£12.71 per hour + £1.53 holiday pay
Advertising End Date
04 Oct 2026

Role & Department Overview

Please note: this internship is only available to current undergraduate students in Lancaster University Medical School.

This internship is offered as part of an exciting pilot of research opportunities for Medical School undergraduate students (MBChB and SaES). Each internship will be supervised by an academic member of staff. These opportunities are designed to give students experience of contributing to university research. These internships would be ideal for students considering postgraduate study, intercalated degrees or specialised foundation programmes.

Project Summary:

Stroke survivors experience an array of foot health problems which limit their ability to walk and complete activities of daily living. However, current research lacks understanding surrounding the types of foot health problems, how they are treated in rehabilitation, and how they limit walking ability and quality of life.
 
 This research will be completed as part of a PhD project will take a qualitative and quantitative approach to 1) understand what foot health problems stroke survivors experience and how they impact daily lives, 2) understand healthcare professionals perceptions of how to assess and treat foot health problems after a stroke and 3) understand how changes in biomechanical, neuromuscular, sensory and vascular function contribute to foot health problems that impair gait in stroke survivors.
 
In doing so a range of questionnaires and focus groups will be used to understand stroke survivors and healthcare professionals’ perspectives on foot health problems after a stroke. Quantitative data collection will be completed by stroke survivors and age-matched control participants who will attend Lancaster University to investigate if changes to biomechanical, neuromuscular, vascular and sensory function after a stroke contribute to foot health problems and gait impairments. In doing so, participants will complete tasks such as marker-less 3D motion capture to assess gait, use of surface electromyography to measure neuromuscular function, ankle brachial pressure index to measure blood vessel health, 10-gram monofilament to measure sensory function in the foot and the Fugl-Meyer which is a clinical test to assess motor impairment. By completing this research, we hope to create research informed guidelines which can be used within stroke rehabilitation to ensure foot health problems are assessed and treated, which in turn will reduce gait dysfunction post stroke and improve overall quality of life.

Rehabilitation imposes a substantial cost to the Ministry of Defence (MOD), following overuse injuries sustained during training and operations. Optimising recovery and return to combat readiness is essential to maintain deployment preparedness, reducing the strain on services and cost. Understanding the relationship between abnormal gait and injury is critical for the diagnosis of overuse injuries. Although 3D motion capture (3DMOCAP) is the recognised gold standard of gait assessment, its logistical demands, time burden, and limited accessibility restrict widespread use. AI-driven mobile applications offer a scalable alternative, providing rapid, low-cost, user-friendly assessment.

The research will be completed to build on my PhD following the proposed studies:

1. Systematic Review: Comparison of smartphone-based gait assessment and EMG sensor applications against 3DMOCAP.

2. Pilot Study: Assessing the validity and reliability of smartphone-based applications in gait trials, informed by the results of the systematic review.

3. Adapting the pose-estimation model based on the findings of Study 1 and 2. For use in MOD clinical settings.

4. Assess real time use of the model in a military population, healthy, progressing to injured.

The aim of this research is to streamline AI smartphone-based gait analysis for use in military populations, diagnosing abnormalities in gait and informing return to duty readiness following rehabilitation of overuse injuries.
 
Preferred Start Date: 2nd November 2026
Expected End Date: 31st August 2027
Working Pattern: 5 Hours per week
Location: On the Lancaster University Campus and Remote

Job Description

  • Develop understanding using equipment during quantitative data collection methods such as use of marker-less and marker-based 3D motion capture and surface electromyography.
  • Develop understanding of qualitative data collection methods such as supporting conduction of focus groups.
  • Develop skills in data analysis such as thematic analysis for questionnaire and focus group data and data processing for 3D motion capture.

Person Specification

We appreciate that not all students will have experience using data analysis software, therefore, experience in this role is not essential to apply for the role, and training will be provided where necessary.

The main role of the student intern will be to support with data collection over the 2 research projects and data processing/analysis. Time will be allocated to support training for the intern when using the equipment and data processing softwares at commencement of the internship.
  • Communication skills including written and verbal communication.
  •  Ability to work well in a team and individually.
  • Laboratory based competencies is desirable but not essential, this internship will build on these skills.

Please apply through ERS with:
  •  A CV including your education history and any work experience (maximum of two full pages) and,
  • A cover letter that explains your interest in research, why you would like to be involved in this particular research internship, and how you meet the criteria outlined in the person specification.
For any informal information about this role please contact Dr Hannah Jarvis [email protected]
 
Working in this role will help develop the following skills and experience:
  • Collaboration
  • Creativity
  • Curiosity
  • Decisiveness
  • Planning and organising
  • Problem solving
  • Resilience
  • Self-motivation
  • Teamwork
  •  Time Management
  • Verbal communication
  • Written communication
 
You are required to submit a cover letter to support your application. Applications without a cover letter will not be considered.

Please note: Unless specified otherwise in the advert wording, this role is only open to individuals living in the UK.

Under the terms of this work, we endeavour to provide the advertised number of hours however, hours are not guaranteed and that work may cease if there is a fall in demand. 

Adverts that display a closing date should be treated as a guide. We reserve the right to close the vacancy once we have received sufficient applications, so we advise you to submit your application as early as possible to prevent disappointment.

Help and advice on making applications can be found on the Lancaster University Careers pages. Visit www.lancaster.ac.uk/careers.