Postdoctoral position stratigraphic correlation and modeling

The theme of the postdoc is the development of new approaches for correlation and modelling of stratigraphic formations from typical subsurface data (wells and possibly also geophysics). The research will be primarily on the development of new algorithms or workflows to improve the state of the art in the way stratigraphic uncertainty is quantified and managed. Indeed, stratigraphic correlation is often challenging because of the complexity of depositional and erosional processes and the existence of stratigraphic gaps at multiple scales (Sadler, 1981). Previously, several approaches have been developed for well correlation and dating (Brazell et al., 2019; Lallier et al., 2013; Olea, 1994; Sylvester, 2023; Waterman and Raymond, 1987). In addition to algorithmic challenges, the choice of what to correlate based on the data and on the geological settings has also been shown to be important (Baville et al., 2022; Caumon et al., 2024; Lallier et al., 2016). Finally, the analysis, processing, validation of multiple possible stratigraphic correlation scenarios and their integration into inverse problem raises several challenges, such as the management of the variable number of layers (Herrero et al., 2025).