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The University of Texas at Austin · 4 weeks ago

RF/Wireless Network Research Associate

Austin, TX

Full-time

Onsite

Mid, Senior Level

$120K/yr - $165K/yr

5+ years exp

The University of Texas at Austin is seeking a motivated RF/Wireless Network Research Associate to support and potentially lead research and development tasks in data science, machine learning, and algorithmic development related to RF networks. The role involves designing and testing algorithms, documenting research, and maintaining sponsor relationships.

Corporate TrainingEducationHigher EducationUniversities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Designing, researching, and testing state-of-the-art algorithms applicable to a range of projects

Documenting research in form of publications and reports

Develop and maintain sponsor relationships and programs

Develop and maintain strategic partnerships with collaborators

Other related functions as assigned

Qualification

RF networksMachine learningPythonNetwork simulatorsData scienceAlgorithm developmentResearch experienceTeam collaborationProblem solving

Required

PhD degree in Engineering, Computer Science, or other related discipline and demonstrated publication experience in relevant area

Experience in multiple of the following: RF networks, RF network data, network simulators, wireless networks

Demonstrated ability to implement and test machine learning based techniques in relevant or related problem domains in a research setting

Proficiency using Python for algorithm development, data science, and/or machine learning

Demonstrated ability to work effectively, both independently and collaboratively, with a strong commitment to contribution and enabling the entire team

Dynamic skill set, willing to work with new technologies and signal processing and propagation modeling techniques

Highly organized and capable of planning and coordinating multiple tasks and managing their 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 all 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

Five years of related experience

Experience working in a mixed team of researchers and developers to implement and deploy novel research in usable software

Multiple publications related to RF networks

Demonstrated ability to implement and test data science and machine learning based techniques on a variety of problem domains, including applications outside of RF networks

Demonstrated ability to implement and test algorithms in a research environment

Cumulative GPA of 3.0