Cambridge Internship Program - Network Systems for Physical AI
Overview Drive innovation at Microsoft Research Cambridge by joining a world-class team pioneering breakthroughs in robotics and AI infrastructure. Collaborate across disciplines to develop impactful solutions for datacenter automation and next-generation intelligent systems. Work alongside leading experts, leverage state-of-the-art technology, and contribute to projects that shape the future of computing. This is a unique opportunity to accelerate your career, expand your skills, and make a tangible impact at Microsoft and beyond in a dynamic, intellectually stimulating environment where your ideas drive real-world change. Start Date: March/April 2026 Duration: 12 Weeks Location: Cambridge, UK Responsibilities
- Contribute to innovative research projects in the context of wireless networking systems for Physical AI.
- Work closely with a multidisciplinary team to address both fundamental and applied research challenges.
- Develop algorithms and build and evaluate networking systems for efficient device to edge/cloud communication.
- Join a vibrant, mentor-guided research community for a 12-week internship, collaborating with fellow interns and leading researchers.
- Gain hands-on experience, present your work, and expand your professional network while making a real impact at Microsoft Research.
- Pursuing a PhD degree in Computer Science or other closely related fields.
- Solid understanding of wireless technologies, including 5G and WiFi.
- Foundation in algorithms and optimization using classical and ML methods.
- Ability to thrive in collaborative, multidisciplinary teams.
- Proficient written and verbal communication skills.
- Experience designing and implementing adaptive decision-making systems (e.g., network slicing, ABR, routing, scheduling).
- Experience with network programming technologies, such as eBPF and XDP.
- Experience with robotics frameworks and messaging systems including ROS2 and Zenoh/DDS.
- Proficient software development skills, preferably in C/C++ or Rust.
- Strong publication record in top tier networking conferences (e.g., MobiCom, NSDI, SIGCOMM).