Researcher in Big-Data Software

University of York Department of Computer Science

Big-Data Software Engineer (KTP Associate)

Department:Computer Science
Based at:Jigsaw Insurance Services PLC, Harrogate
Hours of work:Full-time
Contract status:Fixed term
Salary:38,017 a year (fixed - no increments) with an additional 2,000pa personal training budget
Interview Date:To be confirmed
Posted Date:12/02/2021
Apply by:14/03/2021
Job Reference:9150

Role Description

Duration: 15 months

Based at Jigsaw Insurance Services PLC in Harrogate, you will be part of a Knowledge Transfer Partnership (KTP) between Jigsaw and the University of York, developing real-time analysis of vehicle drivers for the insurance industry.


This is one of two posts available on this KTP. You will be involved in developing a mobile application and a scalable data processing platform to analyse the driver’s performance and detect accidents. This involves the collection, streaming and distributed processing of visual, motion and other sensor data to determine critical events. You will be expected to identify appropriate cutting-edge technologies and use them to develop methods to solve these problems. The other post involves the development of machine learning and computer vision solutions to identify the vehicle user, analyse the driver’s performance and detect accidents in real time. You will be employed by the University of York, and supported by University academics, but will be based at Jigsaw’s site in Harrogate and will work closely with their Analytics team.

The post is full-time and is for 15 months.

The salary is £38,017, fixed for the project duration. There is also an additional £2,000pa available for personal training and development.

Skills, Experience & Qualifications

  • Preferably you will have a PhD in enterprise computing, distributed systems, big data, or a closely related area. A MSc degree in the same areas will also be considered. Some experience of mobile application development and data processing platforms such as Apache Spark, Flink and Kafka will be an advantage.
  • Extensive coding experience in a relevant language (e.g. Java, Python) is required.
  • You will also have strong presentation, writing, and communications skills.
  • You should be able to work well in a group and under your own initiative, and proactive about suggesting innovative solutions.

Interview date: To be confirmed

For informal enquiries: please contact (Prof Dimitris Kolovos) on ( )

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