Data Scientist 2-Modeling Dryland Carbon and Water Fluxes - req# 35146

The Litvak Lab at the University of New Mexico is hiring a Data Scientist 2 to support cutting-edge machine learning modelling of carbon and water fluxes and scaling to the watershed scale.  The candidate will be responsible for processing of in situ ecosystem physiological measurements from ground based eddy covariance towers, and modification of existing model structure and development of novel algorithms to combine in situ ecosystem physiology measurements with gridded remote sensing data streams and products.  In addition, the candidate will interact with other members of the FOR-NM team, specifically those doing remote sensing and process-based modelling.

Oneyear of funding is available to start with likely extension to two years. 

See the Position Description for additional information.

• Employees who provide services or work in patient care or clinical areas are required to be in compliance with the University's influenza vaccination requirement.

Bachelor's degree in a relevant field; at least 5 years of experience directly related to the duties and responsibilities specified.

Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis.

• M.S. in Electrical and Computer Engineering 
• Familiarity with multi-modal deep learning architectures in Python
• Competency in distributed computing resources and high performance computing environments
• Familiarity with ecosystem scale monitoring of in situ carbon, water and energy fluxes
• Expertise in computer vision algorithmic design
• Familiarity with communicating complex learning and AI concept machine learning to audiences
• Familiarity with version control systems and experiment tracking software

Only applications submitted throughthe official UNMJobs site will be accepted. If you are viewing this jobadvertisement on a 3rd party site, pleasevisit UNMJobs to submit an application.

Positions posted with a Staff Type of Regular or Term are eligible for the Veteran Preference Program. See the Veteran Preference Program webpage for additional details.

The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.

The University of New Mexico requires all regular staff positions successfully pass a pre-employment background check. This may include, but is not limited to, a criminal history background check, New Mexico Department of Health fingerprint screening, New Mexico Children, Youth, and Families Department fingerprint screening, verification of education credentials, and/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280.html. Refer to https://policy.unm.edu/university-policies/3000/3200.html for a definition of Regular Staff.