Microsoft Research PhD Scholarship in AI and HCI for Games and Mixed Reality

The University of Nottingham, UK is inviting applicants to apply for a PhD position. The deadline for applying is January 11, 2019.

We are recruiting a PhD student to explore AI-based natural user interfaces (e.g. voice interaction) in visual environments such as games and mixed reality. The research will sit at the cross-roads of Machine Learning and Human-Computer Interaction. The broad aim of the PhD is to understand and characterize the interactional troubles users encounter with systems built on existing state-of-the-art AI models, and develop datasets which highlight these challenges and enable development of models which tackle them head-on.

If you are a strong programmer with an interest in AI and HCI, then please apply!

The PhD student will be hosted at the University of Nottingham, and will be jointly supervised with Nate Kushman from the Machine Intelligence and Perception group at Microsoft Research Cambridge providing machine learning expertise, while Joel Fischer and Stuart Reeves from the Mixed Reality Lab at the University of Nottingham will provide HCI expertise.

The Mixed Reality Lab ( ) at the University of Nottingham is an interdisciplinary group exploring the potential of ubiquitous, mobile and interactive technologies to shape everyday life. The Machine Intelligence and Perception group at Microsoft Research Cambridge ( ) is focused on developing fundamental machine learning models and algorithms to enable a future where machines understand and interact naturally with people, where computers enhance human creativity, where intelligent systems navigate and interact with complex environments, and where algorithms help us lead healthier lives.

This PhD is restricted to UK/Home and EU studentsdue to funder requirements, and the minimum entry requirement is a 2.1 undergraduate degree and English language IELTS average score of 6.5 with no less than 6.0 in any element. Application should be made online at with a detailed CV, transcript, references and a statement of research interests (personal statement). Please quote ref SCI1847.

The position will be filled as soon as a suitable candidate has been found, interviews will take place on a rolling basis, with a flexible start date as soon as possible for the candidate.

Informal enquiries may be addressed to or


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