What are the responsibilities and job description for the Post-Doctoral Associate in Coastal Resilience position at University of Louisiana at Lafayette?
Position Title: Post-Doctoral Associate in Coastal Resilience
Department : 2760|School of Geosciences
Responsibilities
Our team is looking for a Post-Doctoral Associate with relevant experience using mechanistic biogeochemical models in wetland research to lead a simulation project on the coast of Louisiana. The simulation will leverage a unique set of field observations to make predictions about the effects of acute saltwater intrusion on greenhouse gas fluxes from freshwater wetlands. We aim to advance our knowledge on the structural and functional resilience of coastal wetlands in urban and industrial settings.
The ideal candidate will have knowledge of DOE's Energy Exascale Earth System Model (E3SM), specifically within the E3SM Land Model (ELM). However, candidates with strong related experience will be considered, as this project offers the opportunity to build some of the skills needed for the modeling tasks.
This is a full-time position, extendible for at least six more months. Arrangements for remote working are possible for periods at any time or throughout the duration of the position.
The Wetland Ecosystems Science Lab, located at the School of Geosciences, where this position will be based, offers an inclusive lab culture that supports the success and career development of all members through funded workshops, conference attendance opportunities, guided mentorship in preparing and submitting publications, and writing grant proposals and future job applications.
Responsibilities
Required Qualifications:
- Master's degree in either Earth sciences, hydrology, environmental engineering, climate science, ecology, or a related field
Department : 2760|School of Geosciences
Responsibilities
Our team is looking for a Post-Doctoral Associate with relevant experience using mechanistic biogeochemical models in wetland research to lead a simulation project on the coast of Louisiana. The simulation will leverage a unique set of field observations to make predictions about the effects of acute saltwater intrusion on greenhouse gas fluxes from freshwater wetlands. We aim to advance our knowledge on the structural and functional resilience of coastal wetlands in urban and industrial settings.
The ideal candidate will have knowledge of DOE's Energy Exascale Earth System Model (E3SM), specifically within the E3SM Land Model (ELM). However, candidates with strong related experience will be considered, as this project offers the opportunity to build some of the skills needed for the modeling tasks.
This is a full-time position, extendible for at least six more months. Arrangements for remote working are possible for periods at any time or throughout the duration of the position.
The Wetland Ecosystems Science Lab, located at the School of Geosciences, where this position will be based, offers an inclusive lab culture that supports the success and career development of all members through funded workshops, conference attendance opportunities, guided mentorship in preparing and submitting publications, and writing grant proposals and future job applications.
Responsibilities
- Synthesize experimental data collected in the development of the project.
- Parameterize and run a recently developed version of ELM that represents wetlands at ecohydrological patch levels (https://doi.org/10.1029/2024MS004396 ) and publish the results.
- It is expected that the Post-Doctoral Associate will also participate in GRA mentoring as part of the training component of the position.
Required Qualifications:
- Master's degree in either Earth sciences, hydrology, environmental engineering, climate science, ecology, or a related field
- OR a Bachelor's degree and 2 years of relevant experience demonstrated through presentations and publications in either Earth sciences, hydrology, environmental engineering, climate science, ecology, or a related field will substitute for the Master's degree.
- ABD candidates are welcome.
- Ph.D. by the anticipated start date (Jan 1).
- Strong background in process-based modeling of wetland ecosystems, particularly the C cycle.
- Experience with land surface or Earth system models.
- Proficiency in scientific programming (e.g., Python, Fortran, or C ) and use of high-performance computing, or at least a desire to learn and develop skills to meet the needs of the project.
- Demonstrated ability to publish in peer-reviewed journals and work collaboratively in a research team.