🚀 Internship
Internship Opportunity : UX Design Internship
Microsoft
19d ago
Cambridge
Description
The Future of Work team at the Microsoft Research lab in Cambridge (UK) is seeking a UX design intern to work with the Alexandria team to help us shape the future of collaboration and knowledge sharing at work. We are looking for a curious and creative individual who is interested in exploring complex challenges in human-AI interaction, specifically relating to how machine learning (ML) generated knowledge bases that are able to mine and organize knowledge and its relationships in organizations should effectively present and visualize these rich relationships in ways that help people (i) understand how things are connected, (ii) focus on what is relevant to them, (iii) successfully navigate to the knowledge they need, and (iv) discover related knowledge that they may not have known existed. With this internship we want to explore how interactive visualizations can be used in Microsoft Viva Topics to transform the large-scale enterprise data that our ML mines into intuitive, meaningful, and effective user experiences that make this wealth of knowledge accessible.
Area of Responsibilities
Responsibilities
If accepted for this internship, you will be collaborating with designers, researchers, and engineers to create interactive design artifacts, and potentially to conduct user evaluations, that will be presented in an internal presentation and/or report.
Requirements
- You must have a current online portfolio demonstrating breadth and creativity of visual and interactive design/prototyping. Please provide a link in your application.
- You must have a strong proficiency in digital design tools that enables the delivery of design artifacts such as wireframes, interaction flows, and interactive prototypes.
- You must be enrolled in a Master's/PhD programme in visual design/interaction design/multimedia design/HCI, or equivalent.
- Experience designing rich data visualizations would be a plus but is not required.
- It is also desirable, but not required, for you to have an understanding of/experience with AI/ML technologies and the domains of knowledge systems.