STUDENT ASSISTANT-R&D - STUDENT ENGINEER - Machine Learning and Signal Processing
Southwest Research Institute

Job Info

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Who We Are:

Join the Signal & Embedded Technologies team, which focuses on developing signal processing capabilities on mobile platforms for intelligence and surveillance applications.

Objectives of this Role:

• Apply passions and interests in software defined radio, machine learning, or signal processing to the execution of complex research and development applications.
• Collaborate with multidisciplinary team of engineers and software developers to solve challenging signal processing problems.
• Summer 2025 position.

Daily and Monthly Responsibilities:

• Apply engineering principles and knowledge of programming languages to develop software solutions.
• Observe and assist in the design, development, and testing of software capabilities for applications in specialized radio communication, radiolocation, and electronic warfare programs.
• Work with engineering team to develop innovative solutions for automatic interception and geolocation of communication and electronic signals, to include the application of machine learning techniques.
• Assist with research objectives and efforts focused on developing enabling technologies that can be deployed to meet customer needs.

Requirements:

• Must be pursuing a Bachelors degree in Computer or Electrical Engineering.
• 0-5 years: Elective coursework or internships with focus on software applications, machine learning, artificial intelligence, signal processing, or signals & systems
• A valid/clear driver's license is required.

Special Requirements:

Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen.

Job Locations: San Antonio, Texas

For more information about this division, visit the Defense & Intelligence Solutions home page.

For benefits information at our San Antonio location, click here.
For benefits information at all other locations, click here.

An Equal Employment Opportunity/Affirmative Action Employer
Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Disabled/Veteran
Committed to Diversity in the Workplace

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