Research Support Officer – Computer Science & Digital Imaging (SEE-SAFE)

Applications are invited for a full-time Research Support Officer to work on the recently funded Health and Care Research Wales project SEE-SAFE: Understanding and Reducing Visual Distortion in Clinical Image Transfer and Video Consultations.

The project investigates the safety and reliability of images and video used in remote healthcare consultations. Images captured using smartphones and other consumer devices may be altered by lighting, camera hardware, device settings, compression, software processing, filters and AI-based image enhancement. These effects can alter clinically important visual information such as colour, texture, contrast and image detail.

The successful applicant will work primarily on Work Package 1 (WP1), which focuses on experimentally quantifying how environmental conditions, imaging devices and software processing affect image and video fidelity. Controlled imaging experiments will compare reference-quality images with images acquired using different smartphones and tablets, lighting conditions, and processing or transmission settings. Computational and AI-supported analysis will be used alongside clinician assessment to quantify visual distortion and investigate its potential impact on clinical interpretation.

This is an interdisciplinary role at the interface of digital imaging, computer science, artificial intelligence and healthcare. The post holder will contribute to experimental imaging, image and video acquisition, data management and computational analysis, working with researchers, clinicians, NHS staff and research participants.

Candidates should be educated to degree level or equivalent in Computer Science, Electronic Engineering, Engineering, Physics, Imaging Science, Data Science or a related discipline, possess knowledge of digital imaging, image processing, computer vision or related technologies. They will also have experience of working with digital images/video and setting up or operating technical equipment or experimental systems and experience of using programming or data-analysis tools to process and analyse research data.

The successful candidate will be expected to commence 1^st February 2027, and the post is available for a period of 12 months.

This post is subject to a satisfactory enhanced Disclosure & Barring Service check.

Applications will also be considered to carry out this role on a part-time or job share basis (equivalent to 1 FTE).

This role will be located on campus at Bangor. Through our Dynamic Working framework, there will also be the option to spend some time working remotely (although remaining in the UK) to support work life balance, which will be discussed further with candidates at interview.

Applications will only be accepted via our on-line recruitment website, jobs.bangor.ac.uk. However, in cases of access issues due to disability, paper application forms are available by telephoning 01248 383865.

Closing date for applications: 02 December 2026

For an informal discussion about the post, please contact: Professor Zengbo Wang, School of Computer Science and Engineering, Email: z.wang@bangor.ac.uk

Committed to Equal Opportunities

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