Job description
Our team has an immediate 8-month internship opening for an Assistant Researcher.
Responsibilities:
- Spearhead research efforts aimed at applying machine learning techniques to enhance sensing and imaging algorithms, focusing extensively on the integration of compressive sensing methodologies
- Collaborate with cross-functional teams to develop innovative approaches that leverage machine learning for improved performance and efficiency in sensing and imaging applications
- Conduct thorough literature reviews and stay abreast of the latest advancements in machine learning and compressive sensing, identifying opportunities for integration into ongoing research projects
Job requirements
What you’ll bring to the team:
- Currently enrolled Ph.D. students with a strong academic background and a proven track record of publications in any of the following areas or related fields:
- Imaging inverse problems
- Deep learning for imaging problems
- Large-scale optimization
- Radar/THz imaging
- Joint communications and sensing
- Multi-antenna and communication systems
- Demonstrated experience with experimentally measured data is an asset, showcasing the ability to apply theoretical knowledge to real-world scenarios effectively
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