Additional Department Summary: The Department of Civil, Construction, and Environmental Engineering at The University of Alabama is seeking a candidate for a Postdoctoral researcher for a NOAA-funded project. This position will support a project that is enhancing the integration of data assimilation, deep learning techniques and remote sensing data pipelines into hydrologic modeling as part of the development of the Next Generation Water Resources Modeling Framework (NextGen). Initial appointment will be for one year. Renewal will be contingent upon demonstrated research productivity and availability of funds. The candidate will be advised by Prof. Hamid Moradkhani.

Required Department Minimum Qualifications: Ph.D. in hydrology, civil engineering, computer science, geoscience, or a closely related field. Candidates will need to have completed their Ph.D. or have it completed by the start of employment.

Skills and Knowledge: Strong interest in (or be already skilled in) the development and application of hydrologic models, data assimilation and artificial intelligence. Strong interpersonal skills to facilitate effective collaboration with academics, scientists, practitioners, and students. Outstanding capabilities in personal responsibility, taking initiative, innovative thinking, and communication proficiency.

Preferred Qualifications: Knowledge and experience in data assimilation artificial intelligence and machine learning techniques and at least two of the following: large-domain hydrologic modeling, open software development, high-performance computing.

Additional Department Summary: The Department of Civil, Construction, and Environmental Engineering at The University of Alabama is seeking a candidate for a Postdoctoral researcher for a NOAA-funded project. This position will support a project that is enhancing the integration of data assimilation, deep learning techniques and remote sensing data pipelines into hydrologic modeling as part of the development of the Next Generation Water Resources Modeling Framework (NextGen). Initial appointment will be for one year. Renewal will be contingent upon demonstrated research productivity and availability of funds. The candidate will be advised by Prof. Hamid Moradkhani.

Required Department Minimum Qualifications: Ph.D. in hydrology, civil engineering, computer science, geoscience, or a closely related field. Candidates will need to have completed their Ph.D. or have it completed by the start of employment.

Skills and Knowledge: Strong interest in (or be already skilled in) the development and application of hydrologic models, data assimilation and artificial intelligence. Strong interpersonal skills to facilitate effective collaboration with academics, scientists, practitioners, and students. Outstanding capabilities in personal responsibility, taking initiative, innovative thinking, and communication proficiency.

Preferred Qualifications: Knowledge and experience in data assimilation artificial intelligence and machine learning techniques and at least two of the following: large-domain hydrologic modeling, open software development, high-performance computing.