PhD Student

Location
Honolulu, Hawaii
Salary
Up to $25,000 per year + benefits
Posted
Oct 05, 2017
Closes
Nov 04, 2017
Career Level
Student / Graduate
Education Level
PhD
Job Type
Internship
Relocation Cost
No Relocation
Sector Type
Academia

The Computational Hydrogeology and Uncertainty Quantification Lab at the University of Hawaii at Manoa (https://www2.hawaii.edu/~jonghyun/) is seeking applications for two PhD students (or exceptional MS students) in computational hydrogeology with an emphasis on 1) variably saturated density-driven groundwater flow and reactive transport simulation in high performance computing (HPC) environment and 2) optimal management of water resources with big environmental datasets. Applicants with a quantitative background on applied linear algebra and statistics, and experience in C++/Fortran/Python/Julia programming will be given preference.

The first appointment will support the NSF EPSCoR ‘Ike Wai project (https://www.hawaii.edu/epscor/) aimed at addressing the grand challenge of water sustainability in Hawaii. As a part of the project, numerical models will be integrated with hydro-geophysical and biogeochemical datasets for subsurface flow and reactive transport in Hawaiian aquifers. Research goals for this position include 1) development and software release of flow and reactive transport model capable of large-scale simulation in HPC environment, 2) assimilation of geophysics and geochemistry dataset into the numerical model to assess the sustainability of aquifers in Hawaii. The successful candidate will join the department of Civil and Environmental Engineering and Water Resources Research Center at the University of Hawaii at Manoa and is expected to work collaboratively with colleagues in NSF EPSCoR ‘Ike Wai project. HPC facility and travel are supported.

The second appointment will be involved in computational hydrogeology with big environmental data science. The successful candidate will work on one of these topics: 1) inverse modeling/data assimilation with new datasets in subsurface, river and coastal environment, 2) upscaling/homogenization/model reduction of subsurface transport process, 3) optimization & optimal control of water resources management system in a novel computing framework, and 4) big environmental data analytics with machine learning techniques. The candidate will join the department of Civil and Environmental Engineering at the University of Hawaii at Manoa and potentially collaborate with other research institutions and national labs. Computing facilities and travel are supported.

Interested applicants should email a CV, transcripts, and a one-page statement of past and present research goals to Dr. Jonghyun Harry Lee (lee.group.application@gmail.com). Informal inquiries are also invited by email. Review of applications starts immediately and will continue until positions are filled.

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