Software Development

Software Development : Summer Intern-Intelligent RF Signal Classification

Contacto

Your Rohde & Schwarz recruiting team is looking forward to receiving your application.

Info
Ciudad/región
Hillsboro (Oregon) (EE. UU.)
Nivel
Prácticas profesionales
Employment Type
Full-time
Ref. Number
15541
We're looking for someone who can help develop and train a CNN-based deep learning model to classify signals (e.g., Wi-Fi, Bluetooth, cellular, radar) in RF data.

Your tasks

  • Assist with the collection and preparation of RF signal datasets.
  • Handle model implementation and training.
  • Evaluate model performance using relevant metrics.
  • Review current literature for advancements in signal classification.

Application tips

Watch the video and learn all about our application process:

  • Application
  • Interview
  • Contact persons

Your qualifications

  • Rising Jr or Sr year in Computer Science, Computer Engineering or related field- Grad Students welcome!!
  • Minimum 3.0 GPA
  • Summer resident of the greater Portland, OR area. We are unable to provide housing or relocation for summer interns
  • US Citizen or Permanent Resident Skills we re looking for:
  • Solid foundation in machine learning concepts.
  • Familiar with standard deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Interest in RF signal processing and wireless communication.
  • Strong analytical and problem-solving skills.
  • Capable of self-directed learning within a team environment.

Interested?

We are looking forward to receiving your application!

This is an hourly position, paying $22-$27/hour, minimum of 30 hours per week.

Rohde & Schwarz is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age or any other characteristic protected by law.

We promote equal opportunities and welcome applications from people with and without disabilities. We offer an inclusive work environment where all individuals can develop their skills and talents regardless of gender, nationality, ethnic and social background, religion, worldview, age, sexual orientation, identity, and other characteristics.

#LI-DNI
Rohde & Schwarz is a global technology company with approximately 14,000 employees and three divisions: Test & Measurement, Technology Systems and Networks & Cybersecurity. For 90 years, the company has been developing cutting-edge technology, pushing the boundaries of what is technically possible and enabling customers from various sectors such as business, government and public authorities to maintain their technological sovereignty.

Our offer

  • Flexible working hour models

    Flexible working hour models

  • Training & continuing education

    Training & continuing education

  • Privately owned company

    Privately owned company

  • Promoting innovation

    Promoting innovation

  • Long-term & attractive work environment

    Long-term & attractive work environment

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