苏黎世联邦理工学院PhD position in data-driven and hybrid hydrological modeling申请条件要求-申请方
主办方
苏黎世联邦理工学院
PhD直招介绍
PhD student in data-driven and hybrid hydrological modeling
We invite applications for a PhD position on Data-driven and hybrid hydrological modeling co-supervised by Manuela Brunner (ETH Zurich, WSL) and Olivia Martius (University of Bern). The position will be hosted at the Institute for Atmospheric and Climate Science( https://iac.ethz.ch/ ) at ETH Zurich and will be part of the NCCR CLIM+ programme( https://www.nccr-climplus.ch/ ) which is funded by the Swiss National Science Foundation (SNSF).
Project background
The NCCR CLIM+ supports Switzerland in the transformation towards a climate-resilient society. Together with stakeholders, the interdisciplinary NCCR CLIM+ research community tackles unexplored solution spaces to the climate crisis and develops a blueprint for actionable climate research worldwide. NCCR CLIM+ broadly communicates and shares knowledge, and trains a new generation of experts with the necessary domain and transdisciplinary knowledge.
Job description
Within this PhD project, you will:
Develop new data-driven and/or hybrid hydrological models for Switzerland
Use these models to depict hydrological storylines under climate change and assess local risks related to the impacts of climate change on the water cycle
Publish your results in scientific journals and present them at national and international conferences
Working, teaching and research at ETH Zurich
( https://ethz.ch/en/the-eth-zurich/working-teaching-and-research.html )
We value diversity and sustainability
In line with our values( https://ethz.ch/en/the-eth-zurich.html ), ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website( https://ethz.ch/staffnet/en/employment-and-work/working-environment/diversity.html ) to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future( https://ethz.ch/en/the-eth-zurich/sustainability.html ).
About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
苏黎世联邦理工学院 PhD position in data-driven and hybrid hydrological modeling项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
We offer
You will join that Hydrology & Climate Impacts in Mountain Regions research group that studies water and climate extremes in mountain regions under global change
We are an engaged, open-minded, and innovative research group trying to make a difference by doing research relevant for society and decision makers
You will be part of the NCCR CLIM+ programme and benefit from its extensive exchange and training in inter- and transdisciplinary research
The NCCR CLIM+ strives to implement equal opportunity at hiring. At NCCR CLIM+ we believe that diversity of thought, background and experience creates better research
Alternative work location: WSL Institute for Snow and Avalanche Research in Davos
苏黎世联邦理工学院Phd申请条件和要求都有哪些？PhD position in data-driven and hybrid hydrological modeling项目是不是全奖？有没有奖学金？下面我们一起看一下苏黎世联邦理工学院申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
Profile
A MSc degree in hydrology, statistics, data science, applied mathematics or a closely related field
Extensive experience with setting up, fine tuning, and running data-driven or hybrid hydrological models
Strong programming skills (ideally in Python and/or R)
Experience in working with large datasets, ideally hydrological, meteorological or climate observations/simulations.
Very good oral and written communication skills in English
Command of one of the national languages is an asset
Motivation to work in an interdisciplinary and international working environment and a collaborative mindset
报名方式
申请链接
招生人信息
Manuela Brunner
邮箱：manuela.brunner@env.ethz.ch
电话：+41 81 4170 342
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