Acoustics Signal Processing Analyst

University of Texas; Austin (TX); On-site; USD 89,000 - 120,000; Full time

Job summary

University of Texas on the Pickle Research Campus seeks an Acoustics Signal Processing Analyst to develop and evaluate signal processing algorithms for Navy SONAR systems. The role includes analyzing acoustic data, creating automation tools, and contributing to R&D in the ESL of Applied Research Laboratories.

The ideal candidate has a solid background in signal processing, acoustics, and programming in MATLAB or Python, with a focus on applied research and teamwork. U.S.

Qualifications

• Bachelor’s degree in Engineering, Physics, or related discipline.
• Experience with signal processing, automation algorithm design and evaluation, acoustics, system/software design, machine learning, data processing and analysis.
• Experience in an applied research environment.
• Familiarity with MATLAB, Python, or similar language.
• US Citizenship; eligible for access to classified information per project requirements.

Responsibilities

• Process and analyze acoustic data for SONAR system development.
• Develop novel signal processing and automation algorithms.
• Test and evaluate SONAR signal processing tools in Matlab, Python, or similar.
• Prepare analysis presentations and technical reports.
• Collaborate with team members and present research results.

Skills

Signal Processing

Automation Algorithms

Acoustics

Software Design

Machine Learning

Data Analysis

Education

Bachelor's degree in Engineering/Physics

Master's or PhD preferred

Tools

MATLAB

Python

Job description

## Acoustics Signal Processing AnalystApplylocations: PICKLE RESEARCH CAMPUStime type: Full timeposted on: Posted Todayjob requisition id: R\_00047672**Job Posting Title:**Acoustics Signal Processing Analyst**----****Hiring Department:**Applied Research Laboratories**----****Position Open To:**All Applicants**----****Weekly Scheduled Hours:**40**----****FLSA Status:**Exempt from FLSA**----****Earliest Start Date:**Immediately**----****Position Duration:**Expected to Continue**----****Location:**PICKLE RESEARCH CAMPUS**----****Job Details:**## PurposeDevelop 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 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.* Preparation of analysis presentations and technical reports.* Support collaborative research efforts with other team members.* Other related functions as assigned*.*## Required Qualifications* Bachelor’s degree in Engineering, Physics, or related discipline.* Experience 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 working in an applied research environment.* Familiarity 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 tomaintain 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.* Two or more 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.* One 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 NotesAn 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$88,500-$120,000+/negotiable depending on qualifications.## Working Conditions* Standard office conditions* Repetitive use of a keyboard at a workstation* Use of manual dexterity* Possible 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**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.