The Luxembourg Institute of Science and Technology offers an outstanding opportunity for joining its newly created doctoral training unit (DTU) in hydrological sciences : HYDRO-
CSI : Towards a holistic understanding of river systems : Innovative methodologies for unraveling hydrological, chemical and biological interactions across multiple scales .
The total number of positions in this DTU is 14 embracing four complementary thematic clusters on (1) high frequency monitoring of hydrological processes, (2) new hydrological tracers, (3) remote sensing applied to hydrology, and (4) hydrological forecasts and predictions under change.
Academic partners are the TU Vienna (Austria), University of Luxembourg, Wageningen University (The Netherlands) and the Karlsruhe Institute of Technology (Germany).
The DTU HYDRO-CSI is funded in the framework of the PRIDE scheme of the Luxembourg National Research Fund (FNR), and is coordinated by Prof. Laurent Pfister.
The main objective of the DTU HYDRO-CSI is to train a new generation of highly skilled experts with a view to contribute to solving some of the most pressing challenges related to water resources research and management : hydrological system complexity, non-
stationarity of boundary conditions, high-frequency monitoring of environmental processes, global change impact assessment.
The offered fully paid PhD position is embedded in cluster (4) of the DTU and focuses on flash flood mechanistics and modelling.
The position is envisaged to start between November 1st 2018 and December 1st 2018 and will extend over a maximum duration of 4 years.
The PhD candidate will be part of the Catchment and Eco-hydrology research group (CAT) at the Department of Environmental Research and Innovation (ERIN) at LIST.
Furthermore, the PhD candidate will be affiliated with the Karlsruhe Institut für Technologie (D) (supervision by Prof. Dr.
In the context of global change and non-stationarity of hydrological systems, Luxembourg is increasingly facing convective meteorological events of unprecedented intensity.
The recent catastrophic hydrological events that have occurred in the Mullerthal area (central-eastern Luxembourg) in summer 2016 and 2018 are examples of an increase in extreme hydro-
meteorological events. A pressing research need in this respect stems from the fact that while climate change is now clearly observed, it has not been properly assessed and quantified.
Moreover, with most hydrological forecasting models having been developed under the assumption of stationarity of environmental systems, they are increasingly applied close to or even beyond their design limits.
We intend to rely on the dense hydro-meteorological monitoring network of the Sûre River basin in Luxembourg, operated by public authorities (e.
g. Administration de la Gestion de l’Eau) and LIST for several decades for investigating the following issues :
Flood shape descriptions are commonly used in this context to characterize the constant / stationary hydrological properties of a catchment.
However, flood events can be viewed as well as being an integrated representation of the rainfall events. Here we propose to carry out the flood analysis by extracting evolving properties of the hydrographs that could eventually be related to climate change.
discharge relationship in a non-stationary context. This part of the proposed research will be closely linked to an ongoing public-
private partnership project on Low-Power Wide-Area Networks enabled flash-flood monitoring and forecasting’ (in collaboration with the Administration de la Gestion de l’Eau’ and POST Luxembourg’).
The main goal will be to significantly reduce uncertainties in rainfall measurements and to subsequently improve flash-flood forecasting capacities.
An important objective for the selected candidate is to publish in highly ranked international peer-reviewed journals. The candidate will be encouraged to present his / her results at conferences and to attend workshops.
Research visits at the KIT and other project partners are foreseen.
Ideally, the candidate holds a Master degree in applied mathematics or environmental engineering, preferably with a focus on hydraulics / meteorology.
She / he has a good knowledge of statistics and programming (preferably with R). She / he is highly motivated to perform rigorous research and is willing to join a very dynamic and international team.
Place of employment and main place of work :