AI Researcher Intern : Wireless Communications and 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