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Position: Research Associate - Computational Geoscientist
Institution: University of Texas at Austin
Department: Inst for Geophysics
Location: Austin, Texas, United States
Duties: To provide technical leadership and expertise to develop, optimize, and deploy software and workflows that enable new Earth and planetary science research utilizing high performance computing, visualization, and big data approaches. Lead and or assist in adaptation of existing codes. Algorithm and software development for multi-scale, multi-physics problems. Implementation and deployment of software. Optimization of software for high-performance, massively parallel computing platforms. Optimization of workflows including high throughput data processing. Construction of adjoint models. Other computational and data science tasks, as assigned
Requirements: Ph.D. in the Earth sciences, computational sciences, applied math, engineering, physics, or a related field; three years' experience working in a computational research position; proficiency in at least one common programming language, such as scientific Python, C/C++, or F90; ability to work independently under established deadlines and as part of a team; strong oral presentation and interpersonal communications skills; ability to travel to partner and collaborator institutions, relevant conferences, etc. Equivalent combination of relevant education and experience may be substituted as appropriate
   
Text: Research Associate - Computational Geoscientist Hiring department Inst for Geophysics Monthly salary OPEN Hours per week 40.00 Standard from 800AM to 500PM Posting number 18-04-11-01-0708 Job Status Open FLSA status Exempt Earliest Start Date Immediately Position Duration Funding expected to continue Position open to all applicants Location Austin - J. J. Pickle Research Campus (North Austin) 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: List of publications and Statement of Research Achievements and Interests Instructions for submission of these materials will be provided at the time the online application has been completed. Additional Information Purpose To provide technical leadership and expertise to develop, optimize, and deploy software and workflows that enable new Earth and planetary science research utilizing high performance computing, visualization, and big data approaches. Essential Functions Lead and or assist in adaptation of existing codes. Algorithm and software development for multi-scale, multi-physics problems. Implementation and deployment of software. Optimization of software for high-performance, massively parallel computing platforms. Optimization of workflows including high throughput data processing. Construction of adjoint models. Other computational and data science tasks, as assigned. Marginal/Incidental functions Other related functions as assigned. Required qualifications Ph.D. in the Earth sciences, computational sciences, applied math, engineering, physics, or a related field; three years' experience working in a computational research position; proficiency in at least one common programming language, such as scientific Python, C/C , or F90; ability to work independently under established deadlines and as part of a team; strong oral presentation and interpersonal communications skills; ability to travel to partner and collaborator institutions, relevant conferences, etc. Equivalent combination of relevant education and experience may be substituted as appropriate. Preferred Qualifications Peer-reviewed publications; five or more years working at computational research positions in academic institutions or government laboratories; demonstrated research experience in the Earth and planetary sciences (e.g., geodynamics, climate dynamics, seismology and exploration geophysics, or dynamo studies); demonstrated success in preparing proposals in competitive funding environments; and proficiency in more than one programming language. Working conditions May work around standard office conditions Repetitive use of a keyboard at a workstation Use of manual dexterity
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