Postdoctoral Research Associate I, Ecology and Evolutionary Biology
Posting Number: req19105
Department: Ecology & Evolutionary Biology
Location: Main Campus
Address: Tucson, AZ USA
Position Highlights
We seek a creative post-doctoral scientist with experience in computational analysis and/or modeling of ecosystem processes and isotope biogeochemistry. The candidate will use statistical modeling and computational techniques to analyze observations of methane cycling under climate warming in an Arctic wetland/lake complex.The science goals of this project (a collaboration funded by the U.S. Department of Energy and the National Science Foundation's EMERGE Institute) are to discover and predict how methane-cycling microbial soil communities interact with wetland ecology and gas transport processes to affect ecosystem carbon and methane cycling across lakes and wetlands of Arctic Sweden.
The position is in the research group of Dr. Scott Saleska, with co-mentorship by Dr. Rick Wehr at Aerodyne Research, Inc., We work as part of a national and international team comparing ecosystem and isotope dynamics to molecular microbial ecology (e.g. of methane cycling organisms) from Arctic Sweden to Amazonia.
This is a year-to-year appointment, contingent upon funding and performance (funding is currently available for up to three years).
Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!
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Duties & Responsibilities
The candidate will
lead computational analyses and interpretation of observations of isotopic
composition of fluxes and concentrations of CH4 and CO2,
and work as part of an international team comparing carbon flux dynamics to the
molecular microbial ecology of methane cycling organisms. The candidate will
use a computational modeling framework (including exploration of machine
learning approaches) to interpret field observations; and collaborate with an
interdisciplinary team of ecosystem modelers, microbial biologists, and wetland
ecologists.
Knowledge, Skills & Abilities:
- Familiarity with C++ programming language
- Familiarity with machine learning techniques
- Willingness and ability to work independently when required
Minimum Qualifications
- Possess a doctorate degree upon hire.
- Experience in a technical background related to managing instrumentation.
- Experience
in publishing material in peer review literature
Preferred Qualifications
- Strong interest and experience in team-based interdisciplinary science.
FLSA: Exempt
Full Time/Part Time: Full Time
Number of Hours Worked per Week: 40
Job FTE: 1.0
Work Calendar: Fiscal
Job Category: Research
Benefits Eligible: Yes - Full Benefits
Rate of Pay: DOE
Compensation Type: salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required: Name-based criminal background check (non-security sensitive)
Number of Vacancies: 1
Contact Information for Candidates
Dr Scott Saleska
saleska@arizona.edu
Open Until Filled: Yes
Documents Needed to Apply: Resume, Cover Letter, and One Additional Document
Special Instructions to Applicant
Please include contact information for at least three professional references in your Talent application.
Diversity Statement
At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As a Hispanic-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.
