Postdoctoral Fellow - Hydrology - 530675

The University of Alabama • Tuscaloosa, AL

3d • $54,000 - $67,500

About The Position

The University of Alabama’s Civil, Construction, and Environmental Engineering Department is seeking a Postdoctoral Fellow with research interests and expertise in modeling and data analysis of hydrologic processes. The role provides an opportunity to continue scholarly activity and research after earning a Ph.D. or other terminal degree, under the direction of a senior faculty member who serves as mentor.

The fellow will conduct research in hydrology, including evaluating and developing next-generation (eco)hydrologic models and producing novel scientific insights regarding hydrologic responses and their controls during climate extremes. Initial appointments are for one year, with renewal contingent upon funding availability. The normal work schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m.

Requirements

• A Ph.D. or other terminal degree, by the employment start date, in Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or a related field.
• Knowledge of modeling and data analytics for developing simulation codes and conducting data analysis.
• Ability to articulate research objectives and hypotheses.
• Ability to work as part of a team.
• Excellent analytical ability and in-depth knowledge of at least one programming language.
• Successful completion of a pre-employment background investigation, including review of social media and other internet sources.

Nice To Haves

• Experience with numerical modeling and/or data analytics involving big data.
• Broad knowledge of hydrology.
• Experience applying machine learning.

Responsibilities

• Conduct research in the general area of hydrology.
• Evaluate and develop next-generation (eco)hydrologic models.
• Produce novel scientific insights about hydrologic responses and their controls during climate extremes.
• Develop simulation codes and conduct data analysis using modeling and data analytics.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree