Local recruitment: Integrated Hydrology Model Development and Support

Oak Ridge National Laboratory

Oak Ridge, TN, USA 🇺🇸

Date: Apr 18, 2023

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id: 10573 

Overview:

The Watershed Systems Modeling Group within the Environmental Sciences Division (ESD) at Oak Ridge National Laboratory seeks an integrated hydrology model developer to contribute to the development and maintenance of parallel software for simulating watershed hydrologic and geochemical processes. You will join a dynamic and growing team of researchers who are using state-of-the-art simulation tools running on the U.S. Department of Energy’s high-performance computing facilities to better understand some of the most critical environmental issues including the effects of changing climate on water availability and water quality. We are committed to the idea that well-engineered software is necessary for scientific productivity.

Major Duties/Responsibilities:  

If selected, you will be be responsible for research code development, testing, maintenance, documentation, and deployment. You will support the work of multidisciplinary teams as we evaluate new process models against observations. You will also help integrate new process models 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:

  • An MS in engineering, hydrologic sciences, computational science, or a related quantitative science field and at least four years experience outside the university environment or a PhD in engineering, hydrologic sciences, computational sciences, or a related field is required.
  • Experience with spatially distributed hydrologic models is essential.
  • Experience with Python and modern software engineering practices and tools including test-driven development and Git are required.
  • Experience developing or contributing to large, complex scientific software systems for high-performance computing is 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.

Preferred Qualifications:

  • Experience with C++
  • Familiarity with software development lifecycles.
  • Experience with the Amanzi-ATS code.

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.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

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.


POSITION TYPE

ORGANIZATION TYPE

EXPERIENCE-LEVEL

DEGREE REQUIRED

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