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$104k – $174k per year
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In office (United States)
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Middle · 3+ years exp
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Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Aug 6, 2026. The University of Texas at Austin scores B on the Alion truth index.

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The University of Texas at Austin is the flagship campus of the University of Texas System, opened in 1883 and now one of the largest public research universities in the United States. It enrols around fifty thousand students across colleges covering engineering, natural sciences, business, liberal arts, law, computer science and communications, and it operates major research units including the Texas Advanced Computing Center and the Oden Institute for computational engineering. Located in Austin, it is funded partly through the Permanent University Fund built on oil and gas revenue from state land, and it employs tens of thousands of academic and support staff.

Job Posting Title:

Acoustics Signal Processing Analyst (Engineering 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

Develop and examine signal processing algorithms and analyze data processing results to support the development, evaluation, and improvement of Navy SONAR systems. Participate in the research and development efforts within the Environmental Sciences Laboratory (ESL) of Applied Research Laboratories.

Responsibilities

  • Process and/or analyze acoustic data for use in SONAR system development. Includes the development of novel signal processing and automation algorithms to solve identified problems.

  • Conduct acoustic and system engineering to test and evaluate SONAR signal processing and automation algorithms developed both internally and externally.

  • Implement research grade software and analysis tools in MATLAB, Python, or similar programming languages. Software applications may include novel graphic visualizations, signal processing applications such as beamformers, automated trackers, automated target classifiers, applications for machine learning, and other algorithms as needed.

  • Preparation and review of analysis presentations and technical reports. Presentation of analysis results at internal and external working group meetings.

  • Support collaborative research efforts with other team members.

  • Other related functions as assigned.

Required Qualifications

  • Bachelor’s degree in Engineering, Physics, or related discipline.

  • Three or more years of experience and demonstrated proficiency with one or more of the following:

    • Signal processing

    • Automation algorithm design and evaluation

    • Acoustics

    • System/software design

    • Machine learning

    • Data processing and analysis

  • Experience in an applied research environment, contributing to projects from conception to implementation.

  • Experience with developing software tools using MATLAB, Python, or similar language.

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 and managing their time. The position will require: attention to detail, effective problem-solving skills, sound engineering judgment, ability to work independently with sensitive and confidential information, ability to maintain a professional demeanor and work as a team member without daily supervision, and effectively communicate with various groups of clients; ability 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 or Ph. D. in Engineering, Signal Processing, Acoustics, Physics, or related discipline.

  • Current or recent eligibility for access to classified information.

  • Five years of experience with one or more of the following:

    • Analysis of acoustic data

    • Signal processing or automation algorithm design

    • Estimating sonar system performance

  • Experience in machine learning, predictive analytics, and big data analysis.

  • Three or more years of experience with software design, programming, and analysis using MATLAB, Python, or similar language.

  • Experience working in both Windows and Linux environments.

  • Experience summarizing analysis results in technical reports and/or PowerPoint and presenting research results.

  • Proven ability to work independently, formulate research plans, take initiative, and mentor other staff.

  • Demonstrated excellent interpersonal communication and presentation skills.

  • Cumulative GPA of 3.0 or greater.

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

$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

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 RequiredMaterials 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 presentedto 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:

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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.

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