Scientific Engineering Associate

This is an exciting opportunity to build new data QA/QC and processing capabilities for the AmeriFlux Network and contribute significantly to eddy covariance research across the Americas and the broader scientific community.

 

Date posted

June 1, 2023 2:30 pm

Application deadline

June 15, 2023 5:00 pm

Organization

Lawrence Berkeley National Lab

Location

  • United States

Job description

Lawrence Berkeley National Lab’s (LBNL) Climate & Ecosystems Division is seeking a highly motivated and skilled Scientific Engineering Associate to join the interdisciplinary Tech & Data Teams for the AmeriFlux Management Project. This is an exciting opportunity to build new data QA/QC and processing capabilities for the AmeriFlux Network and contribute significantly to eddy covariance research sites across the Americas and the broader scientific community. 

This person will have opportunities to participate in all facets of Data Team/Tech Team activities, build a professional network, and develop/demonstrate analytical skills for collaborative science. If you are passionate about environmental research, want to work with a dynamic team, and have the skills and experience we are looking for, we encourage you to apply! 

What You Will Do:

  • Conduct fieldwork in support of the AmeriFlux site visit program.
  • Assess the quality of flux and meteorological data submitted by individual sites and communicate the analysis results with site teams.
  • Collect, process, analyze, and interpret eddy covariance flux datasets.
  • Write reports and clearly communicate findings with external collaborators.
  • Develop and implement scientific data QA/QC and processing workflow in Python.
  • Plan and conduct short-term (2 weeks at a time) field campaigns with external collaborators.
  • Foster community engagement with the AmeriFlux Network through annual meetings, regional workshops, and online platforms. 

What is Required:

  • Masters (or equivalent) in biogeochemistry, ecohydrology, environmental engineering, biometeorology, Earth sciences or related fields are required before starting a position.
  • Demonstrated experience with the eddy-covariance technique, including, but not limited to, instrumentation, data collection, and data processing.
  • Experience with scientific programming languages in at least one of: R, Python, Matlab, IDL, or Fortran.
  • Strong analytical data skills. 

Desired Qualifications:

  • Demonstrated ability to publish research in relevant peer-reviewed journals.
  • Experience with instrumentation for land-atmosphere exchange observations (e.g., programming dataloggers, instrument maintenance/calibration).Field experience collecting environmental observations.
  • Experience and proficiency working in command line interface, particularly Linux environment.

We encourage applications to be submitted before June 15, 2023. 

 

For more details

https://jobs.lbl.gov/jobs/scientific-engineering-associate-5729?et=16gJKssaD