AddressRequisition Id 12725
Overview:
The Environmental Sciences Division at Oak Ridge National Laboratory invites applicants for a Post-Doctoral Research Associate in Hydroinformatics. The successful candidate will support the analysis of energy-water interactions by using both process-based modeling and data science to provide multi-disciplinary solutions to energy challenges that have impacts from local to national-scale.
Basic Qualifications:
- A PhD completed within the past 5 years in Agricultural/Civil Engineering, Environmental Science, Geosciences, Hydroinformatics or related background
- Experience with researching or using hydrological and nutrient transport processes, statistical methods in hydrology/environmental sciences, basin scale modelling experience using process-based hydrologic models
- Experience with data science methodologies to build simulation models encompassing data acquisition and refinement, geospatial analysis, model parameter determination, and model optimization.
- Strong scientific software development experience, with expertise in Python particularly preferred
- Record of scholarly research, publications, and presentations including publication of data and models
Preferred Qualifications:
- Experience in surface hydrologic, hydraulic, and reservoir management modeling
- Experience in using remote sensing data, statistics, spatial analysis, visualization and data management
- Experience with machine learning, particularly as applied to hydrology or other environmental systems
- Experience developing software for, and running software, in a cluster computing environment
- Experience with software version control systems, with GitHub or GitLab particularly preferred
- Experience working with interdisciplinary teams and demonstrated collaborative approach.
- Experience with community software development and open-source programming will be highly valued
- Demonstrated ability to work independently and participate creatively in collaborative teams across an organization and between organizations
- Demonstrated ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to changing needs
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.
