Apply before: 14 August 2022
14 August 2022
The successful candidate will be responsible for undertaking analyses of large-scale hydro-climatological and geomorphological datasets, refining an existing machine learning approach to estimate bankfull flow globally, and estimating the relative influence of hydrological and morphodynamic change on global flood frequency. The successful candidate will hold, or be close to completion of a PhD/DPhil with experience or interests in hydro-climatology and/or geomorphology, and will possess strong open-source coding skills in Python (and ideally large-scale flood modelling and some R). Applications are particularly welcome from candidates who identify as female or BAME, who are under-represented in academic posts in Oxford.
Applications for this vacancy are to be made online by 12.00 noon (GMT) on Sunday 14 August 2022. Interviews will be held in late August 2022 for a start date on 1 October or as soon as possible.
I would be grateful if you could kindly share this advert with anyone who might be interested. Please feel free to reach out to me or Michel Wortmann (email@example.com) if you have any questions!
With many thanks,
Associate Professor in Physical Geography