Research Assistant in Data Processing in Raspberry Pi

University of Cambridge - Department of Computer Science and Technology

Fixed-term: The funds for this post are available for 2 months in the first instance.

This position is funded by the EPSRC Global Challenge Research Fund 'AirborNet: Data-Driven Modelling for Airborne Diseases'. The successful candidates will join the systems research group. The project deals with distributed data processing over Raspberry Pi and other single board (e.g. NVIDIA Jetson X2) based cluster computing environment, where Unikernels are exploited to improve data processing performance. The project includes development of CO2 sensing unit with Raspberry Pi. Ideal candidates will hold a BSc in a Computer Science related field. Following skills are essential.

  • C, C++ programming
  • Raspberry Pi
  • TensorFlow
  • Linux
  • Network communication
  • Basic of Machine Learning

Also the following experiences will be desirable:

  • Writing applications using Deep Neural Networks, Convolutional Networks
  • CUDA on GPU
  • Unikernel (e.g. rumprun, mirage)

The post is intended to start on the 8th January, 2018, although some flexibility is possible.

Please email informal enquires to Dr. Eiko Yoneki (email: eiko.yoneki@cl.cam.ac.uk).

To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/15841. This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form.

You will need to upload a full Curriculum Vitae (CV) and covering letter. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please quote reference NR14083 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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South East England