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Data Analysis and Visualisation Scientist - KTP Associate

University of Reading - Knowledge Transfer Centre

Location: Reading
Salary: £32,000 to £37,000 depending on qualifications and experience
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 21st June 2019
Closes: 21st July 2019
Job Ref: KT19006

A Knowledge Transfer Partnership between the University of Reading and Kymira provides an exciting opportunity to develop new ‘smart’ garments that incorporate embedded electronic sensors and components within the garments, capable of transmitting data from the garments for analysis. This position will extract meaningful information from movement and physiological data collected by the garments and work with end users (coaches, sports professionals, managers and physiotherapists) on data visualisations and interfaces. The position is a 24-month fixed term contract based at Kymira in Reading

About Kymira:

Kymira® is an advanced textile company founded in 2013 at the prestigious Science and Technology Centre at the University of Reading. Through our smart garments, we enhance the performance of athletes, aid circulation, accelerate recovery, monitor and report on human well-being. Since 2016, KYMIRA has been conducting new R&D into electronic(e)-textiles for primary usage within the medical and healthcare markets. KYMIRA and partners are developing innovative techniques to embed printed electronics into clothing for scalable manufacture and incorporating sensors that can record biodata for sport and health monitoring applications. Find out more by visiting:

About KTP:

This position forms part of the Knowledge Transfer Partnership (KTP) funded by Innovate UK. It’s essential you understand how KTP works with business and the University, and the vital role you will play if you successfully secure a KTP Associate position.

Skill development through training:

There is a £4k dedicated training budget tailored towards your own personal development in addition to residential management skills training.

The successful candidate must possess:

  • Strong degree in Engineering, Computer Sciences, Biomedical Engineering, or a related science

The successful candidate should also possess:

  • Knowledge of tools and techniques for signal processing techniques, machine learning
  • Knowledge of user centred design principles and methods
  • A willingness and desire to engage and learn how to use cloud based computing

Essential skills we require as a minimum:

  • Strong mathematical and analytical skills
  • Strong teamwork and time management skills
  • Excellent interpersonal communication skills
  • Demonstrate the desire and ability to lead on a commercial project with an understanding of the multi-dimensional nature of a KTP project

Interview Date: 31 July 2019

Informal contact details

Contact role: Academic Lead/Supervisor
Contact name: Associate Professor Faustina Hwang
Contact phone: 0118 378 7668
Contact email:

Alternative informal contact details

Contact role: Academic Support to project
Contact name: Professor William Harwin
Contact phone: 0118 378 6792
Contact email:

The University is committed to having a diverse and inclusive workforce, is a Stonewall Diversity and Global Diversity Champion, and supports the principles of the Race Equality Charter and Athena SWAN.

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