Cambridge, UK, was the clear choice for the first lab established outside of the United States, due to its rich history as a centre of higher learning and growing global impact as a leading high-tech hub. From a beginning of just three researchers in 1997, to over 130 researchers and engineers today, the lab has established itself as a highly credible academic partner and flowing pipeline of technology transfers into the Microsoft business.
The freedom of enquiry enabled by Microsoft’s approach to basic and applied research, coupled with the diversity of researchers and engineers in the Cambridge lab – ranging from sociologists, mathematicians, computer scientists, biological scientists and interaction designers – has produced contributions to some of Microsoft’s most successful products and services.
We are excited to be part of a company that is unreservedly committed to pushing the boundaries of what is possible, in order to create innovative solutions and break-through ideas that will empower every person and every organisation on the planet to achieve more.
Internships at Microsoft Research Cambridge
Build your skills and experience
“Here, what you contribute to a project is as important as what anyone else on the team would contribute.”
Pushkar Mishra, former intern
During your 12 week internship, you’ll find out what it’s like to work in an industrial research lab and learn from world-leading researchers and engineers who are invested in helping you.
Build valuable relationships
“I feel like in the future if I needed my advisors and collaborators here, I could casually drop them an email – that’s pretty cool.”
Konstantinos Kamnitsas, former intern
You will be an important part of a team who want you to get the best out of your internship and will take the time to help you and discuss your ideas. You can also explore other subjects and opportunities through a personal mentor, hackathons and more.
Make a difference
“The opportunity to work on projects that are technically interesting and able to impact millions of users is the best part.”
Anna Thomas, former intern
Our interns have the opportunity to make significant contributions to work that could go on to impact Microsoft products. Our mission is to empower every person and every organisation on the planet to achieve more, and you can be part of that.
“Not only do you meet many interesting people, you can enjoy the rich history of the city, outdoor activities and events.”
Katja Kevic, former intern and post doc researcher
We hold a number of events and activities during the Summer to enable you to get to know others while enjoying what Cambridge has to offer.
Come as you are and do what you love
“It’s a really cool mix of thinking and having fun. You’re surrounded by really smart people, who you don’t expect to be so humble and kind to you.”
Nadeen Gebara, former intern
Microsoft is committed to supporting people in their personal and professional growth. We value inclusiveness and diversity, and work to ensure our interns feel valued, respected and encouraged.
Competitive pay and the opportunity to build your career with Microsoft
We offer a competitive salary, an accommodation allowance, free beverages and subsidised meals. Many of our interns have gone on to get full-time positions here or at other Microsoft locations. We mostly offer internships to Masters or PhD students, but will consider Undergraduates if the opportunity fits.
How to apply
There is no closing deadline for these posts. These posts will be filled once suitable candidates are found, so if you are interested, please click on the relevant profiles below and apply using the link. If you have any questions please see the FAQ.
You will build and evaluate tools for accelerating AI workloads on emerging hardware, working with leading machine learning, programming language, and systems researchers. Our current projects include work on compilation techniques for deep learning workloads, and algorithms for efficient distributed computation.
Computer Vision: Healthcare
The Inner Eye Project has an exciting opportunity for Computer Vision interns to work as part of a multidisciplinary Team exploring applications of computer vision for real world healthcare challenges (e.g. medical image analysis, image guided interventions, radiomics, radiotherapy).
The interns will develop new computer vision techniques and models that can be applied to medical imaging based practices and which specifically consider the concerns of the clinical domains inn question. The intern will work collaboratively with leading machine learning experts, clinicians, social scientists to develop computer vision based solutions that transform care pathways and improve health outcomes.
Security and privacy are arguably the most significant concern for enterprises and consumers using public cloud platforms. The confidential computing group at Microsoft Research Cambridge has been conducting pioneering research in the design of systems that guarantees strong security and privacy properties to cloud users. As part of our research, we are designing new security primitives in both general purpose processors and specialized accelerators. We are also invested in the design of language runtimes that guarantee safety by construction, and in designing new services such as databases, blockchains and machine learning algorithms that utilize secure hardware and runtimes to guarantees strong security properties such as confidentiality, integrity and side channel protection. We place strong emphasis on designing systems that can be deployed at scale in the real world. We work very closely with products groups in Microsoft such as Azure and SQL Server, and have contributed to deployed services such as Azure Confidential Computing, Coco and Always Encrypted.
