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
Job Summary
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.
Responsibilities include designing, researching, and testing state-of-the-art algorithms, documenting research in publications and reports, and developing sponsor and collaborator relationships.
UT Austin offers a competitive benefits package including 100% employer-paid basic medical coverage, retirement contributions, and paid time off.
Matching Summary
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.
Salary
$120,000-$165,000+/negotiable
Skills & Requirements
Must-have
RF network data analysis
network simulator testing
machine learning techniques
Python for algorithm development
independent and collaborative work
Nice-to-have
working with new technologies
signal processing and propagation modeling
attention to detail
effective problem solving skills
professional demeanor
Key Requirements
PhD degree in Engineering, Computer Science, or related discipline
Publication experience in relevant area
Experience in RF networks, RF network data, network simulators, or wireless networks