Data Fusion Algorithm Developer

Laurel MD Johns Hopkins Applied Physics Laboratory (APL)

Description

Does the challenge of developing effective algorithms that fuse information from a wide variety of sources excite you? 

 

Do you thrive in a collaborative research environment, working alongside an energetic, multidisciplinary team of scientists and engineers? 

 

Are you ready to help the US secure and maintain leadership in the development and fielding of information fusion algorithms for non-kinetic defense systems? 

 

If so, we are looking for someone like you to join our team at APL!

 

We are seeking a highly motivated algorithm developer who will contribute to all phases of the data fusion algorithm development process. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges.

 

Accurate, timely, and actionable information derived from a variety of sources provides the warfighter advantages over its adversaries.  Our group at APL identifies, develops, and applies efficient and effective algorithms that leverage successes from estimation theory, information theory, and data science.  We produce critical multi-source data/information fusion and resource management algorithms for a variety of DoD missions.

 

In this role, you will: 

  • Investigate, develop, prototype, and communicate solutions that  improve warfighter capabilities
  • Design and exercise rigorous testing and validation methodologies to determine if/when algorithms fulfill warfighter needs/requirements
  • Interact with large data sets of various types, formats, and structures in a clear and appropriate manner to enable robust pre-processing, normalization, or other manipulations as needed
  • Prepare and present technical evaluations of algorithms to a broad audience that includes both decision makers as well as technical peers
  • Create, develop, and debug code to include the following: generate meaningful data plots; implement and/or exercise algorithms, and contribute to various multi-user software test beds

Qualifications

 

Required qualifications

  • BS degree in engineering, mathematics, computer science, or related field
  • Courses in linear algebra, calculus, and one or more programming languages (e.g., MATLAB, Python, C, C++)
  • Strong interest in statistics, probability, estimation theory, information theory, and data science or related subjects, including past course work or work experience in one or more of these areas
  • Ability to look critically at pre-processed data, algorithm output, and analysis results to identify potential issues and formulate key observations
  • Excellent written and verbal communication skills
  • Excellent time management skills and ability to balance near-term requests with long term goals
  • Ability to work collaboratively and effectively with a team
  • Ability to obtain a Interim Secret clearance by your start date and can ultimately obtain a Secret security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

 

Desired qualifications

  • MS degree in engineering, mathematics, computer science, or related field
  • 2+ years of experience applying one or more of the following: stochastic processes, detection and estimation theory, information theory, Bayesian inference of time varying systems, tracking and data fusion algorithms (e.g., KF, MHT, IMM, etc.)
  • Familiarity with one or more of the following: matrix calculus, object-oriented programming languages, data structures used in programming languages, sensing modalities (e.g., RF, EOIR)
  • Demonstrated ability to perform analyses using large data sets and complex code bases 
  • Demonstrated effective ability to contribute to and maintain team code base using version control, such as Git
  • Experience building presentations for both technical and non-technical audiences, effectively communicating high-level findings from analyses or other projects
  • Willingness to travel up to 10% of the time, as needed
  • Hold an active Secret clearance, Top Secret clearance, or TS/SCI-level access

 

Why work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

 

At APL, we celebrate our differences and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.

About Us

APL is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.

 

APL is committed to promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. Only by ensuring that everyone’s voice is heard are we empowered to be bold, do great things, and make the world a better place.

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