Post Bachelor

Project
PREP0003947

The applicant who is selected for this position will be part of a team of engineers and researchers conducting research and development (R&D) activities focused on accelerating the development and deployment of real-world test methodology to evaluate communications protocols in Uncrewed Aircraft Systems (UAS) for first responder solutions.

Work Location is Physically at NIST (Boulder, CO).

Computer Science Researcher

Qualifications
  • A Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
  • Knowledge of network communications, network routing, and radio signaling
  • Knowledge of robotics, UAS, or autonomous software programming (PX4, ArduPilot, AirSim, MAVLink)
  • Knowledge of software engineering for virtual simulation applications
  • Experience with modern AI tools and applications (AWS, GCP, Azure, MLFlow, SQL, BigQuery, Snowflake)
  • Experience with development and manipulation of software code, such as Python, C, C++, Qt, JavaScript
  • Knowledge of data structures, formats, and software coding curation processes
  • Experience with developing open-source code, identifying use cases, and evaluating dataset quality and
    representativeness
  • Knowledge of mathematical probability and statistics, and optimization methods
  • Knowledge of machine learning, including supervised and unsupervised learning, deep learning, and model evaluation
  • Knowledge of dataset biases and labeling issues
  • Knowledge of translating operational needs into solvable radio signal or networking problems
  • US Citizens Preferred
Research Proposal

Key responsibilities will include, but are not limited to:

  • Conduct a literature review and document criteria for drone communications simulator solutions and the
    datasets that are used to train and test them.
  • Prepare industry landscape identifying long-range communications, mesh networking, and best practices on developing methodologies of communications technologies.
  • Develop a software program for a new drone communications simulator platform or to retrofit an existing
    platform, integrating radio hardware communications components.
  • Develop open-source code and processes.
  • Create and collect measurement data for the drone simulator.
  • Document the dataset curation process for public use and determine the target public safety datasets and
    dataset enhancement options.
  • Participate in public safety working groups and stakeholder testing to compare simulations with live UAS flights and curate shared information from collaborators.
  • Evaluate drone simulator use cases and what datasets could be used to train and test them, as well as identify technology challenges and gaps to address.
NIST Sponsor
Terese Manley
Group
Public Safety Communications Research Division - HQ
Salary / Hourly Rate {Min}
$47,000.00
Schedule of Appointment
Full time
Start Date
Sponsor email
terese.manley@nist.gov
Work Location
Onsite NIST
Salary / Hourly rate {Max}
$67,000.00
Total Hours per week
40
End Date
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