"Postdoctoral Fellow - 528578"

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:

The Coastal Hydrology Lab at The University of Alabama is seeking candidates for a Postdoctoral Fellow position. This position is fully funded by external grants from NOAA. Computational modeling will be utilized, and a wide range of in-situ and remotely-sensed data, analytical and statistical tools/methods to characterize and quantify the extent to which coastal communities are exposed to compound flooding and how it will be exacerbated by sea level rise in the coming years. This position is expected to conduct innovative and applied research on compound flood inundation mapping and nonstationary coastal flood hazard assessment.

The position start date will be in April 2026 and for the initial appointment will be for one year. Renewal will be contingent upon demonstrated research productivity and availability of funds up to a period of four years.

Required Department Minimum Qualifications:

Ph.D. in Civil, Environmental, Coastal or Ocean Engineering/Sciences majoring in water resources, hydrology, hydraulics, or a closely related field. Postdoctoral 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, two first-authored writing samples and include contact information of at least three references. Please upload additional documents to the “other documents” tab as needed.

Skills and Knowledge:

Strong programming/scripting capabilities. Strong high performance computing skills. Strong written and verbal communication of research results.

Preferred Qualifications:

Experience in writing successful research proposals, and demonstrated ability of working in a multidisciplinary environment. Experience in coastal ocean hydrodynamic modeling (e.g., SFINCS, DFLOW-FM, MIKE, ADCIRC), coastal hazard assessment, model coupling, or model calibration and validation. Experience in machine learning and statistical/probabilistic analysis.