Prospective Postdoctoral Researchers and Graduate Students

*CURRENT OPPORTUNITY*

 

Unique hydrological modeling position - a postdoc with appropriate experience, or a PhD student with strong computational skills. This is part of a multi-position recruitment for an interdisciplinary project (https://manoominpsin.umn.edu/opportunities/).

While the main tasks for this position entail integrated hydrological modeling (including watershed, ecohydrological, and/or land-surface modeling), this work will be part of a larger interdisciplinary project that addresses environmental justice and Indigenous rights and will be carried out in close collaboration with American Indian tribal communities in the Upper Great Lakes region.

At a time when justice, equity, and inclusion issues feel more compelling than ever, this position provides the unique opportunity to integrate computational methods in hydrology with knowledge systems and perspectives that have too often been disregarded. The aim will be to co-produce improved models that can tackle unresolved environmental processes that affect society.

You can learn more about our NSF-funded tribal-university collaboration at https://manoominpsin.umn.edu/

The full Hydrological Modeling position posting is here:
(other open positions are listed at this link: https://manoominpsin.umn.edu/opportunities/)

Hydrological Modeling (Department of Earth and Environmental Sciences, University of Minnesota-Twin Cities). One postdoctoral researcher, or PhD student with a strong computational background, to implement hydrological and statistical models and contribute to fieldwork. This postdoc/student will build upon existing modeling software to understand the response of manoomin watersheds to climate change and other human influences. A unique aspect will be to engage tribal community members and incorporate their knowledge and observations into the model development, calibration, and interpretation. The ideal applicant will have a background in hydrology as well as interest in related geoscience and ecology topics; be able to use Python, Matlab, and/or R; and have some exposure to or interest in Fortran, C++, and/or cluster computing. A commitment to learning about Indigenous histories, perspectives, and knowledge systems will also be necessary for this position. This postdoc/student will be located in the Department of Earth and Environmental Sciences and will be advised by Prof. Crystal Ng and co-advised by Prof. Dan Larkin and others on the project. Application deadline for PhD students is Dec. 15, 2020. Postdoc applicants may directly contact Prof. Crystal Ng at gcng@umn.edu with their CV and cover letter.

 

 

General Graduate Student Opportunities in Hydrological Modeling

I am always on the look-out for prospective masters and PhD students interested in joining a my research group working on integrated hydrological modeling in the Department of Earth and Environmental Sciences at the University of Minnesota - Twin Cities (http://www.esci.umn.edu/). We employ numerical models to describe how different aspects of the earth system interact with the hydrologic cycle (e.g., vegetation, soil / sediments, climate, and geochemistry) in order to understand the impacts of climate change, land-use change, and contamination on water and ecological resources. We also incorporate data into these simulations to rigorously address uncertainties.

 

Students may develop projects with me on:

- Ecohydrological modeling of the interactions between vegetation dynamics and soil moisture movement between the land surface and groundwater aquifers. Projects may focus on the Mojave Desert, Minnesota field sites, or other locations with water resources concerns.

- Reactive transport modeling of contaminants and/or natural solutes as they move through aquifer sediments and interface with the unsaturated zone and surface waters. Applications may cover contaminant sites or biogeochemical cycling.

- Statistical method (data assimilation / inverse modeling / model calibration) development to combine field and/or remotely sensed data with numerical process models in ways that tackle computational challenges and non-linearity / non-Gaussianity. Field-oriented projects may address optimal observational designs.

- Interdisciplinary social and biophysical dimensions of hydrologic and related earth systems.  Read more here about my Tribally directed research project on wild rice aquatic ecosystems.

 

The University of Minnesota encompasses the Water Resources Science Program (http://wrs.umn.edu/), LacCore (http://lrc.geo.umn.edu/laccore/), the Minnesota Geological Survey (http://www.mngs.umn.edu/), St. Anthony Falls Laboratory (http://www.safl.umn.edu/), and the Institute on the Environment (http://environment.umn.edu/).

 

Interested students should have a desire to work on problems spanning diverse components of the earth sciences, come with strong quantitative and computational interests, and feel enthusiastic about working as part of a dynamic research team. Contact: Crystal Ng (gcng@umn.edu)