复杂气候风险经济影响博士研究员
PhD Researcher (m/f/d): Economic Impacts from Complex Climate Risks
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。
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- 研究内容
- 研究极端、破纪录和复合型极端天气事件的经济影响;开发新统计方法将极端天气事件及其复杂交互纳入经验损害函数或综合评估建模框架;应用和/或开发基于智能体的经济模型来研究复合天气事件的影响;应用因果工具和先进统计方法厘清最坏气候影响的驱动因素;撰写并发表博士论文及国际期刊论文,在会议和小组活动中展示成果。
- 申请条件
- 须持有气候科学、大气科学、物理学、地球科学、数学、统计学或相关领域的硕士学位(或同等学历);具备大气动力学和气候变率的良好知识;具备编程技能(如Python)及分析大型气候数据集的经验;对独立研究具有强烈动机;具备良好的英语书面和口头表达能力。具备气候观测、再分析和气候模型输出经验、标准统计建模技术经验、因果推断、可解释AI与机器学习技术熟悉度,或对气候变率与社会影响之间的联系感兴趣者更具优势。
- 待遇
- 岗位将于2027年1月1日开始(起始日期可有一定灵活性)。薪酬遵循马克斯·普朗克学会的标准博士薪资,相当于联邦公共服务工资协议(TvöD Bund)EG 13标准的65%。职位包含每年31天年假,提供灵活工作时间和远程办公选项,并享有公共交通雇主补贴、马普学会内部培训机会以及语言和健康课程。
- 申请方式
- 请通过申请门户网站提交申请,职位招满为止。如有疑问可联系 Dr. Kai Kornhuber(邮箱:kornhuber@gea.mpg.de)。
- 材料清单
- 一封求职信
- 不超过3页的简历
- 最多2页的研究兴趣总结
- 如适用,与职位相关的同行评审出版物列表,或候选人MA/MPhil/MSc论文的副本
- 两位推荐人的联系方式
- 任何相关证书
由 gemini-2.5-flash-lite 生成,博士岗判定置信度 100%。
岗位信息
- 截止
- (Europe/Berlin) 剩 176 天
- 学科
- 地球与环境
- 合同类型
- 雇佣合同
- 薪资制度
- TVöD · E 13;具体金额请核对原帖及适用工资表
- 原帖薪资说明
- EG 13 TvöD
- 原帖发布
- 本站收录
- 内容更新
- 原帖导师候选(待核验)
- Kai Kornhuber
- 来源
- 德国高校与研究机构官方招聘 · 最近核对 2026-10-28
- 详情核验
判定依据(原文摘录)
- 工作语言为英语
Good command of written and spoken English
- 要求硕士学位而非学士
Master's degree (or equivalent) in climate science, atmospheric science, physics, geosciences, mathematics, statistics or a related field
原文
The Max Planck Institute of Geoanthropology (MPI-GEA) was founded in summer 2022 and is a dynamically growing, highly-interdisciplinary and international research institution. The research focuses on modeling and analyzing the interrelationships between biophysical and human-made systems, looking from the deep past to the future. The institute examines how humanity has driven the emergence of the Anthropocene – the period in which human activities began significantly impacting our planet’s climate and ecosystems – and identifying potential intervention points towards a more sustainable future.
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The Carl Zeiss Stiftung Independent Research Group on High-End Climate Risks (CZS-HECR) at MPI-GEA works towards an end-to-end understanding of worst-case climate outcomes, from unprecedented and compounding extremes to their societal impacts. The group combines fundamental physical process understanding rooted in climate physics and Earth System analyses, targeted climate model experiments, advanced statistics, including machine-learning- and explainable AI, to deliver usable climate risk estimates under current and future climates for core societal sectors such as health, food, energy and finance. Doctoral researchers join an interdisciplinary team, and a broad international network are provided with highly competitive research conditions including generous support for travel and research visits. Candidate tasks
• Investigate the economic impacts of extreme, record-breaking and compounding weather extremes
• Develop novel statistical methods to integrate extreme weather events and their complex interaction into empirical damage functions and / or integrated assessment modelling frameworks
• Apply and/or develop agent-based economic models to investigate impacts from compounding weather extremes
• Apply causality tools and advanced statistical methods to disentangle drivers of worst case climate impacts
• Write and publish your research as a doctoral thesis and papers in international journals
• Present results at conferences and group events, and take part in training such as Summer Schools and Workshops
Your qualification Essential
• Master's degree (or equivalent) in climate science, atmospheric science, physics, geosciences, mathematics, statistics or a related field
• Good knowledge of atmospheric dynamics and climate variability
• Programming skills (e.g. Python) and experience with analysing large climate datasets
• Strong motivation for independent research
• Good command of written and spoken English
Advantageous
• Experience with climate observations, reanalysis and climate model output
• Experience with standard statistical modelling techniques
• Familiarity with causal inference, explainable AI and machine learning techniques
• Interest in the link between climate variability and societal impacts
Our offer The position will begin on the 1st of January 2027 though some flexibility in start date is possible. Remuneration will follow the standard PhD salaries given in the Max Planck Society which correspond to 65% of EG 13 TvöD (Bund). The position includes 31 days of annual leave. We also offer attractive and family-friendly flextime and options for remote work. Additional benefits include an employer subsidy for public transport, access to training opportunities within the Max Planck Society, as well as language and health courses. The successful candidate can apply for admission to our graduate school “International Max Planck Research School for Modeling the Anthropocene”. The Max Planck Society is committed to employing more individuals with disabilities and especially encourages them to apply. We are also committed to encouraging diversity and actively challenging biases based on gender, nationality, ethnicity, sexual orientation, religion and other components of identity. We were honored with the TOTAL E-QUALITY award for the first time in 2023 for our commitment. The Max Planck Society supports the compatibility of family and career and is certified according to the "berufundfamilie" (“job and family”) audit. Your application should include
• A cover letter
• A CV of no more than 3 pages
• A summary of research interests with max. 2 pages
• If applicable a list of peer-reviewed publications related to the position, or a copy of the candidate’s MA/MPhil/MSc thesis
• Contacts of two referees
• Any relevant certificates
Position remains open until filled. Contact for more information Application portal Dr. Kai Kornhuber Email: kornhuber@gea.mpg.de