Autonomous robotics and vehicles studentships
This studentship is not only an opportunity to undertake a research degree at a world-leading institute (currently ranked 1st in the UK for Computer Vision by csrankings.org). It is also an opportunity to participate in the newly formed Doctoral Training Cluster on autonomous robotics and vehicles.
Start date1 October 2023
Funding sourceUKRI and/or University of Surrey
The studentship will provide a stipend at UKRI rates (currently £17,668 for 2022/23) and tuition fees for 3.5 years. An additional bursary of £1,700 per annum for the duration of the studentship will be offered to exceptional candidates.
This studentship will be a cohort of 5+ peers undertaking parallel research projects on related topics. A specialised training programme is in place for the cohort which includes technical skills, research skills and personal skills.
Robotics is a research topic cutting across a range of disciplines. As a result, this tight-knit group will also integrate into several of the wider peer-support networks of the University. This includes the Robotics Lab at CVSSP, the Centre for Automotive Engineering and the Nature-Inspired Computing and Engineering group, as well as the Institute for People Centred AI. Students will therefore have access to an extensive research support infrastructure including:
- Various autonomous vehicle testbeds
- A number of robotic manipulators and mobile robot platforms including Boston Dynamics Spot
- A high-throughput computing cluster comprising over 130 GPUs and 2,000 CPUs.
Participating in the autonomous robotics and vehicles cluster also means this studentship has excellent industrial involvement opportunities. This includes the possibility for 3-month internships with industrial partners and sandpit events to workshop new research ideas with industry.
How to apply
Applications should be submitted via the application portal for the PhD programme specified in the individual project advertisements:
In place of a research proposal you should upload a document stating the title of the project that you wish to apply for and the name of the relevant supervisor.
You must upload your full CV and any transcripts of previous academic qualifications.
You should enter ’Faculty Funded Competition’ under funding type.
For informal enquiries, please follow the link to the project that interests you. You will then be able to contact the relevant project supervisor.