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Lead Chief Scientist

Burlington, MA, USA | BAE Systems

  • Industry:
    Airlines/Aviation/Aerospace
  • Position Type:
    Full-Time
  • Functions:
    Biotech/R&D/Science
  • Experience:
    12-15 years
Job Description:
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FAST Labs, the research arm of BAE System s Electronic Systems, is searching for a Chief Scientist II to help drive the technical direction for new research in the Sensor Processing and Exploitation (SPX) Product Line. The SPX Lead Chief Scientist coordinates with Chief scientists within SPX as well as those in other FAST Labs product lines: Sensor Technologies (ST), Autonomy, Control, & Estimation Technologies (ACE), and Cyber Technologies (CT), RF EW and Advanced Electronics Technologies (R2E). Chief Scientists own a technical portion of a product line s strategic plan and plans, captures, and executes sponsored research programs and guides disruptive technologies into BAE System s Business Areas products and services. Chief Scientist s enable capture and execution of a technical thrust by being a trusted advisor to our customers and mentoring and working through senior researchers.


The ideal candidate would have a senior level research position in either the US Government or industry with a network of colleagues in the science and technology community. This network would span across the DoD, IC, and academia and include interactions at operational, strategic, and policy levels. Intimate knowledge of DoD and IC missions and their objectives is an essential dimension for this position. This position can be located in Burlington, MA, Reston, VA, or Arlington, VA


Typical Education & Experience


Typically a Bachelor's Degree and 12 years work experience or equivalent experience


Required Skills and Education


Desired technical leadership experience and interests include, but is not limited to two or more following technical areas:


Maritime systems, Underwater acoustics and Modeling


Artificial Intelligence, Machine Learning, Predictive Analytics in multiple domains


Automatic Target Recognition using Shape-based and Deep Learning Methods, Geospatial Intelligence Processing, Computer Vision


Assured Communications, Signal processing and Exploitation, Spectrum maneuver and dominance, Cognitive RF systems


Preferred Skills and Education


Desired technical leadership experience and interests include, but is not limited to three or more following technical areas:


Maritime systems, Underwater acoustics and Modeling


Artificial Intelligence, Machine Learning, Predictive Analytics in multiple domains


Automatic Target Recognition using Shape-based and Deep Learning Methods, Geospatial Intelligence Processing, Computer Vision


Assured Communications, Signal processing and Exploitation, Spectrum maneuver and dominance, Cognitive RF systems


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