|Funding for:||UK Students, EU Students, International Students|
|Placed On:||25th March 2019|
|Closes:||20th May 2019|
Funding amount: £15,000 maintenance grant per annum
Lead Supervisor name: Dr Feng Tian
The rules of computer games have restricted the non-player characters (NPCs)’s capability or cleverness/smart on responding the player’s actions (such as the speed and pattern of moving and the habits of using weapons), which makes game less competitive/exciting and may eventually get players losing their interest. This project aims to address the limitations using artificial intelligence (AI) technologies, particularly with deep learning and reinforcement learning. The overall approaches include the development of AI-assisted game design tools which could automatically generate game levels (from textures to maps), the development of deep-learning based approaches to train an AI player to play an existing game against (or alongside) human players and the development of reinforcement-based methods to help build the game dynamically for players including the enhancement of NPC’s level of smart (or intelligence).
What does the funded studentship include?
Funded candidates will receive a maintenance grant of £15,000 per annum (unless otherwise specified), to cover their living expenses and have their fees waived for 48 months. In addition, research costs, including field work and conference attendance, will be met.
Funded Studentships are open to both UK/EU and International students unless otherwise specified.
Candidates for funded PhD studentship must demonstrate outstanding qualities and be motivated to complete a PhD in 3 years.
Studentship candidates must demonstrate outstanding academic potential with a 1st class honours degree and/or a Master’s degree with distinction. An IELTS (Academic) score of 6.5 minimum (with a minimum 6 in each component) is essential for candidates for whom English is not their first language.
In addition to satisfying basic entry criteria, BU will look closely at the qualities, skills and background of each candidate and what they can bring to their chosen research project in order to ensure successful and timely completion.
Closing date: The first call for applications will close on 20 May 2019.
For further information on how to apply click the ‘Apply’ button below or email firstname.lastname@example.org
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