PhD Intelligent Games and Games Intelligence
Computer Science at Queen Mary is part of the wider School of Electronic Engineering and Computer Science. This School has a dynamic community of over 200 PhD students and 80 Post Docs working on cutting-edge research.
The research is broadly organised into the following research groups. Please visit the School website for a list of current PhD projects, supervisors and funding opportunities www.eecs.qmul.ac.uk
Staff and students in this School also have the opportunity to work in these three interdisciplinary research centres:
Full details of how to apply for a PhD in this field can be found here
Candidates should not apply using the buttons on this page until they have read the application instructions on the School website. It is also strongly advised, although not a formal requirement, to make informal contact with the chosen supervisor before submitting the online application.
here is a wide range of funding available for PhD study in this field. Individual projects will be advertised on www.findaphd.com and all scholarship opportunities are advertised on our.
Queen Mary leads an AI + Music (artificial Intelligent and Music) Doctoral Training Programme and more information about this specific funding opportunity can be found here.
Queen Mary is a new member of the Intelligent Gaming and Gaming Intelligence Doctoral Training Programme and more information about this specific funding opportunity can be found here.
Melissa Yeo
Research Students Coordinator
Tel: +44 (0)20 7882 5357
Email: phd-enquiries@eecs.qmul.ac.uk
Prof. Ioannis Patras
Director of Graduate Studies
Email: i.patras@qmul.ac.uk
Computer Science at Queen Mary is part of the wider School of Electronic Engineering and Computer Science. This School has a dynamic community of over 200 PhD students and 80 Post Docs working on cutting-edge research.
The research is broadly organised into the following research groups. Please visit the School website for a list of current PhD projects, supervisors and funding opportunities www.eecs.qmul.ac.uk
Staff and students in this School also have the opportunity to work in these three interdisciplinary research centres:
Full details of how to apply for a PhD in this field can be found here
Candidates should not apply using the buttons on this page until they have read the application instructions on the School website. It is also strongly advised, although not a formal requirement, to make informal contact with the chosen supervisor before submitting the online application.
here is a wide range of funding available for PhD study in this field. Individual projects will be advertised on www.findaphd.com and all scholarship opportunities are advertised on our.
Queen Mary leads an AI + Music (artificial Intelligent and Music) Doctoral Training Programme and more information about this specific funding opportunity can be found here.
Queen Mary is a new member of the Intelligent Gaming and Gaming Intelligence Doctoral Training Programme and more information about this specific funding opportunity can be found here.
Melissa Yeo
Research Students Coordinator
Tel: +44 (0)20 7882 5357
Email: phd-enquiries@eecs.qmul.ac.uk
Prof. Ioannis Patras
Director of Graduate Studies
Email: i.patras@qmul.ac.uk
