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The Department of Automatic control is recruiting a Senior Lecturer in Automatic Control with focus on machine learning at the border between ICT and life science. Automatic Control is an exciting
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using machine learning. With the help of deep-learning approaches methods to predict flexibility, conformational changes, and structural ensembles will be developed. The project may also involve
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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
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development phase of the project. This involves using large volumes of forest inventory data for training different machine learning models to both classify tree species and map their proportions across
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of advanced data analytics, machine learning, and artificial intelligence allows for the interpretation of large volumes of data to identify patterns, predict failures, and guide tasks such as resource
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communication skills. Other experience relevant to the third-cycle studies, e.g. professional experience. Other assessment criteria: Experience working with Deep Learning and/or Computer Graphics Familiarity with Deep
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following shall form the assessment criteria: A good ability to develop and conduct high quality research. Teaching skills. Additional assessment criteria: Experience in machine learning Experience in image
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or other extreme manufacturing processes. Data acquisition and real-time monitoring systems. Experience in Machine Learning or related subjects. Collaboration with industrial partners. Consideration will
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or related areas Experience in programming using R or Python Good knowledge and experience in machine learning Practical experience conducting plant survey and identification work Consideration will also be
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of training in higher education teaching and learning. Based on vegetation information from site inventory, lidar and satellite imagery, you will derive a unique dataset of stand characteristics for the study