Imperial College London Featured PhD Programmes
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3D shape reconstruction of deformable objects for biomechanics applications

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

Applications are invited for an exciting fully-funded PhD studentship in the Bioengineering Research Group, Faculty of Engineering at the University of Nottingham.
Research area. The research topic focuses on developing 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. Open problems in human-object interaction and tracking will also be explored.
The project. The candidate is expected to develop a fast and robust method for inferring and tracking 3D shapes of deformable objects, humans in particular. The method will be mainly based on visual sensing. Inertial and force sensors will be used as complementary sensing. 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 integrated motion capture laboratory.
The candidate. The ideal candidate will have;
1. a first or upper second class honours or Masters degree in Electrical and Electronic Engineering, Physics, Computer Science or other relevant and equivalent degree from a quality recognised institution.
2. a solid background in mathematics and excellent analytical and numerical skills, as well as problem solving skills
3. strong background in 3D computer vision, pose estimation, shape reconstruction, structure from motion, segmentation, or object detection.
4. experience in image or video processing and digital signal processing.
5. strong programming skills in Matlab, C/C++, or Python. Previous hands-on experience with deep learning platforms and agile software development as well as experience of working within industry will be an advantage.
6. very good written and communication skills and fluency in English.
7. a driven, independent professional and self-reliant work attitude within a fast-paced & collaborative environment.

Funding Notes

The scholarship offered is for a minimum of three years including a tax-free stipend of 15,009 per year (for 2019/20) 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 application.
Informal enquiries about the project may be addressed to Dr Ami Drory. Please (i) insert your cover letter, CV and copies of academic transcripts into a single pdf file. (ii) Name the file with your name as ”firstName_lastName_phd”. (iii) e-mail to: , with [3D shape reconstruction PhD application - lastName] as the email subject.

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