This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility:
Lead and collaborate on innovative robotics research projects, designing, prototyping, and validating new algorithms and control strategies
Work closely with a multidisciplinary team to address both fundamental and applied research challenges
Plan, design, and execute experiments to test and validate prototypes in simulation and real-world scenarios
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
Requirements:
PhD degree (or on-track to complete) in Computer Science, Robotics, Mechanical/Electrical Engineering, or a closely related field
Demonstrated expertise in one or more areas of robotics, such as manipulation and grasping, perception, kinematics, dynamics, and motion control
Hands-on experience programming robots, developing control system algorithms, and integrating software with hardware
Experience with physics-based simulation platforms or real-world robotics data collection
Familiarity with digital twin environments, predictive planning, or advanced data pipelines
Ability to thrive in collaborative, multidisciplinary teams
Nice to have:
Proficiency in programming languages such as Python and/or C++ for simulation development, integration, or data pipeline automation
Knowledge of world models, VLA models, reinforcement learning, or VLMs
Experience with multimodal sensor data (RGB-D, force-torque, tactile) or scalable data collection
Background in sim-to-real transfer, manipulation benchmarking, or generalizable ML/data techniques
Strong publication record in top robotics venues (e.g., ICRA, RA-L, IROS, CoRL)