Cyber Fall Co-op

Are you someone who is motivated and excited at having an opportunity to learn and grow your skillset this fall? Do you want to collaborate with other researchers, scientists, and engineers in your field of study and apply your knowledge and skills on projects that solve real problems? Do you want to work with people that you can learn from and gain new skills? If you said 'yes' to any of these questions, then a fall co-op at STR is the co-op for you!

Our employees are the reason we have been successful in the past and the reason we will be successful in the future. Employee skills, talents, and work ethic are essential to our success. Join us this fall for the chance to work on something meaningful and challenging. You'll be paired with a mentor and get the chance to work on projects with our staff and solve hard problems to enhance our nation's security.

Job Description:

  • Students will work as part of project teams with mentorship from experienced staff
  • Collaborate with technical experts to solve problems related to cyber security, cyber vulnerability research, software system design, signal processing, image/video processing, machine learning, statistical estimation, and optimization
  • Support all phases of projects:
    • Problem design
    • Solution discovery
    • Development of prototype algorithms and systems in software and/or hardware
    • Experimentation and data analysis
    • System implementation integration for test and fielded systems
    • Technical presentation of results

Requirements:

  • Enrollment in a BS, MS or PhD degree program in electrical engineering, computer science, physics, mathematics, or related technical discipline
  • Strong academic record and interest in research
  • Background/experience in one of the following areas: signal processing, image/video processing, machine learning, cyber physical systems, reverse engineering, cyber vulnerability research, computer vision, computational hardware, embedded systems, RF hardware, software development, "big data" processing, scientific computing skills (MATLAB, python)

Perks:

  • Competitive pay
  • Flexible Working Hours

 

This position requires the ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government. 

STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.

STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.

STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info.


STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.

If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.

Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

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