AI Intern
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 Trei@microtech-global.com
Software & Artificial Intelligence: | A.I. / Machine Learning |