Academic Programs
Microsoft is proud to be a gold sponsor of the CRA-WP Grad Cohort Workshop for Inclusion, Diversity, Equity, Accessibility, and Leadership Skills (IDEALS). Stop by our virtual booth to learn more about our research and open opportunities at Microsoft and schedule a 1:1 coffee chat with one of our experts.
AI has transformed modern life via previously unthinkable feats, from machines that can master the ancient board game Go and self-driving cars to developments we experience more routinely, such as virtual agents and personalized product recommendations. Simultaneously, these new opportunities have raised new challenges—most notably, challenges that have highlighted the potential for AI systems to cause fairness-related harms. Indeed, the fairness of AI systems is one of the key concerns facing society as AI continues…
Microsoft is proud to be a part of the 14th ACM Web Search and Data Mining Conference (WSDM 2021). Stop by our virtual booth to learn more about our research and open opportunities at Microsoft.
The researchers and engineers in the New Security Ventures (NSV) team pursue applied research in computer security to empower defenders with next-generation security technologies. Microsoft delivers code and compute that empower the world, and NSV works to ensure the trustworthiness of that technology. We transform research ideas into scalable prototypes, open-source projects, and new production capabilities. This internship aims to explore practical advances towards identifying risks on AI systems from adversarial attacks. We will study…
This position is for a joint internship with the Visualization and Interactive Data Analysis (VIDA) group within MSR’s Redmond Lab and the M365 Data Science IDEAs group. The VIDA group conducts research about human-centric data interaction – how do people work with, understand and communicate with data. This involves everything from exploring storytelling techniques in visualization, 3D immersive analytics, techniques for helping users interpret and trouble-shoot machine learning models, to building better tools for data…
As an intern in the Machine Learning & Statistics group at MSR New England, you will be collaborating with leading researchers and engineers to advance the state-of-the-art in the field. The research, tools, and services that result from this investment are woven into existing and new products and, at the same time, made open and accessible to the broader community in a bid to accelerate innovation, democratize AI, and solve the world’s most pressing challenges.…
The mission of the Mobility & Networking Research (MNR) Group at Microsoft Research is to invent and research technologies that make Microsoft’s networks, services, and devices indispensable to the world. The MNR group focuses on basic and applied research in all areas related to networked systems and mobile computing. We build proof-of-concept systems, engage with academia, publish scientific papers, publish software for the research community, and transfer cutting-edge technologies to Microsoft’s product groups. The MNR…
The need to accommodate mandatory working from home due to COVID-19 has led many companies to increase their usage of meeting via Microsoft Teams and Zoom. This usage will likely continue even after the pandemic, as many companies re-evaluate their need for fully in-office versus remote and hybrid work. Microsoft Research wants to initial understand the factors impacting inclusivity and diversity in remote meetings and the impact of any changes in meeting practices that are…
The need to accommodate mandatory working from home due to COVID-19 has led many companies to increase their usage of chat-based workspaces such as Microsoft Teams and Slack. This usage will likely continue even after the pandemic, as many companies re-evaluate their need for fully in-office versus remote and hybrid work. Microsoft Research is exploring how companies might improve their use of asynchronous modalities of chat-based workspaces (channels, chat etc.) to create an inclusive community…
Many physicists have wondered how the universe chooses its basic laws. One idea is that the laws-or the parameters that characterize them, such as the masses of the different quarks and leptons, can evolve in time. Several mechanisms have been proposed, which can be visualized as a point representing the universe moving on a vast landscape of possible laws. This turns out to be a process that can be efficiently simulated by a deep neural…
