Postdoctoral Research Associate-Earth Systems Modeling
at Oak Ridge National Laboratory
Oak Ridge, TN 37830, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 26 Nov, 2024 | Not Specified | 31 Aug, 2024 | 5 year(s) or above | Fortran,High Proficiency,Communication Skills,Python,R | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
NEW POSTDOCTORAL RESEARCHER OPPORTUNITY AT OAK RIDGE NATIONAL LABORATORY
- Are you looking for a way to make a difference in the transition to a clean energy future?
- Are you wanting to turn your science and technology expertise toward solving the problems of a changing climate?
- Do you want to build your professional experience through collaboration with world-leading researchers and institutions, working together to improve climate resilience and prosperity?
If you answered “Yes!” to any of those questions, there is an exciting and unique opportunity available now to put your plans into action, through Oak Ridge National Lab’s Climate Change Science Institute (CCSI).
SUMMARY OF OPPORTUNITY AND TIMELINE:
CCSI is partnering with Vanderbilt University to launch a new project that will connect our combined science and technology strengths with communities and other stakeholders to serve real-world needs in the Southeast region and beyond. This project is part of a new CCSI initiative called Science and Technology for Applied Regional Solutions (CCSI STARS).
REQUIRED QUALIFICATIONS:
- Ph.D. in Earth sciences, environmental sciences, atmospheric sciences or a related field
- Experience in ecological modelling and/or Land Surface Modelling
- Knowledge and experience in developing workflows in HPC environment.
- Programming experience in Fortran, Python or R
- Experience in manipulating and analyzing Earth Observation data
- Strong communication skills
PREFERRED QUALIFICATIONS:
- Experience with the land model in the Energy Exascale Earth Model (E3SM) or Community Earth System Model (CESM)
- High proficiency in Python is strongly desired
Responsibilities:
- The researcher will synthesize and analyze observational data and modeling outputs from multiple Earth system models.
- The researcher will also evaluate the performance of the Energy Exascale Earth System Model (E3SM) land model (ELM) in Southeast forests using observational data, and execute and analyze high resolution ELM simulations to understand carbon storage and offset potential in SE forest ecosystems under different social-economic and land management scenarios.
- The researcher will have opportunities to interact with stakeholders to understand and address their needs using research tools and capabilities developed in the project.
- Through collaborations with Vanderbilt University, the researcher will interact and mentor graduate students in the Climate leaders Academy.
- The researcher will work closely with a highly skilled interdisciplinary team.
REQUIREMENT SUMMARY
Min:5.0Max:10.0 year(s)
Information Technology/IT
IT Software - Other
Other
Graduate
The climate leaders academy
Proficient
1
Oak Ridge, TN 37830, USA