Doctoral assistant (Assistant-e diplômé-e) in Hydroclimatic modeling
Starting date : from 01.02.2021
Position duration : 1 year originally. The contract can then be renewed 2x for 2 years. The maximum total duration is 5 years.
Level of activity : 80%
Work location : Lausanne Mouline (Geopolis)
Candidate profile :
Climate change is projected to have local effects on the response of catchments around the world. This response is however difficult to quantify due to uncertainties in both climate projections and hydrological models. This position will aim at using the availability of large datasets and advanced machine learning algorithms to quantify the local impacts of climate change on the hydrological cycle.
The chosen candidate will have a master’s degree in environmental science, remote sensing, applied mathematics, computer science, civil engineering, or a related domain focused on environmental or hydrological modeling.
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 remote sensing or climate datasets are advantages.
The ideal candidate should be committed to conducting a PhD thesis on the development of hydrological models that incorporate large datasets, such as those produced by remote sensing platforms. The candidates should be prepared to develop and use advanced numerical methods, such as geostatistics and machine learning.
Excellent skills in written and oral English are required. Working knowledge of French language is preferable but not necessary.
Job description :
Most of the workload (at least 50%, but likely higher) will be devoted to a PhD thesis in hydrological modeling using geostatistics and remote sensing. This work will include the use of existing data (satellite imagery, climate models outputs, reanalysis data) to develop numerical representations of the Earth surface and the hydrologic cycle.
A smaller component of the workload (less than 50%, but likely lower) will consist in assisting with teaching and research duties: teaching activities under the supervision of a professor, research work not related to the personal PhD topic, technical and administrative tasks related to the activities of the Institute.
The employment conditions are available at this address:
Application documents :
Applications should imperatively comprise all of the following:
- Motivation letter,
- 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),
- Short description of a possible PhD thesis project related to the topic of the position (1 page).
Only complete applications made through this website will be taken into account: https://bit.ly/2SGE6no
Questions regarding the application can be addressed by email to Prof. Gregoire Mariethoz (firstname.lastname@example.org).
Application deadline :
30 November 2020