Postdoctoral Fellow in Computing for Water Distribution Networks

University of Texas-Austin

Austin, TX, United States 🇺🇸

Purpose

Purpose of the position is to develop the next version of EPANET, an open source software that models the hydraulic and water quality behavior of water distribution piping systems for both major urban area and smaller communities.

Essential Functions

Adapt existing open-source code and write new code for solving flow and pressure in water distribution systems for cities. The project will be multi-language, including C++, FORTRAN, and Python. Other duties include preparing scientific papers for publication, collaboration with other scientists working on related codes in GitHub, mentoring graduate students in code and model usage. Other appropriate tasks deemed necessary by the project director.

Marginal/Incidental functions

Core tasks: enhancements to computational engine and water quality calculations; extensions of software functionalities (e.g. pressure-driven network flow analysis); improved graphical user interface; linkage with other modeling software (GIS/CAD).

Required qualifications

PhD in in Mathematics, Applied Mathematics, Computer Science, or any branch of Engineering within the last three years. Significant experience in computer programming for scientific/engineering analyses is required. Ph.D. students that have defended or are soon to defend their dissertations may apply and will be considered for employment once all degree requirements have been successfully completed.

Preferred Qualifications

The ideal applicant will demonstrate: (1) excellent coding skills in C, (2) an understanding of the latest advances in parallel computing, (3) experience in numerical solutions of network problems, (4) experience in software development for third-party users, and (5) a successful publication record. Prior knowledge in pipe network analyses and hydraulic modeling is a plus but is not required. More important is the candidate’s experience with numerical algorithms and willingness to learn new applications.

Working conditions

May work around standard office conditions Repetitive use of a keyboard at a workstation Use of manual dexterity n/a

A criminal history background check will be required for finalist(s) under consideration for this position.

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

If hired, you will be required to complete the federal Employment Eligibility Verification form, I-9. You will be required to present acceptable, original documents to prove your identity and authorization to work in the United States. Information from the documents will be submitted to the federal E-Verify system for verification. Documents must be presented no later than the third day of employment. Failure to do so will result in dismissal.


POSITION TYPE

ORGANIZATION TYPE

EXPERIENCE-LEVEL

DEGREE REQUIRED