TECHNICAL PROJECT MANAGER

Your resume must demonstrate at least one year of specialized experience at or equivalent to the ND-04 (GS-12/13 equivalency) pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: providing technical leadership in the development of the next generation of machine learning tools that will assist with the identification of acoustic and machinery health issues utilizing organic onboard monitoring systems.

Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series AND https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/0800/files/all-professional-engineering-positions-0800.pdf https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1300/physics-series-1310/ Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social).

Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.

You will be responsible for the coordination of projects across the C717 Emergent Technology portfolio that will yield multiple technical and programmatic benefits.,You will enable synergy across projects will promote commonality, reduce redundancy, foster collaboration and ensure the consistent application of engineering processes.,You will coordinate across projects improves the efficacy of workforce development efforts, and optimizes the assignment of tasking, strategic planning efforts, and cost and schedule reporting.,You will provide technical leadership in the development of the next generation of machine learning tools that will assist with the identification of acoustic and machinery health issues utilizing organic on board monitoring systems.,You will develop new measurement and analysis concepts for multi-disciplinary submarine signatures and techniques based on emerging technologies.,You will advance the state of the art in acoustic signature narrow band, broad band and transient detection and classification algorithm development.,You will serve as an expert in the develop techniques and processes for digitally tagging and archiving acoustic signatures acquired during acoustic trials and other operational events to facilitate machine learning algorithm development.,You will apply complex mathematical principles to massive raw acoustic data sets to extract previously unrecognized signature phenomena and detection methodologies.,You will oversee the research and development cycle of transitioning shore/lab based capabilities to fleet assets.