Remote Senior Research Scientist - Rangeland and ML

NMSU; New Mexico; Remote; USD 90,000 - 130,000; Full time

Job summary

NMSU Jornada Experimental Range is seeking a Senior Research Scientist to advance estimates of primary production in our rangeland ecosystems. You will lead improvements to the RAP production model, MOD17 algorithm, and the integration of field observations and eddy flux data, with emphasis on remote sensing and earth system modeling.

The role involves developing automated data workflows, applying machine learning to phenology classification, and enabling web-based access to harmonized climate

Qualifications

• Associate's degree with 11 years of relevant experience, or a Bachelor's with 9 years.
• Master's degree or higher preferred.

Responsibilities

• Appointment is for one year and contingent on external funding.
• Develop and maintain automated QA/QC and data processing for streaming data from the Jornada Experimental Range, including Phenocams, eddy covariance towers, wind instruments, and weather stations.
• Integrate multiple sources of climate data into a single database and make harmonized data available to users through web applications.
• Implement machine learning algorithms to improve the accuracy of plant phenological classification, ecological state mapping, and estimation of forage production.
• Perform other related duties as assigned.

Education

Associate's degree

Bachelor's degree

Master's degree or higher

Job description

NMSU Jornada Experimental Range is seeking a Senior Research Scientist to advance estimates of primary production in our rangeland ecosystems. You will lead improvements to the RAP production model, MOD17 algorithm, and the integration of field observations and eddy flux data, with emphasis on remote sensing and earth system modeling.

The role involves developing automated data workflows, applying machine learning to phenology classification, and enabling web-based access to harmonized climate