About

• 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. 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. 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).