利用光纤与人工智能进行下一代火山监测方向的博士研究员
PhD Studentship: Listening to La Soufrière: Fibre Optics and AI for the Next Generation of Volcano Monitoring
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
- 候选人将开发用于处理圣文森特连续分布式声波传感（DAS）数据的自动化工作流，利用机器学习和信号处理方法检测、分类和表征地震。他们将把DAS观测数据与西印度大学地震研究中心（SRC）运营的永久地震网络及Ex-X部署的稠密节点相结合，改善震源定位计算，应用环境噪声成像技术研究地下结构，并评估DAS如何促进火山监测。
- 申请条件
- 要求申请者具有地球物理学或相关学科的学位，对地质灾害和跨学科研究有浓厚兴趣；具备编程、数据分析或机器学习经验者为加分项。
- 待遇
- 提供全额资助的博士生奖学金，涵盖学费、2026/27学年每年21,805英镑的生活津贴（maintenance stipend）以及研究培训与支持经费（RTSG）。
- 申请方式
- 原文未说明具体的申请方式、递交地址和截止日期（提示中截止日期为2026-12-16）。
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 53 天
- 学科
- 地球与环境
- 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
- 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
PhD Studentship: Listening to La Soufrière: Fibre Optics and AI for the Next Generation of Volcano Monitoring
- english_ok
A limited number of studentships are available for international applicants, with the difference between 'home' and 'international' fees being waived by the registering university.
- bachelor_ok
We seek an enthusiastic individual with a degree in geophysics or a related discipline.
原文
Scientific Background
A major challenge in volcanology is understanding and anticipating transitions in volcanic activity. Subtle changes within volcanic systems can precede hazardous eruptions, yet remain difficult to detect and interpret. This challenge is the focus of the NERC Large Grant Expecting the Unexpected (Ex-X): Understanding Dangerous Volcanic Transitions (dangerousvolcanoes.org). The 2020-21 eruption of La Soufrière, St Vincent, highlighted the importance of improved monitoring and hazard assessment. Recent advances in Distributed Acoustic Sensing (DAS) offer new opportunities for volcano monitoring by transforming fibre-optic telecommunications cables into dense seismic arrays.
As part of Ex-X, a DAS interrogator has been installed on a subsea fibre-optic cable around northern St Vincent. This provides a unique opportunity to investigate volcanic and tectonic processes in previously unmonitored areas. The enhanced spatial and temporal resolution afforded by DAS can reveal subtle seismic changes indicative of magmatic unrest that are usually missed by conventional networks.
Research Methodology
The candidate will develop automated workflows for processing continuous DAS data from St Vincent. Machine learning and signal-processing approaches will be used to detect, classify and characterise earthquakes. They will integrate DAS observations with the permanent seismic network operated by the University of the West Indies Seismic Research Centre (SRC) and a dense nodal deployment acquired through Ex-X. They will improve earthquake location calculations, apply ambient-noise imaging techniques to investigate subsurface structure, and evaluate how DAS can contribute to volcano monitoring. Particular emphasis will be placed on developing monitoring products that complement existing seismic networks, improve interpretation of unrest and support situational awareness.
Training
The candidate will receive training in seismology, volcanology, DAS, machine learning, scientific programming and geophysical imaging. They will gain experience in developing operational software for geohazard monitoring and working with large datasets. They will undertake fieldwork in St Vincent to maintain the DAS installation. Through a CASE partnership with SRC, they will spend several months embedded within an operational volcano observatory.
Person Specification
We seek an enthusiastic individual with a degree in geophysics or a related discipline. Experience of coding, data analysis or machine learning is desirable. An interest in geohazards and interdisciplinary research is essential.
Additional Funding Information
ARIES studentships are subject to UKRI terms and conditions(opens in a new window) . Successful candidates who meet UKRI’s eligibility criteria will be awarded a fully-funded studentship, which covers fees, maintenance stipend (£21,805 p.a. for 2026/27) and a research training and support grant (RTSG). A limited number of studentships are available for international applicants, with the difference between 'home' and 'international' fees being waived by the registering university. Please note, however, that ARIES funding does not cover additional costs associated with relocation to, and living in, the UK, such as visa costs or the health surcharge.