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
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