We have four key objectives:
Objective 1: To adapt our existing model to capture and analyse biomechanical data from military personnel with and without overuse injuries
Objective 2: To determine the validity of the biomechanical data obtained from our model compared to the “gold standard” 3D motion capture in military personnel with and without overuse injuries
Objective 3: To identify, test, and validate possible solutions for the modelto diagnose gait disorders in military personnel with overuse injuries
Objective 4: Test real time execution of digitisation, application and data extraction when using the model to diagnose gait disorders in military personnel with overuse injuries
We are looking for an enthusiastic, proactive and highly motivated PhD candidate.
Experience in 3D motion capture, machine learning, AI or data analysis strongly desirable. This project is in collaboration with the Ministry of Defence, and some travel will be expected between Lancaster University (host institution) and the Defence Medical Rehabilitation Centre Stanford Hall for meetings, recruitment of personnel and data collection.
Essential:
- 2:1 or 1st class undergraduate degree (or equivalent) in sport science, biomechanics, computer vision or computer science related disciplines
Strongly desirable:
- A Merit or Distinction postgraduate degree (or equivalent experience) in sport science, biomechanics, computer vision or computer science related disciplines
- Experience in collecting data from participants in research studies
- Demonstrate expertise in quantitative research methods
- Experience in machine learning and/or AI
- Experience in 3D motion capture and/or biomechanical assessment of gait
- Experience of presenting at international conferences and/or publishing in peer-reviewed journals
Funding:
A successful applicant will receive a stipend towards living expenses at the UKRI rate (currently £ £20,780 per year) and £1000 per year to support training and development needs (e.g., attend courses or conferences).
Supervisory team:
Dr Hannah Jarvis - Lancaster University has expertise in gait assessment and led previous research projects with the Ministry of Defence. Co-supervisors are Professor Jun Liu - Lancaster University, expertise in computer vision and machine learning, and Professor Neil Reeves - Lancaster University, expertise in digital health technologies and cyber security. You will also be supervised by colleagues from DMRC Stanford Hall.
In your application, please include:
- A cover letter detailing why you are the most appropriate person for the position
- A CV
In your application, please include:
- A cover letter detailing why you are the most appropriate person for the position
- A CV
Application deadline 24th October 5pm
Interviews early November – date tbc
Contact Information:
Please contact Dr Hannah Jarvis (H.Jarvis@lancaster.ac.uk)