Postdoctoral Research Associate

Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics Posting Number : req26727 Department : Biosphere 2 Department Website Link : Location : Tucson Campus Address : Tucson, AZ USA Position Highlights The Biosphere 2 Landscape Evolution Observatory (LEO) at the University of Arizona seeks an enthusiastic scientist or engineer to lead development and operation of one of the world's most advanced environmental Electrical Resistivity Tomography (ERT) observatories. LEO consists of three instrumented, 330 m experimental hillslopes designed to study the coupled evolution of hydrology, weathering, ecosystems, and biogeochemistry. The successful candidate will advance ERT as a central observational platform for monitoring water movement, subsurface structure, weathering, root‑zone dynamics, and ecosystem development in real time. The position offers exceptional opportunities to combine environmental geophysics, hydrology, soil science, ecology, geochemistry, and artificial intelligence through collaboration with researchers at Biosphere 2 and across the University of Arizona. Key Questions How does rainfall redistribute through evolving landscapes? How do plant roots alter subsurface hydrology? How do weathering and biological activity modify subsurface electrical properties? Can geophysical observations be assimilated into predictive ecosystem digital twins? Can autonomous AI systems optimize environmental monitoring and experimentation? Benefits health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more! Duties & Responsibilities Lead operation and maintenance of permanent ERT instrumentation within the Landscape Evolution Observatory. Design and execute new ERT experiments supporting rainfall, vegetation, and ecosystem manipulation studies in collaboration with an interdisciplinary science team. Develop automated data acquisition, calibration, and quality assurance workflows. Develop inversion methods for estimating spatial and temporal changes in soil moisture and subsurface properties. Integrate ERT observations with complementary sensor networks and environmental observations. Collaborate on coupling geophysical observations with mechanistic ecosystem, hydrological, and reactive transport models (e.g., EcoSIM, PFLOTRAN, CATHY) a part of the new DOE funded Genesis project at Biosphere 2. Develop new approaches using machine learning and AI to improve inversion, interpretation, and autonomous monitoring. Publish peer-reviewed research and contribute to external funding proposals. Mentor graduate students, undergraduate researchers, and visiting scientists. Knowledge, Skills, & Abilities: Strong quantitative and analytical skills. Excellent written and oral communication skills. Minimum Qualifications Ph.D. (or M.S. for Research Technologist) in Geophysics, Hydrology, Geological Engineering, Environmental Engineering, Earth Science, Physics, or related discipline. Experience with Electrical Resistivity Tomography. Programming experience (Python, MATLAB, Julia, or similar). Preferred Qualifications Experience with time-lapse electrical resistivity tomography (ERT) inversion techniques. Experience in hydrogeophysics. Experience with soil physics and/or vadose-zone hydrology. Experience designing, deploying, or maintaining environmental sensor networks. Experience with reactive transport modeling and/or hydrologic modeling. Experience applying machine learning or artificial intelligence (AI) methods to environmental, hydrologic, or geophysical research. Experience working collaboratively on interdisciplinary field experiments. Administrative Details 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: NIH salary guidelines, Depends on Experience 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 Target Hire Date: (none) Expected End Date: (none) Contact Information for Candidates: Scott Saleska | View email address on click.appcast.io Open Date: 8/6/2026 Open Until Filled: Yes Documents Needed to Apply: Curriculum Vitae (CV) and Cover Letter Special Instructions to Applicant: (none) Notice of Availability of the Annual Security and Fire Safety Report In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses. Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures. Paper copies of the Reports can be obtained by contacting the University Compliance Office at View email address on click.appcast.io. #J-18808-Ljbffr