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Cambridge Internship Program - Robotics Intelligence at Microsoft

Cambridge, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Robotics, Automation, Control Strategies, Programming, Simulation, Data Collection, Machine Learning, Data Pipelines, Digital Twin, Reinforcement Learning, Kinematics, Dynamics, Perception, Manipulation, Grasping, Multimodal Sensor Data

Industry

Software Development

Description

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. 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. 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. 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).

Responsibilities

Collaborate across disciplines to develop solutions for datacenter automation and intelligent systems. Lead and collaborate on robotics research projects, designing and validating new algorithms and control strategies.