Assured PNT and Sensor Fusion Research Associate

University of Texas at Austin; Austin (TX); Sur place; USD 120 000 - 170 000; Plein temps

Avantages offerts par ce poste

100% employer-paid basic medical

Retirement contributions

Résumé du poste

University of Texas at Austin's Applied Research Laboratories seeks a Research Associate to advance secure, precise positioning, navigation, and timing across SGL programs. You will conduct GNSS research, fuse multi-sensor data, and develop algorithms for contested environments, including spoofing detection and geolocation of interference sources.

The role emphasizes independent work, collaboration with cross-disciplinary teams, publication of results, and potential travel to support field

Qualifications

• PhD in aerospace engineering, electrical engineering, physics, computer science, mathematics, or 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.

Responsabilités

• Perform GNSS research and software development for SGL.
• Present and publish research internally and externally at meetings and conferences.
• Develop first-principles formulations and algorithms for PNT in degraded environments.
• Create methods to detect GNSS spoofing and jamming and geolocate interference sources.
• Develop state estimators combining GNSS with inertial, visual, radar, or other sensors.
• Plan and execute field data campaigns using SDR, GNSS, and multi-sensor platforms.
• Implement software algorithms in a collaborative environment and document interfaces.
• Provide guidance to other staff and students; contribute to technical leadership.
• Travel to support meetings as needed.

Connaissances

Software for scientific applications

GNSS/PNT estimation algorithms

Peer-reviewed publications

Technical presentations

Formation

PhD in related field

Outils

Python

C/C++

FORTRAN

Description du poste

Job Posting Title:

Assured PNT and Sensor Fusion Research Associate

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Hiring Department:

Applied Research Laboratories

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt from FLSA

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue

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Location:

PICKLE RESEARCH CAMPUS

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Job Details:

Purpose

Applied Research Laboratories is a University Affiliated Research Center at The University of Texas at Austin, located on the Pickle Research Campus in North Austin. Through fundamental research, innovative science, and applied engineering, ARL:UT makes significant contributions in support of national security.

Within ARL:UT, the Space and Geophysics Laboratory (SGL) engages in research in electromagnetic propagation, geo-positioning, and remote sensing. The lab monitors the long-term performance of GPS, addresses the specification of government geodetic-quality GPS receivers, and designs and executes government tests for industry-produced receivers.

We are seeking a Research Associate to provide expertise in secure, robust, and precise positioning, navigation, and timing (PNT), and scientific rigor across a portfolio of technologies germane to the interests of SGL listed above, in order to advance the state of the art in these areas. The position focuses on navigation-level problems in contested and degraded environments. These include detecting, characterizing, and geolocating sources of radio-frequency interference and spoofing; fusing GNSS with complementary sensors; and extracting PNT from non-traditional signals, including those of LEO satellite constellations.

Responsibilities

• 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 Qualification

• PhD 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 Qualifications

• Experience 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 Doppler 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 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.

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