PhD studentship in Soft Robotics and Wearables (SCIPHD)

Job title:

PhD studentship in Soft Robotics and Wearables (SCIPHD)

Company

University of Nottingham

Job description

At the Mixed Reality Laboratory, School of Computer Science, University of NottinghamClosing date: 28th March 2025, interviews will take place in April and MayDepartment: Computer ScienceEligibilityThis studentship is open to UK Home students only.Details of Studentship:We are recruiting a fully-funded PhD student to work alongside our new UKRI-funded £6.5M research programme in Somabotics: Creatively Embodying Artificial Intelligence led by Professor Steve Benford.The topic of this studentship is Soft Soma Skins – a new kind of technology that mediates physical interaction between humans and robots. We currently imagine these to be soft materials that dress both human and robot bodies. Embedded sensors will capture data about mutual touch. Embedded actuators will deliver haptic feedback to complete an interactive loop between human and robot bodies. The PhD might focus on the design and prototyping of soma skins, soft wearable devices, possible artistic applications, the manufacture of soft sensors and actuators, or the data and AI models that soma skins would generate and utilise. However, this initial description is just the beginning, and we are keen to hear your own interpretation of Soft Soma Skins.The PhD will be part of the wider Somabotics programme that is exploring new kinds of creative interaction between humans and AI, especially robots. You will join a multidisciplinary team of twelve researchers and renowned artists who will be creating, touring, and studying high-profile artworks to demonstrate how humans can interact with robots in more meaningful ways. You can find out more about Somabotics and explore examples of our recent work .You will benefit from:

• Being part of a new world-leading research programme at the cutting edge of AI, robotics, HCI and creativity.
• A fully-funded four-year PhD programme that integrates a leading-edge research project with research training in multi-disciplinary research.
• Being part of an exciting research environment to support your PhD research and help you establish your profile and career
• Being part of a multi-disciplinary team of twelve researchers based in the

in Nottingham’s * Access to the state of the art facilities in the University’
, and . * Gaining highly sought after interdisciplinary skills and experience.There will be extensive opportunities for travel, including for additional training activities (e.g., Summer Schools and Doctorial Colloquia), participating in conferences, and visits to international and industry partners.Entry Requirements:Key studentship informationEntry requirementsMinimum of a 2:1 bachelor’s degree in a relevant discipline to the research topic. Studentship is open to home (UK) students only.Start dateBetween 1st June and 1st October 2025FundingAnnual tax-free stipend based on the UKRI rate (currently £19,237) plus fully-funded PhD tuition fees for the four yearsDuration4 yearsApplication Process:Applicants to initially email their applications to Steve Benford:Following discussion with Steve, formal applications will then be submitted via the University’s PhD application website, My Nottingham. More information on how to apply can be found .

• Note the supervisor is Professor Steve Benford
• Include a CV
• Submit a personal statement covering your background, general motivation to undertake a PhD, specific motivation to undertake a PhD as part of the Somabotics programme in, and a personal PhD proposal that responds to the vision of the programme and the four example PhD topics below.

https://www.nottingham.ac.uk/computerscience/work-with-us/somabotics-at-nottingham.aspxhttps://stevebenford.com/https://www.nottingham.ac.uk/research/groups/mixedrealitylab/https://www.nottingham.ac.uk/computerscience/https://cobotmakerspace.org/https://www.nottingham.ac.uk/research/groups/mixedrealitylab/

Expected salary

Location

Nottingham

Job date

Sun, 23 Feb 2025 01:48:48 GMT

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