Research Associate In Computer Vision And Machine Learning

The Centre for Machine Vision (CMV) is seeking to appoint a Research Fellow to focus on applications of computer vision and machine learning. These are full time, fixed term posts for three years.The CMV is within the Department of Engineering, Design and Mathematics and is located within the Bristol Robotics Laboratory (BRL - ), a joint venture between UWE and Bristol University.The CMV is currently comprised of 15 researchers, five PhD students and four visiting academics and attracts funding from a range of bodies that include BBSRC, EPSRC and InnovateUK. We also undertake research funded by medical charities, as well as commercial consultancy work for various companies. The CMV specialises in real-world applications of computer vision and machine learning for the realisation of working prototypes and demonstrators, with a strong emphasis on data capture, modelling and analysis. Previous applications include agriculture (animal and plant monitoring), medicine (vision systems for

patient diagnosis/analysis and human-computer interaction) and biometrics (human and animal face recognition and non-contact palmprint recognition). The work of the CMV team was graded to be of international standing in the 2021 REF, with 81% of CMV\'s work was found to be world-leading/internationally excellent in terms of originality, significance and rigour.About you
Candidates with experience of computer vision and/or machine learning are encouraged to apply. Successful applicants will have expertise in computer science or a related field, with a focus on computer vision or deep learning. A master\'s level qualification, or equivalent, is essential; the candidate should be willing to register for a PhD in machine vision/machine learning.In addition to a number of new projects starting or about to start, for example PIMS ID 10144655 (Support for Belron Projects) and PIMS ID 10487555 (IntelliPig), we have recently applied for funding in the form of major research projects related mainly to agri-tech and industrial automation applications. Example projects include: In-depth machine vision/deep learning analysis of pig images, for development of new methods for monitoring pig condition and health, and Innovative machine vision solutions for automotive camera/systems calibration.There may also be opportunity for input on other projects,
including human-computer interaction, healthy aging, and water quality assurance - including water sample analysis and overflow analysis to monitor water treatment plant emissions. These will depend on the progress on the existing projects and the priorities associated with this work.Where is this role based?