Acoustics Signal Processing Engineering Scientist R26156

Please Note: In order to be Considered for this position, you must be a US Citizen and complete an application on the ARL website.

Please submit application directly on UT Austin website for official consideration:
https://utaustin.wd1.myworkdayjobs.com/UTstaff/job/PICKLE-RESEARCH-CAMPUS/Acoustics-Signal-Processing-Engineering-Scientist_R_00026156

Salary Range: $93,000-$175,000+/negotiable depending on qualifications.

Job Description:

Contribute to research and development tasks in the Environmental Sciences Laboratory (ESL)

Job Details:

• 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 (may include travel to test sites for specific test events).
• 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.
• Supervision of junior personnel (including student employees).
• Other related functions as assigned.

Required Qualifications

• Bachelor's degree in Engineering, Physics, or related discipline and experience in applied research.
• Three years of experience with one or more of the following: signal processing, automation algorithm design and evaluation, acoustics, system/software design, machine learning, and/or data processing and analysis.
• Experience developing software tools using MATLAB, Python, or similar language.

Applicant must have a dynamic skill set, 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 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 diverse 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

• Advanced degree 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, and/ or estimating sonar system performance.
• Experience in machine learning, predictive analytics, and big data analysis.
• Two 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 skills.
• Cumulative GPA of 3.0 with a 3.75 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.

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

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 documentsto 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.

Job Type: Full-time

Pay: $93,000.00 - $175,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Employee discount
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Professional development assistance
• Relocation assistance
• Retirement plan
• Tuition reimbursement
• Vision insurance

Schedule:

• 8 hour shift

Education:

• Bachelor's (Preferred)

Experience:

• Machine learning: 2 years (Preferred)
• acoustics: 2 years (Preferred)
• using MATLAB, Python, or similar: 2 years (Preferred)
• Signal Processing: 3 years (Preferred)

Work Location: In person