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Microsoft

Cambridge Internship Program - Robotics Systems and Control

Microsoft · Research Sciences

Cambridge

Intern

ManufacturingC++Python

Last seen 5h ago

Posted
3w ago

Posted on 10 September 2026

Workplace
On-site

Work model: On-site

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

This role has closed. It's kept as a record — see Microsoft's open roles or the similar live roles below.

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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.

Contract Type: Internship (12 Weeks)

Location: Cambridge UK

Responsibilities

Lead and collaborate on innovative robotics research projects, designing, prototyping, and validating new algorithms and control strategies.

Design Real2Sim and Sim2Real strategies for robot model learning and robot motion planning for a custom robot.

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.

Qualifications

Required/Minimum Qualifications:  

Enrolled in PhD program (or recently completed) in Computer Science, Robotics, Mechanical/Electrical Engineering, or a closely related field.

Demonstrated expertise in one or more areas of robotics, such as kinematics, dynamics, and motion control.

Hands-on experience programming robots, developing control system algorithms, and integrating software with hardware.

Experience with robotic simulators – e.g. MuJoCo, IsaacSim etc.

Ability to thrive in collaborative, multidisciplinary teams.

Preferred/Additional Qualifications:

Proficiency in programming languages such as Python and/or C++ for simulation development, integration, or data pipeline automation.

Strong publication record in top robotics venues (e.g., ICRA, RA-L, IROS, CoRL).

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.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About Microsoft

Microsoft's European presence is broad and stable rather than concentrated — Dublin, London, Milan, Paris, Prague, Munich. Less fashionable than the other FAANG names, and the tradeoff is usually predictability over intensity.

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