RF​/Wireless Network Research Associate

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

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.

• 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.

• PhD degree in Engineering, Computer Science, or 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.

• 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.

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 ((Use the "Apply for this Job" box below).) for additional information about Applied Research Laboratories.

• 100% employer-paid basic medical coverage
• Retirement contributions
• Paid vacation and sick time
• Paid holidays

For more details visit our Human Resources (HR) website to learn more about the total benefits offered.

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

• 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

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

You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded.

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