Closing Date Saturday, 1st August 2020
Closing Date: Review of applications will commence on 1 August 2020 and remain open until filled
Department: Bioengineering, Faculty of Engineering.
Applications are invited for an exciting fully-funded PhD studentship at the Faculty of Engineering, the University of Nottingham.
Research area. The research topic focuses on developing computer vision and machine learning based solutions that enable in-natura markerless motion capture for biomechanical modelling in Biomedical and Sports Engineering. Specifically, it addresses the fundamental research problem of reconstruction of person-specific human pose, kinematics, and surface geometry to enhance our understanding of the non-linear behaviour of human motion, musculoskeletal injury and disease and enable modelling of soft-tissue dynamics and human-object interaction.
The project. The candidate is expected to develop a fast and robust method for inferring and tracking 3D human pose and surface geometry. The method will be mainly based on visual sensing complemented by Inertial and force sensors. The method can use either or both of model-based and learning-based approaches, such as CNN based segmentation, geometric CNNs, or convolutional kernel filter based tracking. The candidate will have access to a newly established state-of-the-art motion capture laboratory.
The candidate. The ideal candidate will have;
The offer. The scholarship on offer (to eligible students) is for a minimum of three years and includes a tax-free stipend of 15,285 per year (for 2020/21) and tuition fees. It is available to students of UK and EU nationality. Applicants must obtain the support of the potential supervisor prior to submitting their application.
Informal enquiries about the project may be addressed to Dr Ami Drory. Please (i) insert your cover letter, CV, copies of academic transcripts, a list of publications, and contact details for two academic referees into a single pdf file. (ii) Name the file with your name as ”firstName_lastName_phd”. (iii) e-mail to: Ami.Drory [ at ] nottingham.ac.uk, with [3D shape reconstruction PhD application - lastName] as the email subject. Applications without academic transcripts or academic referees will not be considered. Applicants are advised to include copies of any publications or examples of their technical writing, such as code projects, project report or dissertation in support of the application.
Application instructions. With the support of the potential supervisor, formal applications are to be made via http://www.nottingham.ac.uk/pgstudy/apply/applyonline.aspx.
Closing date for applications. Review of applications will commence on 1 August 2020 and remain open until filled. A start date is expected to be as soon as practical thereafter.Continue reading
|Title||Fully funded PhD studentship | 3D human pose estimation and shape reconstruction for biomechanics ||
|Employer||University of Nottingham|
|Job location||University Park, NG7 2RD Nottingham|
|Published||May 22, 2020|
|Application deadline||August 1, 2020|
|Job types||PhD  |
|Fields||Biomedical Engineering,   Bioengineering,   Engineering Physics,   Applied Mathematics,   Electrical Engineering,   Mechanics,   Geometry and Topology,   Machine Learning,   Computer Vision,    and 3 more. Signal Processing,   Electronics,   Image Processing  |