RF​/Wireless Network Research Associate

** Job Posting

Title:

** RF/Wireless Network Research Associate**---
- **** Hiring Department:
** Applied Research Laboratories**---
- **** Position Open To:
** All Applicants**---
- **** Weekly Scheduled

Hours:

** 40**---
- **** FLSA Status:
** Exempt**---
- **** Earliest

Start Date:

** Immediately**---
- **** Position Duration:
** Expected to Continue**---
- ***
* Location:

** PICKLE RESEARCH CAMPUS**---
- **** Job Details:
**** Purpose
* * The Signal and Information Sciences Lab (SISL) is seeking a motivated individual to support and potentially lead research and development tasks relating to data science, machine learning, and algorithmic development related to RF networks. This may include tasks such as predicting propagation loss, testing new algorithms for link prediction, running network simulators, and predicting movement of nodes participating in a network.
** 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.##

Required Qualifications
* 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.

Applicant must have a dynamic skill set, willing to work with new technologies and signal processing and propagation modeling techniques, 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 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 Qualifications
* 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
** 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.

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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   to learn…