DUBLIN CITY UNIVERSITY

Post-doctoral Researcher, Biomechanics

Location
Dublin, Ireland
Posted
Nov 20, 2019
End of advertisement period
Dec 04, 2019
Ref
rf1295
Contract Type
Fixed Term
Hours
Full Time

Research Centre: Insight Centre for Data Analytics
Post Duration: Fixed-term contract (7 months)

Background

The Insight Centre for Data Analytics (http://www.Insight-centre.org) is an SFI funded Research Centre which brings together researchers from University College Dublin, NUI Galway, University College Cork, and Dublin City University, as well as other partner institutions, Trinity College Dublin (TCD), University of Limerick (UL), National University of Ireland, Maynooth (MU) and Tyndall National Institute. It creates a critical mass of more than 400 researchers from Ireland's top ICT clusters to carry out research on a new generation of data analytics technologies in a number of key application domain areas, such as Health and Human Performance, Smart Communities, Internet of Things, Enterprise and Services and Sustainability and Operations.

The €150m Centre is funded by Science Foundation Ireland and a wide range of industry and European Union partners. Insight's research focus encompasses a broad range of data analytics technologies from machine learning, decision analytics and social network analysis to linked data, recommender systems and the sensor web. Together, with more than 220 partner companies, Insight researchers are solving critical challenges in the areas of Connected Health and the Discovery Economy.

The Project

Insight wishes to recruit a Post-Doctoral Researcher on a fixed-term contract basis to facilitate the processing and analysis of already collected motion analysis and inertia sensor data from a prospective running injuries study, to help develop industry-funded research Targeted Project links related to biomechanics, and explore the feasibility of a running injuries intervention study. This role requires the candidate to have a strong background in human movement biomechanics, experience in industry partnerships and working knowledge of machine learning.

Principle Duties and Responsibilities

Reporting to their Principal Investigator the duties and responsibilities of the Postdoctoral Researcher will include:

  • Process motion analysis data (Vicon, UK) and inertial sensor data (Shimmer, Ireland), collected already as part of a large scale prospective study on running related injuries.
  • Apply machine learning and data analytical techniques to explore the relationship between the processed data and predisposition to running related injuries. 
  • Help develop industry-sponsored research Targeted Project links related to sensed data and the biomechanics of injury, performance or health. This will include helping to identify potential industry partners, demonstrating Insight’s capabilities and overseeing on the delivery of the project.  
  • Collect biomechanical based data (e.g. motion analysis, inertial sensor, pressure insoles) on projects within our programme of research
  • Support the overall research programme of the research group in close collaboration with PhD researchers.
  • Disseminate through peer reviewed publication and conference presentation the research outputs of the research group.
  • Carry out administrative work associated with the programme of research as necessary.

Below are some pointers for the type of experience we require:

  • PhD in a relevant discipline or equivalent 4 years fulltime research after primary degree
  • Excellent knowledge and experience with biomechanical data collection systems, including: motion analysis systems (e.g. Vicon, UK), inertial sensors (e.g. Shimmer, UK), and insole pressure systems (e.g. Novel, Germany).
  • Significant experience in examining the relationship between the biomechanics of human movement and either injury, performance or health.
  • Experience in undertaking industry funded biomechanical-based research. 
  • Knowledge and experience of one or more of: MATLAB, Python.
  • Knowledge of machine learning and advanced data analytical approaches.
  • Knowledge of data warehousing standards.

Skills

  • Excellent written and oral proficiency in English (essential), good communication and interpersonal skills both written and verbal.
  • Proven ability to prioritise workload and work to exacting deadlines.
  • Flexible and adaptable in responding to stakeholder needs.
  • Strong team player who is able to take responsibility to contribute to the overall success of the team.
  • Enthusiastic and structured approach to research and development.
  • Excellent problem solving abilities.
  • Desire to learn about new technologies and approaches to data analysis

Mandatory Training

The post holder will be required to undertake the following mandatory compliance training: Health and Safety and Intellectual Property and Data Protection training. Other training may need to be undertaken when required.