Professional Research Assistant
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Job Summary
Who We Are
What Your Key Responsibilities Will Be
- 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.
What You Should Know
Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute of Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor’s degree holders, graduate students, master’s degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
What We Can Offer
- The salary range for this full-time position is $54,000 - $65,000 annually.
- Onboarding/relocation assistance may be available, however, if within a 12-month period you exercise your right to willfully terminate your employment with the University of Colorado, you hereby agree to reimburse the department for your relocation expense.
Benefits
At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County’s largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.
Be Statements
What We Require
- A Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
What We Would Like You to Have
- 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.
Special Instructions
- Resume or CV
- Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position.
Posting Contact Information
Posting Contact Name: Lisa Valencia
Posting Contact Email: recruitprep@colorado.edu