Bournemouth University, in the UK, invites applications for PhD Studentship on Artificial Intelligence Based Approaches for Game Design and Development in 2020.
Project details
This project aims to address the issues above mentioned 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).
The doctoral student will receive full PhD training during the project, where he/she will receive regular support from an experienced supervisory team. Apart from the university level training programs the Doctoral College offers, in the Faculty of Science & Technology (SciTech) a series of research presentations and seminars will give the student a wide view and exposure to research methodology and strategy.
The approaches proposed in this project could open a new direction in terms of applying artificial intelligence to the game design and development. The findings of this research are envisaged to disseminate by publishing in corresponding journals and conferences, including but not limited to IEEE Transactions on Cybernetics, International Conference on Virtual Words and Games, International Conference on Game, Game Art and Gamification, International Joint Conference on Artificial Intelligence, IEEE Conference on Computer Vision and Pattern Recognition.
This project and its outcomes address the quest for more realistic worlds, captivating challenges, and unique content, using deep learning as an ally in game development. Apart from games, the project may also benefit other applications like self-driving cars (e.g. driving using digital sensor systems instead of a human’s senses) and healthcare (e.g. precision medicine, brain cancer detection with advanced image recognition and classification).
Worth of Award
- A fully-funded Studentship includes a maintenance grant of £15,000 per year to contribute towards living expenses during the course of your research, as well as a fee waiver for 36 months.
- Associated costs, such as for fieldwork and conference attendance, will also be met under the Studentship.
Eligibility
- The PhD Studentships are open to UK, EU and international students.
- Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:
- Outstanding academic potential as measured by either a 1st class honours degree or a Master’s degree with distinction or equivalent Grade Point Average (GPA)
An IELTS (Academic) score of 6.5 minimum (with a minimum 6.0 in each component) for candidates for whom English is not their first language - In addition to satisfying minimum 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 completion.
- Applicants will be asked to submit an online application form and a proposal (approximately 1500 words) outlining their understanding of the project for which they are applying, the approach they would envisage taking and what qualities they will bring to the research community.
Please note:
- current BU Doctoral students are not eligible to apply for a Studentship
- current MRes/MPhil students can apply, subject to satisfactory completion of their Research Degree prior to being able to take up the award
- PhD Studentships cannot be used to support BU staff to complete doctoral programmes.
How to Apply
- Click the green ‘Apply now’ button at the top of the page and complete the online application form.
- You can find further guidance about applying for a postgraduate research degree in their Postgraduate Research section.
Deadline: Applications close on October 31, 2019.