About the role#
The Algorithmic Solutions Group at the Analog Garage develops algorithms to bring intelligence to the physical world. We combine machine learning with domain expertise to turn raw physical data into insights. We are looking for a research intern to develop algorithms for a biomedical sensing project. You will apply AI and signal processing techniques to interpret radio-frequency signals. You will work with researchers across RF systems, machine learning, and signal processing while considering practical signal chain constraints.
What you'll do#
- Design and prototype algorithms for computational RF sensing, including analytical and learning-based methods for clutter suppression, detection, and reconstruction.
- Work on hardware-algorithm co-design.
- Use software simulations and real-world data to demonstrate feasibility and evaluate algorithm performance.
- Document results in internal technical reports.
- Potentially publish findings in top-tier conferences or journals.
What you'll need#
- Enrollment in a PhD program in Electrical Engineering, Computer Science, or a related field (preference for candidates within two years of completion).
- Strong fundamentals in machine learning, deep learning, and signal processing.
- Proficiency in Python and ML frameworks like PyTorch or TensorFlow.
- Strong analytical, problem-solving, and communication skills.
- Experience in AI/ML for computational sensing, imaging, or inverse problems is preferred.
- Familiarity with RF signals and systems is preferred.
- Domain knowledge in wave physics or electromagnetic simulation is preferred.
- Experience in AI/ML and optimization for hardware-algorithm co-design is preferred.
- A strong publication record and interest in biomedical sensing are preferred.
Location & details#
- This internship is located on-site in Boston, Massachusetts.
- The position is full-time.
- This is a paid internship.
- Sponsorship is not provided for this role.
About Analog Devices
Analog Devices is a semiconductor manufacturer based in Wilmington, Massachusetts. The company produces analog, digital, and software technologies for sectors including healthcare, robotics, energy, and mobility. It operates as a public company with over 27,000 employees. Annual revenue for the firm exceeded 11 billion dollars in the 2025 fiscal year.
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