Department The project offers a fixed term Research Assistant contract until 31 December 2025, focused on the development of a data quality analysis and control platform for monitoring the growth and health of aquaculture species. The project aims to evaluate the use of underwater cameras attached to a drone to monitor the growth and health of aquaculture species. Its objectives are to improve the data quality of the video image captured from underwater environment using deep learning and computer vision; and to design a control algorithm to maneuver the drone allowing the camera to provide sufficient information to represent the behavior and its morphology. Role The main purpose of this role: To provide support to the research project, undertaking research work within the overall programme and assisting with the day to day operation of the project The successful candidate should possess a good honours degree in Computer Science, Engineering or related discipline. It is a multi-disciplinary project, so evidence of the ability to engage in scientific research and work collaboratively as part of a team is required. Experience in relevant areas, including computer vision, image processing and analysis (object detection and segmentation), machine learning, hardware, and experience in developing software, would be crucial. Applicants with extensive practical experience using deep learning with Pytorch or TensorFlow are particularly welcome. Skills, Experience & Qualification needed Undergraduate degree in Computer Science, Engineering or equivalent experience Knowledge of computer vision, image processing and analysis, andmachine learning Knowledge of a range of research techniques and methodologies Research experience in object detection and segmentation Ability to undertake academic research. Examples may include preparing, setting up, conducting and recoding the outcome of experiments or field work, the development of questionnaires and conducting surveys Excellent IT skills software development skills Ability to assist in the supervision of student projects Excellent written communication in order to contribute effectively to the production of research reports and publications Ability to work as part of a team and also to work independently using own initiative Experience of developing software components Interview date: TBC For informal enquiries: please contact Dr Pengcheng Liu (email: pengcheng.liuyork.ac.uk) The University strives to be diverse and inclusive – a place where we can ALL be ourselves. We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University. We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. EqualityatYork