One of the top 200 modern universities in the world, Manchester Metropolitan is renowned for its research and teaching in areas such as Science, Engineering, Business, Creative Writing, Architecture and Fashion. This post will be based within the Department of Engineering at Manchester Metropolitan University, specifically within Applied Image Engineering. The Applied Image Engineering (AIE) service was established in January 2019, and is an interdisciplinary group of researchers within the Departments of Engineering, Computer Science and Natural Science. The AIE offers software solutions in computer vision and Deep Learning for researchers within the university. The aim of the service is not simply to produce software and analysis tools for researchers, but to work with them, providing the tools, advice and training they need for best practice.
This position is for 12 months in the first instance, with the possibility for extension due to further funding. The main purpose of this role is to undertake research and development in the field of Applied Image Engineering. Within this role, you will develop Software (including Graphical User Interfaces) and integrate image processing and Deep Learning algorithms to a range of projects. You will support research and knowledge exchange activities and develop case studies and proposals to attract external funding.
You will develop and take responsibility for the management of discrete research projects. You will work closely with senior research staff to analyse and disseminate research findings through relevant journals, conferences, and seminars, in order to further the institution’s standing in the Higher Education and research community, and contribute to the development of new areas in the field of Applied Image Engineering.
You will have experience of software development, with a focus on Applied Image Engineering. You will have good knowledge of computer vision techniques and experience with Deep Learning and machine learning with a focus on vision tasks. Prior experience of working with 3-dimensional visual data, reconstruction and calibration would be helpful. Familiarity with various programming languages e.g. C++, python, swift, the Graphical API OpenGL and computer vision libraries such as OpenCV is preferred, as well as experience working on multi-disciplinary projects.
To apply: Please attach your CV and covering letter to the online portal.
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We promote applications from all sections of the community, irrespective of background, belief or identity, recognising the benefits that a diverse organisation can bring and particularly encourage applications from groups which are underrepresented in the University workforce.
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