About the role#
The Algorithmic Solutions Group develops efficient algorithms to bring intelligence to the physical world. We fuse machine learning with domain expertise to convert raw physical data into actionable 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 (RF) signals from lossy media. You will work with researchers across RF systems and machine learning while working within 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.
- Develop hardware-algorithm co-design methods.
- 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 those 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 for sensing or imaging is preferred.
- Domain knowledge in wave physics or electromagnetic simulation and modeling is preferred.
- A strong publication record is preferred.
- Interest in biomedical sensing is preferred.
Location & details#
- Location: Wilmington, Massachusetts, United States.
- Modality: On-site.
- Employment: Full-time internship.
- Compensation: $22 to $41 per hour.
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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