Assured PNT and Sensor Fusion Research Associate

Perform high-level independent GNSS signals and software research relevant to the interests of SGL.Present and publish your research, both internally and externally. This may involve participating in project reviews and technical interface meetings to present designs and test results to sponsors and other external organizations, as well as publishing work in scientific journals and presenting work at conferences.Contribute to the first-principles problem formulations, algorithm development, systems designs, software implementations, and collection methods for PNT applications in contested and degraded environments. This work draws on expertise in GNSS, estimation and detection theory, and multi-sensor fusion.Develop and evaluate techniques to detect, characterize, and mitigate GNSS spoofing and jamming. Develop methods to geolocate interference sources from terrestrial, airborne, and space-based platforms.Develop state estimators that tightly couple GNSS carrier-phase measurements with inertial, visual, radar, or other sensor data, including integer ambiguity resolution and integrity monitoring.Characterize and exploit signals of opportunity, including broadband LEO downlinks and other non-navigation signals, for ranging, timing, and positioning. Derive estimation performance bounds to guide system design.Plan and execute field data collection campaigns using software-defined radio, GNSS, and multi-sensor platforms. Analyze results and develop recommendations for improvement.Implement software algorithms in a collaborative environment. Work closely with team members to define interfaces between program components. Document implementations thoroughly and clearly. Define, implement, and execute test cases for program functions.Further develop knowledge of PNT, estimation theory, sensor fusion, and software development principles.Provide guidance and assistance to other full time employees and student employees.Provide technical leadership and identify new directions for research.Other related functions as assigned and occasional travel to support meetings.Required QualificationPhD in aerospace engineering, electrical engineering, physics, computer science, mathematics, or a related field.Experience developing software for scientific applications.Experience developing GNSS, radionavigation, or PNT estimation algorithms.Demonstrated record of authoring peer-reviewed scientific publications.Demonstrated record of presenting scientific content to technical and non-technical audiences.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 various 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 QualificationsExperience with GNSS spoofing and jamming detection, signal authentication, or interference characterization.Experience with RF emitter geolocation techniques, such as TDOA/FDOA or Doppler-based methods, from single or multiple platforms.Experience with carrier-phase differential GNSS (CDGNSS/RTK), integer ambiguity resolution, and navigation integrity.Experience with tightly coupled GNSS/inertial navigation, visual SLAM or bundle adjustment, or radar-based odometry and localization.Experience with LEO-based PNT. This includes characterizing the structure of non-cooperative signals, OFDM-based ranging, and time-of-arrival and D ppler estimation.Experience developing software-defined GNSS receivers, including real-time implementations and RF front-end integration.Experience with adversarial estimation or game-theoretic decision-making, such as counter-UAS applications.Experience collecting and curating large raw-RF or multi-sensor datasets.Experience with any of the following: multi-rate signal processing, remote sensing, radar, wireless communications, RF signal processing, ionosphere, reference frames, orbital mechanics, and digital design.Experience estimating orbits of spacecraft and satellites.Experience in writing proposals for and leading externally funded research projects.Experience with high-performance computing.Proficiency with programming languages such as Python, C/C++, FORTRAN, or similar.Experience developing on Linux and Windows platforms, including terminal-based environments (bash), version control (Git and GitHub/GitLab), and cloud services (such as AWS).Proficiency with LaTeX.Eligibility for immediate access to classified information.Minimum cumulative GPA of 3.0.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 coverageRetirement contributionsPaid vacation and sick timePaid holidaysPlease visit our Human Resources (HR) website to learn more about the total benefits offered.Salary Range$120,000-165,000+/negotiable depending on qualificationsWorking ConditionsStandard office conditionsRepetitive use of a keyboard at a workstationUse of manual dexteritySome weekend, evening and holiday workPossible interstate/intrastate travelRequired MaterialsResume/CV3 work references with their contact information; at least one reference should be from a supervisorLetter of interestUnofficial college transcriptsImportantfor 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 thatALLRequired 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 questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.