|Salary:||£35,333 to £44,737 per annum|
|Placed On:||6th February 2023|
|Closes:||9th February 2023|
Bristol is a globally leading centre for the creative industries and the University of Bristol provides strategic and research leadership across this local cluster. This role will work on the specific project “Vision-based object recognition under atmospheric distortions” funded by Defence and Security Accelerator (DASA).
The project will address this challenge using modern data driven machine learning methods. Our objectives are: i) to develop real-time video restoration techniques that mitigate spatio-temporal distortions and thus improve visual interpretation of the scene by a human observer, and ii) to assist decision making by implementing and evaluating real-time object recognition and tracking using the restored video. The project relies heavily on image processing methods and machine learning using deep neural networks to underpin the required analytical techniques. It aims to create a new framework for analysis and prediction in these critical domain.
What will you be doing?
The role will deliver:
The post holder will be expected to contribute to the organisation of activities and reporting, including those associated with the programmes mentioned above.
There will be opportunities for the post holder to undertake project supervision at UG/PGT level, particularly related to our BEng/MEng programmes in Computer Science and Electronics and our MSc in Immersive Technologies, and to contribute to the development and delivery of short courses within the MyWorld programme.
You should apply if
For informal queries please contact Dr Pui Anantrasirichai, firstname.lastname@example.org
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