ACAD107741

Bristol is acknowledged as a leading centre for the creative industries globally, with the University of Bristol providing its strategic and research leadership. The newly established MyWorld research programme, led by the University of Bristol, builds on the strengths of this regional cluster and on its international connectivity. By fusing contributions from the region's universities with the creative production and technology strengths of businesses across the world, its aim is to catalyse innovation driven growth, through enabling collaborations and synergies across the creative technologies landscape. MyWorld is a five-year, £46m R&D programme, including £30m from the UKRI Strength in Places Fund (SIPF) with a further £16m committed from an alliance of industrial and academic organisations. SIPF is a UK Research and Innovation (UKRI) scheme that takes a place-based approach to research and innovation funding, with the aim of creating significant local economic growth. It is a major intervention by the UK Government to explore the potential of devolved R&D funding. MyWorld is a flagship for the UK's creative technology sector and is unique worldwide. This post, linked to the MyWorld programme and funded by an industrial partner, will be appointed at a Research Associate level and will be expected to carry out internationally-leading research in the area of deep video quality assessment.What will you be doing? Research Responsibilities

• Perform subjective experiments to collect subjective quality scores.
• Develop new deep learning based video quality models.
• Document the work carried out and 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 and facilitate the communication with our collaborators.


• A strong research track record in image processing; and/or in machine learning with particular application to video quality assessment and/or video compression problems and an ability to innovate
• Proven research experience in image processing and in machine learning and/or related areas.
• Strong project management and communication skills.
• A commitment to share knowledge in an enthusiastic and effective manner.
Desirable
• A Proven ability to publish papers in top venues relevant to the area of research.
• A strong working knowledge of programming languages, particularly C and Python.
• Experience with applying (deep) machine methods to visual data and applications.
• Experience in delivering successful research projects.
• Experience with perceptual video quality assessment.
• A proven track record of collaborating with both academic and industrial partners.