Water4All Call 2026 on "Sustainable Water Management"
Looking for :
a project to join
Senior lecturer Matteo Rossi
Mr.
matteo.rossi@tg.lth.se
Sweden
Lund University, LTH
Public
Engineering Geology Division
https://www.tg.lth.se/en/start
+46462227371
a project to join
I am a Senior Lecturer in Engineering Geology at Lund University with a research background in near-surface applied geophysics and hydrogeophysics. My expertise includes the development, integration and inversion of geophysical methods for hydrological, environmental and geotechnical applications, with particular experience in Electrical Resistivity Tomography (ERT), Induced Polarization (IP), Ground Penetrating Radar (GPR), Distributed Acoustic Sensing (DAS), electromagnetic and seismic methods, and fibre-optic sensing.
A major part of my research has focused on hydrogeophysical monitoring and modelling of water flow and transport processes, including vadose-zone hydrology, infiltration, groundwater processes and contaminated sites. I have experience in stochastic and coupled hydrogeophysical inversion, integrating hydrological models with geophysical observations to estimate hydraulic properties and characterize subsurface dynamics. My previous work also includes research on innovative methodologies for water-resource management under variable hydro-climatic conditions and field-scale hydrogeophysical investigations of hydrological processes.
Topic 1. Integrated Monitoring and Assessment for Sustainable Water Management
Topic 2. Nature-Based Approaches for Resilient Water Management at Hydrological and Hydrogeological System Scale
My project proposal, so far, aims to develop a quantitative and predictive understanding of transient river–groundwater exchange at the mesoscale, where important hydrological processes remain poorly constrained. We will combine long-term hydrogeophysical monitoring, tracer experiments and Bayesian inverse modelling to quantify exchange fluxes, flow pathways and travel-time distributions, while identifying the roles of hydraulic forcing and subsurface heterogeneity and explicitly quantifying uncertainty. Ultimately, the project aims to predict how hydrological connectivity responds to climate- and human-driven perturbations and to improve the assessment of contaminant transport and groundwater vulnerability.
hydrogeophysics, groundwater–surface water interactions, fibre-optic sensing, bayesian inversion and uncertainty quantification.