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Research Associate in Gait Analysis

Requisition ID:  5285
Location: 

Newcastle, GB

Contract Type:  Fixed Term
Working Pattern:  Full Time
Posted Date: 

 

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

 

Salary: £30,942 - £32,817 per annum

 

Closing Date: 5 November 2020

The Role

 

You will look at the use of wearable technology in laboratory and real-world setting to quantify digital mobility outcomes in order to: identify disease (e.g. D&FP), detect clinically relevant changes and potential disease modifying effects (Cure Parkinson’s Trust), and predict intervention and/or treatment responses.  You will involve regularly training and supporting staff to use wearable technology throughout the studies, liaising with staff across multiple sites for data transfer and any technical support, processing wearable sensor data pertaining to gait and activity, managing complex datasets and collaborate with researchers in partner institutions (e.g. Oxford University) to publish and present key findings from the projects.

 

You will be based in the Translational and Clinical Research Institute and it will focus on the application of wearable technology to measure digital mobility outcomes in a range of patient cohorts.

 

The role is fixed term for 2 years and provides an exciting opportunity for an early career scientist who is interested in human movement, wearable technology and digital outcomes. You will be expected to work in an interdisciplinary group who has an established international reputation in gait analysis and wearable technology analytics.

 

You will have a PhD in Biomedical Science, Movement Science or related field, experience working with wearable sensor data and digital outcomes; proficient and independent signal processing, statistical and computational skills, and ability to work independently and as part of a team.  You will be mentored by an experienced member of academic staff throughout their term in one of our Research Institutes.

 

For informal enquiries, please contact Dr Silvia Del Din (silvia.del-din@ncl.ac.uk)

 

This is a full time, fixed term post for the duration of 2 years.

 

Brain and Movement Research Team: https://research.ncl.ac.uk/bam/

Translational and Clinical Research Institute: https://www.ncl.ac.uk/medical-sciences/research/institutes/translational/

         

Key Accountabilities

  

  • Manage large data transfer from multiple multi-centres projects (national and international, observational and interventional)
  • Manage work flow within the project for data management
  • Communicate with, provide training and technical support to multiple centres involved in the national and international projects
  • Collect clinical data with wearable sensors and carry out technical validation if necessary
  • Apply a plethora of existing and develop new signal processing techniques and algorithms to extract relevant digital mobility outcomes pertaining to gait and activity patterns in a variety of participant cohorts (e.g. older adults, people with Parkinson’s disease, dementia, etc.)
  • Manage complex data sets
  • Prepare reports and write papers

  

The Person (Essential)

 

 Knowledge, Skills and Experience  

  • Expertise working with wearable sensor data and analysis
  • Experience with movement analysis and signal processing (especially as applied to locomotion/ gait)
  • Expertise in developing novel algorithms, but also understanding, optimising and applying developed algorithms for extraction of digital mobility outcomes (e.g. gait outcomes)
  • Very good knowledge of and experience using Matlab or equivalent programming languages (e.g. Octave, Python, etc.)
  • Database and project management skills
  • Excellent communication skills
  • Knowledge of statistical techniques

Desirable

  • Knowledge of machine learning techniques
  • Good information technology and computing skills and experience with cloud computing platforms
  • Experience of working with older adults and/or patients

 

 Attributes and Behaviour 

  • Ability to work independently and as part of a team
  • Capacity for original thought

 

Qualifications 

  • PhD in Biomedical Engineering, Movement Science or related field

 

Newcastle University is committed to being a fully inclusive Global University which actively recruits, supports and retains staff from all sectors of society.  We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the communities they represent.  We are proud to be an equal opportunities employer and encourage applications from everybody, regardless of race, sex, ethnicity, religion, nationality, sexual orientation, age, disability, gender identity, marital status/civil partnership, pregnancy and maternity, as well as being open to flexible working practices.

 

 

The University holds a silver Athena SWAN award in recognition of our good employment practices for the advancement of gender equality.  The University also holds the HR Excellence in Research award for our work to support the career development of our researchers, and is a member of the Euraxess initiative supporting researchers in Europe.

 

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Requisition ID: 5285