Signal Processing Research Professional

Requisition Id 10081 

Level: RP02

Overview: 

We are seeking an Electrical Engineer or Scientist who will focus on software and hardware development and integration, particularly for signal processing applications.  This position resides in the Cyber Sensing and Analytics Group in the Cyber Resilience & Intelligence Division, National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL).   As part of our research team, you will perform research and development to identify candidate algorithms and implementations (both software and hardware) to process multi-channel signals in different environments across the Department of Energy (DOE), Department of Defense (DoD), and Intelligence Community (IC) mission areas.  Your role will include side-channel analysis, radio frequency and acoustic signal analysis, and active/passive systems to extract and learn information from both fortuitous and designed signals.  Our specific focus is towards the development of signal processing and analysis for cyber-physical systems security capabilities.

Major Duties/Responsibilities: 

• Review literature on algorithmic approaches and implementation
• Perform data acquisition, pre-processing, information extraction, and post-processing using existing algorithms
• Rapid prototyping of new signal processing algorithms & systems through the design, programming, testing, and demonstration stages
• Design and develop robust, user-friendly signal processing systems at higher TRLs for field deployments
• Work in a collaborative environment and represent ORNL well to external entities

Basic Qualifications:

• A Ph.D. or M.S. or B.S degree in Electrical or Computer Engineering with coursework in signal processing and/or communications theory
• Knowledge of fundamental algorithms for signal decomposition, noise reduction, and signal detection/classification
• Understanding of signal processing algorithms sufficient to explore and implement new ideas and concepts to solve niche problems
• Experience with transducers/sensors and data acquisition platforms
• Experience with software tools and packages such as Python/NumPy, MATLAB, Julia, R, C, or C++
• Ability to proactively work independently and as part of a team
• Demonstrated ability and willingness to acquire new knowledge and learn new skills
• Multiple peer-reviewed publications in reputable academic conferences & journals
• Superior interpersonal, verbal, and written communication skills

Preferred Qualifications:

• Experience with machine learning (ML) and/or artificial intelligence
• Experience with GPU-accelerated ML frameworks such as TensorFlow or PyTorch
• Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory 
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs

Special Requirements:

SCI clearance: This position requires the ability to obtain and maintain an SCI clearance from the US Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. As well, willingness to undergo a polygraph examination is required to maintain an SCI clearance.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.