Distributed Systems, Network, and Storage
At MSR Cambridge we are working on a variety of projects spanning the realms of operating systems, distributed systems, networks, and storage to design the next-generations Azure cloud data-center technology and new tools to enable machine learning on very large data sets. We are seeking highly creative students, passionate about research and keen on designing and building new systems, and with strong programming skills and expertise in one or more of the areas above.
We are looking for an outstanding and passionate student to design and research on novel electronic components and devices. Example activities involve high speed electronics (>25Gbps), FPGAs, optical transceivers, photonic IC design and fabrication, precision analogue control systems and complex board integration.
Azure data center and WAN networks need to run reliably, efficiently, and without users noticing any problems, even as they grow. Keeping networks tuned this way requires the development of tools that improve the functioning of large-scale datacenter networks.
We are currently investigating a range of network verification tools that help network operators and architects design, operate, maintain, troubleshoot, and report on their large networks.
Today, nearly every new server in Microsoft datacenters integrates an FPGA into a unique distributed architecture, which creates an interconnected and configurable compute layer that extends the CPU compute layer. We are currently exploring how to take advantage of these FPGA resources in a variety of projects across the lab, including large-scale graph processing, data center networking, and machine learning.
Machine Learning (Deep Learning and Reinforcement Learning)
You will build and evaluate machine learning models and algorithms to solve real-world applications, working with leading machine learning researchers and researchers from other fields. Our current projects include developing large-scale distributed learning algorithms, knowledge base construction, applications to video games, and building bespoke probabilistic models for large-scale applications.
Machine Learning: Healthcare
We are currently recruiting interns to join our multidisciplinary team, exploring applications of machine learning to solve real-world healthcare challenges. This is an exciting opportunity to use and develop your skills in Machine Learning to have impact in areas such as mental health, surgery, critical care and radiotherapy. As an intern, you will develop new techniques and models tailored to the needs of healthcare contexts and which consider human (e.g. clinicians, patients) interaction with these algorithms. You will collaborate with leading machine learning experts, user experience designers, social scientists and clinicians to develop solutions that transform care pathways and improve health outcomes.
Optics already plays a major role in the transport of data within the Microsoft cloud infrastructure. We are looking for people who are interested in working on multidisciplinary systems scale projects that seek to develop new technologies for the cloud based on exploiting the unique properties of optics and photonics. In particular, we are currently investigating how optical technologies can be used to achieve more efficient and lower cost data storage and how optics can be used to satisfy the increasing demand for bandwidth in the cloud networks.
Below you will find useful information about visiting Microsoft Research in Cambridge, for enquiries please email firstname.lastname@example.org.
Please note that there is no visitor parking available on-site. The lab is almost next to Cambridge Rail Station, so we recommend travel to the lab by train, where possible.
Train Travel Information
Taxi and Transfer Information
Taxi travel within Cambridge and surrounding areas: Panther Taxis +44 (0) 1223 715 715
Airport/longer distance transfers: Executive Car Services +44 (0) 1223 212 122
Air Travel Information
Cambridge is close to three international airports in addition to three regional airports. London Stansted is the closest airport.
There is no visitor parking available on site.
Cycle Travel Information
There are cycle stands available outside the lab.
Coach Travel Information
For coach times and fares, visit the National Express Website.
Local Travel Information
Find out more about transportation, travel services and general tourist information for Cambridge on the Visit Cambridge Website
Granta Place Mill Lane, Cambridge, CB2 1RT, United Kingdom
+44 1223 259988
Gonville Place, Cambridge, CB1 1LY, United Kingdom
+44 1223 366611
Downing Street, Cambridge CB2 3DT, United Kingdom
+44 1223 464491
2 Station Square, Cambridge, CB12GA
Station Road, Cambridge, CB1 2JW
+44 1223 792888
You can find further accommodation options here.