Undersea Signal Processing Intern: ML/DSP for Sonar

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 32,000 - 66,000; Part time

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking an intern to develop algorithms for sonar processing using information processing, ML, deep learning, and signal processing. You will work in the Maritime Information Exploitation group on small project teams with mentoring to support your career development.

Ideal candidates are pursuing a degree in Computer/Electrical Engineering, Physics or Mathematics/Statistics with a minimum 3.0 GPA, and they should be capable of

Qualifications

• Degree in Computer/Electrical Engineering, Physics or Mathematics with solid fundamentals.
• Experience or coursework in signal processing, ML, or AI is desirable.
• 3.0 GPA on a 4.0 scale is required.

Responsibilities

• Contribute to projects developing sonar-processing algorithms.
• Work with raw and processed sensor data to reveal patterns.
• Document algorithm design and performance in reports for leadership.

Skills

Python

MATLAB

C/C++

Education

Bachelor's or Master's in Computer Engineering, Electrical Engineering, Physics or Maths/Statistics

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking an intern to develop algorithms for sonar processing using information processing, ML, deep learning, and signal processing. You will work in the Maritime Information Exploitation group on small project teams with mentoring to support your career development.

Ideal candidates are pursuing a degree in Computer/Electrical Engineering, Physics or Mathematics/Statistics with a minimum 3.0 GPA, and they should be capable of