Senior GNSS Data Scientist

University of Texas at Austin; Austin (TX); On-site; USD 104,000 - 174,000; Full time

Job summary

The University of Texas at Austin's Applied Research Laboratories seeks a Senior GNSS Data Scientist at the Pickle Research Campus to design, develop, and maintain software for satellite navigation signal analysis.

Responsibilities include Python/C++ data processing, GNSS data analysis, mentoring staff, and contributing to system testing, with security clearances and a strong emphasis on collaboration and independent work.

Qualifications

• Bachelor’s degree in Science, Engineering, Computer Science, or related field.
• Three years of related experience in Python or C/C++ and three years of data analysis.
• GPA 3.0 overall; 3.5 in major coursework.

Responsibilities

• Independently develop new data processing and analysis software using Python, C/C++, or scripting.
• Analyze observation and navigation data with established tools and libraries.
• Contribute to GNSS data analyses and characterizations.
• Identify improvements to GNSS data collection and analysis; develop new metrics and algorithms.
• Mentor staff, participate in project reviews, and document progress.
• Assist with data archive organization and maintain knowledge of GNSS domains.

Skills

Python

C/C++

Data analysis

Education

Bachelor’s degree in Science, Engineering, Computer Science, or related field

GPA 3.0 (3.5 in major coursework)

Tools

GitLab

AWS

SQL

Job description

Job Posting Title:

Senior GNSS 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 from FLSA

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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 Details:

Purpose

Design, develop, and maintain software and systems for the collection, processing, and analysis of satellite navigation signals in the Space and Geophysics Laboratory (SGL).

Responsibilities

• Independently develop new data processing and analysis software as required using Python, C/C++, or scripting to satisfy project objectives.

• Perform analysis of observation and navigation data using established software tools, repositories and libraries in accordance with established internal practices.

• Contribute to analyses and characterizations of GPS/GNSS

• Identify improvements and new methods for GPS/GNSS data collection and analysis. Evaluate and develop new metrics, algorithms, processing techniques with modernized GPS and GNSS signals. Contribute to testing and routine assessments of GPS and GNSS receiver performance.

• Guide project reviews and technical interface meetings. Identify future analytical software and hardware resource requirements. Assist with data archive organization and maintenance. Further develop knowledge of GNSS and related domains. Mentor fellow staff and become a subject matter expert.

• Document progress and completion of work.

• Other related functions as assigned.

Required Qualifications

• Bachelor’s degree in Science, Engineering, Computer Science, or related field.

• Three years of related experience in Python or C/C++.

• Three years of related data analysis experience.

Applicant must have a dynamic skill set, be willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks. 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 all 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

• Five or more years of GPS/GNSS coursework or experience.

• Five or more years of work experience with revision control systems such as Gitlab.

• Extensive experience and proficiency with Python and C/C++.

• Professional experience as a software developer.

• Understanding of data analysis and processing within AWS cloud infrastructure.

• Knowledge of design and development of digital signal processing (DSP) algorithms and techniques.

• Experience with SQL and relational databases.

• Cumulative GPA of 3.0 with a GPA of 3.5 in major coursework.

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.

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

$104.000-$174,000+/negotiable depending on qualifications.

Working Conditions

• Standard office conditions

• Repetitive use of a keyboard at a workstation

• Use of manual dexterity

• Some 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 transcripts

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.

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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 and 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 most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.