Electrical/Computer Engineering Research Associate

Phase2 Technology; Austin (TX); On-site; USD 120,000 - 165,000; Full time

Benefits offered by this job

Employer-paid medical coverage

Retirement contributions

Paid vacation and sick time

Paid holidays

Job summary

The University of Texas at Austin's Applied Research Laboratories invites applications for an Electrical/Computer Engineering Research Associate at the Pickle Research Campus. The role focuses on foundational research in electromagnetic propagation, GNSS, and remote sensing with a strong emphasis on computational methods and software development in C++ and Python.

Ideal candidates hold a PhD and have experience publishing work, presenting to diverse audiences, and performing independent research

Qualifications

• 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.

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.
• Contribute to problem formulations, algorithm development, systems designs, and software implementations.
• Implement software algorithms in C++ and Python in a collaborative environment; define interfaces and test cases.
• Further develop knowledge of computational methods, statistical analysis, and software development principles.
• Provide guidance and assistance to other employees and student employees.

Skills

Peer-reviewed publications

Presenting technical content

Independent research

Education

PhD in Electrical/Computer/Computational fields

Tools

C++

Python

Job description

Electrical/Computer Engineering Research Associate

Hiring Department: Applied Research Laboratories

Position Open To: All Applicants

Weekly Scheduled Hours: 40

FLSA Status: Exempt from FLSA

Earliest Start Date: Immediately

Position Duration: Expected to Continue

Location: PICKLE RESEARCH CAMPUS

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 electrical and/or computer engineering expertise, including computational methods, and scientific rigor across a portfolio of technologies germane to interests of SGL listed above in order to effect improvements to these interests and advance the state-of-the-art in these areas.

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. 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 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.
• Other related functions as assigned and occasional travel to support meetings.

Required Qualifications

• 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.

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 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.

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.

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.

Salary Range

$120,000-$165,000+/negotiable depending on qualifications.

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

Required Materials

• Resume/CV
• 3 work references with their contact information; at least one reference should be from a supervisor
• Letter of interest
• Unofficial college transcript

Employment Eligibility

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.

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. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 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.

E-Verify

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

• E-Verify Poster (English and Spanish) [PDF]
• Right to Work Poster (English) [PDF]
• Right to Work Poster (Spanish) [PDF]

Compliance

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.