Postdoc Research Asst Drone/Image Analyses

Liverpool, Merseyside (GB)
10 Apr 2018
End of advertisement period
18 Apr 2018
Contract Type
Fixed Term
Full Time

Postdoc Research Asst Drone/Image analyses(Natural Sciences & Psychology)

Contract Type      Fixed Term
Hours     Full Time
Job Type     Research
Salary     £32,548 - £38,833 per annum
Vacancy Type    Academic / Research Vacancies
Closing Date     18/04/2018 
Ref No     2228

Postdoctoral Research Assistant in Drone/Image analyses (School of Natural Sciences & Psychology)

Fixed term, 31 May 2018 – 31 May 2020

The School of Natural Sciences and Psychology is recruiting a Research Assistant to work on the project entitled: Astro-ecology: the solution from the skies to save Earth's biodiversity. In brief, the aim of this part of the project is to develop an autonomous drone system that allows for real-time detection of animals/humans from thermal and RGB images and sends these classification results back to rangers on the ground. This work is undertaken with other members of staff in the Faculty of Science and the Faculty of Engineering and Technology.

A PhD in an engineering discipline, preferably related to robotics, autonomous systems or drones is essential. You should have an understanding of the fundamentals of image processing, object detection and classification and an understanding of basic components of drone systems. Programming and software development experience is essential.

Experience in the design, build and operation of advanced drone systems, including autopilots, sensor payloads and autonomous control software is beneficial. You will also have a record of published papers and are able to work in a multidisciplinary team. You should also be willing to travel to remote locations to test the system in the field. You should either be a proficient drone pilot, or be willing to undertake the necessary training as a part of the role.

Informal enquiries may be made to Prof. Serge Wich, email:

Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.

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