算法/硬件协同设计用于贝叶斯和伊辛模型的计算机科学博士研究员
PhD Studentship in Computer Science - Algorithms/Hardware Co-Design for Bayesian and Ising Models (Fully Funded)
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
- 本项目旨在开发针对贝叶斯和伊辛模型的算法与硬件架构，以利用新兴磁性随机存取存储器（MRAM）器件的固有随机性。研究内容包括表征MRAM器件的随机行为、建立器件级统计数据与概率算法之间的联系、构建概率模型的理论基础并通过仿真与性能分析工具在代表性工作负载（如TinyML、边缘视觉、联邦学习）上进行基准测试。
- 申请条件
- 申请者需在计算机科学或相关学科拥有优秀的教育背景，持有相关学科的学士学位（2:1或一等荣誉学位，为必需条件），硕士学位为可选条件。若适用，需满足英语语言要求（如雅思总分6.5及单项不低于6.5或同等水平）。
- 待遇
- 奖学金涵盖3.5年的全部学费、按UKRI标准发放的年度生活津贴、额外的伦敦津贴以及培训等相关费用。
- 申请方式
- 申请应通过“Apply”按钮在线提交，并在申请中注明参考编号“R143025”。申请截止日期为2026年11月15日，委员会将进行滚动筛选，建议尽早申请。
- 材料清单
- 简历（CV），需合并为一个单PDF文件
- 求职信（Covering Letter），说明如何符合要求以及对拟议研究项目的兴趣，需合并为一个单PDF文件
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 25 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
- 原帖导师候选（待核验）
- Bipin Rajendran, Darren Hurley-Smith
- 来源
- jobs.ac.uk（英国博士项目及学术招聘） · 最近核对 2026-10-20
- 详情核验
判定依据（原文摘录）
- is_phd
Funded PhD Project (UK or International Students)
- bachelor_ok
• Bachelor's degree in a relevant subject - 2:1 or 1st (essential)
- english_ok
If applicable – IELTS 6.5 overall (with a score of at least 6.5 in each individual component) or equivalent.
原文
Funded PhD Project (UK or International Students)
Funding provider: Northeastern University London (NU London) and IMEC
Project start date: January 2027
Supervisors (*lead):
• Bipin Rajendran (Northeastern University London)
• Darren Hurley-Smith (University of Kent)
Northeastern University London
As part of a major investment, Northeastern University London (NU London) offers PhD studentships to support interdisciplinary research across the humanities, social sciences and digital sciences. The current studentship is part-funded by IMEC and is offered for four years and includes funding towards fees, a stipend at UKRI rates, an additional London allowance, and associated costs such as training.
NU London is both a UK university governed by UK higher education regulations, and the European campus of Northeastern University – a large, top-tier research intensive, Boston-based institution. Founded in 1898, Northeastern received $230.7m of external research funding in 2022, and is the recognized leader in experience-driven lifelong learning. It has campuses across the United States and Canada (in Boston; Charlotte, North Carolina; Portland, Maine; Oakland, California; San Francisco; Seattle; Silicon Valley; Arlington, Virginia; the Massachusetts communities of Burlington and Nahant; Toronto and Vancouver). Whilst the PhD will be a UK qualification, students will have the opportunity to engage with and visit the Northeastern University network overseas as part of their London-based doctoral studies, providing a truly unique and highly sought-after dimension to their research training.
The Project
The project aims to develop algorithms and hardware architectures for Bayesian and Ising Models that can leverage the intrinsic stochasticity of emerging magnetic random access memory (MRAM) devices.
Topics will include:
• Develop robust methodologies for characterising the stochastic behaviour of existing MRAM devices.
• Establish the link between device-level statistics and probabilistic algorithms.
• Build theoretical grounding in probabilistic models (Bayesian and Ising) and how they can be optimized considering the natural characteristics of MRAM devices.
• Use simulation and emulation tools combined with profiling frameworks for energy, latency, and throughput.
• Benchmark across representative workloads (e.g., TinyML, edge vision, federated learning).
The successful candidates will:
• Have a proven, strong educational background in Computer Science or a related subject (see eligibility criteria)
• Be excited and inspired by the proposed project area
• Be a self-starter
• Have good communication skills
• Have an inquiring mind and be willing to challenge themselves
The successful candidates will benefit from a brand new campus on the banks of the River Thames next to Tower Bridge. This is an interdisciplinary, vibrant research environment with international collaboration and networking opportunities and dedicated research space. It will form the hub of a highly experienced, multi-institution supervisory team from NU London and the University of Kent.
Shortlisted candidates will be interviewed in November 2026. Candidates are welcome to contact the NU London supervisor with informal enquiries before the application deadline: 15/11/2026 (b.rajendran@nulondon.ac.uk)
The panel will be shortlisting for this position on a rolling basis so please apply as soon as possible. We reserve the right to close this post before the closing date if we receive a sufficient number of applications.
Eligibility
• Bachelor's degree in a relevant subject - 2:1 or 1st (essential)
• Master’s degree in a relevant subject (optional)
English Language requirements:
If applicable – IELTS 6.5 overall (with a score of at least 6.5 in each individual component) or equivalent.
Nationality
Applications are open to UK and international students. Please indicate if you are likely to require a visa on your application. We are unable to support visa costs.
Funding
This scholarship covers the full cost of tuition fees, an annual stipend and an additional London allowance (set at UKRI rates) for 3.5 years.
How to Apply
Applications should be made via the ‘Apply’ button above. Please reference your application “ R143025 ”.
Please upload a single PDF document comprising of (1) a CV and (2) Covering Letter stating how you meet the requirements and why you are interested in the proposed research project.
Participation in the equal opportunities section is encouraged, but voluntary. Annual Stipend + Fees covered+ London Allowance