Signal Processing Engineer - GTRI-ICL

Overview:

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry. GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry.   

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Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 

1. Students are our top priority.
2. We strive for excellence.
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6. We safeguard freedom of inquiry and expression.
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Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Project/Unit Description

The Information and Communications Laboratory (ICL) Communications Systems and Spectrum Division (CSSD) Advanced Communication Systems Branch (ACSB) is looking for a senior Signal Processing Developer who is eager and capable to support the development of innovative adaptive communications and spectrum learning systems and is looking for a dynamic and challenging work environment.
The Division's projects fuse advanced signal processing, adaptive communications technologies, advanced algorithms, machine learning, and sophisticated modeling and simulation to develop solutions for systems that include cognitive communications, intelligent wideband spectrum sensing, electronic warfare systems, and next generation cellular network technologies, including 5G / 6G. The Division supports work across many branches of the Department of Defense (DoD), including the Army, Navy, and Office of the Secretary of Defense. Key products include deployed prototype systems, communication and spectrum sensing systems, machine learning algorithms, physics-based modeling and simulation tools and system analyses.
The ideal candidate will be an experienced researcher with a desire to lead innovative integrated signal processing algorithms while applying engineering, physics, and math to communications and spectrum sensing problems of interest to the DoD.

Job Purpose

Develops and/or applies mathematical, statistical, computational, or modeling techniques to generate algorithms for the processing of analog or digital signals, which may be performed in hardware, firmware, or software systems. Development includes implementation of time and frequency signal algorithms, communications and spectrum sensing algorithms, image processing algorithms and/or the application of sensing and perception algorithms in computer vision, lidar, or other sensor processing modalities. Utilizes complex engineering and mathematical principles to compose algorithm structures for problem solutions including the application of filtering and data fusion methods.  Applies algorithms to application specific hardware by writing code in assembly language or in a higher level software environment and integrates or interfaces with additional systems.

Key Responsibilities

• Perform signal processing tasks with more limited direction from supervisor
• Develop expertise in specific areas -Contribute to white papers and proposals with supporting background or data analysis
• Contribute to technical reports/presentations of projects, journal articles, and conference presentations

Additional Responsibilities

• Develop and/or apply mathematical, statistical, computational, or modeling techniques to generate algorithms for the processing of digital or analog signals, which may be performed in hardware, firmware, or software systems.
• Development includes implementation of time and frequency signal processing algorithms, communications and spectrum sensing algorithms and/or the application of sensing and perception algorithms in lidar or other sensor processing modalities.
• Further tasks include utilizing complex engineering and mathematical principles to compose algorithm struc