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the Integreat community whose members are in Tromsø and Oslo. Your role as a PhD Fellow You will be an integral part of Integreat via the UiT Machine Learning Group. You will engage in collaborative research with
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of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods on computer vision. Job Requirements: Preferably PhD in Computer
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Stig Brøndbo 22nd October 2025 Languages English English English Faculty of Science and Technology PhD Fellow in Knowledge-Driven Machine Learning Apply for this job See advertisement The position A
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multi-disciplinary team of researchers, and will be expected to participate in other projects to ensure a well-rounded post-doctoral training. Education PhD in Computer Engineering, Computer Science, or a
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, or closely related subjects (such as Computer Science, Maths, Engineering or Physics), and possess a strong track record in machine learning, and/or wireless communication, radar sensing. Excellent
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innovations in computer vision and computer graphics (segmentation, registration, tracking and visualisation) to enable real-time interaction for surgical planning and decision making. The project will provide
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Computer Science. This is a trainee position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be
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the final exam. Desired qualifications: Experience in areas such as machine learning, computer vision, control sys-tems, perception, control engineering, or autonomous systems Familiarity with ROS (Robot
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students to drive forward a diverse research program focused on machine learning and policy evaluation. The following tasks are designed to culminate in co-authorship on research papers: Plan and perform
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at the University of Adelaide, contributing to cutting-edge research in computer vision and machine learning for space applications. This role focuses on advancing machine learning and computer vision research, with