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Infographic showing various Python Professor job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Research Asst Professor - Biology

Albuquerque, NM • On-site

University of New Mexico
See more jobs at University of New Mexicoexternal

Full-time

Medical, Dental, Vision, Life

Re-posted 27 days ago

University Of New Mexico rating

8.2

Company rating: 8.2 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

Job description

Research Asst Professor - Biology
Posting Number
req33122
Employment Type
Faculty
Faculty Type
Hiring Department
AS Biology General Administrative (048F)
Academic Location
College of Arts & Sciences
Campus
Main - Albuquerque, NM
Benefits Eligible
The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. In addition, UNM offers educational benefits through the tuition remission and dependent education programs. See the Benefits home page for more information.
Position Summary
We are seeking a Research Assistant Professor to join a collaborative team from UNM, conducting research on ecosystem-atmosphere exchange of carbon, water and energy in semi-arid ecosystems. Our group operates a network of nine eddy covariance flux towers sites distributed across a 1500 m elevation gradient in New Mexico (New Mexico Elevation Gradient or NMEG) that has measured ecosystem-atmosphere fluxes and associated physiological processes continuously for 18 years. We are installing a new tower in a riparian cottonwood forest and are seeking a candidate to process fluxes from this tower and develop research questions that use this tower, previous datasets from riparian towers in the region and the NMEG that examine how fluxes and processes in these rapidly changing biomes are responding to disturbance and climate change. The successful candidate will work with PI Marcy Litvak (UNM), and collaborate with a number of PIs across the Sevilleta LTER. The ideal candidate will be highly motivated, and demonstrate a record of experience and research productivity in one or more of the following areas: (i) EC flux tower or other land-surface flux datasets; (ii) physiological, ecosystem, ecohydrology, biometeorology or landscape ecology with an emphasis on analyzing large datasets; (iii) ecosystem modeling, particularly in water-limited environments. The position is available for one year initially, with possibility of 4 additional years of funding.
Qualifications
Minimum Qualifications:
  • Ph.D., at time of appointment, in Plant Physiological Ecology, Ecosystem Ecology, Earth System Science, Forest Hydrology, or a related field is preferred
  • Demonstrated programming expertise in Matlab, R and/or Python.

Preferred Qualifications:
  • Knowledge and understanding of plant physiological processes, soil moisture dynamics, experience measuring sap flux, soil water dynamics, and/or plant function
  • Excellent written and oral communication skills
  • Ability to work as part of a collaborative team with other researchers.
  • A demonstrated commitment to diversity, equity, inclusion, and student success, as well as working with broadly diverse communities.

Application Instructions
Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.
Please attach current CV with application, along with any other relevant documentation.
Applicants who are appointed to a UNM faculty position are required to provide an official certification of successful completion of all degree requirements prior to their initial employment with UNM.
For Best Consideration
For best consideration, please apply by 6/6/2025. This position will remain open until filled.
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.

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