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Research Fellow – Internet of Things (IOT) Analytics

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Job Details

  • £33,829 - £38,052 per annum
  • University of Huddersfield, Huddersfield
  • Closes Today 01:00
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School of Computing and Engineering

Research Fellow – Internet of Things (IOT) Analytics
£33,829 - £38,052 per annum
Open-ended appointment, Full Time

The Centre for Industrial Analytics (CIndA) is seeking to recruit a highly qualified and experienced Research Fellow in Internet of Things (IoT) Analytics. You will have a degree and a PhD in Computer Science (or a related area), postdoctoral experience in computer networking and a track record of high quality peer-reviewed, international outputs.

You must be able to demonstrate evidence of expertise in one or more of the following areas:

  • Internet of Things (IoT) analytics
  • Embedded systems development
  • Wireless Sensor Networks
  • Security and network protocol development
  • Microsoft/Cisco professional certification
  • Edge computing infrastructure
  • Distributed computing systems
  • Network simulation and algorithm optimisation

You will have significant experience of distributed computing platforms and hardware, and will need to be a fluent programmer, using both functional and object based approaches. You will also be competent with network modelling and simulation methods across different hardware architecture.

A willingness to undertake administrative duties is essential, along with effective communication, interpersonal and organisational skills, a commitment to equal opportunities and to the development of yourself and others. You will also be able to work as part of a team and be interested in contributing to novel approaches to research and teaching support.

CIndA works with the Department of Computer Science, which holds a framework agreement with CERN (https://home.cern/about), the European Organisation for Nuclear Research, which facilitates working together on world-leading research projects, including the development of specific technologies for edge processing of scientific data in real time.

For further information please contact Professor Richard Hill on telephone 01484 472060 or email r.hill@hud.ac.uk.

For further details about this post and to make an application please visit http://hud.ac/eec

Closing Date: 28 May 2018

Interview Date: 27 June 2018

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