AI Researcher Intern – Wireless Communications & Deep Learning
Location: Cambridge, UK
Type: Full-Time | PhD Graduate or Postdoc Level
Compensation: Competitive Package
Overview
Join a cutting-edge research team tackling some of the most exciting challenges at the intersection of AI and wireless communication systems. You’ll apply state-of-the-art deep learning approaches to real-world signal processing problems and have the opportunity to publish your work at top-tier venues such as NeurIPS or IEEE conferences.
This is a rare opportunity to work in a collaborative, international environment that blends theoretical research with high-impact industrial applications.
Key Responsibilities
-Develop innovative AI/ML solutions for wireless communication systems.
-Design and implement deep learning models to advance areas like MIMO, OFDM, and next-generation connectivity.
-Work closely with world-class researchers in Cambridge and internationally.
-Contribute to publications, patents, and presentations at leading global conferences.
Preferred Qualifications
-Currently pursuing or recently completed a PhD in Electrical Engineering, Computer Science, or a related quantitative field.
-Strong foundation in wireless communication systems, including MIMO and OFDM technologies.
-Demonstrated research excellence through publications or major projects.
-Proficiency in deep learning frameworks such as PyTorch or JAX.
-Familiarity with modern AI methods (e.g., transformer architectures).
-Excellent scientific communication skills and collaborative mindset.
-A passion for innovative, applied research that creates real-world impact.
Why Join Us?
-Shape the future of AI-powered communication technologies.
-Be part of a small, elite research team with access to global resources.
-Enjoy a highly supportive environment for publishing, experimentation, and technical growth.
If you are interested in this role please apply below or email #
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