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into operational decision‑support tools for farmers, in close collaboration with an industry partner. The project focuses on automated rumen‑fill assessment using 3D imaging, computer vision, and predictive
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computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine learning, with practical
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within the University of Münster developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in
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scientific journals. Supervise master’s and/or PhD students to a certain extent. Possibility to engage in teaching at undergraduate/master’s level Contract terms The position is a temporary full-time
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of further development. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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structure and morphology to key device metrics. Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level Contract terms The position is a
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: Ergang Wang, email: ergang@chalmers.se *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position
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other relevant qualifications A high level of computer proficiency, particularly in advanced imaging and image analysis, FACS, in vitro and/or in vivo assays Very high motivation, ambition and enthusiasm
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an