Geospatial Data Scientist

Company: University of Texas at Austin
Location: Austin
Posted on: March 17, 2023

Job Description:

Job Posting Title: Geospatial Data Scientist ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue ---- Location: PICKLE RESEARCH CAMPUS ---- Job Details: Purpose The Signal and Information Sciences Lab (SISL) delivers capabilities to government customers for diverse applications, from information science, geospatial remote sensing, and modeling and simulation. SISL is seeking a motivated individual to support research and development tasks relating to geospatial data collection, analysis, and algorithm development. Responsibilities

• Developing, implementing, and testing algorithms to meet project requirements.
• Operating Unmanned Aerial System (UAS) hardware and software to produce 2D and 3D geospatial data products.
• Employing Machine Learning (ML), computer vision, and data visualization techniques to conduct in-depth data analysis.
• Implementing geospatial data products within simulated or virtual environments.
• Deploying and supporting software delivered outside of ARL:UT.
• Other related functions as assigned. Required Qualifications
  • Bachelor's degree in Geographic Information Systems (GIS), Computer Science, Engineering, or other related discipline.
  • Three years of applied research experience related to the functions of the position.
  • Experience using common data science tools and techniques for geospatial data product development and data visualization.
  • Experience using geospatial data products derived from lidar and/or stereo-photogrammetry.
  • Proficiency using Python for algorithm development, testing, and implementation.
  • Awareness of Unmanned Aerial System (UAS) hardware, firmware, and flight planning software.
  • Familiarity implementing machine learning, feature engineering, and/or other computer vision techniques.
  • Experience developing on Linux and Windows operating systems.
  • Demonstrated ability to work effectively, both independently and collaboratively, with a strong commitment to contribution and enabling the entire team. Applicant must have a dynamic skill set, willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks and managing their time. The position will require attention to detail, effective problem solving skills and excellent judgment. Ability to work independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively communicate with diverse groups of clients. Able to work under pressure and accept supervision. Regular and punctual attendance. US Citizen. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position. Preferred Qualifications
    • Master's degree in GIS, Computer Science, Engineering, or other related discipline.
    • Proficiency using geospatial data products derived from lidar and/or stereo-photogrammetry.
    • Proficiency using specific Python modules such as laspy, SciPy, GeoPandas, scikit-learn, and GDAL.
    • Experience operating a UAS for image and data collection.
    • Knowledge of commercial geospatial data sets for use in topographic analysis.
    • Experience using photogrammetric software to produce 3D data sets.
    • Experience using and implementing software code in C/C++.
    • Experience implementing machine learning, feature engineering, and/or other computer vision techniques.
    • Current or previously held remote pilot-in-command (RPIC) license. General Notes An agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc. Please mark "yes" on the application question that asks if additional materials are required. Failure to attach all additional materials listed below may result in a delay in application processing. Visit our website (www.arlut.utexas.edu) for additional information about Applied Research Laboratories. UT Austin offers a competitive benefits package that includes:
      * 100% employer-paid basic medical coverage
      * Retirement contributions
      * Paid vacation and sick time
      * Paid holidays
      Please visit our Human Resources (HR) website to learn more about the total benefits offered Salary Range $93,000-$175,000 Working Conditions
      • Standard Office Conditions
      • Repetitive use of a keyboard at a workstation
      • Use of manual dexterity
      • Possible weekend, evening and holiday work
      • Possible interstate/intrastate travel Required Materials
        • Resume/CV
        • 3 work references with their contact information; at least one reference should be from a supervisor
        • Letter of interest
        • Unofficial college transcript Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. ---- Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ---- Retirement Plan Eligibility: 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. ---- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. ---- Equal Opportunity Employer: 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. ---- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. ---- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. ---- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
          • E-Verify Poster (English) [PDF]
          • E-Verify Poster (Spanish) [PDF]
          • Right To Work Poster (English) [PDF]
          • Right To Work Poster (Spanish) [PDF] ---- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Keywords: University of Texas at Austin, Austin , Geospatial Data Scientist, Other , Austin, Texas