- 学科
- 计算机科学
- 合同类型
- 雇佣合同
- 原帖发布
- 本站收录
- 内容更新
- 来源
- jobs.ac.uk（英国博士项目及学术招聘） · 最近核对 2026-10-10
- 详情核验
判定依据（原文摘录）
- is_phd
The PhD programme in Machine Learning Systems positions students for strong, ethically aware technical careers, developing the next generation of leaders.
- english_ok
As a UKRI-funded CDT, application is open to all UK/EU/non-EU citizens providing they meet the University PhD entry requirements.
- bachelor_ok
An ideal candidate would typically have: • a strong degree or higher qualification in a relevant field
原文
About the CDT
Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic. Modern systems research targets the ubiquitous need for efficient ML. ML research, conversely, is directly affected by how methods will be deployed. Furthermore, systems research increasingly explores ML methods to improve systems, and ML research develops such methods.
Major gains are made when the development of ML and systems are symbiotic and co-optimized. This is relevant across a broad spectrum of industries: in-car systems, medical devices, phones, sensor networks, condition monitoring systems, high-performance compute, and high-frequency trading.
This CDT develops researchers with expertise across the systems-ML stack. This makes a cohort-based programme vital, treating ML Systems as a holistic discipline. Cohort interaction, and integration, give students real experience across multiple systems, approaches and methodologies. Company engagement is an integral part of the programme with built-in internships alongside entrepreneurship training.
The PhD programme in Machine Learning Systems positions students for strong, ethically aware technical careers, developing the next generation of leaders. Students will develop foundational research skills in Computer Systems, Machine Learning, Hardware, Sensors and Control, Programming and Integrated Machine Learning Environments, AI Ethics, and Leadership and Entrepreneurship. At the end, all students will have extensive experience of real-world deployment and optimization of machine learning methods.
Candidate’s profile
An ideal candidate would typically have:
• a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics, engineering, physical sciences, economics or any other field where evidence is provided of sufficient computing and mathematical background)
• solid experience of programming, machine learning methods and ideally deep learning environments (e.g. pytorch) or a computer systems background
CDT studentships
• The CDT has a minimum of 10 fully-funded studentships available for September 2026 entry .
• Studentships include stipend, fees and research costs for 4 years.
• Home students will receive an enhanced stipend thanks to the Government TechFirst Scheme, in return of some additional requirements around widening participation and wider engagement with the TechFirst programme.
• As a UKRI-funded CDT, application is open to all UK/EU/non-EU citizens providing they meet the University PhD entry requirements.
• However, the number of students with international fees status that can be recruited is restricted (about 3 per year).
An indication of the fees status categories, entry requirements and further details on eligibility criteria can be found on our website.
Why Edinburgh?
The University of Edinburgh is one of the best research-intense Universities in the world.
The School of Informatics that hosts the CDT is consistently ranked among the world’s top 30 computer science departments. In 2026 QS World University Ranking by Subject, it is ranked 22nd for Computer Science and Information System, and 30th for Data Science and AI.
The CDT students will be hosted in the state-of-the-art Informatics Forum in the heart of Scotland’s capital, consistently considered one of the most desirable places to live in the world.
How to apply
The deadline for first-stage applications is 14 th December 2026, 23:59.
We accept applications from Home applicants until 15 th March 2027, pending studentships availability.
Candidates should refer to the CDT website for more information on how to apply: Apply | CDT in Machine Learning Systems | School of Informatics
Contact: mlsystems-enquiries@inf.ed.ac.uk
Stipend, fees and research costs for 4 years.