UT Austin Job Posting

This posting is Closed

Engineering Scientist Associate - Underwater Sensor Perception Algorithm Designer

Hiring department Applied Research Lab
Monthly salary $5,666 - $6,500+ depending on qualifications | Monthly
Hours per week 40.00 Standard from 800AM to 500PM
Posting number 18-03-26-01-4205
Job Status Closed
FLSA status Exempt
Earliest Start Date Immediately
Position Duration Funding expected to continue
Position open to all applicants
Location Austin - J. J. Pickle Research Campus (North Austin)
Number of vacancies 2
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 U.S., foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc.

Required Application Materials
  • A Resume is required in order to apply
  • A Letter of Interest is required in order to apply.
  • A List of 3 References is required in order to apply.

Note: The following additional materials are also required for consideration: Trancripts. References must be former employers. Instructions for submission of these materials will be provided at the time the online application has been completed.


Develop and implement algorithms to process 2D image and point-cloud echo data from sonars operating in complex environments to improve operator and object classifier performances. The implementations must be efficient to fit within the limited computing and power resources of a small underwater robotic vehicle.

Essential Functions

Implement and verify sonar data processing within an analysis computing environment. Develop embedded, real-time implementations of the algorithms. Participate in data acquisition exercises and sea-tests to support performance evaluations of sonar processing algorithms. Document results, report/present findings to team members, project directors, and participate in meetings with sponsors.

Marginal/Incidental functions

Other related functions as assigned.

Required qualifications

Bachelor's degree in engineering, math, or applied sciences. Experience related to the development and application of signal/image processing and/or machine learning algorithms. Experience with implementing and testing of data processing algorithms. Experience with analysis software packages such as Matlab or Mathematica, and general programming languages, such as C++, C, or Python. Demonstrated knowledge in one or more of the following areas: digital signal processing, image processing, machine learning, autonomous control, or statistical data analysis. 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. Evidence of skills in the following areas: working with new technologies, being highly organized, planning and coordinating multiple tasks, effective time management, attention to detail, effective problem solving skills, using excellent judgment, working independently with sensitive and confidential information, and maintaining a professional demeanor.

Preferred Qualifications

Master's degree in engineering, math, or applied sciences with emphasis sonar/radar signal/image processing algorithms and data analysis; or Bachelor's degree with more than 2 years of experience signal processing algorithm development. Demonstrated knowledge in one or more of the following areas: sonar or radar signal processing, multiple ping sonar (or radar) processing, statistical signal/image processing, signal detection and estimate techniques, machine learning, or autonomous control.

Working conditions

May work around standard office conditions Repetitive use of a keyboard at a workstation Use of manual dexterity Some weekend, evening and holiday work. Frequent use of manuals and books. May work in shared, windowless office space. Possible intrastate/interstate travel.

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