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 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 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.
The University of Nottingham is a world-class University consistently ranked among the world’s top 100 universities. It is a Russell Group university and a member of Universitas 21 (U21), the global network of research-intensive universities. The University is ranked eighth in the UK on ‘research power’ in the latest REF rankings. The Faculty of Engineering is ranked in the top 10 in the UK with more than 98 per cent of its research ranked of international quality, with 85 per cent graded as ‘world-leading’ or ‘internationally excellent’.
The university was awarded the University of the Year for both International and Sports in the 2019 Guide. With award-winning campuses, University Park is The University of Nottingham’s largest campus at 300 acres. The campus is widely regarded as one of the largest and most attractive in the UK. Set in extensive greenery and around a lake, University Park campus has consistently won a Green Flag Award for its green and environmentally friendly spaces every year since 2003. The University of Nottingham was ranked the World’s second greenest university in 2019 (GreenMetric). The brand new £40 million David Ross Sports Village is now open, offering an inspirational and accessible sports provision for all.
The link to the position advertisement is http://jobs.nottingham.ac.uk/ENG1305