Date: Apr 28, 2022
Location: Oak Ridge, TN, US, 37831
Company: Oak Ridge National Laboratory
Requisition Id 7930
Overview: The Watershed Systems Modeling Group within the Environmental Sciences Division (ESD) at Oak Ridge National Laboratory seeks a hydrology modeler with experience in groundwater/surface water interaction. We are seeking a highly motivated, organized, and talented individual to join a growing, multi-disciplinary team of researchers who are developing and applying new modeling tools for watershed hydro-biogeochemical function based on emerging machine learning methods combined with state-of-the-art parallel integrated surface/subsurface simulations.
Major Duties/Responsibilities: The successful candidate will be responsible for development and evaluation of statistical learning and process-based models of groundwater/surface water interactions and river corridor biogeochemical processes. Working with others, you will evaluate the new models against observations, integrate them into spatially resolved watershed models running on high-performance computers, and participate in projections of water availability and water quality in a changing climate.
Basic Qualifications: A PhD in hydrology, engineering, applied mathematics, computational science, data science or a related field and at least six years post-PhD experience are required. Demonstrated experience with river corridor science and analytical and numerical modeling of environmental systems are required. Excellent oral and written communication skills and the ability to work both independently and as a key contributor to a multidisciplinary team are essential.
Experience with process-based groundwater/catchment hydrology models, nutrient transport and removal, statistical learning applied to environmental systems, and river geomorphology are highly advantageous. Familiarity with residence time-based descriptions of hydrologic systems is also advantageous.
About the Environmental Sciences Division (ESD):
ESD is an interdisciplinary research and development organization with more than 60 years of achievement in local, regional, national, and international environmental research. Our vision is to expand scientific knowledge and develop innovative strategies and technologies that will strengthen the nation’s leadership in creating solutions to help sustain the Earth’s natural resources. Our scientists conduct research, develop technology, and perform analyses to understand and assess responses of environmental systems at the environment-human interface and the consequences of alternative energy and environmental strategies.
The ESS section is world-renowned for large-scale experimental manipulations and is currently leading the US DOE flagship ‘Spruce and Peatland Responses Under Changing Environments’ (SPRUCE) field experiment (https://mnspruce.ornl.gov/). ESD staff also lead the Next Generation Ecosystem Experiment (NGEE) Arctic project (https://ngee-arctic.ornl.gov), and we are an integral partner in the NGEE Tropics research project (https://ngee-tropics.lbl.gov/). We also lead the Critical Interfaces Science Focus Area (CI-SFA, https://www.esd.ornl.gov/programs/rsfa/), which investigates the role of hydrology on the transformation of redox-sensitive elements, such as mercury, in a flowing stream system. ESS staff also lead the development of multiple land system components in the US DOE Energy Exascale Earth System Model (E3SM, https://e3sm.org/), are an integral part of the modeling-focused IDEAS-Watersheds project (https://ideas-productivity.org/ideas-watersheds), and co-lead the ExaSheds project (https://exasheds.org), which is integrating machine learning methods into watershed models.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
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ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.