Geospatial Software Developer and Data Scientist
$82K-$129K(Employer est.)
Job Posting Title:

Geospatial Software Developer and Data Scientist

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Hiring Department:

Applied Research Laboratories

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue

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Location:

PICKLE RESEARCH CAMPUS

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Job Description:

Development and implementation of geospatial algorithms for a variety of remote sensing technologies and applications (airborne and space-based). Innovate machine learning and deep learning techniques for exciting programs for diverse sponsor needs. Enhance and improve existing machine learning algorithms using modern machine learning methods. Innovate solutions to accommodate clustering and cloud based capabilities. Contribute to the Geospatial Laser Applications and Measurements group research tasks and objectives.

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Job Details:

Responsibilities
Develop new software and algorithms for remote sensing data production, evaluation and applications.
Collaborate with sponsor technical team and manage project progress.
Other related functions as assigned.
Required Qualifications
Bachelor's degree in engineering or computer science and three years of related experience. Applicant must have expertise in Python and Unix shell scripting. Proficient with algorithm design and development. Applicant must be comfortable using a Linux command line interface and have practical experience using Git/Gitlab/Github or other modern software version control system. Experience with one or more machine learning toolkits, like ScikitLearn, Keras, PyTorch, or Tensorflow. Experience with common machine learning algorithms and supervised training methods, like dimensionality reduction, clustering, ensemble learning, decision trees, SVMs, and CNNs. Ability to work 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.

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
Hands-on experience with state-of-the-art machine learning techniques using U-Nets, GANs, Autoencoders, or Reinforcement Learning. Demonstrated experience with end-to-end machine learning pipelines with real-world data-sets, including data cleaning, feature engineering, cross-validation, three-sets, and hyper-parameter tuning. Experience with R or MATLAB. Demonstrated experience with algorithm development for remote sensing data product processing, analysis and applications. Understanding of best practices of software development such as code reviews, test-driven development, and continuous integration/continuous deployment. Cumulative GPA of 3.0.
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.

Salary Range


$82,000-$129,000+/negotiable depending on qualifications

Working Conditions
Standard office conditions
Use of manual dexterity
Repetitive use of keyboard at a workstation
Some weekend, evening, or 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 transcripts
Important for 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 that ALL Required 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 questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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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.

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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.

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Background Checks:

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

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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.

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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.

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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.

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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]
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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 2019 report here or obtain a copy at University Compliance Services, 1616 Guadalupe, Suite UTA 2.206, Austin, TX 78701.
Applied Research Laboratories
3.7
Applied Research Laboratories
