PhD Candidate in Human-Robot Interaction, University of Surrey, UK

Postdoctoral Position in UK United Kingdom

PhD Candidate in Human-Robot Interaction: This PhD project focuses on the intersection of robotics, neural control of movement, and neurodiversity, investigating state estimation in the context of physical human-robot interaction (pHRI). It aims to improve understanding and support for individuals with dyspraxia through innovative robotic solutions.

PhD Candidate in Neuro-Muscular State Estimation and Control for Physical Human-Robot Interaction PhD Project

Designation

PhD Candidate

Research Area

  • Robotics
  • Neural Control of Movement
  • Neurodiversity
  • Human-Robot Interaction

Location

University of Surrey, UK

Eligibility/Qualification

  • Open to UK and international candidates.
  • A strong undergraduate degree in Mechatronic/Robotic/Biomedical/Mechanical/Control Engineering, Human Movement, Neuroscience, or Mathematical Sciences.
  • Knowledge in control theory/state estimation, dynamical systems modelling, linear algebra, calculus, optimisation, data-driven techniques, signal processing, biomechanics, and neuromechanics.
  • Strong programming skills, preferably in Matlab/Simulink or Python; experience with virtual scenes or ROS2 is a bonus.
  • Experience in conducting user studies involving EMG and/or EEG is advantageous.
  • Strong interpersonal skills and willingness to work with neurodivergent participants.

Description

This PhD project investigates neuro-muscular state estimation and the control mechanisms involved in physical human-robot interactions, particularly focusing on individuals with dyspraxia. The project entails the development of:

  • An experimental setup blending human-robot interface, virtual reality, and EMG/EEG sensing.
  • Signal processing and analysis of muscle/neural activity data.
  • Data-driven modelling techniques to estimate neuro-muscular and human intent states.
  • Assessment methods for the identification of dyspraxia and support strategies using pHRI.

The project is funded through the UKRI/EPSRC Doctoral Landscape Award, covering tuition fees and providing an annual stipend of £20,780 for 2025/26, along with a £3,000 research training support grant.

How to Apply

Applications must be submitted through the Robotics and Autonomous Systems PhD programme page. In place of a traditional research proposal, candidates should upload a document including:

  • The project title.
  • Relevant supervisor’s name.
  • A statement of interest in the research project and how the candidate meets the profile.
  • An updated CV.

Last Date to Apply

23 April 2025

Link

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