The University of Texas at Austin Job Posting

This posting is Closed

Postdoctoral Fellow

Hiring department Cwe-PI-Sela
Monthly salary $4,075+ depending on qualifications
Hours per week 40.00 Standard from 800AM to 500PM
Posting number 17-10-30-01-0712
Job Status Closed
FLSA status Exempt
Earliest Start Date Immediately
Position Duration Funding expected to continue
Position open to all applicants
Location Austin (main campus)
Number of vacancies 1
General Notes

None provided

Required Application Materials

  • A Resume is required in order to apply
  • A Letter of Interest is required in order to apply.
  • A List of 3 References is required in order to apply.

Note: The following additional materials are also required for consideration: 2 representative publications Instructions for submission of these materials will be provided at the time the online application has been completed.

Additional Information


The urban water sector worldwide is facing growing challenges in providing adequate quantities and quality of water to a continuously growing population. The work involves developing automated data processing and analysis capabilities by using advances in technology through both demand and supply side perspectives.

Essential Functions

Analyze large data streams and developing automated data processing and analysis capabilities through the integration of modeling, statistical, and data mining tools using multi-level sources of information. Utilize knowledge of consumers and their consumption patterns and identify the most influential variables of water usage in order to solve network optimization problems and to support management and conservation strategies. Assist in writing research publications and proposals and interact with Graduate Research Assistants.

Marginal/Incidental functions

Other related functions as assigned.

Required qualifications

PhD in Civil Engineering, Mechanical Engineering, Industrial Engineering, Computer Science, or closely related field within the last three years. Significant experience in computer programming for scientific/engineering analyses is required. The ideal applicant will demonstrate: (1) excellent coding skills in Python, R, Matlab, or similar, (2) experience in working with analyzing large data streams, data mining, and statistical analysis, (3) experience in solving network optimization problems, and (3) a successful publication record.

Preferred Qualifications

Prior knowledge in pipe network analyses and hydraulic modeling, is a plus but is not required.

Working conditions

May work around standard office conditions Repetitive use of a keyboard at a workstation

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