Machine Learning Computational Sensing Research Intern

Are you a problem solver looking for a hands‑on internship position with a market‑leading company that will help develop your career and reward you intellectually and professionally? About Analog Devices Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers.

With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at  and on Linked In and X. At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts.

Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network. ADI’s culture values aligned goals, work‑life balance, continuous and life‑long learning opportunities, and shared rewards. The internship program features various lunch‑and‑learn topics and social events with other interns and full‑time employees. At ADI, our goal is to develop our interns so they are the first to be considered for full‑time roles.

The Analog Garage is ADI’s research & innovation lab, located in the heart of downtown Boston. We pioneer breakthrough technologies to solve high‑impact problems that drive tangible value. Bringing together engineers, research scientists, and business leaders, we develop new technologies and solutions in a fast‑paced and evidence‑driven innovation culture.

The Algorithmic Solutions Group at the Garage develops cutting‑edge, efficient algorithms to bring intelligence to the physical world. We fuse state‑of‑the‑art machine learning with deep domain expertise to convert raw physical data into actionable insights, solving the hard problems where off‑the‑shelf solutions fall short. We are looking for a motivated research intern to develop algorithms for a high‑impact biomedical sensing project, applying novel AI and signal processing techniques to interpret noisy, real‑world radio‑frequency (RF) signals from highly lossy media.

You will collaborate closely with researchers across RF systems, machine learning, and signal processing, while being bounded by practical signal chain constraints.

• Design and prototype algorithms to advance the state of the art in computational RF sensing, spanning analytical and learning‑based methods for clutter suppression, detection, and reconstruction, as well as hardware‑algorithm co‑design.
• Use software simulations and real‑world data to demonstrate feasibility and evaluate algorithm performance.
• Document results as internal technical reports, with opportunities to publish in top‑tier conferences or journals based on the significance of findings.

• Enrolled in a PhD program with a concentration in Electrical Engineering, Computer Science, or a related field.
• Preference will be given to candidates within two years of completing their PhD.
• Strong fundamentals in machine learning, deep learning, and signal processing.
• Proficiency in Python and ML frameworks (PyTorch or Tensor Flow).
• Strong analytical, problem‑solving, and communication skills.

• Strong publication record in top conferences or journals.
• Interest in biomedical sensing.
• Experience in AI/ML for computational sensing or imaging, and inverse problems.
• Familiarity with RF signals and systems…