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Machine Learning for Computational Sensing Research Intern
Analogdevices
About this role
Join Analog Devices' Analog Garage research lab as a Machine Learning for Computational Sensing Research Intern. You will develop novel AI and signal processing algorithms to interpret noisy RF signals for a high-impact biomedical sensing project. This role offers the opportunity to collaborate with experts and contribute to cutting-edge research with potential for publication.
What we are looking for 6
- Design and prototype ML algorithms for computational RF sensing
- Interpret noisy RF signals for biomedical sensing applications
- Utilize Python and ML frameworks (PyTorch/TensorFlow)
- Collaborate with researchers in RF systems, ML, and signal processing
- Demonstrate feasibility through simulations and real-world data
- PhD student in EE, CS, or related field
Skills mentioned 2
Work authorization
- Must be a U.S. citizen or permanent resident.