Johns Hopkins Applied Physics Laboratory-posted 24 days ago
$23 - $48/Yr
Intern
Laurel, MD
5,001-10,000 employees
Educational Services

Are you curious, willing to learn, and interested in signal processing, machine learning, artificial intelligence, embedded software development, SONAR or Navy IP and RF network communications systems? Interested in collaborating on small project teams with mentors to aid your career development? If you're pursuing a degree in computer engineering, electrical engineering, physics, or mathematics/statistics and want to develop algorithms for the undersea domain, consider joining our team! We strive to cultivate an environment of collaboration and partnership with our highly skilled staff who regularly tackle difficult problems that make a difference in real-world operations. We are seeking an intern to help us apply information processing, machine learning, deep learning, and signal processing to transform raw sensor data into meaningful information for our nation's warfighters. For example: You may assist in developing algorithms to process active and passive sonar returns to hunt for submarines or in developing novel graph learning approaches to process and analyze submarine communications network data. As a member of the Maritime Information Exploitation team, you will…

  • Provide contributions to projects developing innovative algorithms for real-world operations.
  • Work with raw and processed sensor data to find hidden patterns and weak signals, identify characteristics, and exploit those characteristics with novel algorithms.
  • Document your efforts in written reports and briefings to leadership.
  • Are pursuing a Bachelor's or Master's degree in computer engineering, electrical engineering, mathematics/statistics, physics, or related field.
  • Have working knowledge of a programming language such as Python, MATLAB, or C/C++.
  • Are willing to work effectively in small project teams.
  • Are curious about signal processing, machine learning, deep learning, or artificial intelligence.
  • Have a minimum 3.0 GPA on 4.0 scale. Note: When prompted to upload attachments, please include a copy of your college transcripts (unofficial transcripts are acceptable).
  • Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a final Secret level 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.
  • Algorithm development and testing experience and data analysis in languages like Python or MATLAB, particularly for time series or sensor data.
  • Experience with Fourier transforms, digital signal processing, feature-based machine learning models (e.g. support vector machines, random forests), and/or deep learning models.
  • generous benefits
  • robust education assistance program
  • unparalleled retirement contributions
  • healthy work/life balance
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