CVTS - Computer Vision Research - Research Scientist

We are seeking a Scientific, Engineering, and Technical Assistance (SETA) Support Specialist to join our team in support of a government research organization dedicated to investing in high-risk, high-payoff research programs to tackle some of the most difficult challenges of national security.
The successful candidate will support the government program managers in the execution of the lifecycle of various research programs to include development of source selection materials, execution assistance, closeout, and transition. The SETA should be competent in Research and Development (R&D) programmatic reviews and procedures. The candidate will also be responsible for ensuring that project management best practices are followed by the individual programs to include performers, independent verification and validation (IV&V) entities, and within the government research organization itself.
The research programs you would support focus on developing advanced sensor and transmission technologies, innovative collection techniques that more precisely target desired information, and methods for collecting information from previously inaccessible sources. Additional efforts explore new approaches for integrating information from multiple sources to improve the quality, reliability, and operational utility of collected data.
 
Responsibilities

• Support the program managers in coordination, monitoring, communication, and integration of all technical aspects of the Program lifecycle that includes:
  • Coordinate across government, academic, and industry research teams.
  • Review and assess technical deliverables, milestones, and evaluation results.
  • Track risks, dependencies, and integration issues across performers.
• Prepare reports, technical summaries, and briefings for senior leadership.
• Serve as a liaison between performers, Test & Evaluation contributors, government and transition partners;
• Provide support for program related requirements for systems integration, design, development, modeling and simulation, data analytics and architecture design;
• Stay current on advances in technologies relevant to the research programs and perform technical studies as requested on topics of interest to the program managers.
• Provide technical support and expertise on new concepts relevant to the program managers.
• Support the evaluation of Seedling concepts

Qualifications
Required:

• Bachelors' degree in physics, mathematics, computer science, or relevant engineering fields (i.e., electrical, computer, systems, software) with eight plus (8+) years of work experience in one of these fields, or Masters' degree with two plus (2+) years of work experience.
• Two (2) years of experience in the development of trajectory analytics or human mobility modeling.
• Two (2) years of experience with R&D of spatiotemporal data modeling.
• Two (2) years of experience with R&D of machine 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.
• Ability to proactively manage multiple, concurrent tasks.
• 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.

Desired:

• Masters' degree or PhD in physics, mathematics, computer science, or relevant engineering fields (i.e., electrical, computer, systems, software) with four plus ( 4+) years of work experience.
• Two (2) years of experience with microsimulation of human mobility.
• Two (2) years of experience with architectures to support large spatiotemporal data management and processing.
• Two (2) years of experience in the Intelligence Community (IC), including experience with requirements, CONOPS, and transition.
• Four (4) years of experience managing a multi-disciplinary research and development

(R&D) or Test and Evaluation (T&E) team.

• Four (4) years of experience with R&D of machine learning algorithms.
• One (1) year of experience as a Project Manager or Deputy Project Manager
• Two (2) years of experience with utilization, development, and management of cloud environments and/or classified commercial cloud environments.