Position duration: 1 year, funding expected to continue based on performance
Position open to all applicants
Monthly salary: $4,075 negotiable depending on qualifications.
Hours per week: 40.00 Flexible from 7:00AM to 6:00PM
General notes: The Center for Water and the Environment (formerly the Center for Research in Water Resources) is a research unit of the University of Texas at Austin and is located on the J.J. Pickle Research Campus in Austin, Texas. Daily work will be conducted at CWE offices, supplemented by weekly visits to the main campus for collaboration with other researchers. Occasional travel for conferences might be required. The top candidates may be asked to complete a short coding exercise.
Develop a fast algorithm that is usable on both multi-core desktop workstations and 10,000+ core supercomputers. The solvers will be designed for compatibility with the existing StormWater Management Model (SWMM) and EPANET pipe network model.
Essential Functions: Develop state-of-the-art open-source numerical solvers for of network problems associated with urban water supply and stormwater runoff. The goal is a fast algorithm that is usable on both multi-core desktop workstations and 10,000+ core supercomputers. Solver code and linkages to existing code will 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. Other appropriate tasks deemed necessary by the project director.
Required qualifications: PhD in in Mathematics, Applied Mathematics, or any branch of Engineering within the last three years. Significant experience in High-Performance Computing (HPC). Ph.D. students that have defended or are soon to defend their dissertations may apply and will be considered for employment after their defense.
Preferred qualifications: The ideal applicant will demonstrate: (1) good coding skills, (2) an understanding of the latest advances in parallel computation for nonlinear equations, and (3) a successful publication record. A history of work on numerical solutions of network problems. Familiarity with pipe distribution networks and stormwater networks is also desirable, but more important is the candidate's experience with numerical algorithms and willingness to learn new applications.
Additional Salary Information: he 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. Health Insurance benefits are paid for by the University for all full time employees.
Internal Number: 18-01-02-01-0712
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