We are seeking a highly motivated and skilled PhD candidate to join our research team to work on an exciting project that aims to explore the intersection of virtual reality (VR), neuroscience, and machine learning. The project will involve developing code to analyse EEG (electroencephalogram) data from participants as they engage in VR experiences and developing machine learning models to assess user factors such as emotions, agency and presence. The goal is to develop an adaptive VR system that can adjust the experience based on the user's states.
Key Responsibilities:
● Developing machine learning algorithms to analyze EEG data in real-time and extract relevant features related to emotions and presence
● Designing and implementing experiments to collect EEG data within VR environments
● Integrating the machine learning algorithms into a VR system to adapt the experience in real-time based on the user's emotional and presence states
● Writing up research findings for publication in academic journals and presenting research at conferences
The successful candidate will work closely with a team of experienced researchers to design and implement a series of studies that investigate the neural underpinnings of user factors relevant to VR experiences.
This project offers a unique opportunity to work at the cutting edge of VR, EEG and ML research, using state of the art facilities and equipment. The candidate will have the chance to collaborate with leading experts in the field, attend international conferences and workshops, and publish high quality research papers in top tier venues. You will be joining the vibrant ART-AI student community, as well as the REVEAL and CAMERA research centres which are world leading in the fields of intelligent visual and interactive virtual technologies.
Key Skills and Experience:
● Experience with machine learning algorithms
● Knowledge of programming languages such as Python or similar
● Experience with VR technology is desirable but not essential
● Strong written and verbal communication skills
● Ability to work independently and as part of a team
● EEG data collection experience is desirable but not essential
The project will be carried out as part of an interdisciplinary integrated PhD in the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI). The ART-AI CDT aims at producing interdisciplinary graduates who can act as leaders and innovators with the knowledge to make the right decisions on what is possible, what is desirable, and how AI can be ethically, safely and effectively deployed. We value people from different life experiences with a passion for research. The CDT's mission is to graduate diverse specialists with perspectives who can go out in the world and make a difference.
Formal applications should include a research proposal and be made via the University of Bath’s online application form. Enquiries about the application process should be sent to [Email Address Removed]. Enquiries about the research should be directed to Dr Jicol.
Start date: 2 October 2023.
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