PhD position in "large-scale hydrological modeling"
Cornell University | Posted Oct 8, 2024
Deadline: Jan 7, 2025
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- Experience Level:
- Entry Level
- Link to Apply:
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The project. The advertised position is supported by a recently-funded NSF project (“Hydrologic process inference in large-scale models under human impacts”) that will advance our ability to study hydrologic processes in river basins that are heavily affected by dam operations. In particular, the project aims to (1) characterize the structural uncertainty associated with the choice of dam operation models, (2) explain how this uncertainty propagates to the parameterization of large-scale hydrologic models, (3) quantify the impact of this uncertainty on the simulation of hydrologic processes, and (4) generalize practical modelling guidelines. The project is carried out in collaboration with Dr. Jonathan Herman (UC Davis).
Qualifications. Applicants must hold a Bachelors and/or Masters degree in Civil/Environmental Engineering, Environmental Science, or Applied Mathematics, with a good academic background in hydrology and/or water management. Research experience with hydrologic models and Geographical Information Systems will be positively evaluated. A proficient command of oral/written English is essential.
Terms of appointment. The scholarship includes full tuition fees and a competitive compensation. Selected candidates with an outstanding academic profile may be eligible for additional funding support.
Applications should be submitted online, following the guidelines provided in our Grad School website.