Electrical/Computer Engineering Research Associate

The University of Texas at Austin•Austin, TX

58d•Onsite

About The Position

Applied Research Laboratories (ARL) is a University Affiliated Research Center at The University of Texas at Austin, located on the Pickle Research Campus in North Austin. ARL:UT focuses on fundamental research, innovative science, and applied engineering to support national security. The Space and Geophysics Laboratory (SGL) within ARL:UT conducts research in electromagnetic propagation, geo-positioning, and remote sensing, including monitoring GPS performance, specifying geodetic-quality GPS receivers, and designing/executing government tests for industry-produced receivers. This Research Associate position will provide electrical and/or computer engineering expertise, computational methods, and scientific rigor to advance the state-of-the-art in these areas.

Requirements

PhD in Electrical Engineering, Computer Engineering, Computational Science, Computational Engineering, Aerospace Engineering, Computer Science, Math, Physics, or related discipline.
Experience developing software in C++ or Python for scientific applications.
One or more years post-graduate experience developing statistical and computational algorithms.
Demonstrated record of authoring peer-reviewed scientific publications.
Demonstrated record of presenting scientific content to technical and non-technical audiences.
Dynamic skill set, willing to work with new technologies, highly organized and capable of planning and coordinating multiple tasks and managing time.
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.

Nice To Haves

Experience with Field Programmable Gate Arrays (FPGA), Register Transfer Languages (RTL) such as Verilog/VHDL, Very Large Scale Integrated Circuits (VLSI), and antenna design.
Demonstrated experience with analysis and interpretation of results of processing digital receiver data.
Experience with any of the following: software-defined radio, multi-rate signal processing, HF radio, remote sensing, radar, wireless communications, RF signal processing, radio astronomy/interferometry, ionosphere, geodesy, reference frames, orbital mechanics, and digital design.
Experience designing, implementing, and deploying robust scientific software.
Experience with high-performance computing.
Experience estimating orbits of spacecraft and satellites.
Experience employing statistical estimation techniques.
Experience modeling or employing models of geophysical phenomena.
Eligibility for immediate access to classified information.
Experience in writing proposals for and leading externally-funded research projects.
Experience using GNSS hardware and techniques.
Experience processing GNSS carrier phase signals.
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.
Minimum cumulative GPA of 3.0.

Responsibilities

Perform high-level independent electrical and/or computer engineering research relevant to the interests of SGL.
Present and publish your research, both internally and externally.
Participate in project reviews and technical interface meetings to present designs and test results to sponsors and other external organizations.
Publish work in scientific journals and present work at conferences.
Contribute to the first principles problem formulations, algorithm development, systems designs, software implementations, and collection methods for specialized engineering applications, employing expertise in electrical and/or computer engineering, computational methods, global navigation satellite systems (GNSS), estimation theory, and environmental modeling.
Implement software algorithms in C++ and Python 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 electrical and/or computer engineering computational methods, statistical analysis, C++ and Python, 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.
Occasional travel to support meetings.