Postdoctoral Research Associate in Video Enhancement

Salary:

£36,333 - £40,745 Grade I,

£40,745 - £45,737 Grade J, per annum

The role

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:

• Tools for analysis, restoration and enhancement of videos degraded by atmospheric distortions based on various machine learning methods;
• An assessment of the performance and utility of the tools produced;
• To document the work carried out and assist in training colleagues how to use the tools
• Publish findings in the high impact journal and international conferences

Administration Responsibilities:

The post holder will be expected to contribute to the organisation of activities and reporting, including those associated with the programmes mentioned above.  

Teaching Responsibilities:

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

You have

• A good honours degree in Electrical/Electronic Engineering, Computer Science or related discipline
• PhD degree in a related discipline such as image processing or machine learning or related discipline, or extensive relevant industrial experience
• A strong research track record in image processing and/or in machine learning with particular application to image enhancement problems (dependent on career stage) and an ability to innovate
• Proven research experience in image processing and in machine learning and/or related areas.
• Strong project management skills.
• A commitment to share knowledge in an enthusiastic and effective manner.
• High quality oral and written delivery
• A high standard of spoken and written English.
• Ability to work effectively independently and within a team.
• An ability to work with colleagues from other complementary disciplines.
• Enthusiastic and flexible with a positive attitude to change and inclusion.
• Outstanding interpersonal skills

Please note appointment to this position is subject to DSTL security clearance requirements.  Details are available at:  https://www.gov.uk/government/organisations/defence-science-and-technology-laboratory/about/recruitment#security-clearance-requirements

Additional information

For informal queries, please contact: Dr Pui Anantrasirichai, [email protected]

To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineeringincludesme.blogs.bristol.ac.uk/

We recently launched our strategy  to 2030 tying together our mission, vision and values.