Full-Time

Postdoctoral Fellow in Water Systems

Posted on 12/13/2025

University of Texas at Austin

University of Texas at Austin

Compensation Overview

$65k/yr

Company Does Not Provide H1B Sponsorship

Austin, TX, USA

In Person

Category
Data & Analytics (1)
Requirements
  • Ph.D. acquired within the last three years in Earth Science (e.g. Hydrology, Hydrogeology, Geology, Geography), Civil Engineering, or closely related field.
  • Demonstrated experience and aptitude in a hydrology context with: (a) data analytics, wrangling, management, and synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development.
  • Demonstrated ability to meet deadlines and effectively disseminate research project results to professional peers.
  • Excellent written and oral communication skills.
  • Professional demeanor and strong interpersonal skills.
Responsibilities
  • Perform research in the hydrology field, including analysis and interpretation of large datasets using various analytical, statistical, and numerical techniques.
  • Contribute to the publication of scientific papers and presentation of findings to scholarly meetings and stakeholders.
  • Collaborate and coordinate with research program team members and participate in program development through proposals and other fundraising.
  • Provide support and service as needed to supervisor, the Bureau, and the Jackson School.
Desired Qualifications
  • Aptitude and experience with: (a) stream gauge data, (b) reservoir storage data, (c) stream gain/loss analysis, (d) groundwater-surface water interaction, (e) reservoir operations, (f) appropriation projections, (g) surface water modeling environments (e.g., Texas water availability models, HEC-RAS, etc.), (h) rainfall runoff process modeling, and (i) drought metrics.
  • Familiarity with Texas surface water resources and management practices (e.g., river basins, reservoirs, diversions, river authorities, etc.).
  • Experience working within an integrated team of scientists, engineers, and economists in a dynamic environment.
University of Texas at Austin

University of Texas at Austin

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