{"id":101559,"url":"https://alion.io/job/utexas-acoustics-signal-processing-analyst","title":"Acoustics Signal Processing Analyst","company":{"id":3658,"name":"The University of Texas at Austin","domain":"utexas.edu","url":"https://alion.io/company/utexas","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":165,"ghost_share":0,"stale_share":0.909,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":88500,"max":120000,"currency":"USD","period":"year","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"Linux","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-11-03T12:22:38Z","board_verified":true,"closed_at":null,"days_open":84,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":84},"description":"Job Posting Title:\nAcoustics Signal Processing Analyst----\nHiring Department:\nApplied Research Laboratories----\nPosition Open To:\nAll Applicants----\nWeekly Scheduled Hours:\n40----\nFLSA Status:\nExempt from FLSA----\nEarliest Start Date:\nImmediately----\nPosition Duration:\nExpected to Continue----\nLocation:\nPICKLE RESEARCH CAMPUS----\nJob Details:\nPurpose\nDevelop 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.\nResponsibilities\nProcess 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.\n\nConduct acoustic and system engineering to test and evaluate SONAR signal processing and automation algorithms developed both internally and externally.\n\nImplement and 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.\n\nPreparation of analysis presentations and technical reports.\n\nSupport collaborative research efforts with other team members.\n\nOther related functions as assigned.\n\nRequired Qualifications\nBachelor’s degree in Engineering, Physics, or related discipline.\n\nExperience with one or more of the following:\nSignal processing\n\nAutomation algorithm design and evaluation\n\nAcoustics\n\nSystem/software design\n\nMachine learning\n\nData processing and analysis\n\nExperience working in an applied research environment.\n\nFamiliarity with developing software tools using MATLAB, Python, or similar language.\n\nApplicant 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\nmaintain 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.\nUS 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.\nPreferred Qualifications\nMaster’s degree or Ph. D. in Engineering, Signal Processing, Acoustics, Physics, or related discipline.\n\nCurrent or recent eligibility for access to classified information.\n\nTwo or more years of experience with one or more of the following:\nAnalysis of acoustic data\n\nSignal processing or automation algorithm design\n\nEstimating sonar system performance\n\nExperience in machine learning, predictive analytics, and big data analysis.\n\nOne or more years of experience with software design, programming, and analysis using MATLAB, Python, or similar language.\n\nExperience working in both Windows and Linux environments.\n\nExperience summarizing analysis results in technical reports and/or PowerPoint and presenting research results.\n\nProven ability to work independently, formulate research plans, take initiative, and mentor other staff.\n\nDemonstrated excellent interpersonal communication and presentation skills.\n\nCumulative GPA of 3.0 or greater.\n\nGeneral Notes\nAn 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.\nPlease 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.\nVisit our website (www.arlut.utexas.edu) for additional information about Applied Research Laboratories.\nUT Austin offers a competitive benefits package that includes: \n· 100% employer-paid basic medical coverage \n· Retirement contributions \n· Paid vacation and sick time \n· Paid holidays \nPlease visit our Human Resources (HR) website to learn more about the total benefits offered.\nSalary Range\n$88,500-$120,000+/negotiable depending on qualifications.\nWorking Conditions\nStandard office conditions\n\nRepetitive use of a keyboard at a workstation\n\nUse of manual dexterity\n\nPossible weekend, evening and holiday work\n\nPossible interstate/intrastate travel\n\nRequired Materials\nResume/CV\n\n3 work references with their contact information; at least one reference should be from a supervisor\n\nLetter of interest\n\nUnofficial college transcript\n\nImportant 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.\nImportant 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.\n----\nEmployment Eligibility:\nRegular 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.----\nRetirement Plan Eligibility:\nThe 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.----\nBackground Checks:\nA criminal history background check will be required for finalist(s) under consideration for this position.\n----\nEqual Opportunity Employer:\nThe 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.\n----\nPay Transparency:\nThe 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.\n----\nEmployment Eligibility Verification:\nIf 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.\n----\nE-Verify:\nThe 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:\n E-Verify Poster (English and Spanish) [PDF]\n Right to Work Poster (English) [PDF]\n Right to Work Poster (Spanish) [PDF]\n----\nCompliance:\nEmployees 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.\nThe 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.","description_format":"text","description_chars":10098,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Education","Science & Engineering","Higher Education","STEM Education"],"lifecycle":[{"event":"open","at":"2026-08-11T00:00:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 159 · green card filings: 17","filings_12m":159,"filings_prev_12m":199,"green_card_filings_12m":17,"median_offered_wage_usd":93466,"route":null,"cap_exempt":true,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.31,"p_room":0.28,"age_days":84,"expected_fill_days":30,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":120000,"is_top_pay":true},"html_url":"https://alion.io/job/utexas-acoustics-signal-processing-analyst","json_url":"https://alion.io/job/utexas-acoustics-signal-processing-analyst.json","meta":{"generated_at":"2026-11-03T20:18:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2962,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3658},"rest":"https://alion.io/mcp/rest/get_company?id=3658"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Futexas-acoustics-signal-processing-analyst"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Futexas-acoustics-signal-processing-analyst"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Futexas-acoustics-signal-processing-analyst"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/utexas-acoustics-signal-processing-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Futexas-acoustics-signal-processing-analyst"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":101559}},{"tool":"search_jobs","arguments":{"company":"utexas.edu","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":101559},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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