Computational hydrology staff position at ORNL

[Painter, Scott]

The Watershed Systems Modeling Group at Oak Ridge National Laboratory is looking for a computational hydrologist to work on ATS development and application. This is a regular staff position. Please pass this on to anyone who might be interested and feel free to contact me directly if you have questions. The link for applying is 

 

https://career-hcm20.ns2cloud.com/sfcareer/jobreqcareer?jobId=6403&company=utbattelleP

 

Thanks, 

 

Scott Painter 

pain...@ornl.gov

 

Scott L. Painter, PhD

Distinguished R&D Staff and

Watershed Systems Modeling Group Leader

Environmental Sciences Division

Oak Ridge National Laboratory

pain...@ornl.gov

 

Overview: 

The Watershed Systems Modeling Group within the Environmental Sciences Division (ESD) at Oak Ridge National Laboratory seeks a computational hydrologist or computational watershed scientist to help develop next-generation watershed modeling tools for assessing water availability and water quality in a changing climate. We are seeking a highly motivated, organized and talented individual to join a growing, multi-disciplinary team of researchers who are developing new modeling tools for watershed hydro-biogeochemical function based on state-of-the-art parallel integrated surface/subsurface simulations and emerging machine learning methods.

 

Major Duties/Responsibilities:  

If selected, you will contribute to development, performance optimization, and testing of multiscale and spatially resolved models of groundwater and watershed hydrology and reactive transport using mid-range and leadership class supercomputers. Working with others, you will evaluate the new models with observations and participate in projections of water availability and water quality in a changing climate. 

 

Qualifications Required:

 A PhD and at least two years post-PhD experience in hydrology, engineering, applied mathematics, computational science or a related field is required as is demonstrated experience in high-performance computing. Demonstrated experience with spatially resolved simulations on high-performance computers is essential. Excellent oral and written communication skills and the ability to work both independently and as a key contributor to a multidisciplinary team are also required. 

 

Preferred Qualifications:

Experience with groundwater hydrology, catchment hydrology, reactive transport modeling, or related application areas would be highly advantageous. Experience with C++, Python, software engineering for research codes, and parallelization of unstructured-mesh codes would also be an advantage. Experience with machine learning applied to hydrology or other environmental systems is also of interest. 

 

About the Environmental Sciences Division (ESD): 

ESD is an interdisciplinary research and development organization with more than 60 years of achievements in local, national, and international environmental research. Our vision is to expand scientific knowledge and develop innovative strategies and technologies to help sustain the Earth’s natural resources.