GNSS Data Scientist Associate

• Possible interstate/intrastate travel

GNSS Data Scientist Associate

Applied Research Laboratories

All Applicants

40

Exempt from FLSA

Immediately

Expected to Continue

PICKLE RESEARCH CAMPUS

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

• 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. Provide supporting information for 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.
• Document progress and completion of work.
• Other related functions as assigned.

• Bachelor's degree in Science, Engineering, Computer Science, or related field.
• Python or C/C++ coursework or experience.
• Data analysis coursework or 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.

• Master's degree in Science, Engineering, Computer Science, or related field.
• GPS/GNSS coursework or experience.
• Work experience with revision control systems such as Gitlab.
• Demonstrated 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.

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 ((Use the "Apply for this Job" box below).) 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

$88.500-$120,000+/negotiable depending on qualifications

• 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

• Resume/CV
• 3 work references with their contact information; at least one reference should be from a supervisor
• Letter of interest
• Unofficial college transcripts

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.

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.

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

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable…