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Applied Mathematician for Undersea Warfare Data Analytics
Johns Hopkins Applied Physics Lab in Laurel, Maryland
 
 
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Date Posted 08/14/2019
Category
Science-Other
Employment Type Fulltime
Application Deadline Open until filled
 
 
 
 
 

Job Description 

Applied Mathematician for Undersea Warfare Data Analytics-19302 

 

Position Description
 

The Johns Hopkins University Applied Physics Laboratory (APL), a national leader in scientific research and development, located midway between Baltimore and Washington, DC is seeking an Applied Mathematician for Undersea Warfare Data Analytics professional to analyze and evaluate maritime based data for operations and threat assessment. 

Job Summary: Provide expertise and leadership to develop algorithms, models and conduct analyses to support threat assessment and modeling for Navy platforms and sensor systems involving projects in the Undersea Warfare and Maritime domains. 

Duties:

  1. Conduct or lead the analysis of diverse operations data relevant to the maritime or undersea domain to create knowledge about threat behaviors and assess vulnerabilities for both US and adversary platforms. (40%)
  2. Perform data analysis and mathematical modeling to evaluate operational effects of Naval undersea systems and sensor operations and the application of physics based simulations with new or novel models, to support Anti-submarine Warfare assessments and studies.. (25%)
  3. Develop analysis plans, conduct analyses, and interpret results from a physics based perspective. (20%)
  4. Interface with sponsors and other partner organizations in regard to ongoing and potential projects. (5%)
  5. Document results in written reports, journals and briefings for both sponsor and analyst audiences. (10%)

Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.

 

Qualifications

Required Qualifications: M.S. degree in Applied Mathematics, Operations Research, Engineering, Physics or other related technical discipline. Five to ten yeas of experience in data analysis and modeling of operational military or intelligence systems, assessing performance in current and anticipated operational scenarios. Experience with creating and validating physics based models of military platforms and sensors using software tools such as MATLAB. Demonstrated analytical, operational, problem solving, and organizational skills. Must be self-motivated and capable of leading technical teams. Excellent written and verbal communication skills. 

Desired Qualifications: PhD degree with experience in performing quantitative analyses using diverse observational data. Demonstrated ability to discover features and patterns in data that identifies the characteristics and behaviors of systems, components or sensed objects. Experience in the Maritime Intelligence or Undersea Warfare domain. Computer programming experience in C/C++, SQL, Java or equivalent. 

Security: Top Secret Clearance is required to perform the essential functions of the job. Applicants selected will be subject to a Government security investigation and must meet the eligibility requirements for an SSBI and access to classified information. Preference for current SSBI. Eligibility requirements include US citizenship. 

Benefits: APL offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, significant educational assistance, a scholarship tuition program for staff with dependents, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.jhuapl.edu. 

Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or protected Veteran status.


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Primary Location

 *United States-*Maryland-*Laurel 

Schedule

 Full-time
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