Research Assistant - Cambridge, United Kingdom - University of Cambridge

Tom O´Connor

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Tom O´Connor

beBee Recruiter


Description
Fixed-term: The funds for this post are available for 1 year.


We are seeking a computer scientist with experience in both embedded systems and/or sensing systems and AI algorithms, who is interested in working at the interface between computer science and zoology for a project on biodiversity monitoring.

They will join the Energy and Environment Group in the Department of Computer Science and Technology and collaborate closely not only with faculty and students in the Department of Zoology and the Department of Plant Sciences but also Nokia Bell Laboratories, Cambridge, a leading lab working in the areas of Future Devices, Mobile Sensing and Systems, Embedded Machine Learning, and Internet of Things research.


The project aims to design and implement an ultra-low power ML system on energy-autonomous devices (camera, microphone, and low-fidelity sensors) for biodiversity monitoring (especially insects).

The project will leverage existing energy-autonomous devices, such as Nokia Bell Labs camera battery-less camera prototype.


Essential

  • An MPhil in Computer Science
  • A good understanding of powerconstrained DNNs
  • Practical experience in designing and developing algorithms for biodiversity monitoring
  • Willingness to work in a large interdisciplinary team addressing practical problems
  • Good communications skills

Desirable

  • Motivated by an interest in conserving nature
  • Knowledge of Tsetslin machines
  • Willingness to engage in some biodiversity field work
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