采矿后环境转型数字孪生博士研究员
PhD Studentship: Digital twinning for post-mining environmental transitions
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
- 本项目旨在利用退役采矿业留下的自然资本和基础设施基础建立可持续性,通过为南威尔士和波特兰岛等主要矿区案例构建数字孪生模型,模拟可能的再利用方案并测试替代未来,从而开发支持矿山转型和优化决策的技术工具包。
- 申请条件
- 原文未说明具体的申请学历及专业背景要求。
- 待遇
- 提供2026/7年度的学费资助以及每年21,805英镑的生活津贴。
- 申请方式
- 原文未说明具体的申请方式、截止日期及提交网址。
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
- 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 2026-10-29
- 详情核验
判定依据(原文摘录)
- 这是一项博士培养机会
The PhD project mission is to build sustainability on the natural capital and infrastructure foundations left behind by end-of-life extractive industries.
- 提供学费资助与生活津贴
The studentship will provide funding of fees and a stipend of £21,805 per annum for 2026/7.
原文
Mining is a cornerstone industry that utilises natural capital. Downsizing or cessation of mining occurs when ore deposits become subeconomic or exhausted. The loss of a cornerstone industry, combined with limited economic diversification and negative environmental legacies, are key challenges for resilience in post-mining communities. The PhD project mission is to build sustainability on the natural capital and infrastructure foundations left behind by end-of-life extractive industries.
The research has strategic importance because escalating resource consumption will drive a greater number of mine sites into transition, for reopening of legacy sites, care and maintenance of marginally economic mines, or closure of mines in exhausted ore bodies. Existing strategies for decision-making about reuse of mined landscapes are not adequate. This project builds the UK-based knowledge economy for responsible mining life cycles. The ultimate goal of the project is a decision-making strategy to support mine transition, from the outset of the industrial planning stage and through mine development. Identification of opportunities for economic diversification (and thereby community resilience) must be sensitive to the physical landscape and environmental protections, to minimize industrial pressure on ecosystems.
The approaches must be robust enough to apply to multiple geological and geographic contexts because there is an ever-wider range of ore deposits being exploited. The primary case studies are overland (S Wales) and underland (Isle of Portland) mine spaces that are ready for reutilisation. A digital twin is a virtual replica that will be created for each of the two primary case study landscapes. The virtual replicas will be used to model possible reuse scenario and test alternative futures without costly mistakes and socioenvironmental missteps. Input data will be required on the alternative future landscape uses and how they are selected. The project will therefore consist of a three-step approach: (1) understand how mine sites can be reused; (2) test the suitability of alternative futures using the digital twin models for the main case studies; (3) determine how twinning tools and policy can steer decision-making towards optimized positive outcomes.
Scalability will be interrogated using wider comparisons, e.g. with SW England and the Peak District).
Methodology: This work will be supported by Deep Digital Cornwall (DDC) lab facility at Camborne School of Mines (CSM). Engineering and Physical Sciences Research Council Doctoral Landscape Award
The student will:
1. Desk-survey and consult on the ways that old mine/quarry/tip sites are internationally remined for: resources, environmental restoration, tourism or cultural heritage projects, alternative and innovative manufacturing and research industries,
2. Field-survey using remote sensing and laser scanning, for data to replicate the primary UK post-extractive underground and overground landscape case studies,
3. Digitally twin the landscapes using the DDC lab and test how they can be reconfigured for alternative uses,
4. Analyse the sustainability potential for the alternative options using appropriate criteria and local consultation, to optimize solutions,
5. Develop the technical approach as an optimization tool kit that is adaptable to multiple scenario, and
6. Determine how the approach can be used to create impact by transforming decision making for management of industrial extraction and post-extractive resilience. £21,805. The studentship will provide funding of fees and a stipend of £21,805 per annum for 2026/7.