Research Fellow in Artificial Intelligence - Aberdeen, United Kingdom - University of Aberdeen

Tom O´Connor

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Tom O´Connor

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Description
Research Fellow in Artificial Intelligence


This is a challenging and exciting new role within the School of Engineering supporting a project funded by DERRA which is related previously funded work.


School/Section

  • Engineering

Staff Category

  • Research

Position Type

  • Full Time

Duration of Post

  • Funding/Activity Limited

Grade

  • Grade 6

Salary From
- £36,333


Salary to
- £43,155


Location

  • Aberdeen

Closing Date

  • 21/06/2023

Ref No

  • ENG210R

Documents

  • Further
(PDF, 590.41kb)


The project will focus on the development of AI technologies capable of the classification of holographic images recorded using world leading holographic camera developed at the University of Aberdeen.

In particular, this project will focus on detecting sea lice images from the rest of marine organisms and particles.


In this role you will be responsible for developing the technology capable of analysing and classifying the images in real time.

This will likely require the exploitation of recent developments in AI and Deep Learning in particular Convolutional Neural Networks (CNNs) in tandem with image processing techniques for the rapid analysis of the images.

The technology you develop will therefore need to have a relatively low computational footprint to allow deployment of the system onboard a vessel that takes hologram images and thereby permits real time processing and image classification at sea.

You will also liaise with a current post-doc who is developing a general plankton classification software.


Salary will be at the appropriate point on Grade 6, £36,333 - £43,155 per annum with placement according to qualifications and experience.


Job Reference Number
:
ENG210R


  • The School of Engineering embraces a diverse working environment and recognises the many benefits this can bring. Applications from individuals from across all of the equality protected characteristics are encouraged._

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