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Spatiotemporal Data Researcher

1 month ago

Bethesda, United States Tenica Global Solutions Full time
Spatiotemporal Data Researcher

Job location: Bethesda, MD

The technical SME develops software algorithms capable of autonomously associating (re-identifying) all instances of the same subject (primarily people and vehicles, with extension to generic objects during the program) across all video footage in a collection: across space, across time and across differing video sensor types and collection geometries.

The following are required qualifications:
  • Bachelors' degree in physics, mathematics, computer science, or relevant engineering fields (e.g. electrical, computer, systems, software) with eight plus (8+) years of work experience, or Masters' degree with four plus (4+) years of work experience, or PhD with two plus (2+) years of work experience. PhD is desirable, but not absolutely required if work experience provides depth and breadth of technical understanding and evidence of problem-solving capability equivalent to what would be expected for a PhD.
  • Five (5) years of experience in computer vision R&D
  • Two (2) years of experience with R&D of machine learning and deep learning algorithms
  • One (1) year of experience managing a multi-disciplinary research and development (R&D) or Test and Evaluation (T&E) team
  • Two (2) years of experience creating program plans, work breakdown structures, and milestone schedules
  • Excellent writing and editing skills. Ability to develop succinct, comprehensive, understandable documents using complex data from multiple sources.
  • Excellent slide development and PowerPoint skills. Ability to visually communicate complex ideas at a high level for technically savvy, but non-expert audiences.
  • Strong organizational, problem solving, and time management skills. Must be detail oriented.
  • Ability to proactively manage multiple, concurrent tasks
  • Experience in the Intelligence Community (IC) or Department of Defense (DoD), including experience with requirements, CONOPS and research technology transition
Objective (Desired) Expertise

The following are relevant and strongly desired qualifications:
  • Experience with architectures to support large spatiotemporal data management and processing
  • Experience with the institutional review board (IRB) process for human subjects' research and IRB approved video collection
  • Experience with development in the Open Media Processing Framework (OpenMPF)
  • Experience with deployment of computer vision analytics in a large-scale framework
  • Experience managing/performing large-scale video collection, curation and annotation
  • Experience with video collection from fixed security/surveillance, airborne (e.g. drone, UAV), and ground mobile (e.g. cell phone, auto mounted, etc.) video sensors
  • Experience with image or video frame geo-localization


TENICA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.