Overview
βDrive 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 2026
Duration: 12 weeks
Location: Cambridge, UK βResponsibilitiesβ
- 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.
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βQualificationsβ
Required/Minimum Qualifications:β―β―
- PhD degree (or on-track to complete) in Robotics, Mechanical/Electrical Engineering, Computer Science, or a closely related field.
- Demonstrated expertise in robotic manipulation, with a focus on gripper/end-effector design for deformable objects of varying geometries.
- Hands-on experience in CAD design, mechanical prototyping, and simulation of robotic end-effectors.
- Experience programming robots and developing control algorithms for adaptive gripping and compliance. Β
- Ability to thrive in collaborative, multidisciplinary teams.
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Preferred/Additional Qualifications:
- Experience with force-torque sensors, tactile arrays, or compliance control in robotic grippers.
- Experience with programming languages such as Python for simulation development or integration.
- Strong publication record in top robotics venues (e.g., ICRA, RA-L, IROS).
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