PhD opportunity in Hydroclimatic Modeling at University of Lausanne
Gregoire Mariethoz
The Institute of earth surface dynamics of the Faculty of geosciences and environment opens a position of PhD student in Hydroclimatic modeling.
Job information
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
Your responsibilities
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:
https://www.unil.ch/srh/en/home/menuinst/infos-administratives/salaire-et-a…
Your
qualifications
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
Your application
Deadline : 01.03.2022
Applications should imperatively comprise all of the following :
Motivation letter
(1 page)
Curriculum Vitae
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:
https://bit.ly/3qUomyX
UNIL is committed to equal opportunities and
diversity.
www.unil.ch/egalite
UNIL supports early career researchers.
www.unil.ch/graduatecampus