"Postdoctoral Fellow - Geography - 528242"

Posted: 08-Jan-26

Location: Tuscaloosa, Alabama

Type: Full-time

Categories: Research - Laboratory/Non-Laboratory, Staff/Administrative

Internal Number: 528242

Pay Grade/Pay Range: Minimum: $53,500 - Midpoint: $66,900 (Salaried E8)

Department/Organization: 204431 - Geography

Normal Work Schedule: Monday - Friday 8:00am to 5:00pm

Job Summary:

The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty member who serves as a mentor for the postdoctoral appointee.

Additional Department Summary:

Applications are invited for a 2-year Postdoctoral Fellow as part of a research project funded under the auspices of the National Oceanic and Atmospheric Administration (NOAA) Cooperative Institute for Research to Operations in Hydrology (CIROH; https://ciroh.ua.edu/). CIROH, headquartered at the University of Alabama (UA), consists of a consortium of 28 academic institutions, non-profit organizations, and government and industry partners bringing together a powerful team of hydrologic researchers across the United States and Canada. CIROH’s research activities are tightly linked to research to operation activities at the NOAA National Water Center, co-located on the UA campus in Tuscaloosa.

The position is part of a large, multi-institution, project to advance the remote sensing of freshwater resources. The research will be conducted at the Environmental Remote Sensing Laboratory, under the direction of Dr. Hongxing Liu at UA Department of Geography and the Environment. The postdoctoral scholar will lead sediment remote sensing algorithm and foundation model development and implementation, remote sensing and field data acquisition and processing.

Additional Required Department Minimum Qualifications:

Ph.D. in one or more disciplines associated with geography, soil sciences, hydrology, civil engineering, or related discipline, with research expertise in geospatial AI, deep learning foundation models, hydrology, river science.

Candidates will need to have completed their Ph.D. or have it completed by the start of employment. Applicants should upload a cover letter, curriculum vitae (CV) and include at least two references in the reference section of the application. Please upload additional documents (e.g. published papers, software tools) to the “other documents” tab as needed.

Preferred Qualifications:

Water remote sensing, Python programming, GeoAI, deep learning foundation models, drone and field work experience.

Demonstrated high level of achievement in related research productivity and academic writing. Technical skills in computer programming, algorithm development and deep learning model implementation, and practical experience in drone and boat-based surveys are preferred.