2027 PhD Graduate - Modeler and Data Analyst

Johns Hopkins Applied Physics LaboratoryLaurel, MD
Onsite

About The Position

We are seeking a Modeler and Data Analyst to help us design, prototype, and test novel sonar and electromagnetic systems and concepts. As a member of our team, you will contribute to advancing U.S. Navy capabilities through sensor system performance prediction and assessment. You will be joining a hardworking team of physicists, engineers, and mathematicians who take new acoustic and electromagnetic sensor systems from concept to reality in support of U.S. homeland security. We are passionate about understanding physical phenomena and how they may be utilized.

Requirements

  • PhD in Physics, Engineering, or Applied Mathematics
  • Knowledge of acoustic or electromagnetic wave propagation
  • Proficient in MATLAB or Python
  • Able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top Secret level clearance
  • U.S. citizenship

Nice To Haves

  • Experience in collecting sonar data and comparing to model predictions
  • Experience with electromagnetic sensors
  • Familiarity with acoustic source and receiver technology
  • Experience using high performance computing or software development best practices

Responsibilities

  • Conduct sensor system performance modeling for undersea warfare projects
  • Develop, maintain, and extend models of underwater acoustic or electromagnetic propagation and system performance
  • Analyze sonar or electromagnetic system data
  • Document and present results

Benefits

  • Robust education assistance program
  • Unparalleled retirement contributions
  • Healthy work/life balance
  • Retirement plans
  • Paid time off
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Short-term disability
  • Long-term disability
  • Flexible spending accounts
  • Training and development
  • Sign-on bonus
  • Relocation benefits
  • Locality allowance
  • Discretionary payments for exceptional performance
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