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HomeUK JobPhD Studentship: MulsEAV: Integrating Mulsemedia Experiences in Autonomous Vehicles

PhD Studentship: MulsEAV: Integrating Mulsemedia Experiences in Autonomous Vehicles

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College of Engineering, Design and Physical Sciences

It is expected that by 2025, the UK will increasingly see self-driving vehicles on the roads across the country which will enable new ways for people and goods to move around. Optimising the on-board and off-board experience of passengers is therefore paramount for high social buy-in and widespread adoption. This PhD research project aims to develop and validate a range of novel, multimodal technologies and solutions that serve to support the user experience, perception and usability of the overall vehicle boarding journey. To this end, Mulsemedia and Mixed Reality (MR) approaches will be investigated to facilitate the design of vehicles that are optimised for quality of experience, health, and well-being across different contexts and users.

The project is for a 4 (four) year full-time PhD jointly funded by Research England and Tampere University (Finland). The studentship includes FT Fees paid at the current UKRI rate for 4 years and an FT stipend at approximately £20662 per annum subject to satisfactory progression and an increase announced by UKRI each year.

This project also includes a 6 Month placement with our partner Tampere University (Finland), where you will learn about system design and prototype generation.

We are looking for exceptional candidates who have a strong interest in the proposed research topic. Essential criteria include a good First or Upper Second-class Honours degree (1st or 2:1) in Computer Science, Multimedia/Games, Design or a related field, strong academic writing skills, and with strong technical skills. The candidate must be highly motivated, creative, independent, work well as part of a team, organised, and with excellent time-management skills.

Desirable criteria include a Masters-level degree in a relevant field(s), experience with Extended Reality (VR, AR, MR) and strong programming skills (e.g., C#, Python). Prior experience with sensor technologies is also desirable.

How to Apply

Please email your application documents (see list below) in a single PDF file by 17:00 on 18 August 2023 to Dr Fotios Spyridonis at [email protected] or Professor George Ghinea at [email protected] and the PGR Office at [email protected]

Interviews will take place at the beginning of September 2023.

  • Your up-to-date CV;
  • Your personal statement (300 to 500 words) summarising your background, skills, and experience;
  • Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
  • Evidence of your English language skills to IELTS 6.5 (or equivalent, 6.0 in all sections), if appropriate;
  • Contact details for TWO referees, one of which can be an academic member of staff in the College.

Remember to state the title of the project at the top of your personal statement.

Click Here to Apply For The Job



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