Research Prime

Postdoctoral Research Associate, Computational Hydrologist

Organisation Name: ORNL
Organisation Type:
City:
State:
Country:

Job Description:

Requisition Id5838

Overview:

We are seeking a Postdoctoral Research Associate for the Computational Earth Sciences group in the Computational Science and Engineering Division (CSED). The candidate will develop and apply mathematical theory and models of hydraulics and hydrology for accelerator-based supercomputing platforms (e.g. Summit Frontier Aurora and Perlmutter) and to conduct simulations and analysis for applications including flood inundation weather prediction and Earth system modeling. CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences engineered systems and biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers devices and networked systems. It develops community applications data assets and technologies and provides assurance to build knowledge and impact in novel crosscut-science outcomes.

The candidate will be a postdoctoral scientist within the CES Group of the Advanced computing methods for Physical Sciences Section in CSED. The CES group is focused on the conduct of world-class research and development in Earth system modeling model-data integration large scale data analytics and machine learning and model benchmarking at DOEs Leadership Class Computing Facilities (LCFs) and its National Energy Research Scientific Computing Center (NERSC). The CES group has specific strengths in numerical methods simulation and analysis focused on terrestrial hydrology and biogeochemistry atmospheric and ocean dynamics aerosols regional climate ice sheets and sea level rise and the global carbon cycle.

Major Duties/Responsibilities:

Design or redesign and implement algorithms for simulation of hydraulics and/or meso- to global-scale hydrology on unique hybrid (CPU/GPU) supercomputing architectures.

Conduct simulation and analyses and performance tracking of computational kernels of shallow water equations standalone hydrologic models and hydrologic models coupled with other Earth system model components on various high performance computing platforms.

Collaborate with a diverse team of Earth system and computational scientists both within the CESG and across DOE Labs partner universities and other federal agency sponsors.

Publish research in peer-reviewed journals and agency reports and present results at national and international conferences.

Basic Qualifications:

Ph.D. degree in computational science hydraulics/hydrologic engineering applied mathematics Earth system science atmospheric science or a related field completed within the last 5 years.

2+ years of experience in model development simulation and/or analysis.

Preferred Qualifications:

Previous experience developing and applying models of surface or subsurface hydrology river transport and flow or the global water cycle;

Experience with FORTRAN C/C++ and Python;

Familiarity and parallel programming experience with MPI OpenMP OpenACC CUDA including performance-portable programming models such as Kokkos Legion and HPX;

Knowledge of commonly used data file formats and conventions (e.g. CF netCDF HDF);

Experience with high performance computing advanced statistical and machine learning methods and visual data analytics;

Strong motivation to conduct cutting-edge Earth system weather and flood simulation studies within multi-disciplinary teams;

Ability to report regular progress and publicize results through contributions to manuscripts reports and conference presentations; and

Excellent verbal and written communication skills.

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.

Relocation: Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview be sure to ask your Recruiter (Talent Acquisition Partner) for details.

For more information about our benefits working here and living here visit the About tab at https://jobs.ornl.gov/.

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.


Nearest Major Market: Knoxville


Posting Date: Sep 02, 2021
Closing Date:
Organisation Website/Careers Page: https://jobs.ornl.gov/job/Oak-Ridge-Postdoctoral-Research-Associate%2C-Computational-Hydrologist-TN-37830/743667900/


Subscribe for receiving latest updates in Computational Sciences