Doctoral Student in Hydroclimatic modeling
University of Lausanne - Institute of Earth Surface Dynamics
Earth and Space Science Informatics (ESSI)
Hydrological Sciences (HS)
UNIL is a leading international teaching and research institution, with over 5,000 employees and 17,000 students split between its Dorigny campus, CHUV and Epalinges. As an employer, UNIL encourages excellence, individual recognition and responsibility.
The Institute of earth surface dynamics of the Faculty of geosciences and environment opens a position of PhD student in Hydroclimatic modeling.
Expected start date in position : 01.06.2022 / to be agreed
Contract length : 1 year, with extensions for up to 4 years total duration
Activity rate : 100%
Workplace : Lausanne-Mouline, Geopolis building
This position is opened within the GAIA lab (https://wp.unil.ch/gaia/) in the context of a SNF research project. Most of the workload will be devoted to a PhD thesis in hydrological modeling using geostatistics and remote sensing. This will include conducting theoretical developments, writing computer codes, redaction of scientific articles, presentation of the research outcomes at international conferences, participation in project meetings and in the general life of the research institute.
A smaller component of the workload (about 15%) will consist in assisting with teaching and research duties: teaching activities under the supervision of a professor, research work not directly related to the personal PhD topic, technical and administrative tasks related to the activities of the Institute of Earth Surface Dynamics (https://www.unil.ch/idyst/en/home.html).
The employment conditions are available at this address:
Climate change is projected to have local effects on the hydrologic response of catchments around the world, with associated pressure on water resources and ecosystems. This response is however difficult to quantify due to the relatively short record of high-resolution satellite imagery that is used to feed hydrological models. This position will aim at reconstructing long-term records of hydroclimatic variables using advanced machine learning algorithms. Hydrological models will then be developed to quantify the local impacts of climate change on the hydrological cycle, focusing particularly on large semiarid catchments.
The chosen candidate will have a master’s degree in environmental science, remote sensing, applied mathematics, computer science, civil engineering, or a related domain.
A requirement for this position is a good base in applied mathematics and programming, demonstrated through academic works (e.g. MSc thesis or publications). Knowledge in geostatistics or machine learning, experience in handling climate or remote sensing datasets, experience with hydrological models, are advantages. Excellent skills in written and oral English are required. Working knowledge of French language is preferable but not necessary.
The ideal candidate should be committed to conducting a 4-years PhD thesis on the development of data-intensive numerical methods, including acquiring advanced knowledge in these related domains.
What the position offers you
We offer a nice working place in a multicultural, diverse and dynamic academic environment. Opportunities for professional training, a lot of activities and other benefits to discover.
Contact for further information
Prof. Grégoire Mariéthoz
Deadline : 01.03.2022
Applications should imperatively comprise all of the following :
Motivation letter (1 page)
Copy of university degrees certificates and transcripts of marks awarded
An electronic version of a research output (MSc diploma thesis, research report, proceedings paper or other scientific publication).
Only complete applications made through this website will be considered:
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