气候变化背景下的北极冬季风暴博士研究员
PhD Studentship: Arctic Wintertime Storms in a Changing Climate
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
- 本项目利用气候预测集合构建未来极地低压的气候学，研究极地低压变化对气候系统、海洋及海冰的影响，并利用气象局模型进行大气-冰-海洋数值天气预报模拟，对极地低压个案进行分析。
- 申请条件
- 申请者需具备定量科学相关学位，对气候模型输出的数据分析以及天气系统数值建模有浓厚兴趣，具备一定的编程经验者更佳。
- 待遇
- 提供全额资助的奖学金（ARIES studentship），涵盖学费、2026/27学年每年21,805英镑的生活维护津贴，以及研究培训与支持经费（RTSG）。
- 申请方式
- 原文未说明具体的网申地址、提交语言及文件格式要求，请通过东英吉利大学及ARIES项目官方渠道申请，截止日期为2026年12月16日。
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）
- 学位要求
A degree in a quantitative science.
原文
Scientific background:
Polar mesoscale cyclones are smaller scale (<1000 km) rapidly developing Arctic storm systems that occur over sub-polar and polar waters. They are challenging to forecast and a significant natural hazard for people living or visiting polar regions. The strongest class, known as polar lows, occur in winter and have gale force windspeeds with high surface heat and moisture fluxes leading to water mass transformation; so are critical in coupling the atmosphere and ocean within the climate system.
Research methodology
This PhD project will develop a climatology of polar lows for the future using an ensemble of climate projections, investigate the impacts of polar low changes on the climate system, and examine some polar low cases in a coupled forecast model. The student will
• use cyclone detection and tracking tools to quantify the numbers and distribution of polar lows in future projections from a high-resolution climate model;
• investigate the impacts of changes in polar low frequencies and distribution on the ocean and on sea ice;
• examine one or two polar low case studies, making use of our existing aircraft-based observations, or other in situ observations, and new atmosphere–ice–ocean numerical weather prediction simulations using a Met Office model that has the same science configuration as the climate model.
Training:
You will receive training in the use and analysis of climate model output as well as scientific training in the dynamics and physics of weather systems and the climate system. You will receive guidance in the use of cyclone tracking software and the visualisation of climate diagnostics, as well as how to interpret meteorological observations from various research platforms. You will also have training in using a state-of-the-art numerical weather prediction model – the Met Office Momentum system – and in the use and analyses of its output. There may be the opportunity to take part in field work.
Person specification:
A degree in a quantitative science. An interest in data analysis of climate model output and numerical modelling of weather systems is essential, while some experience in coding is desirable.
Funding details
ARIES studentships are subject to UKRI terms and conditions . 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.
£21,805 p.a